Kyle Whitecross

According to our database, Kyle Whitecross authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval.

Kyle Whitecross, Negin Rahimi

CoRR, April, 2026

2024

Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise.

Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2022

Superior generalization of smaller models in the presence of significant label noise.

Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

CoRR, 2022

Investigating Why Contrastive Learning Benefits Robustness against Label Noise.

Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2022