Papers
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes
Chenbo Jiang, Jie Yang, Shwai He et al.
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
Xinquan Huang, Wenlei Shi, Qi Meng et al.
Neural Status Registers
Lukas Faber, Roger Wattenhofer
Neural Stochastic Differential Games for Time-series Analysis
Sungwoo Park, Byoungwoo Park, Moontae Lee et al.
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra et al.
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
David Lovell, Dimity Miller, Jaiden Capra et al.
New metrics and search algorithms for weighted causal DAGs
Davin Choo, Kirankumar Shiragur
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
Tong Zhou, Yukui Luo, Shaolei Ren et al.
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Qiyu Kang, Kai Zhao, Yang Song et al.
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
Lifeng Shen, James Kwok
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
Christian H.X. Ali Mehmeti-Göpel, Jan Disselhoff
Nonlinear Causal Discovery with Latent Confounders
David Kaltenpoth, Jilles Vreeken
Nonparametric Density Estimation under Distribution Drift
Alessio Mazzetto, Eli Upfal
Nonparametric Extensions of Randomized Response for Private Confidence Sets
Ian Waudby-Smith, Steven Wu, Aaditya Ramdas
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du, Tianbo Li, Tianyu Pang et al.
Nonparametric Iterative Machine Teaching
Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
Non-stationary Reinforcement Learning under General Function Approximation
Songtao Feng, Ming Yin, Ruiquan Huang et al.
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Feilong Zhang, Xianming Liu, Shiyi Lin et al.
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan et al.
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu et al.
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
Tianxin Wei, Zeming Guo, Yifan Chen et al.