Papers
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang et al.
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Jongmin Lee, Joo Young Choi, Ernest K Ryu et al.
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Mariia Seleznova, Gitta Kutyniok
Neural Tangent Kernel Empowered Federated Learning
Kai Yue, Richeng Jin, Ryan Pilgrim et al.
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Hung Le, Svetha Venkatesh
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Shanyan Guan, Huayu Deng, Yunbo Wang et al.
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
Yaojie Hu, Jin Tian
Neuro-Symbolic Hierarchical Rule Induction
Claire Glanois, Zhaohui Jiang, Xuening Feng et al.
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon, Frank Xu, Junxian He et al.
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song et al.
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Mustafa B Gurbuz, Constantine Dovrolis
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao, Yanan Zheng, Xiaocong Yang et al.
NOMU: Neural Optimization-based Model Uncertainty
Jakob M Heiss, Jakob Weissteiner, Hanna S Wutte et al.
(Non-)Convergence Results for Predictive Coding Networks
Simon Frieder, Thomas Lukasiewicz
Nonlinear Feature Diffusion on Hypergraphs
Konstantin Prokopchik, Austin R Benson, Francesco Tudisco
Nonparametric Embeddings of Sparse High-Order Interaction Events
Zheng Wang, Yiming Xu, Conor Tillinghast et al.
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang, Shandian Zhe
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak, Fabian Zaiser, Luke Ong
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast, Zheng Wang, Shandian Zhe
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Felix Biggs, Benjamin Guedj
No-Regret Learning in Partially-Informed Auctions
Wenshuo Guo, Michael Jordan, Ellen Vitercik
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang, Peng Zhao, Haipeng Luo et al.
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Qingyang Tan, Zherong Pan, Breannan Smith et al.
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti et al.