Papers
Neutralizing Self-Selection Bias in Sampling for Sortition
Bailey Flanigan, Paul Gölz, Anupam Gupta et al.
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
Woosuk Kwon, Gyeong-In Yu, Eunji Jeong et al.
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
Lin Lan, Pinghui Wang, Xuefeng Du et al.
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos et al.
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
Noise-Contrastive Estimation for Multivariate Point Processes
Hongyuan Mei, Tom Wan, Jason Eisner
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola, Paul Hand, Vlad Voroninski
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos et al.
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel Palomar
Non-Crossing Quantile Regression for Distributional Reinforcement Learning
Fan Zhou, Jianing Wang, Xingdong Feng
Non-Euclidean Universal Approximation
Anastasis Kratsios, Ievgen Bilokopytov
Non-parametric Models for Non-negative Functions
Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
Virginia Rutten, Alberto Bernacchia, Maneesh Sahani et al.
Non-Stochastic Control with Bandit Feedback
Paula Gradu, John Hallman, Elad Hazan
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas et al.
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Andrea Celli, Alberto Marchesi, Gabriele Farina et al.
No-regret Learning in Price Competitions under Consumer Reference Effects
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
Normalizing Kalman Filters for Multivariate Time Series Analysis
Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis et al.
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit Sohoni, Jared Dunnmon, Geoffrey Angus et al.
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren, Raymond Yeh, Alexander Schwing
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao, Vincent Francois-Lavet, Joelle Pineau
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
Julius Berner, Markus Dablander, Philipp Grohs
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
Object-Centric Learning with Slot Attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner et al.
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Prakashchand Gandhi, Abhinav Gupta et al.