On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
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Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
- Yu-Hsuan Li
- Tzu-Yin Chao
- et al.
- 2022
- NeurIPS 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
- Hiroki Yanagisawa
- Kohei Miyaguchi
- et al.
- 2022
- NeurIPS 2022
Procedural Image Programs for Representation Learning
- Manel Baradad
- Chun Fu Chen
- et al.
- 2022
- NeurIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
- Ximeng Sun
- Ping Hu
- et al.
- 2022
- NeurIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
- Shiau Hong Lim
- Ilyas Malik
- 2022
- NeurIPS 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
- Aleksandros Sobczyk
- Mathieu Luisier
- 2022
- NeurIPS 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
- Shashank Srikant
- Benjamin Lipkin
- et al.
- 2022
- NeurIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022