Papers
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
Haoyu Wang, Zhuo Huang, Zhiwei Lin et al.
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
Du Chen, Geoffrey A. Chua
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
Zhonghao Wang, Danyu Sun, Sheng Zhou et al.
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
Tri Nguyen, Shahana Ibrahim, Xiao Fu
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
Jiamian Hu, Yuanyuan Hong, Yihua Chen et al.
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
Tianyi Zhang, Jonah Yi, Bowen Yao et al.
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni et al.
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
Zhan Yu, Qiuhao Chen, Yuling Jiao et al.
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
Ruiquan Huang, Yingbin Liang, Jing Yang
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus et al.
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So et al.
Non-convolutional graph neural networks.
Yuanqing Wang, Kyunghyun Cho
Non-Euclidean Mixture Model for Social Network Embedding
Roshni G. Iyer, Yewen Wang, Wei Wang et al.
Non-geodesically-convex optimization in the Wasserstein space
Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams et al.
Nonlinear dynamics of localization in neural receptive fields
Leon Lufkin, Andrew Saxe, Erin Grant
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
Yue Yu, Ning Liu, Fei Lu et al.
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
Zixuan Zhang, Kaiqi Zhang, Minshuo Chen et al.
Nonparametric Evaluation of Noisy ICA Solutions
Syamantak Kumar, Purnamrita Sarkar, Peter Bickel et al.
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri R. Fonseca, Caio F. L. Peixoto, Yuri F. Saporito
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov, Michalis K. Titsias, András György et al.
Nonstationary Sparse Spectral Permanental Process
Zicheng Sun, Yixuan Zhang, Zenan Ling et al.
No-Regret Bandit Exploration based on Soft Tree Ensemble Model
Shogo Iwazaki, Shinya Suzumura
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo