conftrace_
← Application Areas
Machine Learning › Application Areas ›

Data Augmentation

3,622 papers

Papers per year

Papers

Scaling Robot Learning with Semantically Imagined Experience RSS 2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis RSS 2023
Sea_and_Wine at SemEval-2023 Task 9: A Regression Model with Data Augmentation for Multilingual Intimacy Analysis SEMEVAL 2023
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation SEMEVAL 2023
Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition SEMEVAL 2023
NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data Augmentation SEMEVAL 2023
HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis SEMEVAL 2023
HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media SEMEVAL 2023
UMUTeam and SINAI at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis using Multilingual Large Language Models and Data Augmentation SEMEVAL 2023
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism SEMEVAL 2023
Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia SEMEVAL 2023
Appeal for Attention at SemEval-2023 Task 3: Data augmentation extension strategies for detection of online news persuasion techniques SEMEVAL 2023
I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers SEMEVAL 2023
ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis SEMEVAL 2023
Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency Training SEMEVAL 2023
DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English SEMEVAL 2023
Lazybob at SemEval-2023 Task 9: Quantifying Intimacy of Multilingual Tweets with Multi-Task Learning SEMEVAL 2023
HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model SEMEVAL 2023
UniBoe’s at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts SEMEVAL 2023
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism SEMEVAL 2023
ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers SEMEVAL 2023
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages SEMEVAL 2023
tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection Using XLM-T, Google Translate, and Ensemble Learning SEMEVAL 2023
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning SEMEVAL 2023