Papers
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
Sabrina J. Mielke, Jason Eisner
SPGNet: Semantic Prediction Guidance for Scene Parsing
Bowen Cheng, Liang-Chieh Chen, Yunchao Wei et al.
Sphere Generative Adversarial Network Based on Geometric Moment Matching
Sung Woo Park, Junseok Kwon
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images
Yeonkun Lee, Jaeseok Jeong, Jongseob Yun et al.
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
Chengyu Wang, Xiaofeng He, Aoying Zhou
Spherical CNNs on Unstructured Grids
Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath et al.
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
Yongming Rao, Jiwen Lu, Jie Zhou
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
Spherical Text Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang et al.
SpHMC: Spectral Hamiltonian Monte Carlo
Haoyi Xiong, Kafeng Wang, Jiang Bian et al.
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
Zhe Wang, Kaiyi Ji, Yi Zhou et al.
Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection
Amal Alabdulkarim, Tariq Alhindi
SPIGAN: Privileged Adversarial Learning from Simulation
Kuan-Hui Lee, German Ros, Jie Li et al.
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
Luca Ambrogioni, Patrick Ebel, Max Hinne et al.
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang, Peng Li
SPINE: Structural Identity Preserved Inductive Network Embedding
Junliang Guo, Linli Xu, Jingchang Liu
SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English Learners
Chiranjeevi Yarra, Aparna Srinivasan, Sravani Gottimukkala et al.
Splash: Speech and Language Assessment in Schools and Homes
A. Miwardelli, I. Gallagher, J. Gibson et al.
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks
Qian Zheng, Yiming Jia, Boxin Shi et al.
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
Daniel Gordon, Abhishek Kadian, Devi Parikh et al.
Split or Merge: Which is Better for Unsupervised RST Parsing?
Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura et al.
Split or Merge: Which is Better for Unsupervised RST Parsing?
Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura et al.
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
Splitting Steepest Descent for Growing Neural Architectures
Lemeng Wu, Dilin Wang, Qiang Liu
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
Guangting Wang, Chong Luo, Zhiwei Xiong et al.