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 1326–1350 of 10307 papers

TitleStatusHype
Deep Fast Vision: Accelerated Deep Transfer Learning Vision Prototyping and BeyondCode1
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation ForecastingCode1
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsCode1
Deep Image Harmonization by Bridging the Reality GapCode1
MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus ImagesCode1
Analysis of skin lesion images with deep learningCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Multi-Label Plant Species Classification with Self-Supervised Vision TransformersCode1
Multi-level Knowledge Distillation via Knowledge Alignment and CorrelationCode1
Deep Learning Approach to Diabetic Retinopathy DetectionCode1
Deep Learning Enabled Semantic Communication SystemsCode1
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its SeverityCode1
From West to East: Who can understand the music of the others better?Code1
Multimodal Side-Tuning for Document ClassificationCode1
Multinational Address Parsing: A Zero-Shot EvaluationCode1
Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamicsCode1
GAIA: A Transfer Learning System of Object Detection that Fits Your NeedsCode1
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning ParadigmsCode1
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report GenerationCode1
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XLCode1
Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with UncertaintyCode1
Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image SegmentationCode1
BadMerging: Backdoor Attacks Against Model MergingCode1
A Whisper transformer for audio captioning trained with synthetic captions and transfer learningCode1
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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