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Transfer Learning

3884 directly classified papers

Papers per year

Papers

Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment EMNLP 2024
Why are Visually-Grounded Language Models Bad at Image Classification? NIPS 2024
Pre-training Differentially Private Models with Limited Public Data NIPS 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024
Translating speech with just images INTERSPEECH 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024
DB3V: A Dialect Dominated Dataset of Bird Vocalisation for Cross-corpus Bird Species Recognition INTERSPEECH 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NIPS 2024
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment EMNLP 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NIPS 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning NIPS 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024