Papers
8,127 papers found
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
Han Yan, Dongliang Chen, Guiyuan Jiang et al.
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis
Tianren Zhou, Zhenge Jia, Dongxiao Yu et al.
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen et al.
DiffFERV: Diffusion-based Facial Editing of Real Videos
Xiangyi Chen, Han Xue, Li Song
Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models
Jisheng Dang, Ligen Chen, Jingze Wu et al.
DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation
Heyuan Zheng, Yunji Liang, Lei Liu et al.
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection
Jianzhou Wang, Yirui Wu, Lixin Yuan et al.
Diffusion-aware Censored Gaussian Processes for Demand Modelling
Filipe Rodrigues
Diffusion Guided Propagation Augmentation for Popularity Prediction
Chaozhuo Li, Tianqi Yang, Litian Zhang et al.
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement
Xiaoqiang Teng, Chenyang Li, Shibiao Xu et al.
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
Tao Dai, Song Wang, Hang Guo et al.
Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction
Prabath Hetti Mudiyanselage, Ruwan Tennakoon, John Thangarajah et al.
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
Long Peng, Xin Di, Zhanfeng Feng et al.
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator
Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul et al.
Disconfounding Fake News Video Explanation with Causal Inference
Lizhi Chen, Zhong Qian, Peifeng Li et al.
Discrete Budget Aggregation: Truthfulness and Proportionality
Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
Xuan Rao, Shuo Shang, Lisi Chen et al.
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
Kai Guo, Jiedong Wang, Xi Peng et al.
DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control
Haitao Wang, Hejun Wu
Distance Preservation Games
Haris Aziz, Hau Chan, Patrick Lederer et al.
Distilling A Universal Expert from Clustered Federated Learning
Zeqi Leng, Chunxu Zhang, Guodong Long et al.
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation
Xiaxin Wang, Haoyu Cai, Xiaobo Shen et al.
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
Chengxin Wang, Gary Tan, Swagato Barman Roy et al.
Diversity-Aware Reinforcement Learning for de novo Drug Design
Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al.