When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
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Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- Ashraful Islam
- Richard Chen
- et al.
- 2021
- NeurIPS 2021
Targeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
- Yining Hong
- Li Yi
- et al.
- 2021
- NeurIPS 2021
Learning with Algorithmic Supervision via Continuous Relaxations
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- NeurIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
IA-RED^2 : Interpretability-Aware Redundancy Reduction for Vision Transformers
- Bowen Pan
- Rameswar Panda
- et al.
- 2021
- NeurIPS 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
- Mingyu Ding
- Zhenfang Chen
- et al.
- 2021
- NeurIPS 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021