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transfer learning

5449 papers

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TL

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domain adaptation (4595) text classification (6793) representation learning (6206) few-shot learning (3398) multi-task learning (2575) language model (4599) low-resource language (2273) zero-shot learning (3650) knowledge distillation (3725) large language model (13587)

Papers

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding IJCAI 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models EMNLP 2024
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract) AAAI 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024
Multi-Label Supervised Contrastive Learning AAAI 2024
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
Transformer as Linear Expansion of Learngene AAAI 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches CVPR 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024
Understanding and Leveraging the Learning Phases of Neural Networks AAAI 2024