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Transfer Learning

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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