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cs.LG2024
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan +1
Large language models exhibit a remarkable capacity for in-context learning, where they learn to solve tasks given a few examples. Recent work has shown that transformers can be tr…
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…