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 2651–2700 of 10307 papers

TitleStatusHype
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
Few-Shot Image Recognition With Knowledge TransferCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildCode0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
Finger Pose Estimation for Under-screen Fingerprint SensorCode0
Forecasting new diseases in low-data settings using transfer learningCode0
Deep Learning based Intelligent Coin-tap Test for Defect RecognitionCode0
Generalizable Local Feature Pre-training for Deformable Shape AnalysisCode0
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference ModelCode0
Automaton-Guided Curriculum Generation for Reinforcement Learning AgentsCode0
Feudal Graph Reinforcement LearningCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
Federated Machine Learning: Concept and ApplicationsCode0
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
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification GraphsCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Understanding the Transferability of Representations via Task-RelatednessCode0
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student PerformanceCode0
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learningCode0
Federated Continual Graph LearningCode0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19Code0
Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated VideosCode0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectorsCode0
Knowledge Transfer Based Fine-grained Visual ClassificationCode0
Knowledge Transfer-Driven Few-Shot Class-Incremental LearningCode0
Federated Continual Learning for Text Classification via Selective Inter-client TransferCode0
Attention Based Fully Convolutional Network for Speech Emotion RecognitionCode0
An Embarrassingly Simple Approach for Knowledge DistillationCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree SearchCode0
Auto-Transfer: Learning to Route Transferrable RepresentationsCode0
Few-shot classification in Named Entity Recognition TaskCode0
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Two-Level Attention-based Fusion Learning for RGB-D Face RecognitionCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised ModelsCode0
Cross-lingual sentiment classification in low-resource Bengali languageCode0
AlphaNet: Improving Long-Tail Classification By Combining ClassifiersCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoningCode0
Attend Before you Act: Leveraging human visual attention for continual learningCode0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
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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