Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
Publications
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- Kuniaki Saito
- Donghyun Kim
- 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
Efficient Generalization with Distributionally Robust Learning
- Soumyadip Ghosh
- Mark Squillante
- et al.
- 2021
- NeurIPS 2021
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
- Rong Zhu
- Mattia Rigotti
- 2021
- NeurIPS 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- Geng Yuan
- Xialong Ma
- et al.
- 2021
- NeurIPS 2021