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 901–950 of 10307 papers

TitleStatusHype
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsCode1
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-LearningCode1
Pre-training technique to localize medical BERT and enhance biomedical BERTCode1
Meta-Transfer Learning for Few-Shot LearningCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Deep Learning Approach to Diabetic Retinopathy DetectionCode1
Meta-Transfer Learning through Hard TasksCode1
Do Vision Transformers See Like Convolutional Neural Networks?Code1
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learningCode1
Deep Learning Enabled Semantic Communication SystemsCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19Code1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and ResolutionCode1
Mixed Information Flow for Cross-domain Sequential RecommendationsCode1
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time SeriesCode1
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out StrategiesCode1
Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samplesCode1
Deeply Coupled Cross-Modal Prompt LearningCode1
AraT5: Text-to-Text Transformers for Arabic Language GenerationCode1
Domain Adaptation for Time Series Under Feature and Label ShiftsCode1
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
A Survey of Label-Efficient Deep Learning for 3D Point CloudsCode1
A Recent Survey of Heterogeneous Transfer LearningCode1
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving PerceptionCode1
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray ModelsCode1
Model-Based Reinforcement Learning with Isolated ImaginationsCode1
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?Code1
AReLU: Attention-based Rectified Linear UnitCode1
Affordance Transfer Learning for Human-Object Interaction DetectionCode1
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep LearningCode1
Active Transfer Learning for Efficient Video-Specific Human Pose EstimationCode1
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised DataCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management TasksCode1
Domain-Agnostic Molecular Generation with Chemical FeedbackCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
MoVi: A large multi-purpose human motion and video datasetCode1
Deep Transferring QuantizationCode1
Efficient Few-Shot Object Detection via Knowledge InheritanceCode1
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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