Papers
Near-Feasible Stable Matchings with Budget Constraints
Yasushi Kawase, Atsushi Iwasaki
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler, Jonathan Niles-Weed, Philippe Rigollet
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
Lijie Chen, Jian Li, Mingda Qiao
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Nearly Optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration
Lijie Chen, Anupam Gupta, Jian Li et al.
Nearly-tight VC-dimension bounds for piecewise linear neural networks
Nick Harvey, Christopher Liaw, Abbas Mehrabian
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
Yasin Abbasi Yadkori, Peter L Bartlett, Victor Gabillon
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
Yuxin Chen, Hamed Hassani, Andreas Krause
Near-Optimal Design of Experiments via Regret Minimization
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh et al.
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa et al.
Near Optimal Sketching of Low-Rank Tensor Regression
Xingguo Li, Jarvis Haupt, David Woodruff
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang et al.
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
Dmitry Ustalov, Nikolay Arefyev, Chris Biemann et al.
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho et al.
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
WenLi Zhuang, Ernie Chang
Neoveille, a Web Platform for Neologism Tracking
Emmanuel Cartier
Nested LSTMs
Joel Ruben Antony Moniz, David Krueger
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi, Afshin Abdi, Nam Nguyen et al.
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau, Bolei Zhou, Aditya Khosla et al.
Networked Fairness in Cake Cutting
Xiaohui Bei, Youming Qiao, Shengyu Zhang
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo, Anbang Yao, Hao Zhao et al.
Neural Aggregation Network for Video Face Recognition
Jiaolong Yang, Peiran Ren, Dongqing Zhang et al.
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar et al.