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

Showing 28012850 of 10307 papers

TitleStatusHype
Deep Transfer Learning for Multiple Class Novelty DetectionCode0
Deep Transfer Learning for Multi-source Entity Linkage via Domain AdaptationCode0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
Feature-Based Transfer Learning for Network SecurityCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence MatchingCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and EquityCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Bayesian Multi-Task Transfer Learning for Soft Prompt TuningCode0
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interactionCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingCode0
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio dataCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Fair Generative Models via Transfer LearningCode0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning StrategyCode0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Few-shot classification in Named Entity Recognition TaskCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal TrainingCode0
Facial Beauty Analysis Using Distribution Prediction and CNN EnsemblesCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes FrameworkCode0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation SchemeCode0
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public CloudCode0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
Extending LLMs to New Languages: A Case Study of Llama and Persian AdaptationCode0
Extracting temporal features into a spatial domain using autoencoders for sperm video analysisCode0
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer LearningCode0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
Speech foundation models in healthcare: Effect of layer selection on pathological speech feature predictionCode0
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German VarietiesCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Deep State Inference: Toward Behavioral Model Inference of Black-box Software SystemsCode0
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsCode0
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and GeometryCode0
Transformers on Multilingual Clause-Level MorphologyCode0
Exploring the potential of transfer learning for metamodels of heterogeneous material deformationCode0
Facial Landmark Predictions with Applications to MetaverseCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual AlignmentCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2Unverified
2DFA-ENTAccuracy69.2Unverified
3DFA-SAFNAccuracy69.1Unverified
4EasyTLAccuracy63.3Unverified
5MEDAAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95Unverified