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 2676–2700 of 10307 papers

Title	Date	Tasks	Status	Score
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors	Nov 27, 2020	Transfer Learning	CodeCode Available	5
Knowledge Transfer Based Fine-grained Visual Classification	Dec 21, 2020	ClassificationFine-Grained Image Classification	CodeCode Available	5
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning	Jun 19, 2023	class-incremental learningClass Incremental Learning	CodeCode Available	5
Federated Continual Learning for Text Classification via Selective Inter-client Transfer	Oct 12, 2022	Continual LearningFederated Learning	CodeCode Available	5
Attention Based Fully Convolutional Network for Speech Emotion Recognition	Jun 5, 2018	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
An Embarrassingly Simple Approach for Knowledge Distillation	Dec 5, 2018	Face RecognitionKnowledge Distillation	CodeCode Available	5
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network	Oct 29, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search	Mar 26, 2019	GPUImage Captioning	CodeCode Available	5
Auto-Transfer: Learning to Route Transferrable Representations	Feb 2, 2022	Transfer Learning	CodeCode Available	5
Few-shot classification in Named Entity Recognition Task	Dec 14, 2018	ClassificationGeneral Classification	CodeCode Available	5
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling	Oct 1, 2022	Continual LearningCross-Lingual Transfer	CodeCode Available	5
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces	Sep 5, 2021	ClassificationEEG	CodeCode Available	5
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection	Dec 1, 2020	Language IdentificationMachine Translation	CodeCode Available	5
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics	May 31, 2019	General Classificationimage-classification	CodeCode Available	5
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings	Jan 17, 2020	Cross-Lingual TransferPOS	CodeCode Available	5
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition	Feb 29, 2020	Face RecognitionTransfer Learning	CodeCode Available	5
Faster Reinforcement Learning Using Active Simulators	Mar 22, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	5
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models	Sep 25, 2024	Emotion Recognitionparameter-efficient fine-tuning	CodeCode Available	5
Cross-lingual sentiment classification in low-resource Bengali language	Nov 1, 2020	BenchmarkingClassification	CodeCode Available	5
AlphaNet: Improving Long-Tail Classification By Combining Classifiers	Aug 17, 2020	ClassificationLong-tail Learning	CodeCode Available	5
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning	Apr 9, 2019	Computed Tomography (CT)Diagnostic	CodeCode Available	5
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia	Aug 1, 2018	Knowledge GraphsQuestion Answering	CodeCode Available	5
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoning	Dec 24, 2022	SentenceText Generation	CodeCode Available	5
Attend Before you Act: Leveraging human visual attention for continual learning	Jul 25, 2018	Continual LearningDecision Making	CodeCode Available	5
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges	Jan 17, 2024	Cross-Lingual TransferSurvey	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