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 7251–7300 of 10307 papers

TitleStatusHype
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
Direct multimodal few-shot learning of speech and imagesCode0
Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes—0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
On Knowledge Distillation for Direct Speech Translation—0
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU—0
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval—0
Transfer Learning for Efficient Iterative Safety Validation—0
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNNCode0
Data InStance Prior (DISP) in Generative Adversarial Networks—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Reprogramming Language Models for Molecular Representation Learning—0
Adaptive Deep Learning for Entity Resolution by Risk Analysis—0
Detecting Insincere Questions from Text: A Transfer Learning ApproachCode0
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning—0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
Data-Efficient Methods for Dialogue Systems—0
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information—0
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks—0
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning—0
Boosting offline handwritten text recognition in historical documents with few labeled lines—0
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals—0
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment DesignCode0
Sentiment analysis in Bengali via transfer learning using multi-lingual BERTCode0
Text-to-speech for the hearing impaired—0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning—0
Transfer Learning as an Enabler of the Intelligent Digital Twin—0
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories—0
Chair Segments: A Compact Benchmark for the Study of Object SegmentationCode0
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks—0
Multilingual Neural Machine Translation—0
Classifying Judgements using Transfer Learning—0
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News—0
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning—0
Context-Aware Text Normalisation for Historical Dialects—0
Arabic Dialect Identification Using BERT Fine-TuningCode0
AMEX-AI-LABS: Investigating Transfer Learning for Title Detection in Table of Contents Generation—0
Hierarchical Granularity Transfer Learning—0
Anaphoric Zero Pronoun Identification: A Multilingual Approach—0
NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation—0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction—0
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
Fine-grained domain classification using Transformers—0
Cross-lingual Transfer Learning for Grammatical Error Correction—0
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning—0
RoBERT -- A Romanian BERT Model—0
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug ReactionsCode0
GruPaTo at SemEval-2020 Task 12: Retraining mBERT on Social Media and Fine-tuned Offensive Language Models—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