Deep Learning

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild CVPR 2017 SST: Single-Stream Temporal Action Proposals CVPR 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 Stack-based Multi-layer Attention for Transition-based Dependency Parsing EMNLP 2017 Stacked Generative Adversarial Networks CVPR 2017 Stacked Similarity-Aware Autoencoders IJCAI 2017 STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset ACL 2017 Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task CoNLL 2017 State Aware Imitation Learning NeurIPS 2017 State-Frequency Memory Recurrent Neural Networks ICML 2017 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling CVPR 2017 Steering Output Style and Topic in Neural Response Generation EMNLP 2017 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NeurIPS 2017 Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017 Stochastic Recurrent Neural Network for Speech Recognition Interspeech 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Straight to Shapes: Real-Time Detection of Encoded Shapes CVPR 2017 Structural Attention Neural Networks for improved sentiment analysis EACL 2017 Structural Embedding of Syntactic Trees for Machine Comprehension EMNLP 2017 Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation Interspeech 2017 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017 Structured Embedding Models for Grouped Data NeurIPS 2017 Structured Generative Adversarial Networks NeurIPS 2017 Student-Teacher Training with Diverse Decision Tree Ensembles Interspeech 2017