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transfer learning

5,419 papers

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Papers

Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need ACL 2024 EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques SemEval 2024 Evaluating the Efficacy of Large Acoustic Model for Documenting Non-Orthographic Tribal Languages in India COLING 2024 Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods CVPR 2024 Event Detection from Social Media for Epidemic Prediction NAACL 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs ICML 2024 ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets Interspeech 2024 Exploring Compositional Generalization of Large Language Models NAACL 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning Interspeech 2024 Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection CVPR 2024 Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties EACL 2024 Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation COLING 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024 Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches CVPR 2024 Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora CoNLL 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 FakeSound: Deepfake General Audio Detection Interspeech 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 FeatUp: A Model-Agnostic Framework for Features at Any Resolution ICLR 2024 Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models ICML 2024