Transfer Learning

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NeurIPS 2024 FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NeurIPS 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 Fast Ensembling with Diffusion Schrödinger Bridge ICLR 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NeurIPS 2024 Federated Text-driven Prompt Generation for Vision-Language Models ICLR 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 Few-shot Hybrid Domain Adaptation of Image Generator ICLR 2024 Few-Shot Keyword Spotting from Mixed Speech Interspeech 2024 Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024 Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024 Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NeurIPS 2024 Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NeurIPS 2024 Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024 Fine-tune Pre-Trained Models with Multi-Level Feature Fusion for Speaker Verification Interspeech 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility Interspeech 2024 Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs ACL 2024