Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
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77 results for Amit Dhurandhar
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
- Amit Dhurandhar
- Karthikeyan Natesan Ramamurthy
- et al.
- 2022
- NeurIPS 2022
Accurate multi-endpoint molecular toxicity predictions in humans with contrastive explanations
- Bhanushee Sharma
- Vijil Chenthamarakshan
- et al.
- 2022
- ACS Spring 2022
Improving simple models with confidence profiles
- Amit Dhurandhar
- Ronny Luss
- et al.
- 2018
- NeurIPS 2018
Explanations based on the Missing: Towards contrastive explanations with pertinent negatives
- 2018
- NeurIPS 2018
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
- Jiajin Zhang
- Hanqing Chao
- et al.
- 2023
- AAAI 2023
Local Explanations for Reinforcement Learning
- Ronny Luss
- Amit Dhurandhar
- et al.
- 2023
- AAAI 2023
On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020