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 8776–8800 of 10307 papers

TitleStatusHype
\'Etude de l'apprentissage par transfert de syst\`emes de traduction automatique neuronaux (Study on transfer learning in neural machine translation )—0
Transfer Capsule Network for Aspect Level Sentiment ClassificationCode0
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages—0
Toward Comprehensive Understanding of a Sentiment Based on Human MotivesCode0
NetTailor: Tuning the Architecture, Not Just the WeightsCode0
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing TasksCode0
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches—0
Mind2Mind : transfer learning for GANsCode0
Task-Driven Common Representation Learning via Bridge Neural Network—0
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving—0
Compositional Transfer in Hierarchical Reinforcement Learning—0
Emotion Recognition Using Fusion of Audio and Video Features—0
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging—0
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia—0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities—0
Joint Detection of Malicious Domains and Infected Clients—0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging—0
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents—0
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model—0
Better transfer learning with inferred successor maps—0
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability—0
Locality Preserving Joint Transfer for Domain AdaptationCode0
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture FeaturesCode0
Learning Execution through Neural Code Fusion—0
Show:102550
← PrevPage 352 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