Data Augmentation

AEDA: An Easier Data Augmentation Technique for Text Classification EMNLP 2021 AESOP: Paraphrase Generation with Adaptive Syntactic Control EMNLP 2021 A Fourier-Based Framework for Domain Generalization CVPR 2021 A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding ACL 2021 ALEM at CASE 2021 Task 1: Multilingual Text Classification on News Articles ACL 2021 AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021 Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense SemEval 2021 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021 An Evaluation of Data Augmentation Methods for Sound Scene Geotagging Interspeech 2021 An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation Interspeech 2021 Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021 ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes CVPR 2021 Artificial Dummies for Urban Dataset Augmentation AAAI 2021 A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation ICCV 2021 A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios NAACL 2021 Attack-Guided Perceptual Data Generation for Real-World Re-Identification ICCV 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NeurIPS 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks NAACL 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models Interspeech 2021 AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021 AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models EMNLP 2021 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021