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 8651–8700 of 10307 papers

TitleStatusHype
Transferring Robustness for Graph Neural Network Against Poisoning AttacksCode0
Latent User Linking for Collaborative Cross Domain Recommendation—0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition—0
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement LearningCode0
Transfer Learning-Based Label Proportions Method with Data of Uncertainty—0
Transfer in Deep Reinforcement Learning using Knowledge Graphs—0
Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews—0
Language Graph Distillation for Low-Resource Machine Translation—0
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach—0
Regularizing CNN Transfer Learning with Randomised Regression—0
Transferable Contrastive Network for Generalized Zero-Shot Learning—0
Multitask and Transfer Learning for Autotuning Exascale Applications—0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems—0
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity—0
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning—0
End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning—0
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs—0
Experience Reuse with Probabilistic Movement Primitives—0
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task DistillationCode0
A Generate-Validate Approach to Answering Questions about Qualitative Relationships—0
Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing—0
Progressive Transfer LearningCode0
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability—0
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval—0
Relative Afferent Pupillary Defect Screening through Transfer Learning—0
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning—0
Distilling Knowledge From a Deep Pose Regressor Network—0
Biologically inspired sleep algorithm for artificial neural networks—0
Cross-domain Network Representations—0
The RWTH Aachen University Machine Translation Systems for WMT 2019—0
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention—0
CUNI Submission for Low-Resource Languages in WMT News 2019—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task—0
MSIT\_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.—0
KU\_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI—0
A Survey on Deep Learning of Small Sample in Biomedical Image AnalysisCode0
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter—0
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation—0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task—0
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions—0
Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning—0
hULMonA: The Universal Language Model in ArabicCode0
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task—0
Robust Deep Sensing Through Transfer Learning in Cognitive Radio—0
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation—0
Improved Generalization of Arabic Text Classifiers—0
Transfer Learning for Health-related Twitter DataCode0
The University of Maryland's Kazakh-English Neural Machine Translation System at WMT19—0
Transfer Learning from Pre-trained BERT for Pronoun Resolution—0
The Universitat d'Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019—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