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Improving Word Embedding Compositionality using Lexicographic Definitions From Word Embeddings To Document Distances Progressive Growing of GANs for Improved Quality, Stability, and Variation Retrofitting Word Vectors to Semantic Lexicons Bag of Tricks for Image Classification with Convolutional Neural Networks Multi-Task Deep Neural Networks for Natural Language Understanding Snapshot Ensembles: Train 1, get M for free EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Counter-fitting Word Vectors to Linguistic Constraints AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling Learning semantic similarity in a continuous space Progressive Neural Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Language Models are Unsupervised Multitask Learners

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