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 8451–8500 of 10307 papers

TitleStatusHype
Multi-Source Cross-Lingual Model Transfer: Learning What to ShareCode0
Transferring climate change physical knowledgeCode0
Transferable Clean-Label Poisoning Attacks on Deep Neural NetsCode0
WikiBERT models: deep transfer learning for many languagesCode0
Transferring Confluent Knowledge to Argument MiningCode0
XNLIeu: a dataset for cross-lingual NLI in BasqueCode0
Transfer Learning of Artist Group Factors to Musical Genre ClassificationCode0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNetCode0
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic ParsingCode0
Transferring facade labels between point clouds with semantic octrees while considering change detectionCode0
Unsupervised Image Classification for Deep Representation LearningCode0
Transfer learning method in the problem of binary classification of chest X-raysCode0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionCode0
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain AdaptationCode0
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap DataCode0
Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning MethodsCode0
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice ModelsCode0
Wildfire danger prediction optimization with transfer learningCode0
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning RepresentationsCode0
To Share or not to Share: Predicting Sets of Sources for Model Transfer LearningCode0
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork PromptCode0
Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document RetrievalCode0
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture RecognitionCode0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Transfer String Kernel for Cross-Context DNA-Protein Binding PredictionCode0
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
Virtual to Real Reinforcement Learning for Autonomous DrivingCode0
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal TransportabilityCode0
Transfer Learning Algorithm with Knowledge Division LevelCode0
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree TransformationCode0
Transformer-Based Approaches for Automatic Music TranscriptionCode0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Vision-and-Language PretrainingCode0
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate ControlCode0
Transfer Learning in Information Criteria-based Feature SelectionCode0
Transfer learning in hybrid classical-quantum neural networksCode0
Transfer Learning in ECG Diagnosis: Is It Effective?Code0
Unsupervised Representation Learning to Aid Semi-Supervised Meta LearningCode0
We're Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard TextCode0
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
Towards Learning a Universal Non-Semantic Representation of SpeechCode0
Transformer-CNN: Fast and Reliable tool for QSARCode0
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge TransferCode0
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and BiasesCode0
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited DataCode0
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign LanguageCode0
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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