Papers
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin et al.
NL2LTL – a Python Package for Converting Natural Language (NL) Instructions to Linear Temporal Logic (LTL) Formulas
Francesco Fuggitti, Tathagata Chakraborti
NLIP: Noise-Robust Language-Image Pre-training
Runhui Huang, Yanxin Long, Jianhua Han et al.
Noise Based Deepfake Detection via Multi-Head Relative-Interaction
Tianyi Wang, Kam Pui Chow
Non-exponential Reward Discounting in Reinforcement Learning
Raja Farrukh Ali
Non-IID Transfer Learning on Graphs
Jun Wu, Jingrui He, Elizabeth Ainsworth
Non-reversible Parallel Tempering for Deep Posterior Approximation
Wei Deng, Qian Zhang, Qi Feng et al.
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design
Yuhao Ding, Ming Jin, Javad Lavaei
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
Lucas Berry, David Meger
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
Yejin Lee, Donghyun Lee, JungUk Hong et al.
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
Zexue He, An Yan, Amilcare Gentili et al.
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
Mengyuan Liu, Fanyang Meng, Chen Chen et al.
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
Ehsan Mokhtarian, Mohmmadsadegh Khorasani, Jalal Etesami et al.
Now We’re Talking: Better Deliberation Groups through Submodular Optimization
Jake Barrett, Kobi Gal, Paul Gölz et al.
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
Haoran Luo, Haihong E, Yuhao Yang et al.
NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques
Yi Chu, Shaowei Cai, Chuan Luo
Occupancy Planes for Single-View RGB-D Human Reconstruction
Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren et al.
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement
Mingyue Cui, Junhua Long, Mingjian Feng et al.
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data
Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang et al.
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
Lantao Yu, Tianhe Yu, Jiaming Song et al.
Offline Quantum Reinforcement Learning in a Conservative Manner
Zhihao Cheng, Kaining Zhang, Li Shen et al.
Off-Policy Proximal Policy Optimization
Wenjia Meng, Qian Zheng, Gang Pan et al.
OMPQ: Orthogonal Mixed Precision Quantization
Yuexiao Ma, Taisong Jin, Xiawu Zheng et al.
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract)
Lei Li, Xiang Chen, Shuofei Qiao et al.