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 9751–9800 of 10307 papers

TitleStatusHype
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy—0
Enhancing Pothole Detection and Characterization: Integrated Segmentation and Depth Estimation in Road Anomaly Systems—0
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy—0
Enhancing radioisotope identification in gamma spectra via supervised domain adaptation—0
Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AI—0
Enhancing team performance with transfer-learning during real-world human-robot collaboration—0
Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning—0
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning—0
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study—0
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling—0
Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models—0
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs—0
Enhancing Visual Continual Learning with Language-Guided Supervision—0
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning—0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy—0
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema—0
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification—0
Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis—0
Ensembles of Deep Neural Networks for Action Recognition in Still Images—0
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster—0
Ensemble Transfer Learning for Multilingual Coreference Resolution—0
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response—0
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images—0
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation—0
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI—0
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer—0
Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory—0
Epigenomic language models powered by Cerebras—0
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift—0
EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination—0
Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach—0
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption—0
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation—0
EriBERTa: A Bilingual Pre-Trained Language Model for Clinical Natural Language Processing—0
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning—0
Estimating Bicycle Route Attractivity from Image Data—0
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective—0
Estimating Q(s,s') with Deterministic Dynamics Gradients—0
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning—0
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks—0
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI—0
\'Etude de l'apprentissage par transfert de syst\`emes de traduction automatique neuronaux (Study on transfer learning in neural machine translation )—0
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs—0
Evaluating and Improving Child-Directed Automatic Speech Recognition—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
How to Not Measure Disentanglement—0
Evaluating Gaussian Grasp Maps for Generative Grasping Models—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