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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Data Augmentation for Low-Resource Neural Machine Translation ACL 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
TextImager as a Generic Interface to R EACL 2017
Commonly Uncommon: Semantic Sparsity in Situation Recognition CVPR 2017
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks CVPR 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation NIPS 2017
It Sounds Like You Have a Cold! Testing Voice Features for the Interspeech 2017 Computational Paralinguistics Cold Challenge INTERSPEECH 2017
TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages SEMEVAL 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora EMNLP 2017
Countermeasures for Automatic Speaker Verification Replay Spoofing Attack : On Data Augmentation, Feature Representation, Classification and Fusion INTERSPEECH 2017
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification IJCNLP 2017
Refinery: An Open Source Topic Modeling Web Platform JMLR 2017
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home INTERSPEECH 2017
Light Field Reconstruction Using Deep Convolutional Network on EPI CVPR 2017
Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis INTERSPEECH 2017
Synthesizing Training Data for Object Detection in Indoor Scenes RSS 2017
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels IJCNLP 2017
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering IJCNLP 2017
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification IJCNLP 2017
Ideal Ratio Mask Estimation Using Deep Neural Networks for Monaural Speech Segregation in Noisy Reverberant Conditions INTERSPEECH 2017
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks INTERSPEECH 2017
Tutorial: Making Better Use of the Crowd ACL 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SEMEVAL 2017