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 6551–6600 of 10307 papers

TitleStatusHype
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus ImagesCode0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learningCode0
Robustness of convolutional neural networks to physiological ECG noise—0
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data—0
Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR—0
Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition—0
Multilevel Knowledge Transfer for Cross-Domain Object Detection—0
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store ReviewsCode0
The UCF Systems for the LoResMT 2021 Machine Translation Shared Task—0
UoB\_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation.—0
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights—0
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation—0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba—0
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
Extracting Events from Industrial Incident Reports—0
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months—0
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—0
Improved pronunciation prediction accuracy using morphology—0
Revisiting Pretraining with Adapters—0
Script Parsing with Hierarchical Sequence Modelling—0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Conditional Bures Metric for Domain Adaptation—0
Malware Classification Using Transfer Learning—0
Addressing materials' microstructure diversity using transfer learning—0
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda—0
A Visual Domain Transfer Learning Approach for Heartbeat Sound ClassificationCode0
Graph Constrained Data Representation Learning for Human Motion SegmentationCode0
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network—0
Toward Co-creative Dungeon Generation via Transfer Learning—0
Transfer Learning in Electronic Health Records through Clinical Concept Embedding—0
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021—0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Deep Transfer Clustering of Radio Signals—0
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue ImagingCode0
Preliminary Steps Towards Federated Sentiment Classification—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