Showing 21–40 of 73 results
/ Date/ Name
May 15, 2025Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMsNov 12, 2025Doubly Debiased Test-Time Prompt Tuning for Vision-Language ModelsApr 16, 2024Understanding Token-level Topological Structures in Transformer-based Time Series ForecastingNov 30, 2025HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive LearningJul 19, 2024Self-Supervised Video Representation Learning in a Heuristic Decoupled PerspectiveDec 16, 2023Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal PerspectiveJan 11, 2022Bootstrapping Informative Graph Augmentation via A Meta Learning ApproachDec 24, 2021SimViT: Exploring a Simple Vision Transformer with sliding windowsMar 10, 2022MetAug: Contrastive Learning via Meta Feature AugmentationSep 6, 2021Information Theory-Guided Heuristic Progressive Multi-View CodingOct 1, 2024On the Generalization and Causal Explanation in Self-Supervised LearningNov 30, 2024Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory PerspectiveJul 18, 2023Towards Task Sampler Learning for Meta-LearningMay 24, 2024Learning Invariant Causal Mechanism from Vision-Language ModelsSep 13, 2024Rethinking Meta-Learning from a Learning LensMay 10, 2025Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity SegmentationAug 7, 2025Group Causal Policy Optimization for Post-Training Large Language ModelsDec 18, 2024Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion RecognitionFeb 6, 2026Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM ReasoningNov 16, 2025Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration