Transfer Learning

Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection CVPR 2024 Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection SemEval 2024 Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024 QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation COLING 2024 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024 QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning ICML 2024 Quantifying the Gain in Weak-to-Strong Generalization NeurIPS 2024 R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding ECCV 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation CoRL 2024 Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy NeurIPS 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 Rapid Learning without Catastrophic Forgetting in the Morris Water Maze ICML 2024 Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese COLING 2024 RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024 Re3val: Reinforced and Reranked Generative Retrieval EACL 2024 Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities EACL 2024 READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling COLING 2024 Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines COLING 2024