Domain Adaptation

On Learning Deep O(n)-Equivariant Hyperspheres ICML 2024 ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection NAACL 2024 ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models ICML 2024 ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting CVPR 2024 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NeurIPS 2024 Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024 OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 On f-Divergence Principled Domain Adaptation: An Improved Framework NeurIPS 2024 On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment ICML 2024 One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection NeurIPS 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning ICML 2024 One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation NeurIPS 2024 Online Adaptive Anomaly Thresholding with Confidence Sequences ICML 2024 Online Continuous Generalized Category Discovery ECCV 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NeurIPS 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework CoRL 2024 On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024 On Regularized Radon-Nikodym Differentiation JMLR 2024 On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NeurIPS 2024 On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm ICML 2024