Safe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021
Publications
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Private learning implies quantum stability
- Srinivasan Arunachalam
- Yihui Quek
- et al.
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
- Mingyu Ding
- Zhenfang Chen
- et al.
- 2021
- NeurIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Learning with Algorithmic Supervision via Continuous Relaxations
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- NeurIPS 2021