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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1226–1250 of 10307 papers

TitleStatusHype
Unsupervised Transfer Learning for Spatiotemporal Predictive NetworksCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Densely Guided Knowledge Distillation using Multiple Teacher AssistantsCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Critical Thinking for Language ModelsCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Transfer Learning of Graph Neural Networks with Ego-graph Information MaximizationCode1
Transfer Graph Neural Networks for Pandemic ForecastingCode1
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networksCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CTCode1
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised LearningCode1
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
A Survey on Negative TransferCode1
Learning to Localize Actions from MomentsCode1
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its SeverityCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
AKHCRNet: Bengali Handwritten Character Recognition Using Deep LearningCode1
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
What is being transferred in transfer learning?Code1
FastSal: a Computationally Efficient Network for Visual Saliency PredictionCode1
Graphical Object Detection in Document ImagesCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Show:102550
← PrevPage 50 of 413Next →
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