On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
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97 results at NeurIPS 2022
Compositional generalization through abstract representations in human and artificial neural networks
- Takuya Ito
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
- Shashank Srikant
- Benjamin Lipkin
- et al.
- 2022
- NeurIPS 2022
A Unified Analysis of Federated Learning with Arbitrary Client Participation
- Shiqiang Wang
- Mingyue Ji
- 2022
- NeurIPS 2022
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
- Ge Zhang
- Zhenyu Yang
- et al.
- 2022
- NeurIPS 2022
Multi-objective Deep Data Generation with Correlated Property Control
- Shiyu Wang
- Xiaojie Guo
- et al.
- 2022
- NeurIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models
- Debarun Bhattacharjya
- Radu Marinescu
- 2022
- NeurIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- NeurIPS 2022
Domain Adaptation meets Individual Fairness. And they get along.
- Debarghya Mukherjee
- Felix Petersen
- et al.
- 2022
- NeurIPS 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
- Weichao Mao
- Haoran Qiu
- et al.
- 2022
- NeurIPS 2022