Papers
Scalable Deep Generative Relational Model with High-Order Node Dependence
Xuhui Fan, Bin Li, Caoyuan Li et al.
Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob Gardner et al.
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu, Dixin Luo, Lawrence Carin
Scalable inference of topic evolution via models for latent geometric structures
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha et al.
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Cole Hurwitz, Kai Xu, Akash Srivastava et al.
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner, Michael Schmidt, Heinz Koeppl
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang, Zhanhong Tan, Jiebo Song et al.
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhoefer, Gordon Wetzstein
Screening Sinkhorn Algorithm for Regularized Optimal Transport
Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso et al.
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma et al.
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Ben Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Secretary Ranking with Minimal Inversions
Sepehr Assadi, Eric Balkanski, Renato Leme
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Jennifer Cardona, Michael Howland, John Dabiri
Selecting causal brain features with a single conditional independence test per feature
Atalanti Mastakouri, Bernhard Schölkopf, Dominik Janzing
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression
Ruidi Chen, Ioannis Paschalidis
Selecting the independent coordinates of manifolds with large aspect ratios
Yu-Chia Chen, Marina Meila
Selective Sampling-based Scalable Sparse Subspace Clustering
Shin Matsushima, Maria Brbic
Self-attention with Functional Time Representation Learning
Da Xu, Chuanwei Ruan, Evren Korpeoglu et al.
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu, Raymond Mooney
Self-Routing Capsule Networks
Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder, Bjarne Sievers
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen et al.
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu, Andrew Davison, Edward Johns
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Yitian Yuan, Lin Ma, Jingwen Wang et al.
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang et al.