Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022
Publications
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77 results for Amit Dhurandhar
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
- Kartik Ahuja
- Jun Wang
- et al.
- 2021
- ICLR 2021
Anomaly Attribution with Likelihood Compensation
- 2021
- AAAI 2021
Model Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Learning of Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanu Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Invariant Risk Minimization Games
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Trust Regions for Explanations via Black-Box Probabilistic Certification
- Amit Dhurandhar
- Swagatam Haldar
- et al.
- 2024
- ICML 2024