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Data Augmentation

429 directly classified papers

Papers per year

Papers

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation EMNLP 2021
Causal Augmentation for Causal Sentence Classification EMNLP 2021
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction EMNLP 2021
Data Augmentation Methods for Anaphoric Zero Pronouns EMNLP 2021
Sister Help: Data Augmentation for Frame-Semantic Role Labeling EMNLP 2021
Learning Data Augmentation Schedules for Natural Language Processing EMNLP 2021
TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission EMNLP 2021
High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical Task EMNLP 2021
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach CVPR 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021
StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning CVPR 2021
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training CVPR 2021
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm AAAI 2021
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text ACL 2021
LeCun at SemEval-2021 Task 6: Detecting Persuasion Techniques in Text Using Ensembled Pretrained Transformers and Data Augmentation ACL 2021
Augmentation Strategies for Learning With Noisy Labels CVPR 2021