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 6901–6950 of 10307 papers

TitleStatusHype
AMEX-AI-LABS: Investigating Transfer Learning for Title Detection in Table of Contents Generation—0
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning—0
Anaphoric Zero Pronoun Identification: A Multilingual Approach—0
Classifying Judgements using Transfer Learning—0
Improving Neural Machine Translation for Sanskrit-English—0
Arabic Dialect Identification Using BERT Fine-TuningCode0
Fine-grained domain classification using Transformers—0
Claim extraction from text using transfer learning.—0
Bilingual Transfer Learning for Online Product Classification—0
Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules—0
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug ReactionsCode0
Transformer Models for Drug Adverse Effects Detection from Tweets—0
Task-Aware Representation of Sentences for Generic Text Classification—0
Towards building a Robust Industry-scale Question Answering System—0
Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches—0
Towards the First Machine Translation System for Sumerian Transliterations—0
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning—0
Cross-lingual Transfer Learning for Grammatical Error Correction—0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention—0
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource LanguagesCode0
Federated Learning for Spoken Language Understanding—0
RoBERT -- A Romanian BERT Model—0
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News—0
Effective Few-Shot Classification with Transfer Learning—0
Offensive Language Detection on Video Live Streaming Chat—0
Context-Aware Text Normalisation for Historical Dialects—0
Multilingual Neural Machine Translation—0
Label Representations in Modeling Classification as Text Generation—0
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning—0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer LearningCode0
MemoSYS at SemEval-2020 Task 8: Multimodal Emotion Analysis in Memes—0
GruPaTo at SemEval-2020 Task 12: Retraining mBERT on Social Media and Fine-tuned Offensive Language Models—0
SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models—0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction—0
TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles—0
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
Solvable Model for Inheriting the Regularization through Knowledge Distillation—0
Multi-level Knowledge Distillation via Knowledge Alignment and CorrelationCode1
Mixed Information Flow for Cross-domain Sequential RecommendationsCode1
Co-Tuning for Transfer LearningCode1
Learning to Adapt to Evolving DomainsCode1
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose trackingCode1
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning—0
Hierarchical Granularity Transfer Learning—0
Unsupervised Representation Learning by Invariance Propagation—0
TransMIA: Membership Inference Attacks Using Transfer Shadow Training—0
Self-Supervised Real-to-Sim Scene Generation—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