data augmentation

Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data EMNLP 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 Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels IJCNLP 2017 Learning Discrete Representations via Information Maximizing Self-Augmented Training ICML 2017 Learning to Compose Domain-Specific Transformations for Data Augmentation NeurIPS 2017 Multitask Learning for Mental Health Conditions with Limited Social Media Data EACL 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017 S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017 Synthesizing Training Data for Object Detection in Indoor Scenes RSS 2017 Text Rewriting Improves Semantic Role Labeling (Extended Abstract) IJCAI 2017 Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification IJCNLP 2017 UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SemEval 2017 Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks Interspeech 2017 What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017 A Framework for Automated Marmoset Vocalization Detection and Classification Interspeech 2016 Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language Interspeech 2016 Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling Interspeech 2016 Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition Interspeech 2016 Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016 Enhancing Data-Driven Phone Confusions Using Restricted Recognition Interspeech 2016 Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 Improving Children’s Speech Recognition Through Out-of-Domain Data Augmentation Interspeech 2016 Improving English Conversational Telephone Speech Recognition Interspeech 2016 Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling Interspeech 2016