Papers
Neural Reasoning for Sure Through Constructing Explainable Models
Tiansi Dong, Mateja Jamnik, Pietro Liò
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Huanxuan Liao, Shizhu He, Yao Xu et al.
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
Neural Variable-Order Fractional Differential Equation Networks
Wenjun Cui, Qiyu Kang, Xuhao Li et al.
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
Piotr Wyrwiński, Krzysztof Krawiec
Neuron Explanations for Conformal Prediction (Student Abstract)
Divya Lidder, Kathryn Morse, Bridget Sullivan et al.
Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment
Lukas-Santo Puglisi, Fabio Valdés, Jakob Johannes Metzger
Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields
David Debot, Gabriele Venturato, Giuseppe Marra et al.
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
Beibei Lin, Yeying Jin, Yan Wending et al.
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
Yuxuan Zhao, Weijian Ruan, He Li et al.
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
Xiaolong Xu, Yibo Zhou, Haolong Xiang et al.
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
Xin Yi, Shunfan Zheng, Linlin Wang et al.
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
Zhang Xiong, Cheng Xie, Haoran Duan et al.
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
Zikuan Li, Qiaoyun Wu, Jialin Zhang et al.
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
Chenglu Sun, Shuo Shen, Wenzhi Tao et al.
Noisy Correspondence Rectification via Asymmetric Similarity Learning
Yunbo Wang, YuJie Wu, Zhien Dai et al.
Noisy Label Calibration for Multi-View Classification
Shilin Xu, Yuan Sun, Xingfeng Li et al.
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
Yujing Liu, Zongqian Wu, Zhengyu Lu et al.
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Van Nguyen, James Michels, Hua Shen et al.
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.
Non-Convex Tensor Recovery from Local Measurements
Tongle Wu, Ying Sun, Jicong Fan
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
Xiang Liu, Hau Chan, Minming Li et al.
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song et al.