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 2751–2800 of 10307 papers

TitleStatusHype
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
An Embarrassingly Simple Approach for Knowledge DistillationCode0
Cross-Lingual Knowledge Transfer for Clinical PhenotypingCode0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosuresCode0
Feature-Based Transfer Learning for Network SecurityCode0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingCode0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
A Combinatorial Perspective on Transfer LearningCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Cross-Lingual Argumentative Relation Identification: from English to PortugueseCode0
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable PromptingCode0
Fair Generative Models via Transfer LearningCode0
Anatomy of Neural Language ModelsCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance captureCode0
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence MatchingCode0
Facial Landmark Predictions with Applications to MetaverseCode0
Linking emotions to behaviors through deep transfer learningCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsCode0
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and EquityCode0
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encodingCode0
Facial Beauty Analysis Using Distribution Prediction and CNN EnsemblesCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Extracting temporal features into a spatial domain using autoencoders for sperm video analysisCode0
Extending LLMs to New Languages: A Case Study of Llama and Persian AdaptationCode0
Locality Preserving Joint Transfer for Domain AdaptationCode0
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio dataCode0
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation SchemeCode0
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer LearningCode0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
Federated Continual Graph LearningCode0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
Low Latency Privacy Preserving InferenceCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Exploring the Limits of Weakly Supervised PretrainingCode0
Exploring the potential of transfer learning for metamodels of heterogeneous material deformationCode0
Show:102550
← PrevPage 56 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