SOTAVerified

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

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Showing 2701–2750 of 10307 papers

TitleStatusHype
Federated Machine Learning: Concept and ApplicationsCode0
Deep Learning MacroeconomicsCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Two-Level Attention-based Fusion Learning for RGB-D Face RecognitionCode0
Federated Continual Graph LearningCode0
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised ModelsCode0
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imagingCode0
Cross-lingual sentiment classification in low-resource Bengali languageCode0
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningCode0
AlphaNet: Improving Long-Tail Classification By Combining ClassifiersCode0
Federated Continual Learning for Text Classification via Selective Inter-client TransferCode0
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things ApplicationCode0
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain AdaptationCode0
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal AdapterCode0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial DiversityCode0
Attend Before you Act: Leveraging human visual attention for continual learningCode0
An Embarrassingly Simple Approach for Knowledge DistillationCode0
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual FeaturesCode0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of MarathiCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Cross-lingual Lifelong LearningCode0
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)Code0
Adaptive Growth: Real-time CNN Layer ExpansionCode0
Feature-Based Transfer Learning for Network SecurityCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
Deep Model Transferability from Attribution MapsCode0
Learning Physical Concepts in Cyber-Physical Systems: A Case StudyCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus ImagesCode0
Cross-Lingual Knowledge Transfer for Clinical PhenotypingCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Deep Neural Network Fingerprinting by Conferrable Adversarial ExamplesCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Learning Time-Sensitive Strategies in Space FortressCode0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosuresCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Deep Neural Networks Under StressCode0
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingCode0
Deep Nonparametric Conditional Independence Tests for ImagesCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated TextsCode0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
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All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified