Co-creating a globally interpretable model with human inputs
- 2023
- ICML 2023
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44 results at ICML 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Identification of the Adversary from a Single Adversarial Example
- Minhao Cheng
- Rui Min
- et al.
- 2023
- ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- Yihao Xue
- Siddharth Joshi
- et al.
- 2023
- ICML 2023
Generative Adversarial Symmetry Discovery
- Jianke Yang
- Robin Walters
- et al.
- 2023
- ICML 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
- Sihui Dai
- Saeed Mahloujifar
- et al.
- 2023
- ICML 2023