Papers
Multi-Scale Adaptive Network for Single Image Denoising
Yuanbiao Gou, Peng Hu, Jiancheng Lv et al.
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
Yongsen Mao, Yiming Zhang, Hanxiao Jiang et al.
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
Giannis Daras, Negin Raoof, Zoi Gkalitsiou et al.
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
Yijing Liu, Qinxian Liu, Jian-Wei Zhang et al.
Multiview Human Body Reconstruction from Uncalibrated Cameras
Zhixuan Yu, Linguang Zhang, Yuanlu Xu et al.
Multi-view Subspace Clustering on Topological Manifold
Shudong Huang, Hongjie Wu, Yazhou Ren et al.
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
Botao Yu, Peiling Lu, Rui Wang et al.
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
Jin-Hwa Kim, Yunji Kim, Jiyoung Lee et al.
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
REN WANG, Jiayue Wang, Tae Sung Kim et al.
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Nikolaus Howe, Simon Dufort-Labbé, Nitarshan Rajkumar et al.
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks
Renbo Tu, Nicholas Roberts, Misha Khodak et al.
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yijian Qin, Ziwei Zhang, Xin Wang et al.
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Arjun Krishnakumar, Colin White, Arber Zela et al.
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan, Qilong Zhang, Lianli Gao et al.
Natural gradient enables fast sampling in spiking neural networks
Paul Masset, Jacob Zavatone-Veth, J. Patrick Connor et al.
Natural image synthesis for the retina with variational information bottleneck representation
Babak Rahmani, Demetri Psaltis, Christophe Moser
NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck, Jiacheng Liu, Ximing Lu et al.
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu, Wang Zhu, Shaolei Ren
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching
Souhaib Attaiki, Maks Ovsjanikov
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He, Dongruo Zhou, Tong Zhang et al.
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs
Shinji Ito, Taira Tsuchiya, Junya Honda
Nearly-Tight Bounds for Testing Histogram Distributions
Clément L Canonne, Ilias Diakonikolas, Daniel Kane et al.
Near-Optimal Collaborative Learning in Bandits
Clémence Réda, Sattar Vakili, Emilie Kaufmann