Papers
20,003 papers found
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
Mingyang Chen, Jiawei Du, Bo Huang et al.
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation
Shulei Ji, Zihao Wang, Jiaxing Yu et al.
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
Jiang Zhu, Yulin Jin, Qingqing Ye et al.
DigimonGPT: An Evolvable Agent with Hierarchical Human-like Memory for Video Question Answering
Borui Li, Xingcai Zhang, Tianen Liu et al.
Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset
Frederik Rajiv Manichand, Robin Deuber, Robert Jakob et al.
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
Mostofa Rafid Uddin, Jana Armouti, Umong Sain et al.
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
Fan Zhang, Jinpeng Chen, Tao Wang et al.
Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human–AI Collaboration
Ye Zhang, Jinlong He, Dongjie Wang et al.
DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning
Jirong Zha, Yuxuan Fan, Kai Li et al.
DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling
Zihao Yao, Jiankai Zuo, Yaying Zhang
DIN: Dual Impulse Network for Multi-view Representation Learning
Yilin Wu, Weihong Lin, Renjie Lin et al.
DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract)
Zhenyu Yu, Mohd Yamani Idna Idris, Pei Wang et al.
DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video
Jeonghaeng Lee, Seok Keun Choi, Zhixuan Li et al.
Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction
Weikang He, Yunpeng Xiao, Mengyang Huang et al.
Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer
Yongkai Liao, Xinxing Chen, Zhongzheng Fu et al.
DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
Yu-sheng Li, Xincen Duan, Beili Wang et al.
DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning
Nakamasa Inoue, Kanoko Goto, Masanari Oi et al.
DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training
Chao Ouyang, Yuyang Bai, Jun Zhang et al.
Discounted Cuts: A Stackelberg Approach to Network Disruption
Pål Grønås Drange, Fedor Fomin, Petr A. Golovach et al.
Discovering Decoupled Functional Modules in Large Language Models
Yanke Yu, Jin Li, Ying Sun et al.
Discovering Hybrid World Representations with Co-Evolving Foundation Models
Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu et al.
Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs
Jinpeng Li, Hang Yu, Ziqi Ma et al.
Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract)
Matteo Ceriscioli, Shohei Shimizu, Karthika Mohan
Discovering Mixture Skills for Unsupervised Reinforcement Learning
Nelson Ma, Junyu Xuan, Guangquan Zhang et al.
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design
Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal et al.