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 8001–8050 of 10307 papers

TitleStatusHype
Efficient Crowd Counting via Structured Knowledge TransferCode1
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection—0
Ensembles of Deep Neural Networks for Action Recognition in Still Images—0
Fully Automated Hand Hygiene Monitoring\ Operating Room using 3D Convolutional Neural Network—0
Intelligent multiscale simulation based on process-guided composite database—0
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning—0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
Incremental Object Detection via Meta-LearningCode1
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based ApproachCode0
DEPARA: Deep Attribution Graph for Deep Knowledge TransferabilityCode1
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
Overview of the TREC 2019 deep learning trackCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
Context-Transformer: Tackling Object Confusion for Few-Shot DetectionCode1
Class Conditional Alignment for Partial Domain Adaptation—0
Identifying Individual Dogs in Social Media Images—0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG ClassificationCode1
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—0
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey—0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay—0
Supervised Domain Adaptation using Graph EmbeddingCode1
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation—0
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature ExtractionCode0
Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation—0
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems—0
Federated Continual Learning with Weighted Inter-client TransferCode1
Traffic Signs Detection and Recognition System using Deep Learning—0
Transfer Learning for Information Extraction with Limited Data—0
Plant Disease Detection from Images—0
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images—0
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data—0
Talking-Heads AttentionCode1
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
jiant: A Software Toolkit for Research on General-Purpose Text Understanding ModelsCode2
Deep Learning Approach to Diabetic Retinopathy DetectionCode1
Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principlesCode0
Transfer Learning for Context-Aware Spoken Language Understanding—0
Trained Model Fusion for Object Detection using Gating Network—0
Curriculum By SmoothingCode1
Med7: a transferable clinical natural language processing model for electronic health recordsCode1
Improving Candidate Generation for Low-resource Cross-lingual Entity LinkingCode1
Discover Your Social Identity from What You Tweet: a Content Based Approach—0
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts—0
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—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