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 4851–4900 of 10307 papers

TitleStatusHype
Polite Task-oriented Dialog Agents: To Generate or to Rewrite?—0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts—0
Conversational AI for Positive-sum Retailing under Falsehood ControlCode0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task—0
CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLPCode0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach—0
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition—0
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic DataCode2
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation—0
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGANCode1
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual TransferCode0
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series ForecastCode0
Resource-efficient domain adaptive pre-training for medical images—0
Adversarial Fine-tune with Dynamically Regulated Adversary—0
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell ResolutionCode1
Model Selection, Adaptation, and Combination for Transfer Learning in Wind and Photovoltaic Power Forecasts—0
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection—0
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning—0
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical TransformerCode0
CATrans: Context and Affinity Transformer for Few-Shot Segmentation—0
Transfer Learning with Pre-trained Conditional Generative Models—0
Parkinson's disease diagnostics using AI and natural language knowledge transfer—0
Meta-free few-shot learning via representation learning with weight averaging—0
ISTRBoost: Importance Sampling Transfer Regression using Boosting—0
Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask LearningCode1
Meta Transfer Learning for Early Success Prediction in MOOCsCode0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
Multi-objective Pointer Network for Combinatorial OptimizationCode0
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy—0
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask TrainingCode1
Smart App Attack: Hacking Deep Learning Models in Android AppsCode1
Improving Self-Supervised Learning-based MOS Prediction NetworksCode0
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models—0
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod—0
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenariosCode0
A benchmark dataset for deep learning-based airplane detection: HRPlanesCode1
Progressive Training of A Two-Stage Framework for Video RestorationCode1
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation—0
You Are What You Write: Preserving Privacy in the Era of Large Language Models—0
Self-supervised Learning for Sonar Image ClassificationCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
K-LITE: Learning Transferable Visual Models with External KnowledgeCode2
Detecting Text Formality: A Study of Text Classification ApproachesCode0
On The Cross-Modal Transfer from Natural Language to Code through Adapter ModulesCode0
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer—0
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology—0
Show:102550
← PrevPage 98 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