Papers
Negative Sampling Techniques in Dense Retrieval: A Survey
Laurin Wischounig, Abdelrahman Abdallah, Adam Jatowt
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
Yizhi Liu, Ruitao Pu, Shilin Xu et al.
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
Xijia Tang, Yuhua Qian, Chao Xu et al.
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning
Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov et al.
NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharing
Yunheon Lee, Juncheol Ye, Jaehong Kim et al.
NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation
Kunal Mahatha, Jose Dolz, Christian Desrosiers
Nested Depth Search
Junkang Li, Tristan Cazenave, Swann Legras et al.
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
Yingxu Wang, Mengzhu Wang, Zhichao Huang et al.
NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
Feng Liang, Weixin Zeng, Runhao Zhao et al.
Network-agnostic Distortion-robust Projections for Wide-angle Image Understanding
Akshaya Athwale, Ola Ahmad, Jean-Francois Lalonde
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)
Pirzada Suhail, Rehna Afroz Shaik, Gouranga Bala et al.
Network Restoration Games with Quotas (Student Abstract)
Philip Bogaars, Argyrios Deligkas, Eduard Eiben et al.
NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint)
Ruihua Han, Shuai Wang, Shuaijun Wang et al.
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series
Erfan Moeini, Christopher Vox, Marie Anastacio et al.
Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography
Yulu Wang, Ziqian Zeng, Jianjun Wu et al.
Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling
Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman et al.
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar et al.
Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning
Jinhee Park, Hee Bin Yoo, Minjun Kim et al.
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
Taotao Guo, Honglin Yuan, Xujian Zhao et al.
Neural Geometry Image-Based Representations with Optimal Transport (OT)
Xiang Gao, Yuanpeng Liu, Jiazhi Li et al.
Neural Graph Navigation for Intelligent Subgraph Matching
Yuchen Ying, Yiyang Dai, Wenda Li et al.
NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
Zhenyu Tang, Chaoran Feng, Xinhua Cheng et al.
Neural Machine Translation for French–Mooré: Adapting Large Language Models to Low-Resource Languages
Walker Stanislas Rocksane COMPAORE, Maimouna Ouattara, Rodrique Kafando et al.
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
Max Pellert, Clemens M Lechner, Indira Sen et al.
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
Yuan Gao, Hao Wu, Fan Xu et al.