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 3276–3300 of 10307 papers

Title	Date	Tasks	Status	Score
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge	Sep 3, 2024	Transfer Learning	CodeCode Available	5
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	CodeCode Available	5
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks	Nov 2, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation	Mar 23, 2021	image-classificationImage Classification	CodeCode Available	5
Environment Invariant Linear Least Squares	Mar 6, 2023	Causal Inferenceregression	CodeCode Available	5
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes	Nov 25, 2020	Gaussian ProcessesTransfer Learning	CodeCode Available	5
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks	Jun 10, 2022	Transfer Learning	CodeCode Available	5
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate	Apr 21, 2018	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking	Mar 19, 2025	Entity LinkingFact Checking	CodeCode Available	5
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer	May 14, 2025	Knowledge TracingLarge Language Model	CodeCode Available	5
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning	Dec 31, 2021	Atari GamesMeta Reinforcement Learning	CodeCode Available	5
Contrastive Bi-Projector for Unsupervised Domain Adaption	Aug 14, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data	Apr 12, 2024	Continual LearningSynthetic Image Detection	CodeCode Available	5
Ensemble of Task-Specific Language Models for Brain Encoding	Oct 24, 2023	Transfer Learning	CodeCode Available	5
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction	Jul 16, 2023	Transfer Learning	CodeCode Available	5
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration	Sep 29, 2023	Continual LearningFederated Learning	CodeCode Available	5
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data	Aug 6, 2021	Data AugmentationGenerative Adversarial Network	CodeCode Available	5
Early Life Cycle Software Defect Prediction. Why? How?	Nov 26, 2020	PredictionTransfer Learning	CodeCode Available	5
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning	Jul 10, 2024	Transfer Learning	CodeCode Available	5
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games	Oct 22, 2024	Atari Gamesreinforcement-learning	CodeCode Available	5
Enriched BERT Embeddings for Scholarly Publication Classification	May 7, 2024	ArticlesClassification	CodeCode Available	5
Ensemble Learning via Knowledge Transfer for CTR Prediction	Nov 25, 2024	Click-Through Rate PredictionEnsemble Learning	CodeCode Available	5
Enhancing textual textbook question answering with large language models and retrieval augmented generation	Feb 5, 2024	Multiple-choiceQuestion Answering	CodeCode Available	5
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images	Jan 8, 2025	Cloud RemovalKnowledge Distillation	CodeCode Available	5
Towards an efficient deep learning model for musical onset detection	Jun 18, 2018	Deep LearningOnset Detection	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