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
Federated Graph Learning for Cross-Domain Recommendation
NeurIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
NeurIPS 2024
Federated Learning over Connected Modes
NeurIPS 2024
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
AAAI 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
NeurIPS 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
IJCAI 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
NeurIPS 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
ACL 2024
FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features
WACV 2024
Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation
EMNLP 2024
Fine-tuning after Prompting: an Explainable Way for Classification
ACL 2024
Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke
ACL 2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
EACL 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Fine-Tuning Language Models on Dutch Protest Event Tweets
EACL 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
EMNLP 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
EMNLP 2024
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
ICLR 2024
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
ACL 2024
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
NAACL 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
EMNLP 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
NeurIPS 2024