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 6701–6750 of 10307 papers

TitleStatusHype
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets—0
Performance Evaluation of Convolutional Neural Networks for Gait Recognition—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
MinConvNets: A new class of multiplication-less Neural Networks—0
Network-Agnostic Knowledge Transfer for Medical Image Segmentation—0
HANA: A HAndwritten NAme Database for Offline Handwritten Text RecognitionCode0
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets—0
Drug and Disease Interpretation Learning with Biomedical Entity Representation TransformerCode1
Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning—0
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence—0
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech DetectionCode0
Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification—0
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer—0
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character RecognitionCode1
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy—0
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingCode0
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates—0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—0
Few-Shot Bayesian Optimization with Deep Kernel Surrogates—0
Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network—0
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled DataCode1
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape ReconstructionCode1
Mitigating the Position Bias of Transformer Models in Passage Re-RankingCode1
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection—0
Transferring model structure in Bayesian transfer learning for Gaussian process regression—0
A relic sketch extraction framework based on detail-aware hierarchical deep network—0
Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates—0
Learning Invariant Representation for Continual LearningCode1
Supervised Transfer Learning at Scale for Medical Imaging—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Self-Supervised Learning for Segmentation—0
Hostility Detection in Hindi leveraging Pre-Trained Language ModelsCode0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
NetCut: Real-Time DNN Inference Using Layer Removal—0
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand—0
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized LabelsCode1
Deep State Inference: Toward Behavioral Model Inference of Black-box Software SystemsCode0
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation—0
Action Priors for Large Action Spaces in RoboticsCode0
Analysis of skin lesion images with deep learningCode1
A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures—0
Transfer Learning and Augmentation for Word Sense Disambiguation—0
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset—0
RobustSleepNet: Transfer learning for automated sleep staging at scaleCode1
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity—0
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
Transfer Learning Between Different Architectures Via Weights InjectionCode1
Learn Dynamic-Aware State Embedding for Transfer Learning—0
A Robust Illumination-Invariant Camera System for Agricultural Applications—0
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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