Papers
Subspace Clustering via Tangent Cones
Amin Jalali, Rebecca Willett
Subspace Clustering via Variance Regularized Ridge Regression
Chong Peng, Zhao Kang, Qiang Cheng
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora
Yoshinari Fujinuma, Alvin Grissom II
Successor Features for Transfer in Reinforcement Learning
Andre Barreto, Will Dabney, Remi Munos et al.
Summarizing Lengthy Questions
Tatsuya Ishigaki, Hiroya Takamura, Manabu Okumura
Summary: Multi-Agent Path Finding with Kinematic Constraints
Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen et al.
Supernumerary Robotic Limbs for Human Augmentation in Overhead Assembly Tasks
Zack Bright, H. Harry Asada
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
Donghun Yeo, Jeany Son, Bohyung Han et al.
Superpixels and Polygons Using Simple Non-Iterative Clustering
Radhakrishna Achanta, Sabine Susstrunk
Supervised Attention for Sequence-to-Sequence Constituency Parsing
Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao et al.
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
Maxime Peyrard, Judith Eckle-Kohler
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk et al.
Supervising Neural Attention Models for Video Captioning by Human Gaze Data
Youngjae Yu, Jongwook Choi, Yeonhwa Kim et al.
SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
Simone Papandrea, Alessandro Raganato, Claudio Delli Bovi
Surface Motion Capture Transfer With Gaussian Process Regression
Adnane Boukhayma, Jean-Sebastien Franco, Edmond Boyer
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
Ayan Sinha, Asim Unmesh, Qixing Huang et al.
Surprising properties of dropout in deep networks
David P. Helmbold, Philip M. Long
Surveillance Video Parsing With Single Frame Supervision
Si Liu, Changhu Wang, Ruihe Qian et al.
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer, Jason Yosinski et al.
SVD-Based Screening for the Graphical Lasso
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel et al.
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization
Yichi Xiao, Zhe Li, Tianbao Yang et al.
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim, Minjae Lee, Iksoo Choi et al.
Swift Logic for Big Data and Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Andreas Pieris et al.