Papers
Skip Connections Eliminate Singularities
Emin Orhan, Xaq Pitkow
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Víctor Campos, Brendan Jou, Xavier Giró-i-Nieto et al.
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen et al.
SLAYER: Spike Layer Error Reassignment in Time
Sumit Bam Shrestha, Garrick Orchard
Sledgehammer: Cluster-Fueled Debugging
Andrew Quinn, Jason Flinn, Michael Cafarella
Sliced Recurrent Neural Networks
Zeping Yu, Gongshen Liu
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Slot Filling with Delexicalized Sentence Generation
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Chih-Wen Goo, Guang Gao, Yun-Kai Hsu et al.
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh et al.
Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees
Ola Rønning, Daniel Hardt, Anders Søgaard
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions
Chandrajit Bajaj, Tingran Gao, Zihang He et al.
Smaller Text Classifiers with Discriminative Cluster Embeddings
Mingda Chen, Kevin Gimpel
Small-loss bounds for online learning with partial information
Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Small Undecidable Problems in Epistemic Planning
Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels
Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal et al.
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theo Lim, J.M. Ritchie et al.
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Arman Cohan, Bart Desmet, Andrew Yates et al.
SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment
Sujeong Kim, David Salter, Luke DeLuccia et al.
Smooth and Sparse Optimal Transport
Mathieu Blondel, Vivien Seguy, Antoine Rolet
Smoothed Action Value Functions for Learning Gaussian Policies
Ofir Nachum, Mohammad Norouzi, George Tucker et al.
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain et al.
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
Nima Anari, Constantinos Daskalakis, Wolfgang Maass et al.
Smoothed analysis of the low-rank approach for smooth semidefinite programs
Thomas Pumir, Samy Jelassi, Nicolas Boumal