Papers
Near-Optimal Machine Teaching via Explanatory Teaching Sets
Yuxin Chen, Oisin Mac Aodha, Shihan Su et al.
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
Yining Wang, Xi Chen, Yuan Zhou
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos et al.
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Aaron Sidford, Mengdi Wang, Xian Wu et al.
Near Real-Time Detection of Poachers from Drones in AirSim
Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey et al.
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
Nishant Desai, Andrew Critch, Stuart Russell
Negotiation Strategies for Agents with Ordinal Preferences
Sefi Erlich, Noam Hazon, Sarit Kraus
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović et al.
NEON2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu, Yuanzhi Li
NerveNet: Learning Structured Policy with Graph Neural Networks
Tingwu Wang, Renjie Liao, Jimmy Ba et al.
Nested CRP with Hawkes-Gaussian Processes
Xi Tan, Vinayak Rao, Jennifer Neville
Nested Named Entity Recognition Revisited
Arzoo Katiyar, Claire Cardie
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Net2Text: Query-Guided Summarization of Network Forwarding Behaviors
Rüdiger Birkner, Dana Drachsler-Cohen, Laurent Vanbever et al.
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks
Ruth Fong, Andrea Vedaldi
NetChain: Scale-Free Sub-RTT Coordination
Xin Jin, Xiaozhou Li, Haoyu Zhang et al.
NetComplete: Practical Network-Wide Configuration Synthesis with Autocompletion
Ahmed El-Hassany, Petar Tsankov, Laurent Vanbever et al.
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner et al.
Network Approximation using Tensor Sketching
Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
Network Global Testing by Counting Graphlets
Jiashun Jin, Zheng Ke, Shengming Luo
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
Pudi Chen, Shenghua Liu, Chuan Shi et al.
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan, Ying Xiao, Rif. A. Saurous
Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations
Nikos Athanasiou, Elias Iosif, Alexandros Potamianos