Papers
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
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
Jinwoo Bae, Sungho Moon, Sunghoon Im
Deep Equilibrium Models for Snapshot Compressive Imaging
Yaping Zhao, Siming Zheng, Xin Yuan
Deepfake Video Detection via Facial Action Dependencies Estimation
Lingfeng Tan, Yunhong Wang, Junfu Wang et al.
DeepGemini: Verifying Dependency Fairness for Deep Neural Network
Xuan Xie, Fuyuan Zhang, Xinwen Hu et al.
Deep Graph Structural Infomax
Wenting Zhao, Gongping Xu, Zhen Cui et al.
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
Shiqi Gong, Peiyan Hu, Qi Meng et al.
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido et al.
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching
Keke Tang, Jianpeng Wu, Weilong Peng et al.