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 1301–1350 of 10307 papers

TitleStatusHype
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
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Deconfounded Representation Similarity for Comparison of Neural NetworksCode1
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionCode1
Automatic identification of segmentation errors for radiotherapy using geometric learningCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Model Sparsity Can Simplify Machine UnlearningCode1
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback ConstraintCode1
Modularizing Deep Learning via Pairwise Learning With KernelsCode1
Decoupling Representation and Classifier for Long-Tailed RecognitionCode1
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-AnalysisCode1
Association Graph Learning for Multi-Task Classification with Category ShiftsCode1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement LearningCode1
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text MatchingCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI DataCode1
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions DatasetCode1
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer LearningCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based ApproachCode1
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single CameraCode1
A Data-Based Perspective on Transfer LearningCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision PrototypingCode1
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