When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
954 results for Trustworthy AI
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- Joel Dapello
- Jenelle Feather
- et al.
- 2021
- NeurIPS 2021
Conference paperContrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
- Aadarsh Sahoo
- Rutav Shah
- et al.
- 2021
- NeurIPS 2021
Conference paperFormalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021
Conference paperUnderstanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021
Conference paperDrawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
- Yonggan Fu
- Qixuan Yu
- et al.
- 2021
- NeurIPS 2021
Conference paperS3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
- Chulin Wang
- Kyongmin Yeo
- et al.
- 2021
- NeurIPS 2021
Workshop paperExpose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
- Claudio Santos Pinhanez
- 2021
- NeurIPS 2021
Workshop paperAutomated Supervised Feature Selection for Differentiated Patterns of Care
- Catherine Wanjiru
- William Ogallo
- et al.
- 2021
- NeurIPS 2021
Workshop paperRobust Text Perturbation using Sequence-to-Sequence Pre-Training
- 2021
- NeurIPS 2021
Workshop paper