Showing 1–20 of 73 results
/ Date/ Name
Jan 20, 2023Introducing Expertise Logic into Graph Representation Learning from A Causal PerspectiveJun 13, 2024Introducing Diminutive Causal Structure into Graph Representation LearningAug 19, 2024Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised LearningJul 17, 2024Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series ForecastingNov 11, 2024Neuromodulated Meta-LearningMay 23, 2025Reward Model Generalization for Compute-Aware Test-Time ReasoningFeb 13, 2026Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMsMay 22, 2025Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series ForecastingFeb 5, 2026Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMsFeb 6, 2026On the Plasticity and Stability for Post-Training Large Language ModelsJun 21, 2022SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersApr 18, 2024Meta-Auxiliary Learning for Micro-Expression RecognitionJul 17, 2023Unbiased Image Synthesis via Manifold Guidance in Diffusion ModelsJul 18, 2023Towards the Sparseness of Projection Head in Self-Supervised LearningSep 16, 2022MetaMask: Revisiting Dimensional Confounder for Self-Supervised LearningMay 31, 2023Manifold Constraint Regularization for Remote Sensing Image GenerationJan 25, 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain AbstractionDec 10, 2023Hacking Task Confounder in Meta-LearningMar 18, 2024Graph Partial Label Learning with Potential Cause DiscoveringMay 13, 2025LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification