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 8651–8700 of 10307 papers

TitleStatusHype
Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced DatasetsCode0
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image AnalysisCode0
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher NetworkCode0
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer LearningCode0
Finger Pose Estimation for Under-screen Fingerprint SensorCode0
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Fleet Control using Coregionalized Gaussian Process Policy IterationCode0
On the Generation of Medical Dialogues for COVID-19Code0
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulenceCode0
Flexible Option LearningCode0
Accelerating Certified Robustness Training via Knowledge TransferCode0
Self-Evolved Dynamic Expansion Model for Task-Free Continual LearningCode0
Fine-grained Sentiment Classification using BERTCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Fine-Grained Classification for Poisonous Fungi Identification with Transfer LearningCode0
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service InferenceCode0
Appeal prediction for AI up-scaled ImagesCode0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
Recipe recognition with large multimodal food datasetCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Deep transfer learning for visual analysis and attribution of paintings by RaphaelCode0
On the importance of cross-task features for class-incremental learningCode0
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant SetupCode0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Force myography benchmark data for hand gesture recognition and transfer learningCode0
Forecasting Future Humphrey Visual Fields Using Deep LearningCode0
Aplicación de redes neuronales convolucionales profundas al diagnóstico asistido de la enfermedad de AlzheimerCode0
Forecasting new diseases in low-data settings using transfer learningCode0
On the Language Neutrality of Pre-trained Multilingual RepresentationsCode0
Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 ChallengeCode0
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning ComprehensionCode0
Low-Cost Transfer Learning of Face TasksCode0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
SNU\_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning ComprehensionCode0
FOSI: Hybrid First and Second Order OptimizationCode0
Low Latency Privacy Preserving InferenceCode0
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior PredictionCode0
Few-Shot Image Recognition With Knowledge TransferCode0
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-RaysCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural networkCode0
Few-Shot Fruit Segmentation via Transfer LearningCode0
Absolute Zero-Shot LearningCode0
Low Resource Chat Translation: A Benchmark for Hindi–English Language PairCode0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
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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