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 4751–4800 of 10307 papers

TitleStatusHype
Global Flood Prediction: a Multimodal Machine Learning Approach—0
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface—0
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning—0
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning—0
Restricted Orthogonal Gradient Projection for Continual Learning—0
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning—0
Feasibility and Transferability of Transfer Learning: A Mathematical Framework—0
A Deep Learning Method for Comparing Bayesian Hierarchical ModelsCode0
TransNet: Transferable Neural Networks for Partial Differential Equations—0
Transition-Aware Multi-Activity Knowledge TracingCode0
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text—0
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited DataCode0
Transfer Learning for Olfactory Object Detection—0
Truveta Mapper: A Zero-shot Ontology Alignment FrameworkCode0
Learned Interferometric Imaging for the SPIDER InstrumentCode0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop—0
A predictive physics-aware hybrid reduced order model for reacting flows—0
Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning—0
Efficient Language Model Training through Cross-Lingual and Progressive Transfer LearningCode0
Ensemble Transfer Learning for Multilingual Coreference Resolution—0
Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case StudyCode0
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection—0
Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese HokkienCode0
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance—0
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research—0
Multicenter automatic detection of invasive carcinoma on breast whole slide images—0
Prompting Large Language Model for Machine Translation: A Case Study—0
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation—0
Vision Learners Meet Web Image-Text Pairs—0
Towards Estimating Transferability using Hard Subsets—0
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
Monocular Cyclist Detection with Convolutional Neural Networks—0
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancyCode0
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival dataCode0
Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks—0
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled UnfreezingCode0
Language-Informed Transfer Learning for Embodied Household Activities—0
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning—0
Learning from What is Already Out There: Few-shot Sign Language Recognition with Online DictionariesCode0
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning—0
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in FinanceCode0
Transfer learning for conflict and duplicate detection in software requirement pairsCode0
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing—0
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced TrainingCode0
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites—0
Causal Categorization of Mental Health Posts using Transformers—0
Event Camera Data Pre-training—0
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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