Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
Know, Grow, Protect: Using ML for Asset Protection by preventing Overdraft Fees
Avishek Kumar, Tyson Silver
Know in $AdVance:$ Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest
Xiaoyu Wang, Yonghui Guo, Hui Sheng, Peili Lv, Chi Zhou, Wei Huang, Shiqin Ta, Dongbo Huang, Xiujin Yang, Lan Xu, Hao Zhou, Yusheng Ji
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs
Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu
Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks
Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong
Joint Auction in the Online Advertising Market
Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang
Iterative Weak Learnability and Multi-Class AdaBoost
In-Koo Cho, Jonathan A. Libgober, Cheng Ding
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective
Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks
Zizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang, Feng Zhou
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Intelligent Agents with LLM-based Process Automation
Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang
Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction
Yang Luo, Mohan Gao, Zhemeng Yu, Haoyuan Ge, Xiaofeng Gao, Tengwei Cai, Guihai Chen
Influence Maximization via Graph Neural Bandits
Yuting Feng, Vincent TAN, Bogdan Cautis
Inductive Modeling for Realtime Cold Start Recommendations
Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong
InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising
Xujia Li, Jingshu Peng, Lei Chen
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu