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 2851–2875 of 10307 papers

Title	Date	Tasks	Status	Score
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme	Jun 1, 2022	Transfer Learning	CodeCode Available	5
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture	Nov 16, 2023	Transfer Learning	CodeCode Available	5
Cross-Domain NER using Cross-Domain Language Modeling	Jul 1, 2019	Cross-Domain Named Entity RecognitionDomain Adaptation	CodeCode Available	5
Delta Schema Network in Model-based Reinforcement Learning	Jun 17, 2020	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	5
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment	Nov 14, 2023	Contrastive LearningIn-Context Learning	CodeCode Available	5
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments	Nov 10, 2020	Dialogue Act ClassificationGeneral Classification	CodeCode Available	5
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation	Jun 26, 2025	BenchmarkingTransfer Learning	CodeCode Available	5
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation	Jun 5, 2024	Contrastive LearningLanguage Modelling	CodeCode Available	5
Transformers on Multilingual Clause-Level Morphology	Nov 3, 2022	Data AugmentationLanguage Modelling	CodeCode Available	5
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation	Oct 28, 2020	CPUTransfer Learning	CodeCode Available	5
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties	Feb 3, 2024	Intent Recognitionslot-filling	CodeCode Available	5
Speech foundation models in healthcare: Effect of layer selection on pathological speech feature prediction	Feb 2, 2024	Transfer Learning	CodeCode Available	5
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation	Dec 17, 2024	Classificationparameter-efficient fine-tuning	CodeCode Available	5
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning	Jul 23, 2024	Transfer Learning	CodeCode Available	5
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images	May 29, 2023	image-classificationImage Classification	CodeCode Available	5
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning	Mar 9, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	5
Cross-Domain Few-Shot Graph Classification	Jan 20, 2022	ClassificationCross-Domain Few-Shot	CodeCode Available	5
Exploring Target Representations for Masked Autoencoders	Sep 8, 2022	Image ClassificationInstance Segmentation	CodeCode Available	5
Benchmarking Representation Learning for Natural World Image Collections	Mar 30, 2021	BenchmarkingBinary Classification	CodeCode Available	5
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers	Sep 12, 2023	parameter-efficient fine-tuningTransfer Learning	CodeCode Available	5
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis	Mar 3, 2023	Medical Image AnalysisPrognosis	CodeCode Available	5
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems	Jul 3, 2023	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization	Oct 15, 2021	Multiobjective OptimizationTransfer Learning	CodeCode Available	5
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models	May 20, 2024	ARCCitation worhtiness	CodeCode Available	5
Exploring the Benefits of Visual Prompting in Differential Privacy	Mar 22, 2023	image-classificationImage Classification	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