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 6776–6800 of 10307 papers

TitleStatusHype
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation—0
Knowledge transfer in deep block-modular neural networks—0
Knowledge Transfer in Deep Reinforcement Learning for Slice-Aware Mobility Robustness Optimization—0
A Novel Implementation of Machine Learning for the Efficient, Explainable Diagnosis of COVID-19 from Chest CT—0
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning—0
Knowledge Transfer Pre-training—0
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset—0
Shallow Parsing for Nepal Bhasa Complement Clauses—0
Shallow Parsing for Nepal Bhasa Complement Clauses—0
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect—0
Knowledge Transfer via Student-Teacher Collaboration—0
Knowledge Transfer with Jacobian Matching—0
Knowledge Transfer with Medical Language Embeddings—0
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)—0
Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation—0
A novel Facial Recognition technique with Focusing on Masked Faces—0
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning—0
Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification—0
Koopman-based Deep Learning for Nonlinear System Estimation—0
kpfriends at SemEval-2022 Task 2: NEAMER -- Named Entity Augmented Multi-word Expression Recognizer—0
kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer—0
Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning—0
A Comprehensive Evaluation Study on Risk Level Classification of Melanoma by Computer Vision on ISIC 2016-2020 Datasets—0
KTAN: Knowledge Transfer Adversarial Network—0
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis—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