data augmentation

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 What Can Style Transfer and Paintings Do for Model Robustness? CVPR 2021 What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels CVPR 2021 What Should Not Be Contrastive in Contrastive Learning ICLR 2021 When Does Data Augmentation Help With Membership Inference Attacks? ICML 2021 When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks CVPR 2021 Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation NeurIPS 2021 Zero-pronoun Data Augmentation for Japanese-to-English Translation ACL 2021 A Causal View on Robustness of Neural Networks NeurIPS 2020 A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction ACL 2020 A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle ACL 2020 A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks ACL 2020 A critical analysis of self-supervision, or what we can learn from a single image ICLR 2020 ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization COLING 2020 AdvAug: Robust Adversarial Augmentation for Neural Machine Translation ACL 2020 Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP 2020 Adversarial AutoAugment ICLR 2020 Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020 A Group-Theoretic Framework for Data Augmentation NeurIPS 2020 A Group-Theoretic Framework for Data Augmentation JMLR 2020 AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning SemEval 2020 A little goes a long way: Improving toxic language classification despite data scarcity EMNLP 2020 A Low Latency ASR-Free End to End Spoken Language Understanding System Interspeech 2020