115 citations · 280 across the 15 of their papers we have counts for
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cs.CL2023
Using Captum to Explain Generative Language Models
Vivek Miglani, Aobo Yang, Aram H. Markosyan +2
Captum is a comprehensive library for model explainability in PyTorch, offering a range of methods from the interpretability literature to enhance users' understanding of PyTorch m…
cs.LG2023
Identifying and Disentangling Spurious Features in Pretrained Image Representations
Rafayel Darbinyan, Hrayr Harutyunyan, Aram H. Markosyan +1
Neural networks employ spurious correlations in their predictions, resulting in decreased performance when these correlations do not hold. Recent works suggest fixing pretrained re…