Transfer Learning
4,808 papers
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Papers
FLOR: On the Effectiveness of Language Adaptation
COLING 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NeurIPS 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
CVPR 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
AAAI 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation
CVPR 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning
ACL 2024
Generalizable Sarcasm Detection is Just Around the Corner, of Course!
NAACL 2024
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
EMNLP 2024
Generative Modeling of Molecular Dynamics Trajectories
NeurIPS 2024
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data
EACL 2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
EMNLP 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
CVPR 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
NAACL 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
EMNLP 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Gradient Rewiring for Editable Graph Neural Network Training
NeurIPS 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
WACV 2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
AAAI 2024
GTNC: A Many-To-One Dataset of Google Translations from NewsCrawl
EACL 2024