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 2301–2325 of 10307 papers

Title	Date	Tasks	Status	Score
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning	May 7, 2021	Transfer Learning	CodeCode Available	5
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification	Jul 28, 2021	Classificationdomain classification	CodeCode Available	5
Gated Domain Units for Multi-source Domain Generalization	Jun 24, 2022	Domain GeneralizationTransfer 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
Context selectivity with dynamic availability enables lifelong continual learning	Jun 2, 2023	Continual LearningLifelong learning	CodeCode Available	5
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans	Jul 8, 2021	Image ClassificationTransfer Learning	CodeCode Available	5
Analyzing the Domain Shift Immunity of Deep Homography Estimation	Apr 19, 2023	Homography EstimationTransfer Learning	CodeCode Available	5
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoning	Dec 24, 2022	SentenceText Generation	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
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
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer	Oct 16, 2021	Acoustic Scene ClassificationScene Classification	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
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis	Aug 4, 2024	ClassificationDiagnostic	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
GAN Cocktail: mixing GANs without dataset access	Jun 7, 2021	Transfer Learning	CodeCode Available	5
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model	Apr 3, 2023	Natural Language InferenceText Generation	CodeCode Available	5
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling	Oct 1, 2022	Continual LearningCross-Lingual Transfer	CodeCode Available	5
Auto-Transfer: Learning to Route Transferrable Representations	Feb 2, 2022	Transfer Learning	CodeCode Available	5
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks	Mar 14, 2023	AutoMLTransfer Learning	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
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification	Jan 6, 2025	Data AugmentationFederated Learning	CodeCode Available	5
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning	Aug 17, 2022	SegmentationTransfer Learning	CodeCode Available	5
A comparison of small sample methods for Handshape Recognition	Apr 1, 2023	Hand Gesture RecognitionMeta-Learning	CodeCode Available	5
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning	Oct 12, 2019	Autonomous NavigationDeep Reinforcement Learning	CodeCode Available	5
From Video Game to Real Robot: The Transfer between Action Spaces	May 2, 2019	Deep Reinforcement LearningReinforcement 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