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 601–625 of 10307 papers

Title	Date	Tasks	Status	Hype
Chip Placement with Deep Reinforcement Learning	Apr 22, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images	Sep 9, 2021	COVID-19 DiagnosisEnsemble Learning	CodeCode Available	1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles	Feb 22, 2022	Deep Reinforcement Learningenergy management	CodeCode Available	1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning	Feb 13, 2023	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning	May 22, 2020	General ClassificationTransfer Learning	CodeCode Available	1
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning	Jan 6, 2020	General ClassificationTransfer Learning	CodeCode Available	1
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset	Oct 5, 2020	Data AugmentationTransfer Learning	CodeCode Available	1
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision	Dec 14, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts	Dec 12, 2023	DenoisingDiversity	CodeCode Available	1
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding	May 15, 2023	DiversityTransfer Learning	CodeCode Available	1
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning	Apr 25, 2020	Bayesian OptimizationTransfer Learning	CodeCode Available	1
Clustered Hierarchical Anomaly and Outlier Detection Algorithms	Feb 9, 2021	Anomaly DetectionClustering	CodeCode Available	1
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing	Aug 12, 2021	Self-Supervised LearningSurvey	CodeCode Available	1
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks	Mar 25, 2022	Incremental LearningKnowledge Distillation	CodeCode Available	1
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation	Mar 4, 2024	CoLATransfer Learning	CodeCode Available	1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	May 24, 2023	Offline RLReinforcement Learning (RL)	CodeCode Available	1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes	Sep 15, 2020	Deep LearningDescriptive	CodeCode Available	1
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data	Apr 11, 2022	Inference AttackMembership Inference Attack	CodeCode Available	1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning	Sep 12, 2022	Federated Learningimage-classification	CodeCode Available	1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading	Sep 2, 2020	automatic short answer gradingTransfer Learning	CodeCode Available	1
Composable Sparse Fine-Tuning for Cross-Lingual Transfer	Oct 14, 2021	Cross-Lingual TransferLanguage Modeling	CodeCode Available	1
Compositional Language Continual Learning	May 1, 2020	Continual LearningMachine Translation	CodeCode Available	1
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model	Oct 23, 2020	FLUENatural Language Understanding	CodeCode Available	1
Confidence-Aware Multi-Teacher Knowledge Distillation	Dec 30, 2021	Knowledge DistillationTransfer Learning	CodeCode Available	1
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization	Apr 9, 2025	Logical ReasoningMathematical Reasoning	CodeCode Available	1

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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