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

Showing 24012425 of 10307 papers

TitleStatusHype
Free the Plural: Unrestricted Split-Antecedent Anaphora ResolutionCode0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Force myography benchmark data for hand gesture recognition and transfer learningCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter RecommendationCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic FeaturesCode0
Forecasting Future Humphrey Visual Fields Using Deep LearningCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Fleet Control using Coregionalized Gaussian Process Policy IterationCode0
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Flexible Option LearningCode0
Task and Domain Adaptive Reinforcement Learning for Robot ControlCode0
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraCode0
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher NetworkCode0
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image AnalysisCode0
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer LearningCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation RecognitionCode0
Finger Pose Estimation for Under-screen Fingerprint SensorCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2Unverified
2DFA-ENTAccuracy69.2Unverified
3DFA-SAFNAccuracy69.1Unverified
4EasyTLAccuracy63.3Unverified
5MEDAAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95Unverified