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 6401–6450 of 10307 papers

TitleStatusHype
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer—0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models—0
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation—0
Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way—0
Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification—0
Imitation and Transfer Learning for LQG Control—0
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning—0
Impact of visual assistance for automated audio captioning—0
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
Implementation of Real-Time Lane Detection on Autonomous Mobile Robot—0
Implementing a Real-Time, YOLOv5 based Social Distancing Measuring System for Covid-19—0
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking—0
Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation—0
Implicit Priors for Knowledge Sharing in Bayesian Neural Networks—0
Implicit Surface Contrastive Clustering for LiDAR Point Clouds—0
Imponderous Net for Facial Expression Recognition in the Wild—0
Importance Weighted Adversarial Nets for Partial Domain Adaptation—0
Importance Weighting with a Adversarial Network for Large-Scale Sleep Staging—0
ImpressLearn: Continual Learning via Combined Task Impressions—0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images—0
Improved Cotton Leaf Disease Classification Using Parameter-Efficient Deep Learning Framework—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Improved Generalization of Arabic Text Classifiers—0
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy—0
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models—0
Improved pronunciation prediction accuracy using morphology—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles—0
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning—0
Improvements to context based self-supervised learning—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images—0
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning—0
Improving BERT with Hybrid Pooling Network and Drop Mask—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning—0
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation—0
Improving Cause-of-Death Classification from Verbal Autopsy Reports—0
Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning—0
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education—0
Improving Code Autocompletion with Transfer Learning—0
Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks—0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation—0
Improving Customer Service Chatbots with Attention-based Transfer Learning—0
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO)—0
Improving Device Directedness Classification of Utterances with Semantic Lexical Features—0
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale—0
Show:102550
← PrevPage 129 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