Publications

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