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 8051–8100 of 10307 papers

TitleStatusHype
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization—0
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture—0
A knowledge transfer model for COVID-19 predicting and non-pharmaceutical intervention simulation—0
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning—0
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline—0
Joint Liver Lesion Segmentation and Classification via Transfer Learning—0
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning—0
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis—0
Data Annealing for Informal Language Understanding Tasks—0
A survey on domain adaptation theory: learning bounds and theoretical guarantees—0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?—0
Explicit Domain Adaptation with Loosely Coupled Samples—0
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning—0
Learning Constrained Dynamics with Gauss Principle adhering Gaussian ProcessesCode0
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization—0
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksCode0
Deep Learning for Screening COVID-19 using Chest X-Ray Images—0
Per-pixel Classification Rebar Exposures in Bridge Eye-inspection—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors—0
Headless Horseman: Adversarial Attacks on Transfer Learning Models—0
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis—0
Unsupervised Person Re-identification via Multi-label Classification—0
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans—0
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans—0
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays—0
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion—0
Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Continual Learning for Anomaly Detection in Surveillance Videos—0
Disentangled Adversarial Transfer Learning for Physiological Biosignals—0
Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images—0
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray—0
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation—0
Distilling Localization for Self-Supervised Representation Learning—0
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer LearningCode0
Enabling Incremental Knowledge Transfer for Object Detection at the Edge—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic—0
Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier—0
Deep transfer learning for improving single-EEG arousal detection—0
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer—0
On the Language Neutrality of Pre-trained Multilingual RepresentationsCode0
Translation Artifacts in Cross-lingual Transfer LearningCode0
Towards Reusable Network Components by Learning Compatible Representations—0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition—0
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches—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