Papers
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks
Yunpeng Chen, Xiaojie Jin, Bingyi Kang et al.
Sharp Bounds for Generalized Uniformity Testing
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal, He He, Peng Qi et al.
Sheffield Submissions for the WMT18 Quality Estimation Shared Task
Julia Ive, Carolina Scarton, Frédéric Blain et al.
Sheffield Submissions for WMT18 Multimodal Translation Shared Task
Chiraag Lala, Pranava Swaroop Madhyastha, Carolina Scarton et al.
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue et al.
Shift-Net: Image Inpainting via Deep Feature Rearrangement
Zhaoyi Yan, Xiaoming Li, Mu Li et al.
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers
Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang et al.
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
Aditya Joshi, Xiang Dai, Sarvnaz Karimi et al.
Should Code-switching Models Be Asymmetric?
Barbara E. Bullock, Gualberto Guzmán, Jacqueline Serigos et al.
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning
Yuzhao Mao, Chang Zhou, Xiaojie Wang et al.
Show Me a Story: Towards Coherent Neural Story Illustration
Hareesh Ravi, Lezi Wang, Carlos Muniz et al.
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning
Hui Chen, Guiguang Ding, Zijia Lin et al.
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
Xihui Liu, Hongsheng Li, Jing Shao et al.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al.
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng et al.
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Xu Yang, Hanwang Zhang, Jianfei Cai
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning
Guoxian Dai, Jin Xie, Yi Fang
Siamese Network-Based Supervised Topic Modeling
Minghui Huang, Yanghui Rao, Yuwei Liu et al.
Siamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection
Ziwei Zhu, Zhiyong Wu, Runnan Li et al.
Sidekick Policy Learning for Active Visual Exploration
Santhosh K. Ramakrishnan, Kristen Grauman
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Sreejith Kallummil, Sheetal Kalyani
Significance-based community detection in weighted networks
John Palowitch, Shankar Bhamidi, Andrew B. Nobel
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli et al.
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka et al.