Data Augmentation
3,648 papers
Papers per year
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35
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Papers
A Kernel Theory of Modern Data Augmentation
ICML 2019
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
EMNLP 2019
AMASS: Archive of Motion Capture As Surface Shapes
ICCV 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
EMNLP 2019
An End-to-End Audio Classification System Based on Raw Waveforms and Mix-Training Strategy
Interspeech 2019
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
EMNLP 2019
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge
ACL 2019
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task
ACL 2019
A Robust Framework for Acoustic Scene Classification
Interspeech 2019
Artificial Error Generation with Fluency Filtering
ACL 2019
A Scalable Noisy Speech Dataset and Online Subjective Test Framework
Interspeech 2019
A Study of Incorrect Paraphrases in Crowdsourced User Utterances
NAACL 2019
A Summarization System for Scientific Documents
EMNLP 2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
EMNLP 2019
Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis
ACL 2019
Audio Tagging with Compact Feedforward Sequential Memory Network and Audio-to-Audio Ratio Based Data Augmentation
Interspeech 2019
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
IJCAI 2019
Augmenting a German Morphological Database by Data-Intense Methods
ACL 2019
Augmenting Neural Networks with First-order Logic
ACL 2019
AutoAugment: Learning Augmentation Strategies From Data
CVPR 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks
EMNLP 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks
CVPR 2019
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content
EMNLP 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
NeurIPS 2019
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
ACL 2019