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Data Augmentation

3,622 papers

Papers per year

Papers

I2C Huelva at SemEval-2023 Task 4: A Resampling and Transformers Approach to Identify Human Values behind Arguments SEMEVAL 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset SEMEVAL 2023
NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques SEMEVAL 2023
FMI-SU at SemEval-2023 Task 7: Two-level Entailment Classification of Clinical Trials Enhanced by Contextual Data Augmentation SEMEVAL 2023
Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense Disambiguation SEMEVAL 2023
WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis SEMEVAL 2023
DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation SEMEVAL 2023
NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection SEMEVAL 2023
Stanford MLab at SemEval-2023 Task 10: Exploring GloVe- and Transformer-Based Methods for the Explainable Detection of Online Sexism SEMEVAL 2023
CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies SEMEVAL 2023
VBD_NLP at SemEval-2023 Task 2: Named Entity Recognition Systems Enhanced by BabelNet and Wikipedia SEMEVAL 2023
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks SEMEVAL 2023
Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language Models SEMEVAL 2023
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification SEMEVAL 2023
Human-in-the-Loop Mixup UAI 2023
Differentially private synthetic data using KD-trees UAI 2023
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching UAI 2023
MixupE: Understanding and improving Mixup from directional derivative perspective UAI 2023
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification WACV 2023
DigiFace-1M: 1 Million Digital Face Images for Face Recognition WACV 2023
Synthetic Latent Fingerprint Generator WACV 2023
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation WACV 2023
Spatial Consistency Loss for Training Multi-Label Classifiers From Single-Label Annotations WACV 2023
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation WACV 2023
Intra-Source Style Augmentation for Improved Domain Generalization WACV 2023