Publications

Catastrophic Data Leakage in Vertical Federated Learning
- - Xiao Jin
  - Pin-Yu Chen
  - et al.
- 2021
- NeurIPS 2021
Conference paper
STAR: A Benchmark for Situated Reasoning in Real-World Videos
- - Bo Wu
  - Shoubin Yu
  - et al.
- 2021
- NeurIPS 2021
Conference paper
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