3 papers
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…
cs.NI2023
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation
Rafayel Darbinyan, Hrant Khachatrian, Rafayel Mkrtchyan +1
The challenging problem of non-line-of-sight (NLOS) localization is critical for many wireless networking applications. The lack of available datasets has made NLOS localization di…