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cs.LG2024
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization
Yang Chen, Long Yang, Yitao Liang +1
Low-Dimension-to-High-Dimension (LDHD) generalization is a special case of Out-of-Distribution (OOD) generalization, where the training data are restricted to a low-dimensional sub…
cs.AI2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen, Cong Fang, Zhouchen Lin +1
Foundation Models (FMs) have demonstrated remarkable insights into the relational dynamics of the world, leading to the crucial question: how do these models acquire an understandi…
cs.LG2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
Yang Chen, Yitao Liang, Zhouchen Lin
Causality has been combined with machine learning to produce robust representations for domain generalization. Most existing methods of this type require massive data from multiple…