When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Publications
Efficient Generalization with Distributionally Robust Learning
- Soumyadip Ghosh
- Mark Squillante
- et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
- Reuben Tan
- Bryan Plummer
- et al.
- 2021
- NeurIPS 2021
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2021
- NeurIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021