out-of-distribution data

AnyPcc: Compressing Any Point Cloud with a Single Universal Model CVPR 2026 CLUE: Bringing Machine Unlearning to Mobile Devices WACV 2026 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025 Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning ICLR 2025 FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency ACL 2025 Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models ICML 2025 The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models ICML 2025 Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems ACL 2025 Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax ICML 2024 Fast and Interpretable Face Identification for Out-of-Distribution Data Using Vision Transformers WACV 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts ICML 2024 Non-stationary Domain Generalization: Theory and Algorithm UAI 2024 Out-Of-Domain Unlabeled Data Improves Generalization ICLR 2024 Predicting generalization performance with correctness discriminators EMNLP 2024 Training A Secure Model against Data-Free Model Extraction ECCV 2024 Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024 Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach EMNLP 2023 Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data ACL 2023 Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator ICML 2023 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 Probabilistic circuits that know what they don’t know UAI 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR Interspeech 2023 The Value of Out-of-Distribution Data ICML 2023