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 2451–2475 of 10307 papers

Title	Date	Tasks	Status	Score
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring	Aug 14, 2021	Self-Supervised LearningTransfer Learning	CodeCode Available	5
Force myography benchmark data for hand gesture recognition and transfer learning	Jul 29, 2020	Gesture RecognitionHand Gesture Recognition	CodeCode Available	5
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection	Aug 2, 2024	Claim VerificationData Augmentation	CodeCode Available	5
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification	Apr 11, 2017	document-image-classificationDocument Image Classification	CodeCode Available	5
Flat Posterior Does Matter For Bayesian Model Averaging	Jun 21, 2024	modelTransfer Learning	CodeCode Available	5
Augmenting semantic lexicons using word embeddings and transfer learning	Sep 18, 2021	Recommendation SystemsTransfer Learning	CodeCode Available	5
Forecasting new diseases in low-data settings using transfer learning	Apr 7, 2022	Time Series AnalysisTransfer Learning	CodeCode Available	5
DAC: The Double Actor-Critic Architecture for Learning Options	Apr 29, 2019	Transfer Learning	CodeCode Available	5
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification	Aug 29, 2018	Data AugmentationGeneral Classification	CodeCode Available	5
AMNet: Memorability Estimation with Attention	Apr 9, 2018	General Classificationimage-classification	CodeCode Available	5
Fleet Control using Coregionalized Gaussian Process Policy Iteration	Nov 22, 2019	Gaussian Processesreinforcement-learning	CodeCode Available	5
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning	Feb 27, 2019	General Classificationimage-classification	CodeCode Available	5
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text	Aug 1, 2018	Chinese Word SegmentationTransfer Learning	CodeCode Available	5
Flexible Option Learning	Dec 6, 2021	Deep Reinforcement LearningHierarchical Reinforcement Learning	CodeCode Available	5
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection	Dec 22, 2023	3D Object Detection3D Open-Vocabulary Object Detection	CodeCode Available	5
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis	Mar 20, 2024	Medical Image AnalysisTransfer Learning	CodeCode Available	5
Augmenting Knowledge Transfer across Graphs	Dec 9, 2022	Domain AdaptationTransfer Learning	CodeCode Available	5
From English to Code-Switching: Transfer Learning with Strong Morphological Clues	Sep 11, 2019	Language IdentificationNamed Entity Recognition (NER)	CodeCode Available	5
Curriculum Learning for Cumulative Return Maximization	Jun 13, 2019	Combinatorial OptimizationReinforcement Learning	CodeCode Available	5
DAMSL: Domain Agnostic Meta Score-based Learning	Jun 6, 2021	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	5
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network	Dec 21, 2024	BenchmarkingTransfer Learning	CodeCode Available	5
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation	Jun 6, 2023	Domain AdaptationImage Segmentation	CodeCode Available	5
Finger Pose Estimation for Under-screen Fingerprint Sensor	May 5, 2025	Mixture-of-ExpertsPose Estimation	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
Augmenting Biomedical Named Entity Recognition with General-domain Resources	Jun 15, 2024	Language ModellingMulti-Task 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