Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Publications
Understanding Benign Overfitting in Gradient-based Meta Learning
- Lisha Chen
- Songtao Lu
- et al.
- 2022
- NeurIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
- Shiau Hong Lim
- Ilyas Malik
- 2022
- NeurIPS 2022
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
- Yu-Hsuan Li
- Tzu-Yin Chao
- et al.
- 2022
- NeurIPS 2022
Bringing Image Structure to Video via Frame-Clip Consistency of Object Tokens
- Elad Ben-Avraham
- Roei Herzig
- et al.
- 2022
- NeurIPS 2022
Deep Compression of Pre-trained Transformer Models
- Naigang Wang
- Chi-Chun Liu
- et al.
- 2022
- NeurIPS 2022
Deep Generative Model for Periodic Graphs
- Shiyu Wang
- Xiaojie Guo
- et al.
- 2022
- NeurIPS 2022
Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
- Hiroki Yanagisawa
- Kohei Miyaguchi
- et al.
- 2022
- NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022