AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Raphael Fischer, Amal Saadallah
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
AutoWebGLM: A Large Language Model-based Web Navigating Agent
Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
Auctions with LLM Summaries
Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
Lorenz Kummer, Samir Moustafa, Sebastian Schrittwieser, Wilfried Gansterer, Nils Kriege
Asynchronous Vertical Federated Learning for Kernelized AUC Maximization
Ke Zhang, Ganyu Wang, Han Li, Yulong Wang, Hong Chen, Bin Gu
AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing
Yun Cheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization
Andrea Agiollo, Young In Kim, Rajiv Khanna
Approximate Matrix Multiplication over Sliding Windows
Ziqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen
AnyLoss: Transforming Classification Metrics into Loss Functions
Doheon Han, Nuno Moniz, Nitesh Chawla
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
An Efficient Subgraph GNN with Provable Substructure Counting Power
Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
An Efficient Local Search Algorithm for Large GD Advertising Inventory Allocation with Multilinear Constraints
Xiang He, Wuyang Mao, Zhenghang Xu, Yuanzhe Gu, Yundu Huang, Zhonglin Zu, Liang Wang, Mengyu Zhao, Mengchuan Zou
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
Advancing Molecule Invariant Representation via Privileged Substructure Identification
Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang