AAAI Papers
5,317 papers found • Page 40 of 107
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Feilong Tang, Zhongxing Xu, Ming Hu et al.
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
Siqian Zhao, Sherry Sahebi
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
Chengyue Wang, Haicheng Liao, Bonan Wang et al.
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
Hongyu Yan, Yadong Mu
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
Rui Shi, Yishun Dou, Zhong Zheng et al.
Neural Collapse Inspired Knowledge Distillation
Shuoxi Zhang, Zijian Song, Kun He
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar, Carlee Joe-Wong
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
Arthur Bizzi, Lucas Nissenbaum, João M. Pereira
Neural Control and Certificate Repair via Runtime Monitoring
Emily Yu, Đorđe Žikelić, Thomas A. Henzinger
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
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.
New Compilation Languages Based on Restricted Weak Decomposability
Petr Illner
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.
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
Ji Shi, Xianghua Ying, Ruohao Guo et al.
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
Yangkun Chen, Kai Yang, Jian Tao et al.
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving
Xin Ma, Jiguang Zhang, Peng Lu et al.
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
Shaobo Cui, Junyou Li, Luca Mouchel et al.
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
Takashi Matsubara, Takaharu Yaguchi
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
Ziqi Zhou, Bowen Li, Yufei Song et al.
Numerical Pruning for Efficient Autoregressive Models
Xuan Shen, Zhao Song, Yufa Zhou et al.
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad et al.
OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow
Xiongfeng Peng, Zhihua Liu, Weiming Li et al.
Object-level Geometric Structure Preserving for Natural Image Stitching
Wenxiao Cai, Wankou Yang
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects
Qihang Cao, Huangxun Chen
Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution
Zeyu Xiao, Zhuoyuan Li, Wei Jia
Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation
Yuhui Deng, Yuqin Lu, Yangyang Xu et al.
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan et al.
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
Zongkai Liu, Qian Lin, Chao Yu et al.