# ![@Yuqing7 Avatar](https://lunarcrush.com/gi/w:26/cr:reddit::t2_2fv4yodo.png) @Yuqing7 Yuqing7

Yuqing7 posts on Reddit about $googl, university of, facebook, microsoft the most. They currently have [------] followers and [---] posts still getting attention that total [--] engagements in the last [--] hours.

### Engagements: [--] [#](/creator/reddit::t2_2fv4yodo/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_2fv4yodo/c:line/m:interactions.svg)

- [--] Week [--] +13%
- [--] Month [-----] -26%
- [--] Months [-----] +408%
- [--] Year [------] +1,108%

### Mentions: [--] [#](/creator/reddit::t2_2fv4yodo/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_2fv4yodo/c:line/m:posts_active.svg)

- [--] Week [--] -33%
- [--] Month [--] no change
- [--] Months [--] +85%
- [--] Year [--] +80%

### Followers: [------] [#](/creator/reddit::t2_2fv4yodo/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_2fv4yodo/c:line/m:followers.svg)

- [--] Months [------] no change
- [--] Year [------] no change

### CreatorRank: undefined [#](/creator/reddit::t2_2fv4yodo/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_2fv4yodo/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  52.94% [stocks](/list/stocks)  31.37% [social networks](/list/social-networks)  12.75% [travel destinations](/list/travel-destinations)  9.8% [finance](/list/finance)  2.94% [exchanges](/list/exchanges)  1.96% [cryptocurrencies](/list/cryptocurrencies)  1.96% [countries](/list/countries)  0.98%

**Social topic influence**
[$googl](/topic/$googl) 20.59%, [university of](/topic/university-of) 14.71%, [facebook](/topic/facebook) 10.78%, [microsoft](/topic/microsoft) 7.84%, [has been](/topic/has-been) 5.88%, [blog](/topic/blog) 5.88%, [bytedance](/topic/bytedance) 5.88%, [worlds first](/topic/worlds-first) 5.88%, [shanghai](/topic/shanghai) 5.88%, [built on](/topic/built-on) 4.9%

**Top assets mentioned**
[Alphabet Inc Class A (GOOGL)](/topic/$googl) [Microsoft Corp. (MSFT)](/topic/microsoft)
### Top Social Posts
Top posts by engagements in the last [--] hours

"N Bengio-Backed Startup Korbit Introduces STEM Intelligent Tutoring System artificial artificial"  
[Reddit Link](https://redd.it/gsg039)  2025-09-07T13:36Z [--] followers, [--] engagements


"N Bengio-Backed Startup Korbit Introduces STEM Intelligent Tutoring System ArtificialInteligence ArtificialInteligence"  
[Reddit Link](https://redd.it/gsg4rs)  2025-06-09T04:00Z [--] followers, [--] engagements


"Clova AI Releases StarGAN v2 Code Pretrained Models and Datasets South Koreas Naver Clova AI Research is one of the institutions behind the unsupervised generative network U-GAT-IT. The tech has been attracting attention on the Internet due to the new Tensorflow implementation(https://medium.com/syncedreview/unsupervised-image-to-image-translation-turns-selfies-into-anime-characters-c90293e0f296) and anime generation tool Selfie [--] Waifu. Now Clova AI has announced the official PyTorch implementation(https://github.com/clovaai/stargan-v2) of another of its popular models StarGAN v2. The Clova"  
[Reddit Link](https://redd.it/gacjpq)  2020-04-29T16:25Z 28.2K followers, [--] engagements


"D AI21 Labs Asks: How Much Does It Cost to Train NLP Models AI21 Labs Co-CEO Stanford University Professor of Computer Science (emeritus) and AI Index(https://aiindex.org/) initiator Yoav Shoham describes the motivation for the project. It started with an inquiry we got at the AI Index. I started jotting down a quick answer and realized it deserved a longer one. I also realized we had a lot of the expertise at AI21 Labs. So we spun up a small effort to put this report together to benefit the community. The team compared three different-sized Google BERT language models on the [--] GB Wikipedia"  
[Reddit Link](https://redd.it/gb27wu)  2020-04-30T19:17Z 28.2K followers, [--] engagements


"D AI21 Labs Asks: How Much Does It Cost to Train NLP Models AI21 Labs Co-CEO Stanford University Professor of Computer Science (emeritus) and AI Index(https://aiindex.org/) initiator Yoav Shoham describes the motivation for the project. It started with an inquiry we got at the AI Index. I started jotting down a quick answer and realized it deserved a longer one. I also realized we had a lot of the expertise at AI21 Labs. So we spun up a small effort to put this report together to benefit the community. The team compared three different-sized Google BERT language models on the [--] GB Wikipedia"  
[Reddit Link](https://redd.it/gb28nq)  2020-04-30T19:18Z 28.2K followers, [--] engagements


"D AI21 Labs Asks: How Much Does It Cost to Train NLP Models AI21 Labs Co-CEO Stanford University Professor of Computer Science (emeritus) and AI Index(https://aiindex.org/) initiator Yoav Shoham describes the motivation for the project. It started with an inquiry we got at the AI Index. I started jotting down a quick answer and realized it deserved a longer one. I also realized we had a lot of the expertise at AI21 Labs. So we spun up a small effort to put this report together to benefit the community. The team compared three different-sized Google BERT language models on the [--] GB Wikipedia"  
[Reddit Link](https://redd.it/gb28tu)  2020-04-30T19:18Z 28.2K followers, [--] engagements


"D AI21 Labs Asks: How Much Does It Cost to Train NLP Models AI21 Labs Co-CEO Stanford University Professor of Computer Science (emeritus) and AI Index(https://aiindex.org/) initiator Yoav Shoham describes the motivation for the project. It started with an inquiry we got at the AI Index. I started jotting down a quick answer and realized it deserved a longer one. I also realized we had a lot of the expertise at AI21 Labs. So we spun up a small effort to put this report together to benefit the community. The team compared three different-sized Google BERT language models on the [--] GB Wikipedia"  
[Reddit Link](https://redd.it/gb28zv)  2020-04-30T19:19Z 28.2K followers, [--] engagements


"D AI21 Labs Asks: How Much Does It Cost to Train NLP Models AI21 Labs Co-CEO Stanford University Professor of Computer Science (emeritus) and AI Index(https://aiindex.org/) initiator Yoav Shoham describes the motivation for the project. It started with an inquiry we got at the AI Index. I started jotting down a quick answer and realized it deserved a longer one. I also realized we had a lot of the expertise at AI21 Labs. So we spun up a small effort to put this report together to benefit the community. The team compared three different-sized Google BERT language models on the [--] GB Wikipedia"  
[Reddit Link](https://redd.it/gb2961)  2020-04-30T19:19Z 28.2K followers, [--] engagements


"Yoshua Bengio Elected Royal Society Fellow The Royal Society yesterday announced(https://royalsociety.org/news/2020/04/outstanding-scientists-elected-as-fellows-and-foreign-members-of-the-royal-society/) that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members(https://royalsociety.org/fellows/fellows-directory/). As one of the founding fathers of deep learning Yoshua Bengio(https://royalsociety.org/people/Yoshua-Bengio-25320/) is honoured this year. His work on neural networks and machine translation helped bring about the AI"  
[Reddit Link](https://redd.it/gbjyub)  2020-05-01T15:16Z 28.2K followers, [--] engagements


"Yoshua Bengio Elected Royal Society Fellow The Royal Society yesterday announced(https://royalsociety.org/news/2020/04/outstanding-scientists-elected-as-fellows-and-foreign-members-of-the-royal-society/) that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members(https://royalsociety.org/fellows/fellows-directory/). As one of the founding fathers of deep learning Yoshua Bengio(https://royalsociety.org/people/Yoshua-Bengio-25320/) is honoured this year. His work on neural networks and machine translation helped bring about the AI"  
[Reddit Link](https://redd.it/gbjz2f)  2020-05-01T15:16Z 28.2K followers, [--] engagements


"N Yoshua Bengio Elected Royal Society Fellow The Royal Society yesterday announced(https://royalsociety.org/news/2020/04/outstanding-scientists-elected-as-fellows-and-foreign-members-of-the-royal-society/) that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members(https://royalsociety.org/fellows/fellows-directory/). As one of the founding fathers of deep learning Yoshua Bengio(https://royalsociety.org/people/Yoshua-Bengio-25320/) is honoured this year. His work on neural networks and machine translation helped bring about the AI"  
[Reddit Link](https://redd.it/gbjza2)  2020-05-01T15:17Z 28.2K followers, [--] engagements


"Yoshua Bengio Elected Royal Society Fellow The Royal Society yesterday announced(https://royalsociety.org/news/2020/04/outstanding-scientists-elected-as-fellows-and-foreign-members-of-the-royal-society/) that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members(https://royalsociety.org/fellows/fellows-directory/). As one of the founding fathers of deep learning Yoshua Bengio(https://royalsociety.org/people/Yoshua-Bengio-25320/) is honoured this year. His work on neural networks and machine translation helped bring about the AI"  
[Reddit Link](https://redd.it/gbk102)  2020-05-01T15:19Z 28.2K followers, [--] engagements


"Yoshua Bengio Elected Royal Society Fellow The Royal Society yesterday announced(https://royalsociety.org/news/2020/04/outstanding-scientists-elected-as-fellows-and-foreign-members-of-the-royal-society/) that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members(https://royalsociety.org/fellows/fellows-directory/). As one of the founding fathers of deep learning Yoshua Bengio(https://royalsociety.org/people/Yoshua-Bengio-25320/) is honoured this year. His work on neural networks and machine translation helped bring about the AI"  
[Reddit Link](https://redd.it/gbk17i)  2020-05-01T15:19Z 28.2K followers, [--] engagements


"New TTNet Table Tennis Model Accelerates DL in Sports Analysis A team of researchers from Russian AI startup OSAI recently introduced the real-time neural network TTNet designed for processing high-resolution table tennis videos with both temporal (event spotting) and spatial (ball detection and semantic segmentation) data. This method provides core information that can be used by various analytical and referee systems. Here is a quick read: New TTNet Table Tennis Model Accelerates DL in Sports"  
[Reddit Link](https://redd.it/ge2qm1)  2020-05-05T18:03Z 28.2K followers, [--] engagements


"New TTNet Table Tennis Model Accelerates DL in Sports Analysis A team of researchers from Russian AI startup OSAI recently introduced the real-time neural network TTNet designed for processing high-resolution table tennis videos with both temporal (event spotting) and spatial (ball detection and semantic segmentation) data. This method provides core information that can be used by various analytical and referee systems. Here is a quick read: New TTNet Table Tennis Model Accelerates DL in Sports"  
[Reddit Link](https://redd.it/ge2qvw)  2020-05-05T18:03Z 28.2K followers, [--] engagements


"New TTNet Table Tennis Model Accelerates DL in Sports Analysis A team of researchers from Russian AI startup OSAI recently introduced the real-time neural network TTNet designed for processing high-resolution table tennis videos with both temporal (event spotting) and spatial (ball detection and semantic segmentation) data. This method provides core information that can be used by various analytical and referee systems. Here is a quick read: New TTNet Table Tennis Model Accelerates DL in Sports"  
[Reddit Link](https://redd.it/ge2r2m)  2020-05-05T18:03Z 28.2K followers, [--] engagements


"N Japanese Unicorn Preferred Networks Releases First PyTorch Library Japanese artificial intelligence startup Preferred Networks (PFN) today debuted its PyTorch library *pytorch-pfn-extras*(https://github.com/pfnet/pytorch-pfn-extras) (PPE). This is the companys first open-source library supporting research and development in deep learning using the PyTorch framework. The release follows PFNs December [----] announcement that it was migrating its deep learning research platform to PyTorch from its own open source deep learning framework Chainer. Here is a quick read: Japanese Unicorn Preferred"  
[Reddit Link](https://redd.it/gj1l0y)  2020-05-13T15:49Z 28.2K followers, [--] engagements


"N Japanese Unicorn Preferred Networks Releases First PyTorch Library Japanese artificial intelligence startup Preferred Networks (PFN) today debuted its PyTorch library *pytorch-pfn-extras*(https://github.com/pfnet/pytorch-pfn-extras) (PPE). This is the companys first open-source library supporting research and development in deep learning using the PyTorch framework. The release follows PFNs December [----] announcement that it was migrating its deep learning research platform to PyTorch from its own open source deep learning framework Chainer. Here is a quick read: Japanese Unicorn Preferred"  
[Reddit Link](https://redd.it/gj1ood)  2020-05-13T15:55Z 28.2K followers, [--] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz4rv)  2020-05-21T15:39Z 28.2K followers, [--] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz4vs)  2020-05-21T15:40Z 28.2K followers, [--] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz518)  2020-05-21T15:40Z 28.2K followers, [---] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz56n)  2020-05-21T15:40Z 28.2K followers, [--] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz5b9)  2020-05-21T15:40Z 28.2K followers, [--] engagements


"R Cross-domain Correspondence Learning for Exemplar-based Image Translation We invited Bo Zhang the co-author of the paper *Cross-domain Correspondence Learning for Exemplar-based Image Translation* to share this research. "We present a general framework for exemplar-based image translation which synthesizes a photo-realistic image from the input in a distinct domain (e.g. semantic segmentation mask or edge map or pose keypoints) given an exemplar image. The output has the style (e.g. color texture) in consistency with the semantically corresponding objects in the exemplar. Our method is"  
[Reddit Link](https://redd.it/gnz5ho)  2020-05-21T15:41Z 28.2K followers, [--] engagements


"R Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks(https://syncedreview.com/2020/06/25/reimagining-the-dog-new-deepmind-models-and-tutorial-for-physics-based-rl-tasks/) The paper *Dm_control: Software and Tasks for Continuous Control* is on"  
[Reddit Link](https://redd.it/hfra40)  2020-06-25T18:24Z 28.2K followers, [--] engagements


"R Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks(https://syncedreview.com/2020/06/25/reimagining-the-dog-new-deepmind-models-and-tutorial-for-physics-based-rl-tasks/) The paper *Dm_control: Software and Tasks for Continuous Control* is on"  
[Reddit Link](https://redd.it/hfraah)  2020-06-25T18:25Z 28.2K followers, [--] engagements


"R Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks(https://syncedreview.com/2020/06/25/reimagining-the-dog-new-deepmind-models-and-tutorial-for-physics-based-rl-tasks/) The paper *Dm_control: Software and Tasks for Continuous Control* is on"  
[Reddit Link](https://redd.it/hfrah7)  2020-06-25T18:25Z 28.2K followers, [--] engagements


"R Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks(https://syncedreview.com/2020/06/25/reimagining-the-dog-new-deepmind-models-and-tutorial-for-physics-based-rl-tasks/) The paper *Dm_control: Software and Tasks for Continuous Control* is on"  
[Reddit Link](https://redd.it/hfrapx)  2020-06-25T18:25Z 28.2K followers, [--] engagements


"R Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks DeepMind researchers this week released several new models and a tutorial for their dm_control software stack for physics-based simulation and reinforcement learning (RL) environments using MuJoCo physics. Here is a quick read: Reimagining the Dog: New DeepMind Models and Tutorial for Physics-Based RL Tasks(https://syncedreview.com/2020/06/25/reimagining-the-dog-new-deepmind-models-and-tutorial-for-physics-based-rl-tasks/) The paper *Dm_control: Software and Tasks for Continuous Control* is on"  
[Reddit Link](https://redd.it/hfraxx)  2020-06-25T18:26Z 28.2K followers, [--] engagements


"R Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries A team of researchers from Carnegie Mellon University and Facebook AI recently introduced the tabular data model TaBERT. Built on top of the popular BERT NLP model TaBERT is the **first**(https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/) **model pretrained to learn representations for both natural language sentences and tabular data** and can be plugged into a neural semantic parser as a **general-purpose encoder.** In experiments** TaBERT-powered neural semantic parsers showed"  
[Reddit Link](https://redd.it/hrcmz4)  2020-07-14T23:34Z 28.2K followers, [--] engagements


"R Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries A team of researchers from Carnegie Mellon University and Facebook AI recently introduced the tabular data model TaBERT. Built on top of the popular BERT NLP model TaBERT is the **first**(https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/) **model pretrained to learn representations for both natural language sentences and tabular data** and can be plugged into a neural semantic parser as a **general-purpose encoder.** In experiments** TaBERT-powered neural semantic parsers showed"  
[Reddit Link](https://redd.it/hrcn5v)  2020-07-14T23:34Z 28.2K followers, [--] engagements


"R Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries A team of researchers from Carnegie Mellon University and Facebook AI recently introduced the tabular data model TaBERT. Built on top of the popular BERT NLP model TaBERT is the **first**(https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/) **model pretrained to learn representations for both natural language sentences and tabular data** and can be plugged into a neural semantic parser as a **general-purpose encoder.** In experiments** TaBERT-powered neural semantic parsers showed"  
[Reddit Link](https://redd.it/hrcn97)  2020-07-14T23:34Z 28.2K followers, [--] engagements


"R Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries A team of researchers from Carnegie Mellon University and Facebook AI recently introduced the tabular data model TaBERT. Built on top of the popular BERT NLP model TaBERT is the **first**(https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/) **model pretrained to learn representations for both natural language sentences and tabular data** and can be plugged into a neural semantic parser as a **general-purpose encoder.** In experiments** TaBERT-powered neural semantic parsers showed"  
[Reddit Link](https://redd.it/hrcnd8)  2020-07-14T23:35Z 28.2K followers, [--] engagements


"R Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries A team of researchers from Carnegie Mellon University and Facebook AI recently introduced the tabular data model TaBERT. Built on top of the popular BERT NLP model TaBERT is the **first**(https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/) **model pretrained to learn representations for both natural language sentences and tabular data** and can be plugged into a neural semantic parser as a **general-purpose encoder.** In experiments** TaBERT-powered neural semantic parsers showed"  
[Reddit Link](https://redd.it/hrcngt)  2020-07-14T23:35Z 28.2K followers, [--] engagements


"N Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry Shum This week Microsoft announced it would spin off(https://syncedreview.com/2020/07/13/microsoft-will-divest-xiaoice-as-an-independent-business/) its chatbot business **XiaoIce** with all associated technologies licensed to a newly formed independent company. Microsoft says it will **maintain an investment interest** in the company. Here is a quick read: Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry"  
[Reddit Link](https://redd.it/hsikfi)  2020-07-16T21:14Z [--] followers, [--] engagements


"N Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry Shum This week Microsoft announced it would spin off(https://syncedreview.com/2020/07/13/microsoft-will-divest-xiaoice-as-an-independent-business/) its chatbot business **XiaoIce** with all associated technologies licensed to a newly formed independent company. Microsoft says it will **maintain an investment interest** in the company. Here is a quick read: Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry"  
[Reddit Link](https://redd.it/hsikkd)  2020-07-16T21:15Z [--] followers, [--] engagements


"N Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry Shum This week Microsoft announced it would spin off(https://syncedreview.com/2020/07/13/microsoft-will-divest-xiaoice-as-an-independent-business/) its chatbot business **XiaoIce** with all associated technologies licensed to a newly formed independent company. Microsoft says it will **maintain an investment interest** in the company. Here is a quick read: Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry"  
[Reddit Link](https://redd.it/hsikra)  2020-07-16T21:15Z [--] followers, [--] engagements


"Popular Microsoft Chatbot Xiaoice Gain Independence as a New Company Led by Di Li and Harry Shum technews technews"  
[Reddit Link](https://redd.it/hsil1h)  2020-07-16T21:15Z [--] followers, [--] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcrvx)  2020-07-21T18:24Z 28.2K followers, [---] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcs43)  2020-07-21T18:24Z 28.2K followers, [--] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcs8w)  2020-07-21T18:24Z 28.2K followers, [--] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcsdq)  2020-07-21T18:25Z 28.2K followers, [--] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcsjc)  2020-07-21T18:25Z 28.2K followers, [--] engagements


"R Meet ByteDance AIs Xiaomingbot: Worlds First Multilingual and Multimodal AI News Agent In a bid to develop more versatile and user-friendly intelligent robot reporters researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot a multilingual and multimodal news reporter that is able to: * Create news articles from input data such as scoring stats or box scores * Read these articles with the lifelike animation of a typical TV anchor * Deliver the news in multiple languages to serve global users Here is a quick read: Meet ByteDance AIs Xiaomingbot: Worlds"  
[Reddit Link](https://redd.it/hvcspw)  2020-07-21T18:25Z 28.2K followers, [--] engagements


"R Adobe and Stanford Unveil SOTA Method for Human Pose Estimation In the recent paper *Contact and Human Dynamics from Monocular Video* a research team from Stanford University and Adobe Research proposes a new approach that combines learned pose estimation with physical reasoning through trajectory optimization to extract dynamically valid full-body motions from monocular video. The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods. Here is a quick read: Adobe and Stanford Unveil SOTA Method for Human Pose"  
[Reddit Link](https://redd.it/hyz10v)  2020-07-27T19:28Z 28.2K followers, [---] engagements


"R Google Proposes Lasso Algorithm Variant for Learning Convolutions: Bridging the Gap Between Fully-Connected and Convolutional Nets While researchers have focused on learning convolution-like structures from scratch to move forward in this regard they face a dilemma due to a limited understanding of the inductive bias that gives rise to convolutions. How to reduce inductive bias while making sure this wont hurt model efficiency Is it possible to keep only the core bias to deliver high performance Google Senior Research Scientist Behnam Neyshabur recently offered his insights on the topic in"  
[Reddit Link](https://redd.it/i07cys)  2020-07-29T19:51Z 28.2K followers, [--] engagements


"R Google Proposes Lasso Algorithm Variant for Learning Convolutions: Bridging the Gap Between Fully-Connected and Convolutional Nets While researchers have focused on learning convolution-like structures from scratch to move forward in this regard they face a dilemma due to a limited understanding of the inductive bias that gives rise to convolutions. How to reduce inductive bias while making sure this wont hurt model efficiency Is it possible to keep only the core bias to deliver high performance Google Senior Research Scientist Behnam Neyshabur recently offered his insights on the topic in"  
[Reddit Link](https://redd.it/i07d5a)  2020-07-29T19:51Z 28.2K followers, [--] engagements


"R Google Proposes Lasso Algorithm Variant for Learning Convolutions: Bridging the Gap Between Fully-Connected and Convolutional Nets While researchers have focused on learning convolution-like structures from scratch to move forward in this regard they face a dilemma due to a limited understanding of the inductive bias that gives rise to convolutions. How to reduce inductive bias while making sure this wont hurt model efficiency Is it possible to keep only the core bias to deliver high performance Google Senior Research Scientist Behnam Neyshabur recently offered his insights on the topic in"  
[Reddit Link](https://redd.it/i07dai)  2020-07-29T19:51Z 28.2K followers, [--] engagements


"R Google Proposes Lasso Algorithm Variant for Learning Convolutions: Bridging the Gap Between Fully-Connected and Convolutional Nets While researchers have focused on learning convolution-like structures from scratch to move forward in this regard they face a dilemma due to a limited understanding of the inductive bias that gives rise to convolutions. How to reduce inductive bias while making sure this wont hurt model efficiency Is it possible to keep only the core bias to deliver high performance Google Senior Research Scientist Behnam Neyshabur recently offered his insights on the topic in"  
[Reddit Link](https://redd.it/i07diq)  2020-07-29T19:51Z 28.2K followers, [--] engagements


"R Google Proposes Lasso Algorithm Variant for Learning Convolutions: Bridging the Gap Between Fully-Connected and Convolutional Nets While researchers have focused on learning convolution-like structures from scratch to move forward in this regard they face a dilemma due to a limited understanding of the inductive bias that gives rise to convolutions. How to reduce inductive bias while making sure this wont hurt model efficiency Is it possible to keep only the core bias to deliver high performance Google Senior Research Scientist Behnam Neyshabur recently offered his insights on the topic in"  
[Reddit Link](https://redd.it/i07dol)  2020-07-29T19:52Z 28.2K followers, [--] engagements


"R DeepMind Uses GNNs to Boost Google Maps ETA Accuracy by up to 50% Launched [--] years ago Google Maps is the worlds most popular navigation app by a wide margin according to German online portal Statista(https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/). In a Google Cloud blog post(https://cloud.google.com/blog/products/maps-platform/9-things-know-about-googles-maps-data-beyond-map) published last September Google Maps Director of Product Ethan Russell said more than a billion people use Google Maps every month and some five million active apps and"  
[Reddit Link](https://redd.it/impv35)  2020-09-04T22:34Z 28.2K followers, [--] engagements


"R DeepMind Uses GNNs to Boost Google Maps ETA Accuracy by up to 50% Launched [--] years ago Google Maps is the worlds most popular navigation app by a wide margin according to German online portal Statista(https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/). In a Google Cloud blog post(https://cloud.google.com/blog/products/maps-platform/9-things-know-about-googles-maps-data-beyond-map) published last September Google Maps Director of Product Ethan Russell said more than a billion people use Google Maps every month and some five million active apps and"  
[Reddit Link](https://redd.it/impve4)  2020-09-04T22:34Z 28.2K followers, [--] engagements


"R DeepMind Uses GNNs to Boost Google Maps ETA Accuracy by up to 50% Launched [--] years ago Google Maps is the worlds most popular navigation app by a wide margin according to German online portal Statista(https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/). In a Google Cloud blog post(https://cloud.google.com/blog/products/maps-platform/9-things-know-about-googles-maps-data-beyond-map) published last September Google Maps Director of Product Ethan Russell said more than a billion people use Google Maps every month and some five million active apps and"  
[Reddit Link](https://redd.it/impviy)  2020-09-04T22:34Z 28.2K followers, [--] engagements


"R DeepMind Uses GNNs to Boost Google Maps ETA Accuracy by up to 50% Launched [--] years ago Google Maps is the worlds most popular navigation app by a wide margin according to German online portal Statista(https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/). In a Google Cloud blog post(https://cloud.google.com/blog/products/maps-platform/9-things-know-about-googles-maps-data-beyond-map) published last September Google Maps Director of Product Ethan Russell said more than a billion people use Google Maps every month and some five million active apps and"  
[Reddit Link](https://redd.it/impvog)  2020-09-04T22:35Z 28.2K followers, [----] engagements


"R Human Feedback Improves OpenAI Model Summarizations In a new paper a team of OpenAI researchers sets out to advance methods for training large-scale language models such as BERT on objectives that more closely capture human preferences and does so by putting humans back into the loop. The work focuses on abstractive English text summarization a subjective task thats considered challenging because the notion of what makes a good summary is difficult to capture without human input. Here is a quick read: Human Feedback Improves OpenAI Model"  
[Reddit Link](https://redd.it/ite88h)  2020-09-15T18:12Z [--] followers, [--] engagements


"R Human Feedback Improves OpenAI Model Summarizations In a new paper a team of OpenAI researchers sets out to advance methods for training large-scale language models such as BERT on objectives that more closely capture human preferences and does so by putting humans back into the loop. The work focuses on abstractive English text summarization a subjective task thats considered challenging because the notion of what makes a good summary is difficult to capture without human input. Here is a quick read: Human Feedback Improves OpenAI Model"  
[Reddit Link](https://redd.it/ite8to)  2020-09-15T18:12Z [--] followers, [--] engagements


"R NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19 Patient Oxygen Need Using [--] Days of Data From [--] Hospitals To develop a robust AI model for predicting patient oxygen need and levels that would generalize to as many hospitals as possible tech giant NVIDIA joined forces with non-profit hospital and physicians network Massachusetts General Brigham and **20 hospitals around the world** in the federated learning-based initiative EXAM (EMR CXR AI Model). Here is a quick read: NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19"  
[Reddit Link](https://redd.it/j6wsie)  2020-10-07T18:49Z 28.2K followers, [--] engagements


"R NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19 Patient Oxygen Need Using [--] Days of Data From [--] Hospitals To develop a robust AI model for predicting patient oxygen need and levels that would generalize to as many hospitals as possible tech giant NVIDIA joined forces with non-profit hospital and physicians network Massachusetts General Brigham and **20 hospitals around the world** in the federated learning-based initiative EXAM (EMR CXR AI Model). Here is a quick read: NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19"  
[Reddit Link](https://redd.it/j6wsra)  2020-10-07T18:50Z 28.2K followers, [--] engagements


"R NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19 Patient Oxygen Need Using [--] Days of Data From [--] Hospitals To develop a robust AI model for predicting patient oxygen need and levels that would generalize to as many hospitals as possible tech giant NVIDIA joined forces with non-profit hospital and physicians network Massachusetts General Brigham and **20 hospitals around the world** in the federated learning-based initiative EXAM (EMR CXR AI Model). Here is a quick read: NVIDIA & Mass General Brigham Hospital Federated Learning Project Predicts COVID-19"  
[Reddit Link](https://redd.it/j6wsx5)  2020-10-07T18:50Z 28.2K followers, [--] engagements


"Quick Roundup: Apple Hi Speed Event: 5G A14 Bionic Chip and LiDAR for New iPhones Joining the [----] iPad Air unveiled last month Apple announced today that its new iPhone series will use the companys newest A14 Bionic chipset. Speaking at the companys Hi Speed event Apple CEO Tim Cook also announced that 5G is coming to the new iPhones. 5G will bring a new level of performance for downloads and uploads higher quality video streaming more responsive gaming real-time interactivity and so much more Cook said. You can get higher network speeds even in densely populated areas. Cook says Apple will"  
[Reddit Link](https://redd.it/jamu7r)  2020-10-13T21:24Z 28.2K followers, [--] engagements


"R Facebook & CMU Open Catalyst Project Applies AI to Renewable Energy Storage Facebook AI and the Carnegie Mellon University (CMU) Department of Chemical Engineering yesterday announced the Open Catalyst Project. The venture aims to use AI to accelerate the discovery of new electrocatalysts for more efficient and scalable storage and usage of renewable energy. Here is a quick read: Facebook & CMU Open Catalyst Project Applies AI to Renewable Energy Storage(https://syncedreview.com/2020/10/15/facebook-cmu-open-catalyst-project-applies-ai-to-renewable-energy-storage/) The Open Catalyst"  
[Reddit Link](https://redd.it/jbz5s4)  2020-10-15T23:54Z 28.2K followers, [--] engagements


"R McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation Disambiguation In an EMNLP [----] Clinical NLP workshop last week a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain. Here is a quick read: McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation"  
[Reddit Link](https://redd.it/jznt0k)  2020-11-23T18:53Z 28.2K followers, [--] engagements


"R McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation Disambiguation In an EMNLP [----] Clinical NLP workshop last week a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain. Here is a quick read: McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation"  
[Reddit Link](https://redd.it/jznt7l)  2020-11-23T18:53Z 28.2K followers, [--] engagements


"R McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation Disambiguation In an EMNLP [----] Clinical NLP workshop last week a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain. Here is a quick read: McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation"  
[Reddit Link](https://redd.it/jznta8)  2020-11-23T18:53Z 28.2K followers, [--] engagements


"R McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation Disambiguation In an EMNLP [----] Clinical NLP workshop last week a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain. Here is a quick read: McGill University Facebook & Mila Release 14M Article NLP Pretraining Dataset for Medical Abbreviation"  
[Reddit Link](https://redd.it/jznteh)  2020-11-23T18:53Z 28.2K followers, [--] engagements


"R Can Autonomous Vehicles Self-Learn the Rules of the Road What if instead of hard-coding road rules into self-driving algorithms AI agents were free to come up with their own ways of safely and efficiently sharing the road Thats the premise of an international research teams new paper which looks at what happens when AI agents in driving environments are simply tasked with getting to destinations as quickly as possible without crashing into one another. Here is a quick read: Can Autonomous Vehicles Self-Learn the Rules of the"  
[Reddit Link](https://redd.it/k65b7w)  2020-12-03T20:19Z 28.2K followers, [--] engagements


"R Can Autonomous Vehicles Self-Learn the Rules of the Road What if instead of hard-coding road rules into self-driving algorithms AI agents were free to come up with their own ways of safely and efficiently sharing the road Thats the premise of an international research teams new paper which looks at what happens when AI agents in driving environments are simply tasked with getting to destinations as quickly as possible without crashing into one another. Here is a quick read: Can Autonomous Vehicles Self-Learn the Rules of the"  
[Reddit Link](https://redd.it/k65bce)  2020-12-03T20:20Z 28.2K followers, [---] engagements


"R Can Autonomous Vehicles Self-Learn the Rules of the Road What if instead of hard-coding road rules into self-driving algorithms AI agents were free to come up with their own ways of safely and efficiently sharing the road Thats the premise of an international research teams new paper which looks at what happens when AI agents in driving environments are simply tasked with getting to destinations as quickly as possible without crashing into one another. Here is a quick read: Can Autonomous Vehicles Self-Learn the Rules of the"  
[Reddit Link](https://redd.it/k65bgd)  2020-12-03T20:20Z 28.2K followers, [--] engagements


"R Can Autonomous Vehicles Self-Learn the Rules of the Road What if instead of hard-coding road rules into self-driving algorithms AI agents were free to come up with their own ways of safely and efficiently sharing the road Thats the premise of an international research teams new paper which looks at what happens when AI agents in driving environments are simply tasked with getting to destinations as quickly as possible without crashing into one another. Here is a quick read: Can Autonomous Vehicles Self-Learn the Rules of the"  
[Reddit Link](https://redd.it/k65bk1)  2020-12-03T20:20Z 28.2K followers, [--] engagements


"N NeurIPS [----] Machine Learning Vs Climate Change Last Friday NeurIPS [----] partnered with Climate Change AI (CCAI) an organization of researchers engineers entrepreneurs investors policymakers companies and NGOs aiming to catalyze impactful work at the intersection of climate change and machine learning to host the Tackling Climate Change with ML Workshop which explored how the ML community could collaborate with other fields and practitioners in this fight. Here is a quick read: NeurIPS [----] Machine Learning Vs Climate"  
[Reddit Link](https://redd.it/kd6zio)  2020-12-14T21:27Z [--] followers, [--] engagements


"N NeurIPS [----] Machine Learning Vs Climate Change Last Friday NeurIPS [----] partnered with Climate Change AI (CCAI) an organization of researchers engineers entrepreneurs investors policymakers companies and NGOs aiming to catalyze impactful work at the intersection of climate change and machine learning to host the Tackling Climate Change with ML Workshop which explored how the ML community could collaborate with other fields and practitioners in this fight. Here is a quick read: NeurIPS [----] Machine Learning Vs Climate"  
[Reddit Link](https://redd.it/kd6zoh)  2020-12-14T21:27Z [--] followers, [--] engagements


"N NeurIPS [----] Machine Learning Vs Climate Change Last Friday NeurIPS [----] partnered with Climate Change AI (CCAI) an organization of researchers engineers entrepreneurs investors policymakers companies and NGOs aiming to catalyze impactful work at the intersection of climate change and machine learning to host the Tackling Climate Change with ML Workshop which explored how the ML community could collaborate with other fields and practitioners in this fight. Here is a quick read: NeurIPS [----] Machine Learning Vs Climate"  
[Reddit Link](https://redd.it/kd6zyf)  2020-12-14T21:28Z [--] followers, [--] engagements


"R Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera Views In a new paper a group of researchers from Zhejiang University The Chinese University of Hong Kong and Cornell University propose an implicit neural representation method called Neural Body. The novel approach tackles dynamic 3D human-body synthesis from a sparse set of camera views bettering existing methods on key metrics by significant margins. Here is a quick read: Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera"  
[Reddit Link](https://redd.it/kr6hh1)  2021-01-05T20:05Z 28.2K followers, [--] engagements


"R Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera Views In a new paper a group of researchers from Zhejiang University The Chinese University of Hong Kong and Cornell University propose an implicit neural representation method called Neural Body. The novel approach tackles dynamic 3D human-body synthesis from a sparse set of camera views bettering existing methods on key metrics by significant margins. Here is a quick read: Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera"  
[Reddit Link](https://redd.it/kr6ijt)  2021-01-05T20:06Z 28.2K followers, [--] engagements


"R Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera Views In a new paper a group of researchers from Zhejiang University The Chinese University of Hong Kong and Cornell University propose an implicit neural representation method called Neural Body. The novel approach tackles dynamic 3D human-body synthesis from a sparse set of camera views bettering existing methods on key metrics by significant margins. Here is a quick read: Neural Body Reconstructs Dynamic Human Bodies From Sparse Camera"  
[Reddit Link](https://redd.it/kr6ith)  2021-01-05T20:07Z 28.2K followers, [--] engagements


"R Neural Pharmacodynamic State Space Modeling MIT & Microsoft Research New Paper: https://arxiv.org/abs/2102.11218(https://arxiv.org/abs/2102.11218) **Abstract:** *Modeling the time-series of high-dimensional longitudinal data is important for predicting patient disease progression. However existing neural network based approaches that learn representations of patient state while very flexible are susceptible to overfitting. We propose a deep generative model that makes use of a novel attention-based neural architecture inspired by the physics of how treatments affect disease state. The"  
[Reddit Link](https://redd.it/lrzw7e)  2021-02-25T06:16Z 28.2K followers, [--] engagements


"N Better Than Capsules Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image. Here is a quick read: Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks(https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/) The paper *How to"  
[Reddit Link](https://redd.it/lteu32)  2021-02-27T03:09Z 28.2K followers, [--] engagements


"N Better Than Capsules Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image. Here is a quick read: Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks(https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/) The paper *How to"  
[Reddit Link](https://redd.it/ltevxj)  2021-02-27T03:12Z 28.2K followers, [--] engagements


"N Better Than Capsules Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image. Here is a quick read: Geoffrey Hinton's GLOM Idea Represents Part-Whole Hierarchies in Neural Networks(https://syncedreview.com/2021/02/26/better-than-capsules-geoffrey-hintons-glom-idea-represents-part-whole-hierarchies-in-neural-networks/) The paper *How to"  
[Reddit Link](https://redd.it/ltewid)  2021-02-27T03:12Z 28.2K followers, [--] engagements


"R Yoshua Bengio Team Leverages DL to Rejuvenate Symbolic AI: Neural Production Systems Reveal Latent Rules in Rich Visual Environments A team from Mila University of Montreal DeepMind Waverly and Google Brain proposes Neural Production Systems which serve to factorize entity-specific and rule-based information in rich visual environments. Here is a quick read: Yoshua Bengio Team Leverages DL to Rejuvenate Symbolic AI: Neural Production Systems Reveal Latent Rules in Rich Visual"  
[Reddit Link](https://redd.it/lyewov)  2021-03-05T15:57Z 28.2K followers, [--] engagements


"N Hugging Face Quantifies the Benefits of Prompts for Pretrained Language Models A research team from Hugging Face shows that prompting is indeed beneficial for fine-tuning pretrained language models and that this benefit can be quantified as worth hundreds of data points on average across classification tasks. Here is a quick read: Increasing Data Efficiency: Hugging Face Quantifies the Benefits of Prompts for Pretrained Language Models(https://syncedreview.com/2021/03/18/increasing-data-efficiency-hugging-face-quantifies-the-benefits-of-prompts-for-pretrained-language-models/) The paper"  
[Reddit Link](https://redd.it/m7vu2a)  2021-03-18T17:19Z 28.2K followers, [--] engagements


"R Yoshua Bengio Teams Recurrent Independent Mechanisms Endow RL Agents With Out-of-Distribution Adaptation and Generalization Abilities A research team from the University of Montreal and Max Planck Institute for Intelligent Systems constructs a reinforcement learning agent whose knowledge and reward function can be reused across tasks along with an attention mechanism that dynamically selects unchangeable knowledge pieces to enable out-of-distribution adaptation and generalization. Here is a quick read: Yoshua Bengio Teams Recurrent Independent Mechanisms Endow RL Agents With"  
[Reddit Link](https://redd.it/nkseg2)  2021-05-25T15:27Z 28.2K followers, [--] engagements


"R Yoshua Bengio Team Designs Consciousness-Inspired Planning Agent for Model-Based RL A research team from McGill University Universit de Montral DeepMind and Mila presents an end-to-end model-based deep reinforcement learning (RL) agent that dynamically attends to relevant parts of its environments to facilitate out-of-distribution (OOD) and systematic generalization. Here is a quick read: Yoshua Bengio Team Designs Consciousness-Inspired Planning Agent for Model-Based"  
[Reddit Link](https://redd.it/nxilk2)  2021-06-11T15:25Z 28.2K followers, [--] engagements


"R Video Swin Transformer Improves Speed-Accuracy Trade-offs Achieves SOTA Results on Video Recognition Benchmarks A research team from Microsoft Research Asia University of Science and Technology of China Huazhong University of Science and Technology and Tsinghua University takes advantage of the inherent spatiotemporal locality of videos to present a pure-transformer backbone architecture for video recognition that leads to a better speed-accuracy trade-off. Here is a quick read: Video Swin Transformer Improves Speed-Accuracy Trade-offs Achieves SOTA Results on Video Recognition"  
[Reddit Link](https://redd.it/obp9ri)  2021-07-01T16:20Z 28.2K followers, [--] engagements


"R Only Train Once: SOTA One-Shot DNN Training and Pruning Framework A research team from Microsoft Zhejiang University Johns Hopkins University Georgia Institute of Technology and University of Denver proposes Only-Train-Once (OTO) a one-shot DNN training and pruning framework that produces a slim architecture from a full heavy model without fine-tuning while maintaining high performance. Here is a quick read: Only Train Once: SOTA One-Shot DNN Training and Pruning"  
[Reddit Link](https://redd.it/opfuuh)  2021-07-22T15:15Z [--] followers, [--] engagements


"R Only Train Once: SOTA One-Shot DNN Training and Pruning Framework A research team from Microsoft Zhejiang University Johns Hopkins University Georgia Institute of Technology and University of Denver proposes Only-Train-Once (OTO) a one-shot DNN training and pruning framework that produces a slim architecture from a full heavy model without fine-tuning while maintaining high performance. Here is a quick read: Only Train Once: SOTA One-Shot DNN Training and Pruning"  
[Reddit Link](https://redd.it/opfuwk)  2021-07-22T15:15Z 28.2K followers, [--] engagements


"R Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing A research team from Google Brain Columbia University and University of Oxford proposes Graph Kernel Attention Transformers (GKATs) a new class of graph neural network that achieves greater expressive power than SOTA GNNs while reducing computation burdens. Here is a quick read: Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing.(https://syncedreview.com/2021/07/23/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-68/) The paper *Graph"  
[Reddit Link](https://redd.it/oq42ll)  2021-07-23T14:55Z [--] followers, [--] engagements


"R Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing A research team from Google Brain Columbia University and University of Oxford proposes Graph Kernel Attention Transformers (GKATs) a new class of graph neural network that achieves greater expressive power than SOTA GNNs while reducing computation burdens. Here is a quick read: Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing.(https://syncedreview.com/2021/07/23/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-68/) The paper *Graph"  
[Reddit Link](https://redd.it/oq42nz)  2021-07-23T14:55Z 28.2K followers, [--] engagements


"R Melbourne U Facebook & Twitter Expose Novel Numerical Errors in NMT Systems A research team from the University of Melbourne Facebook AI and Twitter Cortex proposes a black-box test method for assessing and debugging the numerical translation of neural machine translation systems in a systematic manner. The approach reveals novel types of errors that are general across multiple state-of-the-art translation systems. Here is a quick read: Melbourne U Facebook & Twitter Expose Novel Numerical Errors in NMT"  
[Reddit Link](https://redd.it/osn4ed)  2021-07-27T13:45Z 28.2K followers, [--] engagements


"R DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs & Outputs A DeepMind research team proposes Perceiver IO a single network that can easily integrate and transform arbitrary information for arbitrary tasks while scaling linearly with both input and output sizes. The general architecture achieves outstanding results on tasks with highly structured output spaces such as natural language and visual understanding. Here is a quick read: DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs &"  
[Reddit Link](https://redd.it/p12pkt)  2021-08-09T14:36Z 28.2K followers, [--] engagements


"R DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs & Outputs A DeepMind research team proposes Perceiver IO a single network that can easily integrate and transform arbitrary information for arbitrary tasks while scaling linearly with both input and output sizes. The general architecture achieves outstanding results on tasks with highly structured output spaces such as natural language and visual understanding. Here is a quick read: DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs &"  
[Reddit Link](https://redd.it/p12pm3)  2021-08-09T14:37Z 28.2K followers, [--] engagements


"R DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs & Outputs A DeepMind research team proposes Perceiver IO a single network that can easily integrate and transform arbitrary information for arbitrary tasks while scaling linearly with both input and output sizes. The general architecture achieves outstanding results on tasks with highly structured output spaces such as natural language and visual understanding. Here is a quick read: DeepMind's Perceiver IO: A General Architecture for a Wide Variety of Inputs &"  
[Reddit Link](https://redd.it/p12poe)  2021-08-09T14:37Z 28.2K followers, [--] engagements


"R Mention Memory: Incorporating Factual Knowledge From Various Sources Into Transformers Without Supervision A research team from the University of Southern California and Google proposes TOME a "mention memory" approach to factual knowledge extraction for NLU tasks. A transformer model with attention over a semi-parametric representation of the entire Wikipedia text corpus TOME can extract information without supervision and achieves strong performance on multiple open-domain question answering benchmarks. Here is a quick read: Mention Memory: Incorporating Factual Knowledge From Various"  
[Reddit Link](https://redd.it/qanxdc)  2021-10-18T14:35Z 28.2K followers, [--] engagements


"R Mention Memory: Incorporating Factual Knowledge From Various Sources Into Transformers Without Supervision A research team from the University of Southern California and Google proposes TOME a "mention memory" approach to factual knowledge extraction for NLU tasks. A transformer model with attention over a semi-parametric representation of the entire Wikipedia text corpus TOME can extract information without supervision and achieves strong performance on multiple open-domain question answering benchmarks. Here is a quick read: Mention Memory: Incorporating Factual Knowledge From Various"  
[Reddit Link](https://redd.it/qanxfd)  2021-10-18T14:35Z 28.2K followers, [--] engagements


"R Intels Prune Once for All Compression Method Achieves SOTA Compression-to-Accuracy Results on BERT An Intel research team presents Prune Once for All (Prune OFA) a training method that leverages weight pruning and model distillation to produce pretrained transformer-based language models with high sparsity ratios. Applied to BERT the approach achieves state-of-the-art results in compression-to-accuracy ratio. Here is a quick read: Intels Prune Once for All Compression Method Achieves SOTA Compression-to-Accuracy Results on"  
[Reddit Link](https://redd.it/qwsmt3)  2021-11-18T15:49Z 28.2K followers, [--] engagements


"R Kwai Kuaishou & ETH Zrich Propose PERSIA a Distributed Training System That Supports Deep Learning-Based Recommenders of up to [---] Trillion Parameters A research team from Kwai Inc. Kuaishou Technology and ETH Zrich builds PERSIA an efficient distributed training system that leverages a novel hybrid training algorithm to ensure both training efficiency and accuracy for extremely large deep learning recommender systems of up to [---] trillion parameters. Here is a quick read: Kwai Kuaishou & ETH Zrich Propose PERSIA a Distributed Training System That Supports Deep Learning-Based Recommenders"  
[Reddit Link](https://redd.it/r2qcer)  2021-11-26T15:51Z 28.2K followers, [---] engagements


"R Kwai Kuaishou & ETH Zrich Propose PERSIA a Distributed Training System That Supports Deep Learning-Based Recommenders of up to [---] Trillion Parameters A research team from Kwai Inc. Kuaishou Technology and ETH Zrich builds PERSIA an efficient distributed training system that leverages a novel hybrid training algorithm to ensure both training efficiency and accuracy for extremely large deep learning recommender systems of up to [---] trillion parameters. Here is a quick read: Kwai Kuaishou & ETH Zrich Propose PERSIA a Distributed Training System That Supports Deep Learning-Based Recommenders"  
[Reddit Link](https://redd.it/r2qckj)  2021-11-26T15:51Z 28.2K followers, [--] engagements


"R Warsaw U Google & OpenAIs Terraformer Achieves a 37x Speedup Over Dense Baselines on 17B Transformer Decoding In the new paper Sparse is Enough in Scaling Transformers a research team from the University of Warsaw Google Research and OpenAI proposes Scaling Transformers a family of novel transformers that leverage sparse layers to scale efficiently and perform unbatched decoding much faster than original transformers enabling fast inference on long sequences even with limited memory. Here is a quick read: Warsaw U Google & OpenAIs Terraformer Achieves a 37x Speedup Over Dense Baselines on"  
[Reddit Link](https://redd.it/r81wq9)  2021-12-03T15:41Z 28.2K followers, [--] engagements


"R Warsaw U Google & OpenAIs Terraformer Achieves a 37x Speedup Over Dense Baselines on 17B Transformer Decoding In the new paper Sparse is Enough in Scaling Transformers a research team from the University of Warsaw Google Research and OpenAI proposes Scaling Transformers a family of novel transformers that leverage sparse layers to scale efficiently and perform unbatched decoding much faster than original transformers enabling fast inference on long sequences even with limited memory. Here is a quick read: Warsaw U Google & OpenAIs Terraformer Achieves a 37x Speedup Over Dense Baselines on"  
[Reddit Link](https://redd.it/r81wta)  2021-12-03T15:42Z 28.2K followers, [--] engagements


"R DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers A DeepMind research team presents AlphaCode an automated code-generation system that can create novel solutions for programming problems that require deep reasoning and achieves a top 54.3% ranking in programming competitions. Here is a quick read: DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers.(https://syncedreview.com/2022/02/04/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-200/) DeepMind has released its CodeContests dataset of"  
[Reddit Link](https://redd.it/skhhjs)  2022-02-04T16:25Z 28.2K followers, [--] engagements


"R DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers A DeepMind research team presents AlphaCode an automated code-generation system that can create novel solutions for programming problems that require deep reasoning and achieves a top 54.3% ranking in programming competitions. Here is a quick read: DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers.(https://syncedreview.com/2022/02/04/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-200/) DeepMind has released its CodeContests dataset of"  
[Reddit Link](https://redd.it/skhhnj)  2022-02-04T16:25Z [--] followers, [--] engagements


"R DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers A DeepMind research team presents AlphaCode an automated code-generation system that can create novel solutions for programming problems that require deep reasoning and achieves a top 54.3% ranking in programming competitions. Here is a quick read: DeepMinds AlphaCode Generates Code at a Level Competitive With Human Programmers.(https://syncedreview.com/2022/02/04/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-200/) DeepMind has released its CodeContests dataset of"  
[Reddit Link](https://redd.it/skhhp2)  2022-02-04T16:25Z [--] followers, [--] engagements

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