Papers
Navigating the Effect of Parametrization for Dimensionality Reduction
Haiyang Huang, Yingfan Wang, Cynthia Rudin
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein, Carsten Lüth, Udo Schlegel et al.
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
Sheng Yun Peng, Pin-Yu Chen, Matthew Hull et al.
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Daniel Dauner, Marcel Hallgarten, Tianyu Li et al.
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Minghan Li, Xilun Chen, Ari Holtzman et al.
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee, Min-hwan Oh
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
Artin Tajdini, Lalit Jain, Kevin Jamieson
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
Noah Amsel, Tyler Chen, Anne Greenbaum et al.
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
Mark Rowland, Li Kevin Wenliang, Rémi Munos et al.
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou, Haishan Ye, Luo Luo
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
Pierre Clavier, Laixi Shi, Erwan Le Pennec et al.
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Near-Optimality of Contrastive Divergence Algorithms
Pierre Glaser, Kevin Han Huang, Arthur Gretton
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal et al.
Needle In A Multimodal Haystack
Weiyun Wang, Shuibo Zhang, Yiming Ren et al.
Neglected Hessian component explains mysteries in sharpness regularization
Yann N. Dauphin, Atish Agarwala, Hossein Mobahi
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija, Lenart Treven, Florian Dörfler et al.
Nesterov acceleration despite very noisy gradients
Kanan Gupta, Jonathan W. Siegel, Stephan Wojtowytsch
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
Momin Haider, Ming Yin, Menglei Zhang et al.
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
Chengyuan Deng, Jie Gao, Kevin Lu et al.
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
Junyi Cao, Shanyan Guan, Yanhao Ge et al.
Neur2BiLO: Neural Bilevel Optimization
Justin Dumouchelle, Esther Julien, Jannis Kurtz et al.
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
Ziyi Wu, Yulia Rubanova, Rishabh Kabra et al.