Transfer Learning

One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023 One Fits All: Power General Time Series Analysis by Pretrained LM NeurIPS 2023 One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer EMNLP 2023 One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023 One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 On Pitfalls of Test-Time Adaptation ICML 2023 On Surgical Fine-tuning for Language Encoders EMNLP 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Impact of Cross-Domain Data on German Language Models EMNLP 2023 On the Importance and Applicability of Pre-Training for Federated Learning ICLR 2023 On the N-gram Approximation of Pre-trained Language Models Interspeech 2023 On the Power of Foundation Models ICML 2023 On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ICML 2023 On the Robustness of Arabic Speech Dialect Identification Interspeech 2023 On the Role of Parallel Data in Cross-lingual Transfer Learning ACL 2023 On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure AAAI 2023 On the Transferability of Visually Grounded PCFGs EMNLP 2023 OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data AAAI 2023 Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023 Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer AAAI 2023 Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023 Optimistic Rates for Multi-Task Representation Learning NeurIPS 2023 Optimized Crystallographic Graph Generation for Material Science IJCAI 2023