Papers
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability
Jonathan Zedaka, Elisha Halperin, Evgeny Blaichman et al.
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao et al.
Neural Oscillators are Universal
Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
Mingli Zhu, Shaokui Wei, Hongyuan Zha et al.
Neural Priming for Sample-Efficient Adaptation
Matthew Wallingford, Vivek Ramanujan, Alex Fang et al.
Neural Processes with Stability
Huafeng Liu, Liping Jing, Jian Yu
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Neural Sampling in Hierarchical Exponential-family Energy-based Models
Xingsi Dong, Si Wu
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
Shreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis
Neural (Tangent Kernel) Collapse
Mariia Seleznova, Dana Weitzner, Raja Giryes et al.
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
Robert Lange, Yujin Tang, Yingtao Tian
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang, Junhui Hou, Yohanes Adikusuma et al.
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Anwar Said, Roza Bayrak, Tyler Derr et al.
Neuro-symbolic Learning Yielding Logical Constraints
Zenan Li, Yunpeng Huang, Zhaoyu Li et al.
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
Maria-Florina F Balcan, Anh Nguyen, Dravyansh Sharma
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
Cornelius Brand, Robert Ganian, Mathis Rocton
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
Lingbing Guo, Weiqing Wang, Zhuo Chen et al.
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
Yao Ni, Piotr Koniusz
NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation
Wei Zheng, Cheng Peng, Zeyuan Hou et al.
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
Zixing Song, Yifei Zhang, Irwin King
Noether Embedding: Efficient Learning of Temporal Regularities
Chi Gao, Zidong Zhou, Luping Shi
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
Ruitu Xu, Yifei Min, Tianhao Wang
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Chih-Yu (Andrew) Lai, Fan-Keng Sun, Zhengqi Gao et al.
Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa, Blanka Horvath, Maud Lemercier et al.
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
Marc Jourdan, Rémy Degenne