Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Road Planning for Slums via Deep Reinforcement Learning
Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force
Ritika Pandey, Jeremy Carter, James Hill, George Mohler
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Neural Retrieval on Accelerators
Jiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan, Fu Li, Xing Liu
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang
Removing Camouflage and Revealing Collusion: Leveraging Gang-Crime Pattern in Fraudster Detection
Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
Reducing Exposure to Harmful Content via Graph Rewiring
Corinna Coupette, Stefan Neumann, Aristides Gionis
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment
Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
Reconstructing Graph Diffusion History from a Single Snapshot
Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective
Teng Xiao, Zhengyu Chen, Suhang Wang
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
Real Time Index and Search Across Large Quantities of GNN Experts For Low Latency Online Learning
Johan Zhi Kang Kok, Sien Yi Tan, Bingsheng He, Zhen Zhang
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
Rapid Image Labeling via Neuro-Symbolic Learning
Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang
RankFormer: Listwise Learning-to-Rank using Listwide Labels
Paul Missault, Pierre-Antoine Sondag
Rank-heterogeneous Preference Models for School Choice
Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads
Penghui Wei, Yongqiang Chen, ShaoGuo Liu, Liang Wang, Bo Zheng
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang