Data Augmentation

Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Synthesis with a Convolutional Capsule Generative Adversarial Network MIDL 2019 Implicit Semantic Data Augmentation for Deep Networks NeurIPS 2019 Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting NAACL 2019 Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text ACL 2019 Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System Interspeech 2019 Improving Action Localization by Progressive Cross-Stream Cooperation CVPR 2019 Improving Neural Conversational Models with Entropy-Based Data Filtering ACL 2019 Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation EMNLP 2019 Improving Robustness of Machine Translation with Synthetic Noise NAACL 2019 Improving Semantic Segmentation via Video Propagation and Label Relaxation CVPR 2019 Improving the Robustness of Question Answering Systems to Question Paraphrasing ACL 2019 Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation Interspeech 2019 Incorporating Emoji Descriptions Improves Tweet Classification NAACL 2019 InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting ICCV 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Is artificial data useful for biomedical Natural Language Processing algorithms? ACL 2019 Joint Approach to Deromanization of Code-mixed Texts NAACL 2019 Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange EMNLP 2019 KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks ICLR 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NeurIPS 2019 Learning Multi-Class Segmentations From Single-Class Datasets CVPR 2019