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
Ensembling Graph Predictions for AMR Parsing
- Thanh Lam Hoang
- Gabriele Picco
- et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- 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
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
- Reuben Tan
- Bryan Plummer
- et al.
- 2021
- NeurIPS 2021
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
- Chuang Gan
- Jeremy Schwartz
- et al.
- 2021
- NeurIPS 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
- Cheng-I Jeff Lai
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
- Rong Zhu
- Mattia Rigotti
- 2021
- NeurIPS 2021