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 6851–6900 of 10307 papers

TitleStatusHype
Motion-Augmented Self-Training for Video Recognition at Smaller Scale—0
Prediction of clinical tremor severity using Rank Consistent Ordinal Regression—0
One Model to Rule them All: Towards Zero-Shot Learning for Databases—0
Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset—0
A Deep Learning Framework for Lifelong Machine Learning—0
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images—0
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition—0
Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch—0
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
Towards cross-lingual application of language-specific PoS tagging schemes—0
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Convolutional neural networks for Alzheimer’s disease detection on MRI imagesCode0
Transfer Learning on Multi-Fidelity Data—0
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual RepresentationsCode0
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis—0
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural NetworkCode0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning—0
Evaluating the Values of Sources in Transfer LearningCode0
Towards Sustainable Census Independent Population Estimation in Mozambique—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Claim Detection in Biomedical Twitter Posts—0
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images—0
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks—0
Understanding Synonymous Referring Expressions via Contrastive FeaturesCode0
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI—0
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionCode0
TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with TransformersCode0
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks—0
Suppressing simulation bias using multi-modal data—0
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot LearningCode0
On Training Sketch Recognizers for New Domains—0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained ModelsCode0
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust TrainingCode0
Age Range Estimation using MTCNN and VGG-Face Model—0
Does language help generalization in vision models?Code0
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models—0
To Share or not to Share: Predicting Sets of Sources for Model Transfer LearningCode0
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition—0
Adaptive Sparse Transformer for Multilingual Translation—0
Assessment of deep learning based blood pressure prediction from PPG and rPPG signals—0
Personalized Semi-Supervised Federated Learning for Human Activity Recognition—0
Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life PredictionCode0
Demystifying BERT: Implications for Accelerator Design—0
Show:102550
← PrevPage 138 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