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cs.LG2025
In-Context Clustering with Large Language Models
Ying Wang, Mengye Ren, Andrew Gordon Wilson
We propose In-Context Clustering (ICC), a flexible LLM-based procedure for clustering data from diverse distributions. Unlike traditional clustering algorithms constrained by prede…
cs.LG2025
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
Frank Wu, Mengye Ren
The Forward-Forward (FF) Algorithm is a recently proposed learning procedure for neural networks that employs two forward passes instead of the traditional forward and backward pas…
cs.LG2025
Replay Can Provably Increase Forgetting
Yasaman Mahdaviyeh, James Lucas, Mengye Ren +3
Continual learning seeks to enable machine learning systems to solve an increasing corpus of tasks sequentially. A critical challenge for continual learning is forgetting, where th…