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data augmentation

3,121 papers

DA

Papers

On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets EMNLP 2022 On the effectiveness of adversarial training against common corruptions UAI 2022 On the Effects of Artificial Data Modification ICML 2022 On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing ACL 2022 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NeurIPS 2022 OpenASR21: The Second Open Challenge for Automatic Speech Recognition of Low-Resource Languages Interspeech 2022 Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution NeurIPS 2022 ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning Interspeech 2022 Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning WACV 2022 ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms EMNLP 2022 ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation EMNLP 2022 ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation COLING 2022 PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022 PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings EMNLP 2022 Perturbation Augmentation for Fairer NLP EMNLP 2022 PISA: PoIncaré Saliency-Aware Interpolative Augmentation Interspeech 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022 Play música alegre: A Large-Scale Empirical Analysis of Cross-Lingual Phenomena in Voice Assistant Interactions EMNLP 2022 Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations ICML 2022 Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation SemEval 2022 PM-MMUT: Boosted Phone-mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition Interspeech 2022 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies NeurIPS 2022 PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds NeurIPS 2022 Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers NAACL 2022 Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation EMNLP 2022