Papers
11,951 papers found
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
Kangwook Lee, Hoon Kim, Changho Suh
Simulating Action Dynamics with Neural Process Networks
Antoine Bosselut, Omer Levy, Ari Holtzman et al.
Size-Independent Sample Complexity of Neural Networks
Noah Golowich, Alexander Rakhlin, Ohad Shamir
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.
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theo Lim, J.M. Ritchie et al.
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
Sobolev GAN
Youssef Mroueh, Chun-Liang Li, Tom Sercu et al.
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
Feiwen Zhu, Jeff Pool, Michael Andersch et al.
Spatially Transformed Adversarial Examples
Chaowei Xiao, Jun-Yan Zhu, Bo Li et al.
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton, Henry Li et al.
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama et al.
Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Köhler et al.
Stabilizing Adversarial Nets with Prediction Methods
Abhay Yadav, Sohil Shah, Zheng Xu et al.
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton et al.
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik Chaudhari, Stefano Soatto
Stochastic Variational Video Prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan et al.
Stress Distribution of Given Information in Chinese Reading Texts
Yuan Jia, Xiaoxiao Ma
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Wenruo Bai, William Stafford Noble, Jeff A. Bilmes
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai, Yingtao Tian, Bo Dai et al.
Synthesis of Controllable Nash Equilibria in Quantitative Objective Game
Shaull Almagor, Orna Kupferman, Giuseppe Perelli
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
Manuel Molano-Mazon, Arno Onken, Eugenio Piasini* et al.
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun et al.
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr Pong*, Shixiang Gu*, Murtaza Dalal et al.