Papers
Deep Fair Multi-View Clustering with Attention KAN
HaiMing Xu, Qianqian Wang, Boyue Wang et al.
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
Muhammad Sakib Khan Inan, Kewen Liao
Deep Fuzzy Multi-view Learning for Reliable Classification
Siyuan Duan, Yuan Sun, Dezhong Peng et al.
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng, Shan Huang, Jianyuan Zhong et al.
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Deep Generative Models: Complexity, Dimensionality, and Approximation
Kevin Wang, Hongqian Niu, Yixin Wang et al.
Deep Generative Quantile Bayes
Jungeum Kim, Percy S. Zhai, Veronika Rockova
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation
Utkarsh Nath, Rajeev Goel, Eun Som Jeon et al.
Deep Graph Online Hashing for Multi-Label Image Retrieval
Yuan Cao, Xiangru Chen, Zifan Liu et al.
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Yuxin Lin, Wei Wang, Xiaoling Luo et al.
Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang et al.
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
Jiaqi Jin, Siwei Wang, Zhibin Dong et al.
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
Xin Gao, Jian Pu
Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)
Tu Vo, Chan Y. Park
Deep Kernel Posterior Learning under Infinite Variance Prior Weights
Jorge Loria, Anindya Bhadra
Deep Kernel Relative Test for Machine-generated Text Detection
Yiliao Song, Zhenqiao Yuan, Shuhai Zhang et al.
Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System
Jie Zhao, Zifan Chen, Guangzhengao Yang et al.
DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
Ziyin Zeng, Mingyue Dong, Jian Zhou et al.
DeepLayout: Learning Neural Representations of Circuit Placement Layout
Yuxiang Zhao, Zhuomin Chai, Xun Jiang et al.
Deep Learning Alternatives Of The Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto, Paris Perdikaris
Deep Learning-based Alignment Measurement in Knee Radiographs
Zhisen Hu, Dominic Cullen, Peter Thompson et al.
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework
Vahid Mahzoon, Abigail Liu, Slobodan Vucetic
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang, Wenjie Du, Yiyuan Yang et al.
Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography
Elodie Ripaud, Clément Jailin, Pablo Milioni de Carvalho et al.