What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
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292 results for Pin-Yu Chen
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
- 2024
- AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
- Shuai Zhang
- Meng Weng
- et al.
- 2022
- ICLR 2022
MAML is a Noisy Contrastive Learner in Classification
- Chia-Hsiang Kao
- Wei-Chen Chiu
- et al.
- 2022
- ICLR 2022
Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022
Adversarial Attack Generation Empowered by Min-Max Optimization
- Jingkang Wang
- Tianyun Zhang
- et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- 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
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021