2 papers
cs.LG2025
Beyond I-Con: Exploring New Dimension of Distance Measures in Representation Learning
Jasmine Shone, Zhening Li, Shaden Alshammari +2
The Information Contrastive (I-Con) framework revealed that over 23 representation learning methods implicitly minimize KL divergence between data and learned distributions that en…
cs.RO2024
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning
Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao +4
Generalization to novel object configurations and instances across diverse tasks and environments is a critical challenge in robotics. Keypoint-based representations have been prov…