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 8151–8200 of 10307 papers

TitleStatusHype
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured WebCode1
Driver Safety Development Real Time Driver Drowsiness Detection System Based on Convolutional Neural Network—0
Model-Driven Beamforming Neural Networks—0
Lipschitz Lifelong Reinforcement LearningCode1
EEV: A Large-Scale Dataset for Studying Evoked Expressions from VideoCode1
PoPS: Policy Pruning and Shrinking for Deep Reinforcement LearningCode1
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning—0
Towards detection and classification of microscopic foraminifera using transfer learningCode0
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and RecommendationCode1
Boosting Deep Face Recognition via Disentangling Appearance and Geometry—0
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models—0
Multi-Scale Weight Sharing Network for Image Recognition—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
LTP: A New Active Learning Strategy for CRF-Based Named Entity RecognitionCode1
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers—0
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature LearningCode0
Multipurpose Intelligent Process Automation via Conversational Assistant—0
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning—0
Stance Detection Benchmark: How Robust Is Your Stance Detection?Code1
Generalizing Emergent Communication—0
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer LearningCode1
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition—0
Exploring Benefits of Transfer Learning in Neural Machine Translation—0
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document ImagesCode1
COPD Classification in CT Images Using a 3D Convolutional Neural Network—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Source Model Selection for Deep Learning in the Time Series DomainCode1
On the comparability of Pre-trained Language Models—0
Decomposable Probability-of-Success Metrics in Algorithmic Search—0
A Two stage Adaptive Knowledge Transfer Evolutionary Multi-tasking Based on Population Distribution for Multi/Many-Objective Optimization—0
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition—0
Estimating Q(s,s') with Deterministic Dynamics Gradients—0
Learning Attentive Meta-Transfer—0
Meta Variance Transfer: Learning to Augment from the Others—0
Mutual Transfer Learning for Massive Data—0
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices—0
Generative Adversarial Networks For Data Scarcity Industrial Positron Images With Attention—0
Side-Tuning: A Baseline for Network Adaptation via Additive Side NetworksCode1
Homogeneous Online Transfer Learning with Online Distribution Discrepancy MinimizationCode0
Machine Learning based Post Processing Artifact Reduction in HEVC Intra Coding—0
Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks—0
Quantifying the Performance of Federated Transfer Learning—0
Deep neural network models for computational histopathology: A survey—0
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models—0
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative StudyCode0
Transfer Learning for Brain Tumor Segmentation—0
Transfer Learning in General Lensless Imaging through Scattering Media—0
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems—0
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsCode0
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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