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 2401–2450 of 10307 papers

TitleStatusHype
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter RecommendationCode0
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic FeaturesCode0
From Video Game to Real Robot: The Transfer between Action SpacesCode0
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural NetworksCode0
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learningCode0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
Task and Domain Adaptive Reinforcement Learning for Robot ControlCode0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraCode0
Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior PredictionCode0
Free the Plural: Unrestricted Split-Antecedent Anaphora ResolutionCode0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Forecasting Future Humphrey Visual Fields Using Deep LearningCode0
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation RecognitionCode0
Forecasting new diseases in low-data settings using transfer learningCode0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
Force myography benchmark data for hand gesture recognition and transfer learningCode0
FOSI: Hybrid First and Second Order OptimizationCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
AMNet: Memorability Estimation with AttentionCode0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim DetectionCode0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
Cycle-consistent Conditional Adversarial Transfer NetworksCode0
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
Fleet Control using Coregionalized Gaussian Process Policy IterationCode0
Flexible Option LearningCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image ClassificationCode0
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer LearningCode0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher NetworkCode0
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical TextCode0
Finger Pose Estimation for Under-screen Fingerprint SensorCode0
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image AnalysisCode0
Augmenting Knowledge Transfer across GraphsCode0
Curriculum Learning for Cumulative Return MaximizationCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
CycDA: Unsupervised Cycle Domain Adaptation from Image to VideoCode0
Fine-Grained Classification for Poisonous Fungi Identification with Transfer LearningCode0
Fine-grained Sentiment Classification using BERTCode0
Show:102550
← PrevPage 49 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