representations

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions ICML 2025 An Unsupervised Approach for Periodic Source Detection in Time Series ICML 2024 Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models ECCV 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models ICML 2024 Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations ICML 2024 MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series ICML 2024 Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models ICML 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Representation Surgery: Theory and Practice of Affine Steering ICML 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 Experiences with Modeling Network Topologies at Multiple Levels of Abstraction NSDI 2020