Papers
184,605 papers found
DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency
Tianwei Ye, Yong Ma, Xiaoguang Mei
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
Huimin Cheng, Xiaowei Yu, Shushan Wu et al.
DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network
Maolei Huang, Zhuangzhuoran, Detao Lv et al.
DCSHARP: 3D Gaussian Splatting with Direction Cosine Spherical Harmonics and Shape-Aware Pruning
Ahmed Hasssan, Jian Meng, Yuanbo Xiangli et al.
DCSN-NLP at MWE-2026 AdMIRe 2: Bridging Literal and Figurative Meaning Through Hierarchical Multimodal Reasoning
David Cotigă, Sergiu Nisioi
DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering
Jingyi Chen, Zhibin Dong, Tiejun Li et al.
DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency
Tengfei Xiao, Yue Wu, Zhigang Gao et al.
DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
Jaewoo Song, Jooyoung Choi, Kanghyun Baek et al.
DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation
Yukun Cao, Zirui Xu, Dongyang Li et al.
DDIN: Reinforcement Learning with Asymmetric GNNs for Dismantling Directed Interdependent Networks (Student Abstract)
Soumyajit Dev, Malay Bhattacharyya
Dealing with the Hard Facts of Low-Resource African NLP
Michael Leventhal, Yacouba Diarra, Nouhoum Coulibaly et al.
Debate, Deliberate, Decide (D3): A Cost-Aware Adversarial Framework for Reliable and Interpretable LLM Evaluation
Abir Harrasse, Chaithanya Bandi, Hari Bandi
“Debate Guru”: Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems
Zachary Nadan, Nathan Goldberg, Roozbeh Aliabadi et al.
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering
Jilong Liu, Pengyang Shao, Wei Qin et al.
DebateQA: Evaluating Question Answering on Debatable Knowledge
Rongwu Xu, Xuan Qi, Zehan Qi et al.
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
Shangshang Yang, Xuewen Duan, Xiaoshan Yu et al.
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua et al.
Debiased Multiplex Tokenizer for Efficient Map-Free Visual Relocalization
Wenshuai Wang, Hong Liu, Shengquan Li et al.
De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning
Chong Liu, Xun Jiang, Fumin Shen et al.
Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting
Shilong Jin, Haoran Duan, Litao Hua et al.
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
Bowen Li, Ziqi Xu, Jing Ren et al.
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis
Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen et al.
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
Hongxu Chen, Ke Wei, Luo Luo