Papers
176,624 papers found
DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation
Tianyi Yan, Dongming Wu, Wencheng Han et al.
Driving View Synthesis on Free-form Trajectories with Generative Prior
Zeyu Yang, Zijie Pan, Yuankun Yang et al.
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
Yongkang Xiao, Sinian Zhang, Yi Dai et al.
DRM Revisited: A Complete Error Analysis
Yuling Jiao, Ruoxuan Li, Peiying Wu et al.
DRO: Doppler-Aware Direct Radar Odometry with Gyroscope
Cedric Le Gentil, Leonardo Brizi, Daniil Lisus et al.
Droid: A Resource Suite for AI-Generated Code Detection
Daniil Orel, Indraneil Paul, Iryna Gurevych et al.
DroidCall: A Dataset for LLM-powered Android Intent Invocation
Weikai Xie, Li Zhang, Shihe Wang et al.
DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery
Jiadong Tang, Yu Gao, Dianyi Yang et al.
Drop Dropout on Single Epoch Language Model Pretraining
Houjun Liu, John Bauer, Christopher D Manning
DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting
Hyunwoo Park, Gun Ryu, Wonjun Kim
DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation
Runze Zhang, Guoguang Du, Xiaochuan Li et al.
Dropout Connects Transformers and CNNs: Transfer General Knowledge for Knowledge Distillation
Bokyeung Lee, Jonghwan Hong, Hyunuk Shin et al.
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
Yexing Xu, Longguang Wang, Minglin Chen et al.
Dropout the High-Rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
Chen Wu, Ling Wang, Long Peng et al.
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng et al.
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.
DroughtSet: Understanding Drought Through Spatial-Temporal Learning
Xuwei Tan, Qian Zhao, Yanlan Liu et al.
DROWN: Towards Tighter LiRPA-based Robustness Certification
Yunruo Zhang, Tianyu Du, Shouling Ji et al.
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
Hexuan Deng, Wenxiang Jiao, Xuebo Liu et al.
DRS: Deep Question Reformulation With Structured Output
Zhecheng Li, Yiwei Wang, Bryan Hooi et al.
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration
Kim Jun-Seong, GeonU Kim, Kim Yu-Ji et al.
DRT: Deep Reasoning Translation via Long Chain-of-Thought
Jiaan Wang, Fandong Meng, Yunlong Liang et al.
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Yiliang Chen, Steven SC Ho, Cheng Xu et al.
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
Jin Han, Yun Hong, Wu-Jun Li
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models
Ellen Yi-Ge, Jiechao Gao, Wei Han et al.