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 6551–6600 of 10307 papers

TitleStatusHype
A Taxonomy of Similarity Metrics for Markov Decision Processes—0
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning—0
Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy—0
NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil—0
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study—0
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encodingCode0
Transfer Learning based Speech Affect Recognition in Urdu—0
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning ChallengesCode1
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection—0
Transfer Learning-Based Model Protection With Secret Key—0
Deep Neural Network Models Compression—0
Transfer learning from High-Resource to Low-Resource Language Improves Speech Affect Recognition Classification Accuracy—0
End-to-end acoustic modelling for phone recognition of young readers—0
A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models—0
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis—0
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks—0
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning—0
Learning Invariant Representations across Domains and Tasks—0
Adaptive Consistency Regularization for Semi-Supervised Transfer LearningCode1
Domain Generalization: A Survey—0
Understanding WiFi Signal Frequency Features for Position-Independent Gesture Sensing—0
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural NetworkCode0
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning—0
Fast Adaptation with Linearized Neural Networks—0
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning—0
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power linesCode0
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths—0
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound ClassificationCode1
The Relevance of the Source Language in Transfer Learning for ASR—0
A Machine Learning Approach for Predicting Human Preference for Graph Layouts—0
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media—0
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network—0
Distilling Knowledge via Intermediate ClassifiersCode1
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose EstimationCode0
Scalable Causal Domain AdaptationCode0
Improved Automated Machine Learning from Transfer LearningCode0
Three-dimensional Coherent X-ray Diffraction Imaging via Deep Convolutional Neural Networks—0
Multi-task transfer learning for finding actionable information from crisis-related messages on social media—0
Scalable Multiagent Driving Policies For Reducing Traffic CongestionCode0
Neural Code SummarizationCode0
Application of Transfer Learning to Sign Language Recognition using an Inflated 3D Deep Convolutional Neural NetworkCode0
Web Table Classification based on Visual Features—0
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance SegmentationCode1
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning—0
Self-Tuning for Data-Efficient Deep 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