Papers
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
Xinwei Zhang, Zhiqi Bu, Mingyi Hong et al.
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim, Byungkun Lee, Hojoon Lee et al.
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
Kevin Yu, Jihye Roh, Ziang Li et al.
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation
Yunlu Chen, Francisco Vicente Carrasco, Christian Häne et al.
Doubly Mild Generalization for Offline Reinforcement Learning
Yixiu Mao, Qi Wang, Yun Qu et al.
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
Xiao Yu, Yuang Qi, Kejiang Chen et al.
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
Yingjun Shen, Haizhao Dai, Qihe Chen et al.
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
Zeyu Wang, Xiyuxing Zhang, Ruotong Yu et al.
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Yuang Ai, Xiaoqiang Zhou, Huaibo Huang et al.
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
Zhiqi Li, Yiming Chen, Peidong Liu
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli, David Schnurr, Noah Hollmann et al.
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
Xiaodi Li, Zongxin Yang, Ruijie Quan et al.
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Mohamed Elrefaie, Florin Morar, Angela Dai et al.
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
Yuqi Wang, Ke Cheng, Jiawei He et al.
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen et al.
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo, Baesung Park, Byeongwook Kim et al.
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang, Lu Li, Shuyan Wan et al.
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
Jiasheng Zhang, Jialin Chen, Menglin Yang et al.
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang, Dong-Young Lim
Dual Critic Reinforcement Learning under Partial Observability
Jinqiu Li, Enmin Zhao, Tong Wei et al.
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
Runhua Xu, Shiqi Gao, Chao Li et al.
Dual-Diffusion for Binocular 3D Human Pose Estimation
Xiaoyue Wan, Zhuo Chen, Bingzhi Duan et al.