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 2751–2775 of 10307 papers

Title	Date	Tasks	Status	Score
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces	Sep 5, 2021	ClassificationEEG	CodeCode Available	5
An Embarrassingly Simple Approach for Knowledge Distillation	Dec 5, 2018	Face RecognitionKnowledge Distillation	CodeCode Available	5
Deep Reinforcement Learning: An Overview	Jan 25, 2017	Deep Reinforcement LearningMachine Translation	CodeCode Available	5
Balanced joint maximum mean discrepancy for deep transfer learning	May 27, 2020	Domain AdaptationImage Classification	CodeCode Available	5
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages	Sep 20, 2019	Cross-Lingual TransferDependency Parsing	CodeCode Available	5
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training	Jan 20, 2021	Transfer 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
Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction	Apr 14, 2021	DenoisingTransfer Learning	CodeCode Available	5
Faster Reinforcement Learning Using Active Simulators	Mar 22, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	5
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model	Oct 26, 2023	Data AugmentationGeneral Knowledge	CodeCode Available	5
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia	Aug 1, 2018	Knowledge GraphsQuestion Answering	CodeCode Available	5
A Combinatorial Perspective on Transfer Learning	Oct 23, 2020	Continual LearningTransfer Learning	CodeCode Available	5
fairseq S2T: Fast Speech-to-Text Modeling with fairseq	Oct 11, 2020	Machine TranslationMulti-Task Learning	CodeCode Available	5
Cross-Lingual Argumentative Relation Identification: from English to Portuguese	Nov 1, 2018	Argument MiningRelation	CodeCode Available	5
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture	Nov 16, 2023	Transfer Learning	CodeCode Available	5
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework	Oct 10, 2019	Bilingual Lexicon InductionCross-Lingual NER	CodeCode Available	5
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning	Aug 12, 2020	Facial Expression RecognitionFacial Expression Recognition (FER)	CodeCode Available	5
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching	May 24, 2019	Dynamic Time WarpingMarketing	CodeCode Available	5
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique	Dec 3, 2023	Data AugmentationDecision Making	CodeCode Available	5
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning	Apr 18, 2021	Continual LearningFew-Shot Learning	CodeCode Available	5
Facial Landmark Predictions with Applications to Metaverse	Sep 29, 2022	Decodertext-to-speech	CodeCode Available	5
Anatomy of Neural Language Models	Jan 8, 2024	AnatomyLanguage Modeling	CodeCode Available	5
BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts	Oct 13, 2023	BenchmarkingSentiment Analysis	CodeCode Available	5
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport	Jan 31, 2025	Data AugmentationTransfer Learning	CodeCode Available	5
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing	Sep 19, 2024	Few-Shot LearningSpike Sorting	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