Papers
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Wei Hu, Yangyu Huang, Fan Zhang et al.
Noisy BiLSTM-Based Models for Disfluency Detection
Nguyen Bach, Fei Huang
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Noisy Channel for Low Resource Grammatical Error Correction
Simon Flachs, Ophélie Lacroix, Anders Søgaard
Noisy Dual Principal Component Pursuit
Tianyu Ding, Zhihui Zhu, Tianjiao Ding et al.
Noisy Neural Language Modeling for Typing Prediction in BCI Communication
Rui Dong, David Smith, Shiran Dudy et al.
Noisy Parallel Corpus Filtering through Projected Word Embeddings
Murathan Kurfalı, Robert Östling
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors
Yedid Hoshen, Ke Li, Jitendra Malik
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
Belhal Karimi, Blazej Miasojedow, Eric Moulines et al.
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Than Huy Nguyen, Umut Simsekli, Gael Richard
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
Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He et al.
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He et al.
Non-Compensatory Psychological Models for Recommender Systems
Chen Lin, Xiaolin Shen, Si Chen et al.
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor et al.
Non-Convex Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan, Yingyu Liang, Zhao Song et al.
Nonconvex Matrix Factorization from Rank-One Measurements
Yuanxin Li, Cong Ma, Yuxin Chen et al.
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
Han Chen, Garvesh Raskutti, Ming Yuan
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
Oren Mangoubi, Nisheeth K Vishnoi
Nonconvex Variance Reduced Optimization with Arbitrary Sampling
Samuel Horváth, Peter Richtarik
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling et al.
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
Tao Sun, Penghang Yin, Dongsheng Li et al.