Papers
8,340 papers found
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber et al.
MyoDex: A Generalizable Prior for Dexterous Manipulation
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Naive imputation implicitly regularizes high-dimensional linear models
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Ilias Diakonikolas, Daniel Kane, Ankit Pensia et al.
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di, Jiafan He, Dongruo Zhou et al.
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Jiafan He, Heyang Zhao, Dongruo Zhou et al.
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
Junfan Li, Shizhong Liao
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
Qixin Zhang, Wenbing Ye, Zaiyi Chen et al.
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
Steinar Laenen, Bogdan Adrian Manghiuc, He Sun
Nearly-tight Bounds for Deep Kernel Learning
Yifan Zhang, Min-Ling Zhang
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang, Nathan Kallus, Wen Sun
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games
Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
Hilal Asi, Vitaly Feldman, Tomer Koren et al.
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
Donghao Li, Ruiquan Huang, Cong Shen et al.
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
Ilias Diakonikolas, Daniel Kane, Lisheng Ren
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Yecheng Xue, Xiaoyu Chen, Tongyang Li et al.
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin et al.
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
Yonggan Fu, Ye Yuan, Souvik Kundu et al.
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
Junwen Yang, Yifan Feng
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel et al.
Network Effects in Performative Prediction Games
Xiaolu Wang, Chung-Yiu Yau, Hoi To Wai
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz et al.
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
Hien Dang, Tho Tran Huu, Stanley Osher et al.
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari, Alvin Heng, Andre Lim et al.