AI Technology & Industry Review
This year, 22 Transformer-related research papers were accepted by NeurIPS, the world’s most prestigious machine learning conference. Synced has selected ten of these works to showcase the latest Transformer trends.
Organizers of NeurIPS 2020 (Conference on Neural Information Processing Systems) see machine learning as an invaluable tool in the fight against climate change.
OpenAI’s groundbreaking GPT-3 language model paper, a no-regret learning dynamics study from Politecnico di Milano & Carnegie Mellon University, and a UC Berkeley work on data summarization have been named the NeurIPS 2020 Best Paper Award winners.
Max Planck Institute, University of Cambridge and Saarland University initiate two probabilistic approaches designed to achieve algorithmic recourse in practice
NeurIPS 2020 Institute of Automation CAS and Microsoft Research Asia paper presents an attention-based decoder that integrates CV object representations
NeurIPS 2020 released its list of accepted papers this week with Google, Stanford, and MIT as the top affiliations.
The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase.
Today, organizers of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) announced extending the paper submission deadline by 48 hours.