-
Our NeurIPS 2021 Reading List
Computer Vision; Data Visualization; Graph Representation Learning; Learning And Generalization; Natural Language Processing; Optimization; Reinforcement Learning; Time series Modelling; Unsupervised Learning
Blog
-
Notes on NIPS 2017
Learning And Generalization; Natural Language Processing
Blog
-
The Pommerman team competition or: How we learned to stop worrying and love the battle
Learning And Generalization
Blog
-
Our NeurIPS 2018 papers
Learning And Generalization; Reinforcement Learning; Responsible AI
Blog
-
Dimensionality reduction finally has quantifiable imperfections
Learning And Generalization; Unsupervised Learning
Blog
-
Tutorial #3: few-shot learning and meta-learning II
Learning And Generalization
Blog
-
Tutorial #2: few-shot learning and meta-learning I
Learning And Generalization
Blog
-
On building energy efficient networks
Learning And Generalization
Blog
-
Our key takeaways from ICML 2017
Learning And Generalization
Blog
-
Adversarial contrastive estimation: harder, better, faster, stronger
Learning And Generalization
Blog
-
Tutorial #14: Transformers I: Introduction
Learning And Generalization; Natural Language Processing
Blog
-
Why is Cross-Domain Text-to-SQL Hard
Learning And Generalization
Blog