When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Publications
860 results for Trustworthy AI
Robust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Robust Text Perturbation using Sequence-to-Sequence Pre-Training
- 2021
- NeurIPS 2021
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
- Chulin Wang
- Kyongmin Yeo
- et al.
- 2021
- NeurIPS 2021
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
- 2021
- NeurIPS 2021
Post-discovery Analysis of Anomalous Subsets
- Isaiah Onando Mulang’
- William Ogallo
- et al.
- 2021
- NeurIPS 2021
Automated Supervised Feature Selection for Differentiated Patterns of Care
- Catherine Wanjiru
- William Ogallo
- et al.
- 2021
- NeurIPS 2021
Sample-efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model
- Samuel Hoffman
- Vijil Vijil
- et al.
- 2021
- NeurIPS 2021
WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data
- Nazir Saleheen
- Md Azim Ullah
- et al.
- 2021
- CCS 2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
- Linkang Du
- Zhikun Zhang
- et al.
- 2021
- CCS 2021