Papers
Scalable Learning of Non-Decomposable Objectives
Elad Eban, Mariano Schain, Alan Mackey et al.
Scalable Levy Process Priors for Spectral Kernel Learning
Phillip A Jang, Andrew Loeb, Matthew Davidow et al.
Scalable Log Determinants for Gaussian Process Kernel Learning
Kun Dong, David Eriksson, Hannes Nickisch et al.
Scalable Model Selection for Belief Networks
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki et al.
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation
Carlos Villacampa-Calvo, Daniel Hernández-Lobato
Scalable Normalized Cut with Improved Spectral Rotation
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang et al.
Scalable Person Re-Identification on Supervised Smoothed Manifold
Song Bai, Xiang Bai, Qi Tian
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
Ga Wu, Buser Say, Scott Sanner
Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity
Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer et al.
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu, Elman Mansimov, Roger B Grosse et al.
Scalable Variational Inference for Dynamical Systems
Nico S Gorbach, Stefan Bauer, Joachim M Buhmann
Scalable Variational Inference for Super Resolution Microscopy
Ruoxi Sun, Evan Archer, Liam Paninski
Scale-Aware Face Detection
Zekun Hao, Yu Liu, Hongwei Qin et al.
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Scaling Active Search using Linear Similarity Functions
Sibi Venkatesan, James K. Miller, Jeff Schneider et al.
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Jeff Bilmes et al.
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang, Bin Hong, Wei Liu et al.
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva et al.
SCC: Semantic Context Cascade for Efficient Action Detection
Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia et al.
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape et al.
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks
Pichao Wang, Wanqing Li, Zhimin Gao et al.
Scene Graph Generation by Iterative Message Passing
Danfei Xu, Yuke Zhu, Christopher B. Choy et al.
Scene Parsing Through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig et al.
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver, David A. Mély et al.
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix et al.