NeurIPS is a major venue covering a wide range of ML & AI topics. Of course, there is something interesting for Graph ML aficionados and knowledge graph connoisseurs 🧐. Tune in to find out! This year, NeurIPS had 1900 accepted papers 😳 and 100+ among them are on graphs. Plus take into account several prominent workshops like KR2ML, DiffGeo4ML, and LMCA. Be sure to check … [Read more...] about Machine Learning on Knowledge Graphs at NeurIPS 2020
Research
The Curious Case of Developmental BERTology
This essay is written for machine learning researchers and neuroscientists (some jargons in both fields will be used). Though it is not intended to be a comprehensive review of literature, we will take a tour through a selection of classic work and new results from a range of topics, in an attempt to develop the following thesis: Just like the fruitful interaction between … [Read more...] about The Curious Case of Developmental BERTology
NeurIPS 2020: Key Research Papers in Natural Language Processing (NLP) & Conversational AI
NeurIPS is the largest machine learning conference held every December. It brings together researchers in computational neuroscience, reinforcement learning, deep learning, and their applications such as computer vision, fairness and transparency, natural language processing, robotics, and more. Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most … [Read more...] about NeurIPS 2020: Key Research Papers in Natural Language Processing (NLP) & Conversational AI
NeurIPS 2020: Key Research Papers in Computer Vision
Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about NeurIPS 2020: Key Research Papers in Computer Vision
How AI Researchers Are Tackling COVID-19
Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about How AI Researchers Are Tackling COVID-19
NeurIPS 2020: Key Research Papers in Reinforcement Learning and More
Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about NeurIPS 2020: Key Research Papers in Reinforcement Learning and More
TOPBOTS Guide to NeurIPS 2020
This year’s Annual Conference on Neural Information Processing (NeurIPS 2020) is held 100% virtually from December 6th to 12th, 2020. Historically NeurIPS sells out quickly and can be a challenge to register for. But, this year’s virtual format welcomes everyone with an affordable ticket price of $100. 2020 is our third year of TOPBOTS covering the conference. To … [Read more...] about TOPBOTS Guide to NeurIPS 2020
2020’s Top AI & Machine Learning Research Papers
Despite the challenges of 2020, the AI research community produced a number of meaningful technical breakthroughs. GPT-3 by OpenAI may be the most famous, but there are definitely many other research papers worth your attention. For example, teams from Google introduced a revolutionary chatbot, Meena, and EfficientDet object detectors in image recognition. Researchers … [Read more...] about 2020’s Top AI & Machine Learning Research Papers
GPT-3 & Beyond: 10 NLP Research Papers You Should Read
NLP research advances in 2020 are still dominated by large pre-trained language models, and specifically transformers. There were many interesting updates introduced this year that have made transformer architecture more efficient and applicable to long documents. Another hot topic relates to the evaluation of NLP models in different applications. We still lack evaluation … [Read more...] about GPT-3 & Beyond: 10 NLP Research Papers You Should Read
Novel Computer Vision Research Papers From 2020
Will transformers revolutionize computer vision like they did with natural language processing? That’s one of the major research questions investigated by computer vision scientists in 2020. The first results indicate that transformers achieve very promising results on image recognition tasks. Beyond transformers in vision applications, we also noticed a continuous … [Read more...] about Novel Computer Vision Research Papers From 2020