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 7401–7450 of 10307 papers

TitleStatusHype
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications—0
Detecting Social Media Manipulation in Low-Resource Languages—0
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue CommentsCode0
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning—0
Low-Resource Adaptation of Neural NLP Models—0
Predictive Analysis of Diabetic Retinopathy with Transfer Learning—0
Robustness and Diversity Seeking Data-Free Knowledge DistillationCode0
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning—0
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from PhotographsCode0
Exploring Multimodal Features and Fusion Strategies for Analyzing Disaster Tweets—0
Domain Adaptive Person Re-Identification via Coupling OptimizationCode0
Language Model is All You Need: Natural Language Understanding as Question Answering—0
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time—0
An analysis of the transfer learning of convolutional neural networks for artistic images—0
Autoencoding Features for Aviation Machine Learning Problems—0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea—0
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech DetectionCode0
Meta-learning Transferable Representations with a Single Target Domain—0
Unsupervised Attention Based Instance Discriminative Learning for Person Re-IdentificationCode0
"You eat with your eyes first": Optimizing Yelp Image Advertising—0
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering—0
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning—0
A Deep Learning Study on Osteosarcoma Detection from Histological Images—0
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer—0
Hate-Speech and Offensive Language Detection in Roman Urdu—0
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition—0
The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task—0
Huawei’s Submissions to the WMT20 Biomedical Translation Task—0
Learning from Explanations and Demonstrations: A Pilot Study—0
CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets—0
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey—0
Cross-lingual sentiment classification in low-resource Bengali languageCode0
TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks—0
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
An Information-Geometric Distance on the Space of TasksCode0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
A Method for Building a Commonsense Inference Dataset based on Basic Events—0
CUNI Submission for the Inuktitut Language in WMT News 2020—0
A multi-source approach for Breton–French hybrid machine translation—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks—0
HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
Quality In, Quality Out: Learning from Actual Mistakes—0
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications—0
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction—0
MedDialog: Large-scale Medical Dialogue DatasetsCode0
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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