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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

State Gradients for RNN Memory Analysis EMNLP 2018 State-of-the-art Chinese Word Segmentation with Bi-LSTMs EMNLP 2018 Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NeurIPS 2018 Statistical Tomography of Microscopic Life CVPR 2018 Stein Variational Gradient Descent Without Gradient ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Step Size Matters in Deep Learning NeurIPS 2018 ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing CVPR 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks CVPR 2018 Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018 Stochastic Variational Video Prediction ICLR 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Stock Price Prediction Using Attention-based Multi-Input LSTM ACML 2018 Straight to the Tree: Constituency Parsing with Neural Syntactic Distance ACL 2018 StrassenNets: Deep Learning with a Multiplication Budget ICML 2018 Stream Attention for Distributed Multi-Microphone Speech Recognition Interspeech 2018 Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018 Structure-Aware Convolutional Neural Networks NeurIPS 2018 Structured Alignment Networks for Matching Sentences EMNLP 2018 Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 Structured Set Matching Networks for One-Shot Part Labeling CVPR 2018