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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023
Learning Instance-Specific Augmentations by Capturing Local Invariances ICML 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023
The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models IJCNLP 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023
Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023
HW-TSC 2023 Submission for the Quality Estimation Shared Task EMNLP 2023
Clustering High-dimensional Data with Ordered Weighted $\ell_1$ Regularization AISTATS 2023
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023
Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language Models ACL 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NIPS 2023
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL 2023
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification SEMEVAL 2023
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks SEMEVAL 2023
CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies SEMEVAL 2023
WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis SEMEVAL 2023
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning 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
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages SEMEVAL 2023
HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model SEMEVAL 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AISTATS 2023
Lazybob at SemEval-2023 Task 9: Quantifying Intimacy of Multilingual Tweets with Multi-Task Learning SEMEVAL 2023
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023