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 6851–6900 of 10307 papers

TitleStatusHype
Sim-to-real reinforcement learning applied to end-to-end vehicle controlCode1
Decoupled Self Attention for Accurate One Stage Object DetectionCode0
Parameter-Efficient Transfer Learning with Diff PruningCode1
Extended Few-Shot Learning: Exploiting Existing Resources for Novel TasksCode1
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
Warm Starting CMA-ES for Hyperparameter OptimizationCode0
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning—0
CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learningCode1
Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes—0
Distant Domain Transfer Learning for Medical Imaging—0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL)Code1
Direct multimodal few-shot learning of speech and imagesCode0
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19—0
Large-Scale Generative Data-Free Distillation—0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks—0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval—0
Transfer Learning for Efficient Iterative Safety Validation—0
Progressive Network Grafting for Few-Shot Knowledge DistillationCode1
On Knowledge Distillation for Direct Speech Translation—0
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU—0
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNNCode0
Data InStance Prior (DISP) in Generative Adversarial Networks—0
Detecting Insincere Questions from Text: A Transfer Learning ApproachCode0
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer LearningCode1
Reprogramming Language Models for Molecular Representation Learning—0
Adaptive Deep Learning for Entity Resolution by Risk Analysis—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning—0
Cross-Layer Distillation with Semantic CalibrationCode1
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information—0
Data-Efficient Methods for Dialogue Systems—0
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning—0
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks—0
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals—0
Boosting offline handwritten text recognition in historical documents with few labeled lines—0
Sentiment analysis in Bengali via transfer learning using multi-lingual BERTCode0
Text-to-speech for the hearing impaired—0
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment DesignCode0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning—0
Transfer Learning as an Enabler of the Intelligent Digital Twin—0
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks—0
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories—0
Chair Segments: A Compact Benchmark for the Study of Object SegmentationCode0
NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation—0
Show:102550
← PrevPage 138 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