Transfer Learning
4,808 papers
Papers per year
1
2
1
5
7
6
3
9
13
11
41
22
19
61
149
186
299
439
518
605
705
746
904
56
'5
'10
'15
'20
'25
Papers
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
CVPR 2024
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
NeurIPS 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models
CVPR 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
NeurIPS 2024
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
ACL 2024
Parameter Competition Balancing for Model Merging
NeurIPS 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
EMNLP 2024
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
IJCAI 2024
Part-of-Speech Tagging for Northern Kurdish
COLING 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NeurIPS 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
ACL 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NeurIPS 2024
Personalized Federated Learning for Cross-City Traffic Prediction
IJCAI 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
NeurIPS 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design
JMLR 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
NeurIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NeurIPS 2024
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
CVPR 2024
Planning and Editing What You Retrieve for Enhanced Tool Learning
NAACL 2024
PLIP: Language-Image Pre-training for Person Representation Learning
NeurIPS 2024
Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring
IJCAI 2024