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 7051–7100 of 10307 papers

TitleStatusHype
An analysis of the transfer learning of convolutional neural networks for artistic images—0
Language Model is All You Need: Natural Language Understanding as Question Answering—0
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question AnsweringCode1
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech DetectionCode0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea—0
Meta-learning Transferable Representations with a Single Target Domain—0
Autoencoding Features for Aviation Machine Learning Problems—0
"You eat with your eyes first": Optimizing Yelp Image Advertising—0
Unsupervised Attention Based Instance Discriminative Learning for Person Re-IdentificationCode0
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering—0
A Deep Learning Study on Osteosarcoma Detection from Histological Images—0
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning—0
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Huawei’s Submissions to the WMT20 Biomedical Translation Task—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications—0
HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
CUNI Submission for the Inuktitut Language in WMT News 2020—0
Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task—0
The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task—0
The NiuTrans System for the WMT20 Quality Estimation Shared Task—0
SciWING– A Software Toolkit for Scientific Document Processing—0
A multi-source approach for Breton–French hybrid machine translation—0
Quality In, Quality Out: Learning from Actual Mistakes—0
Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer—0
Learning from Explanations and Demonstrations: A Pilot Study—0
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning—0
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks—0
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation—0
Cross-lingual sentiment classification in low-resource Bengali languageCode0
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
UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa—0
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks—0
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition—0
Cancer Registry Information Extraction via Transfer Learning—0
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
The Amazing World of Neural Language Generation—0
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question AnsweringCode0
MedDialog: Large-scale Medical Dialogue DatasetsCode0
Hate-Speech and Offensive Language Detection in Roman Urdu—0
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
``I'd rather just go to bed'': Understanding Indirect Answers—0
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching—0
A Method for Building a Commonsense Inference Dataset based on Basic Events—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
Show:102550
← PrevPage 142 of 207Next →
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