Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2251–2275 of 10307 papers

Title	Date	Tasks	Status	Score
Generalizable Local Feature Pre-training for Deformable Shape Analysis	Mar 27, 2023	Transfer Learning	CodeCode Available	5
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains	Jul 2, 2025	Atari GamesChatbot	CodeCode Available	5
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	Sep 17, 2021	Ensemble LearningMultilabel Text Classification	CodeCode Available	5
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization	Jan 2, 2025	Domain GeneralizationSource-free Domain Generalization	CodeCode Available	5
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling	Apr 8, 2024	Transfer Learning	CodeCode Available	5
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection	May 21, 2021	Transfer Learning	CodeCode Available	5
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning	Jul 19, 2024	Continual LearningTransfer Learning	CodeCode Available	5
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning	May 7, 2021	Transfer Learning	CodeCode Available	5
Addressee and Response Selection for Multilingual Conversation	Aug 12, 2018	Transfer Learning	CodeCode Available	5
Gated Domain Units for Multi-source Domain Generalization	Jun 24, 2022	Domain GeneralizationTransfer Learning	CodeCode Available	5
BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts	Oct 13, 2023	BenchmarkingSentiment Analysis	CodeCode Available	5
Anatomy of Neural Language Models	Jan 8, 2024	AnatomyLanguage Modeling	CodeCode Available	5
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment	Jul 6, 2023	Speaker Identificationspeech-recognition	CodeCode Available	5
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound	Aug 22, 2022	AnatomyContrastive Learning	CodeCode Available	5
GAN Cocktail: mixing GANs without dataset access	Jun 7, 2021	Transfer Learning	CodeCode Available	5
Context selectivity with dynamic availability enables lifelong continual learning	Jun 2, 2023	Continual LearningLifelong learning	CodeCode Available	5
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification	Jan 31, 2019	AllClassification	CodeCode Available	5
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers	Aug 9, 2024	Image CaptioningTransfer Learning	CodeCode Available	5
Functional Knowledge Transfer with Self-supervised Representation Learning	Mar 12, 2023	Representation LearningSelf-Supervised Learning	CodeCode Available	5
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion	Mar 25, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification	Jan 6, 2025	Data AugmentationFederated Learning	CodeCode Available	5
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks	Apr 26, 2024	DecoderTransfer Learning	CodeCode Available	5
Balanced joint maximum mean discrepancy for deep transfer learning	May 27, 2020	Domain AdaptationImage Classification	CodeCode Available	5
Unsupervised Representation Learning by Balanced Self Attention Matching	Aug 4, 2024	Representation LearningSelf-Supervised Image Classification	CodeCode Available	5
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding	Oct 12, 2022	Multi-Task LearningTransfer Learning	CodeCode Available	5

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All datasets Office-Home 100 sleep nights of 8 caregivers BanglaLekha Isolated Dataset COCO70 KITTI Object Tracking Evaluation 2012 Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	APCLIP	Accuracy	84.2	—	Unverified
2	DFA-ENT	Accuracy	69.2	—	Unverified
3	DFA-SAFN	Accuracy	69.1	—	Unverified
4	EasyTL	Accuracy	63.3	—	Unverified
5	MEDA	Accuracy	60.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	10-20% Mask PSNR	3.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Chatterjee, Dutta et al.[1]	Accuracy	96.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Co-Tuning	Accuracy	85.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Physical Access	EER	5.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	riadd.aucmedi	AUROC	0.95	—	Unverified