Papers
Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer et al.
Scalable Multiplex Network Embedding
Hongming Zhang, Liwei Qiu, Lingling Yi et al.
Scalable Private Learning with PATE
Nicolas Papernot, Shuang Song, Ilya Mironov et al.
Scalable Probabilistic Causal Structure Discovery
Dhanya Sridhar, Jay Pujara, Lise Getoor
Scalable Robust Matrix Factorization with Nonconvex Loss
Quanming Yao, James Kwok
Scalable Rule Learning via Learning Representation
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Scalable Wide and Deep Learning for Computer Assisted Coding
Marilisa Amoia, Frank Diehl, Jesus Gimenez et al.
Scalar Posterior Sampling with Applications
Georgios Theocharous, Zheng Wen, Yasin Abbasi Yadkori et al.
Scale-Recurrent Network for Deep Image Deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen et al.
Scale-Transferrable Object Detection
Peng Zhou, Bingbing Ni, Cong Geng et al.
Scaling Gaussian Process Regression with Derivatives
David Eriksson, Kun Dong, Eric Lee et al.
Scaling Neural Machine Translation
Myle Ott, Sergey Edunov, David Grangier et al.
Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen et al.
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
David Zoltowski, Jonathan W Pillow
Scaling up Data Augmentation MCMC via Calibration
Leo L. Duan, James E. Johndrow, David B. Dunson
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh et al.
SCAN: Learning Hierarchical Compositional Visual Concepts
Irina Higgins, Nicolas Sonnerat, Loic Matthey et al.
Scanpath Prediction for Visual Attention using IOR-ROI LSTM
Zhenzhong Chen, Wanjie Sun
Scene Graph Parsing as Dependency Parsing
Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng et al.
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Wenhan Xiong, Xiaoxiao Guo, Mo Yu et al.
Scheduling under Uncertainty: A Query-based Approach
Luciana Arantes, Evripidis Bampis, Alexander Kononov et al.
SciDTB: Discourse Dependency TreeBank for Scientific Abstracts
An Yang, Sujian Li
Scientific Discovery as Link Prediction in Influence and Citation Graphs
Fan Luo, Marco A. Valenzuela-Escárcega, Gus Hahn-Powell et al.
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, Albert Bifet et al.