Papers
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
Roman Grundkiewicz, Marcin Junczys-Dowmunt
Nearly Optimal Robust Subspace Tracking
Praneeth Narayanamurthy, Namrata Vaswani
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
Yang Cao, Liyan Xie, Yao Xie et al.
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani, Shai Ben-David, Nicholas Harvey et al.
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection
Yulun Tian, Kasra Khosoussi, Matthew Giamou et al.
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
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
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang, Andrew Howard, Bo Chen et al.
NetChain: Scale-Free Sub-RTT Coordination
Xin Jin, Xiaozhou Li, Haoyu Zhang et al.