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 401–450 of 10307 papers

TitleStatusHype
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank CloneCode1
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer LearningCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect DetectionCode1
A transfer learning based approach for pronunciation scoringCode1
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsCode1
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder NetworksCode1
Deep Learning Approach to Diabetic Retinopathy DetectionCode1
Componential Prompt-Knowledge Alignment for Domain Incremental LearningCode1
Deep Learning Enabled Semantic Communication SystemsCode1
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
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
Masking meets Supervision: A Strong Learning AllianceCode1
AUGNLG: Few-shot Natural Language Generation using Self-trained Data AugmentationCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
A unified framework for dataset shift diagnosticsCode1
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake modelsCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositionsCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
Authorship Style Transfer with Policy OptimizationCode1
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural NetworksCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Deep Transferring QuantizationCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Automated Cloud Provisioning on AWS using Deep Reinforcement LearningCode1
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature SelectionCode1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image ClassificationCode1
Adversarial Masking for Self-Supervised LearningCode1
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two QuantizationCode1
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion AnalysisCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Automatic identification of segmentation errors for radiotherapy using geometric learningCode1
Detecting Omissions in Geographic Maps through Computer VisionCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Determining Chess Game State From an ImageCode1
Adversarial Self-Supervised Contrastive LearningCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement LearningCode1
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEGCode1
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report GenerationCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningCode1
Show:102550
← PrevPage 9 of 207Next →
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