Transfer Learning
2,890 papers
Papers per year
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24
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327
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477
510
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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