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 6351–6400 of 10307 papers

TitleStatusHype
Security Vulnerability Detection Using Deep Learning Natural Language Processing—0
Adapting Monolingual Models: Data can be Scarce when Language Similarity is HighCode0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation—0
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings—0
Continual Learning on the Edge with TensorFlow Lite—0
Motion-Augmented Self-Training for Video Recognition at Smaller Scale—0
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge—0
One Model to Rule them All: Towards Zero-Shot Learning for Databases—0
Prediction of clinical tremor severity using Rank Consistent Ordinal Regression—0
Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset—0
Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch—0
Towards cross-lingual application of language-specific PoS tagging schemes—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
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
A Deep Learning Framework for Lifelong Machine Learning—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks—0
Determining Chess Game State From an ImageCode1
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
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural NetworkCode0
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis—0
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data DomainsCode1
Facial Emotion Recognition Using Transfer Learning in the Deep CNNCode1
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
Mutual Contrastive Learning for Visual Representation LearningCode1
Towards Sustainable Census Independent Population Estimation in Mozambique—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
Claim Detection in Biomedical Twitter Posts—0
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised DataCode1
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images—0
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks—0
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question AnsweringCode1
Understanding Synonymous Referring Expressions via Contrastive FeaturesCode0
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI—0
Suppressing simulation bias using multi-modal data—0
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
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionCode0
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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