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 2226–2250 of 10307 papers

Title	Date	Tasks	Status	Score
Generalizing over Long Tail Concepts for Medical Term Normalization	Oct 21, 2022	AttributeTransfer Learning	CodeCode Available	5
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning	May 13, 2018	Deep Reinforcement LearningReinforcement Learning	CodeCode Available	5
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images	Aug 10, 2022	Binary ClassificationFew-Shot Learning	CodeCode Available	5
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains	Jul 2, 2025	Atari GamesChatbot	CodeCode Available	5
Generalization Through The Lens Of Leave-One-Out Error	Mar 7, 2022	Generalization BoundsTransfer Learning	CodeCode Available	5
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer	Dec 1, 2019	AttributeMulti-Task Learning	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
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy	Sep 30, 2023	DecoderSegmentation	CodeCode Available	5
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation	Aug 4, 2024	Causal InferenceTransfer Learning	CodeCode Available	5
Generalizable Local Feature Pre-training for Deformable Shape Analysis	Mar 27, 2023	Transfer Learning	CodeCode Available	5
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling	Jun 13, 2021	Open-Domain Dialogslot-filling	CodeCode Available	5
Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab	Jan 27, 2022	Hate Speech DetectionTransfer Learning	CodeCode Available	5
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition	Jan 22, 2021	Handwritten Text RecognitionTransfer Learning	CodeCode Available	5
ImageNot: A contrast with ImageNet preserves model rankings	Apr 2, 2024	image-classificationImage Classification	CodeCode Available	5
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction	Dec 15, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning	Feb 13, 2024	Transfer Learning	CodeCode Available	5
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning	Aug 19, 2019	reinforcement-learningReinforcement Learning	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
GAN Cocktail: mixing GANs without dataset access	Jun 7, 2021	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
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers	Aug 9, 2024	Image CaptioningTransfer Learning	CodeCode Available	5
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning	Sep 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	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
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems	May 26, 2020	Brain Tumor SegmentationSegmentation	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

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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