← Application Areas
Machine Learning › Application Areas ›

Data Augmentation

3622 directly classified papers

Papers per year

Papers

Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation INTERSPEECH 2019
Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 Challenge INTERSPEECH 2019
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents EMNLP 2019
A Scalable Noisy Speech Dataset and Online Subjective Test Framework INTERSPEECH 2019
Data Augmentation Using GANs for Speech Emotion Recognition INTERSPEECH 2019
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition INTERSPEECH 2019
AMASS: Archive of Motion Capture As Surface Shapes ICCV 2019
Unsupervised Label Noise Modeling and Loss Correction ICML 2019
Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification NAACL 2019
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019
Abstract Text Summarization: A Low Resource Challenge EMNLP 2019
Audio Tagging with Compact Feedforward Sequential Memory Network and Audio-to-Audio Ratio Based Data Augmentation INTERSPEECH 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance ICCV 2019
Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019
Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing IJCNLP 2019
STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings SEMEVAL 2019
SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing SEMEVAL 2019
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data SEMEVAL 2019
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation INTERSPEECH 2019
Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification INTERSPEECH 2019
Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features INTERSPEECH 2019
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion INTERSPEECH 2019
Rare Sound Event Detection Using Deep Learning and Data Augmentation INTERSPEECH 2019