Papers
Neural networks grown and self-organized by noise
Guruprasad Raghavan, Matt Thomson
Neural Networks with Cheap Differential Operators
Ricky T. Q. Chen, David K. Duvenaud
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet, Erica Weng, Tomás Lozano-Pérez et al.
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time
Karlis Freivalds, Emīls Ozoliņš, Agris Šostaks
Neural Similarity Learning
Weiyang Liu, Zhen Liu, James M. Rehg et al.
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity
Aria Wang, Michael Tarr, Leila Wehbe
Neural Temporal-Difference Learning Converges to Global Optima
Qi Cai, Zhuoran Yang, Jason Lee et al.
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy
Boyi Liu, Qi Cai, Zhuoran Yang et al.
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
Ruibo Tu, Kun Zhang, Bo Bertilson et al.
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang et al.
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu, Mehmet F Demirel, Yingyu Liang
Noise-tolerant fair classification
Alex Lamy, Ziyuan Zhong, Aditya K Menon et al.
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Yi Xu, Rong Jin, Tianbao Yang
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz, Kevin G. Jamieson
Non-Asymptotic Pure Exploration by Solving Games
Rémy Degenne, Wouter M. Koolen, Pierre Ménard
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor et al.
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling et al.
Nonlinear scaling of resource allocation in sensory bottlenecks
Laura Rose Edmondson, Alejandro Jimenez Rodriguez, Hannes P. Saal
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel et al.
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
Nirandika Wanigasekara, Christina Yu
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal, Shashank Singh, Barnabas Poczos
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu, Milos Hauskrecht
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
Erwan Lecarpentier, Emmanuel Rachelson
Nonstochastic Multiarmed Bandits with Unrestricted Delays
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonzero-sum Adversarial Hypothesis Testing Games
Sarath Yasodharan, Patrick Loiseau