Variational Inference: A Review for Statisticians, David M. Blei, Alp Kucukelbir, Jon D. McAuliffe
- Challenges in Data-to-Document Generation, Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
- Transitive Invariance for Self-supervised Visual Representation Learning, Xiaolong Wang, Kaiming He, Abhinav Gupta
- An overview of gradient descent optimization algorithms, Sebastian Ruder
- Engineering Efficient and Effective Non-Metric Space Library, Leonid Boytsov and Bilegsaikhan Naidan