Papers
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
Tingting Yuan, Hwei-Ming Chung, Jie Yuan et al.
Dagster: Parallel Structured Search
Mark Alexander Burgess, Charles Gretton, Josh Milthorpe et al.
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
Qishi Dong, Fengwei Zhou, Ning Kang et al.
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images
Yuze He, Yubin Hu, Wang Zhao et al.
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
Hongchang Zhang, Jianzhun Shao, Shuncheng He et al.
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
Binjie Zhang, Shupeng Su, Yixiao Ge et al.
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization
Tonmoy Dey, Yixin Chen, Alan Kuhnle
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
Julian Lee, Kamal Viswanath, Alisha Sharma et al.
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Guanyi Qin, Runze Hu, Yutao Liu et al.
Data Imputation with Iterative Graph Reconstruction
Jiajun Zhong, Ning Gui, Weiwei Ye
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions
Anastasia Zhdanovskaya, Daria Baidakova, Dmitry Ustalov
Daycare Matching in Japan: Transfers and Siblings
Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki et al.
DC-Former: Diverse and Compact Transformer for Person Re-identification
Wen Li, Cheng Zou, Meng Wang et al.
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking
Chang Liu, Jie Zhang, Han Fang et al.
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization
Beier Zhu, Yulei Niu, Saeil Lee et al.
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection
Kuo Wang, Jingyu Zhuang, Guanbin Li et al.
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
Yuzhou Mao, Liu Yu, Yi Yang et al.
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Xidong Wu, Zhengmian Hu, Heng Huang
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Guojun Xiong, Jian Li
Decision-Making Context Interaction Network for Click-Through Rate Prediction
Xiang Li, Shuwei Chen, Jian Dong et al.
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Zhaoxing Yang, Haiming Jin, Rong Ding et al.
Deconstructed Generation-Based Zero-Shot Model
Dubing Chen, Yuming Shen, Haofeng Zhang et al.
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan, Yan Bai, Yihang Lou et al.
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)
Chao Chen, Dawei Wang, Feng Mao et al.
Deep Attentive Model for Knowledge Tracing
Xinping Wang, Liangyu Chen, Min Zhang