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 2001–2025 of 10307 papers

Title	Date	Tasks	Status	Score
Graph Neural Networks for Surfactant Multi-Property Prediction	Jan 3, 2024	Ensemble LearningMulti-Task Learning	CodeCode Available	5
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model	Apr 3, 2023	Natural Language InferenceText Generation	CodeCode Available	5
Graph Few-shot Learning via Knowledge Transfer	Oct 7, 2019	Few-Shot LearningGeneral Classification	CodeCode Available	5
Bridging the gap between Natural and Medical Images through Deep Colorization	May 21, 2020	ColorizationDiagnostic	CodeCode Available	5
Graph Distillation for Action Detection with Privileged Modalities	Nov 30, 2017	Action ClassificationAction Detection	CodeCode Available	5
Graph-based Knowledge Distillation by Multi-head Attention Network	Jul 4, 2019	Inductive BiasKnowledge Distillation	CodeCode Available	5
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis	Apr 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
GraphBridge: Towards Arbitrary Transfer Learning in GNNs	Feb 26, 2025	Transfer Learning	CodeCode Available	5
Absolute Zero-Shot Learning	Feb 23, 2022	Transfer LearningZero-Shot Learning	CodeCode Available	5
Graph Constrained Data Representation Learning for Human Motion Segmentation	Jul 28, 2021	ClusteringMotion Segmentation	CodeCode Available	5
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection	Jan 22, 2021	Hate Speech DetectionTransfer Learning	CodeCode Available	5
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change	Sep 9, 2017	DecoderTransfer Learning	CodeCode Available	5
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation	Nov 14, 2016	Machine TranslationNMT	CodeCode Available	5
Google Vizier: A Service for Black-Box Optimization	Jan 1, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available	5
An Intrusion Response System utilizing Deep Q-Networks and System Partitions	Feb 16, 2022	Reinforcement Learning (RL)Transfer Learning	CodeCode Available	5
Gotta Learn Fast: A New Benchmark for Generalization in RL	Apr 10, 2018	Few-Shot Learningreinforcement-learning	CodeCode Available	5
Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab	Jan 27, 2022	Hate Speech DetectionTransfer Learning	CodeCode Available	5
Breccia and basalt classification of thin sections of Apollo rocks with deep learning	Oct 28, 2024	Contrastive LearningTransfer Learning	CodeCode Available	5
A Brief Review of Hypernetworks in Deep Learning	Jun 12, 2023	Causal InferenceContinual Learning	CodeCode Available	5
Breast Tumor Classification Using EfficientNet Deep Learning Model	Nov 26, 2024	Binary ClassificationCancer Classification	CodeCode Available	5
Asking and Answering Questions to Extract Event-Argument Structures	Apr 25, 2024	coreference-resolutionCoreference Resolution	CodeCode Available	5
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit	May 31, 2023	Meta-LearningNER	CodeCode Available	5
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samples	Aug 10, 2024	Breast Cancer DetectionBreast Cancer Histology Image Classification	CodeCode Available	5
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language	May 17, 2019	Natural Language InferenceParaphrase Identification	CodeCode Available	5
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology	Nov 25, 2024	Lesion SegmentationSegmentation	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