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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems EMNLP 2022
Dataset Distillation via Factorization NIPS 2022
C-Mixup: Improving Generalization in Regression NIPS 2022
Dataset Distillation using Neural Feature Regression NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
First is Better Than Last for Language Data Influence NIPS 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NIPS 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NIPS 2022
The Effects of Regularization and Data Augmentation are Class Dependent NIPS 2022
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NIPS 2022
akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm Detection NAACL 2022
Disambiguation of morpho-syntactic features of African American English – the case of habitual be ACL 2022
Cross-lingual Inflection as a Data Augmentation Method for Parsing ACL 2022
Retrieval Data Augmentation Informed by Downstream Question Answering Performance ACL 2022
Detecting Label Errors by Using Pre-Trained Language Models EMNLP 2022
Perturbation Augmentation for Fairer NLP EMNLP 2022
Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling EMNLP 2022
Capturing Topic Framing via Masked Language Modeling EMNLP 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022
Efficient and Effective Augmentation Strategy for Adversarial Training NIPS 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NIPS 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NIPS 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling NIPS 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NIPS 2022