Deep Learning

Stochastic Blockmodels meet Graph Neural Networks ICML 2019 Stochastic Class-Based Hard Example Mining for Deep Metric Learning CVPR 2019 Stochastic Gradient Descent Learns State Equations with Nonlinear Activations COLT 2019 Stochastic Gradient Push for Distributed Deep Learning ICML 2019 Stochastic Nonconvex Optimization with Large Minibatches ALT 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations ICLR 2019 Stochastic Prediction of Multi-Agent Interactions from Partial Observations ICLR 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers NeurIPS 2019 Stochastic Tokenization with a Language Model for Neural Text Classification ACL 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation NAACL 2019 Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible? SemEval 2019 Story Ending Generation with Incremental Encoding and Commonsense Knowledge AAAI 2019 STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings ACL 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Strategies for Structuring Story Generation ACL 2019 Streamlined Dense Video Captioning CVPR 2019 StRE: Self Attentive Edit Quality Prediction in Wikipedia ACL 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Structural Relational Reasoning of Point Clouds CVPR 2019 Structural Supervision Improves Learning of Non-Local Grammatical Dependencies NAACL 2019 Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019 Structured agents for physical construction ICML 2019 Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks NeurIPS 2019