Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
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80 results for Amit Dhurandhar
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
- Jiajin Zhang
- Hanqing Chao
- et al.
- 2023
- MICCAI 2023
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023
Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
- Brianna Richardson
- Prasanna Sattigeri
- et al.
- 2023
- FAccT 2023
Expansive linguistic representations to predict interpretable odor mixture discriminability
- Amit Dhurandhar
- Hongyang Li
- et al.
- 2023
- Chemical Senses
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations
- Bhanushee Sharma
- Vijil Chenthamarakshan
- et al.
- 2023
- Scientific Reports
Explainable Cross-Topic Stance Detection for Search Results
- Tim Draws
- Karthikeyan Natesan Ramamurthy
- et al.
- 2023
- CHIIR 2023
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