Distribution-Aware Coordinate Representation for Human Pose Estimation. Hierarchical Graph Pooling with Structure Learning. Learning Discriminative Model Prediction for Tracking. Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. Kervolutional Neural Networks. Consistency-Aware Recommendation for User-Generated Ite …

Deep Fusion Network for Image Completion. Contextual Imagined Goals for Self-Supervised Robotic Learning. Noise Robust Generative Adversarial Networks. Generative Collaborative Networks for Single Image Super-Resolution. How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. RaFM: Rank-Aw …

Airbnb Price Prediction Using Machine Learning and Sentiment Analysis. Information Bottleneck Methods on Convolutional Neural Networks. Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge. Modelling Stopping Criteria for Search Results using Poisson Processes. The Shmoop Corpus: A Dataset of Stories with …

Adapting Multilingual Neural Machine Translation to Unseen Languages. Adversarial Policy Gradient for Deep Learning Image Augmentation. TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. Story Ending Prediction by Transferable BERT. Learning Optimal Data Augmentation Policies via Bayesia …

Efficient Learning of Distributed Linear-Quadratic Controllers. Self-Supervised Convolutional Subspace Clustering Network. Unsupervised Domain Adaptation of Language Models for Reading Comprehension. Deep Instance-Level Hard Negative Mining Model for Histopathology Images. Deep Flow-Guided Video Inpainting. Automatic Image Pixel Clustering based on …