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 8801–8825 of 10307 papers

TitleStatusHype
Low-resource Deep Entity Resolution with Transfer and Active Learning—0
Universal Successor Features Based Deep Reinforcement Learning for Navigation—0
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models—0
RailSem19: A Dataset for Semantic Rail Scene Understanding—0
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks—0
Membership Privacy for Machine Learning Models Through Knowledge Transfer—0
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations—0
Curriculum Learning for Cumulative Return MaximizationCode0
The iMaterialist Fashion Attribute DatasetCode0
Cross-View Policy Learning for Street NavigationCode0
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles—0
Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?—0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning—0
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain—0
Federated Learning for Emoji Prediction in a Mobile Keyboard—0
Stability of Graph Scattering TransformsCode0
Recognizing License Plates in Real-Time—0
Char-RNN for Word Stress Detection in East Slavic Languages—0
The role of ego vision in view-invariant action recognition—0
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images—0
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains—0
Transfer Learning by Modeling a Distribution over Policies—0
Forward and Backward Knowledge Transfer for Sentiment Classification—0
Disentangled State Space Representations—0
Show:102550
← PrevPage 353 of 413Next →
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