Papers
Solving graph compression via optimal transport
Vikas Garg, Tommi Jaakkola
Solving Interpretable Kernel Dimensionality Reduction
Chieh Wu, Jared Miller, Yale Chang et al.
Space and Time Efficient Kernel Density Estimation in High Dimensions
Arturs Backurs, Piotr Indyk, Tal Wagner
Sparse High-Dimensional Isotonic Regression
David Gamarnik, Julia Gaudio
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina et al.
Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell, Boyan Beronov
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Yujiao Shi, Liu Liu, Xin Yu et al.
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata et al.
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
Biwei Huang, Kun Zhang, Pengtao Xie et al.
Spectral Modification of Graphs for Improved Spectral Clustering
Ioannis Koutis, Huong Le
Spherical Text Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang et al.
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
Zhe Wang, Kaiyi Ji, Yi Zhou et al.
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang, Peng Li
Splitting Steepest Descent for Growing Neural Architectures
Lemeng Wu, Dilin Wang, Qiang Liu
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra et al.
Stability of Graph Scattering Transforms
Fernando Gama, Alejandro Ribeiro, Joan Bruna
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu, Matthew Soh et al.
Stacked Capsule Autoencoders
Adam Kosiorek, Sara Sabour, Yee Whye Teh et al.
Stagewise Training Accelerates Convergence of Testing Error Over SGD
Zhuoning Yuan, Yan Yan, Rong Jin et al.
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani et al.
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Karim Ahmed, Lorenzo Torresani
State Aggregation Learning from Markov Transition Data
Yaqi Duan, Tracy Ke, Mengdi Wang
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo