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distribution mismatch

29 papers

Papers

GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning CVPR 2026 A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning ICML 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data ICLR 2025 Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks EMNLP 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025 Sample-Optimal Agnostic Boosting with Unlabeled Data ICML 2025 Information-Directed Pessimism for Offline Reinforcement Learning ICML 2024 Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024 On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes ICLR 2024 Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024 Unsupervised Domain Adaptation for Speech Emotion Recognition using K-Nearest Neighbors Voice Conversion Interspeech 2024 Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning CVPR 2023 Semi-supervised Learning with Support Isolation by Small-Paced Self-Training AAAI 2023 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning CVPR 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation AAAI 2022 Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning NeurIPS 2022 Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data WACV 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Test for non-negligible adverse shifts UAI 2022 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 Deep Residual Reinforcement Learning (Extended Abstract) IJCAI 2021 Non-Parametric Priors For Generative Adversarial Networks ICML 2019 Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning CVPR 2016