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 7651–7700 of 10307 papers

TitleStatusHype
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging—0
AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection—0
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets—0
Affect inTweets: A Transfer Learning Approach—0
Affordance Labeling and Exploration: A Manifold-Based Approach—0
A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest—0
A Flexible Selection Scheme for Minimum-Effort Transfer Learning—0
A Foliated View of Transfer Learning—0
A Food Photography App with Image Recognition for Thai Food—0
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field—0
A foundational neural operator that continuously learns without forgetting—0
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning—0
A Framework for Hierarchical Multilingual Machine Translation—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
A Free-Energy Principle for Representation Learning—0
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs—0
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury—0
Age and Gender Prediction using Deep CNNs and Transfer Learning—0
A general approach to bridge the reality-gap—0
A General Approach to Domain Adaptation with Applications in Astronomy—0
A General Class of Transfer Learning Regression without Implementation Cost—0
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks—0
A general method for regularizing tensor decomposition methods via pseudo-data—0
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
A General Regularization Framework for Domain Adaptation—0
A Generate-Validate Approach to Answering Questions about Qualitative Relationships—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation—0
AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes—0
AgentPose: Progressive Distribution Alignment via Feature Agent for Human Pose Distillation—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Age Range Estimation using MTCNN and VGG-Face Model—0
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains—0
Aggression Identification in Social Media: a Transfer Learning Based Approach—0
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning—0
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning—0
Agreement Tracking for Multi-Issue Negotiation Dialogues—0
Agricultural Plantation Classification using Transfer Learning Approach based on CNN—0
A Growing Long-term Episodic & Semantic Memory—0
A Hands-on Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation—0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents—0
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data—0
A HMAX with LLC for visual recognition—0
A Hybrid Approach for COVID-19 Detection: Combining Wasserstein GAN with Transfer Learning—0
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant—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