Skip to content
conftrace_

Transfer Learning

2,890 papers

12
327
510
'15
'20
'25

Papers

MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NeurIPS 2024 Multilingual Diversity Improves Vision-Language Representations NeurIPS 2024 Multi-modal Transfer Learning between Biological Foundation Models NeurIPS 2024 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval CVPR 2024 NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing NeurIPS 2024 NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms ACL 2024 nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet ACL 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection ACL 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization WACV 2024 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 Open-Set Domain Adaptation for Semantic Segmentation CVPR 2024 Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024 Optical Flow Domain Adaptation via Target Style Transfer WACV 2024 Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024 OTMatch: Improving Semi-Supervised Learning with Optimal Transport ICML 2024 Out-Of-Distribution Detection with Diversification (Provably) NeurIPS 2024 Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift ICML 2024 Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NeurIPS 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024