Papers
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
Shangtong Gui, Chenze Shao, Zhengrui Ma et al.
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Sen Lin, Daouda Sow, Kaiyi Ji et al.
Nonparametric Boundary Geometry in Physics Informed Deep Learning
Scott Cameron, Arnu Pretorius, S Roberts
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen, Michel Besserve, Liang Wendong et al.
Nonparametric Teaching for Multiple Learners
Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
Non-Rigid Shape Registration via Deep Functional Maps Prior
Puhua Jiang, Mingze Sun, Ruqi Huang
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
Quanqi Hu, Dixian Zhu, Tianbao Yang
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf
Non-stationary Experimental Design under Linear Trends
David Simchi-Levi, Chonghuan Wang, Zeyu Zheng
No-regret Algorithms for Fair Resource Allocation
Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee et al.
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
Mengzi Amy Guo, Donghao Ying, Javad Lavaei et al.
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
Eric Neyman, Tim Roughgarden
No-Regret Online Prediction with Strategic Experts
Omid Sadeghi, Maryam Fazel
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Tiancheng Jin, Junyan Liu, Chloé Rouyer et al.
No Representation Rules Them All in Category Discovery
Sagar Vaze, Andrea Vedaldi, Andrew Zisserman
Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau, Emmanuel Moebel, Charles Kervrann
Normalization Layers Are All That Sharpness-Aware Minimization Needs
Maximilian Mueller, Tiffany Vlaar, David Rolnick et al.
Normalizing flow neural networks by JKO scheme
Chen Xu, Xiuyuan Cheng, Yao Xie
Norm-based Generalization Bounds for Sparse Neural Networks
Tomer Galanti, Mengjia Xu, Liane Galanti et al.
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan et al.
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato, Stefano Teso, Antonio Vergari et al.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
Yang Yang, Yuxuan Zhang, XIN SONG et al.
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour, Oscar Key, Piotr Nawrot et al.
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha, Dong Gong, He Zhao et al.
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Stefan Lionar, Xiangyu Xu, Min Lin et al.