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Data Augmentation

3,648 papers

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Papers

Sequence-Level Mixed Sample Data Augmentation EMNLP 2020 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification ICML 2020 Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging EMNLP 2020 Simulated multiple reference training improves low-resource machine translation EMNLP 2020 SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020 SpecSwap: A Simple Data Augmentation Method for End-to-End Speech Recognition Interspeech 2020 SpeechMix — Augmenting Deep Sound Recognition Using Hidden Space Interpolations Interspeech 2020 SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020 SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020 State Sequence Pooling Training of Acoustic Models for Keyword Spotting Interspeech 2020 Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines ACL 2020 Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer IJCAI 2020 StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation Interspeech 2020 Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition Interspeech 2020 Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms Interspeech 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets NeurIPS 2020 Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020 Synthetic Examples Improve Generalization for Rare Classes WACV 2020 Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context AAAI 2020 Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles SemEval 2020 Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space EMNLP 2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection COLING 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation CVPR 2020