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 6001–6050 of 10307 papers

TitleStatusHype
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months—0
The UCF Systems for the LoResMT 2021 Machine Translation Shared Task—0
Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—0
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion—0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights—0
UoB\_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation.—0
Script Parsing with Hierarchical Sequence Modelling—0
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models—0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Conditional Bures Metric for Domain Adaptation—0
Unsupervised Cross-Modal Distillation for Thermal Infrared TrackingCode1
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda—0
Malware Classification Using Transfer Learning—0
Addressing materials' microstructure diversity using transfer learning—0
Graph Constrained Data Representation Learning for Human Motion SegmentationCode0
A Visual Domain Transfer Learning Approach for Heartbeat Sound ClassificationCode0
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network—0
Transfer Learning in Electronic Health Records through Clinical Concept Embedding—0
Toward Co-creative Dungeon Generation via Transfer Learning—0
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021—0
Deep Transfer Clustering of Radio Signals—0
Preliminary Steps Towards Federated Sentiment Classification—0
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue ImagingCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
ROD: Reception-aware Online Distillation for Sparse GraphsCode0
Transferable Dialogue Systems and User SimulatorsCode1
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things ApplicationCode0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica—0
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings—0
Detail Preserving Residual Feature Pyramid Modules for Optical Flow—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules—0
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI—0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning—0
Target-Oriented Fine-tuning for Zero-Resource Named Entity RecognitionCode1
Time-Frequency Analysis based Deep Interference Classification for Frequency Hopping System—0
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN—0
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesCode1
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone—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