Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, P. N. Suganthan, Xudong Jiang, Savitha Ramasamy
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
Chromosomal Structural Abnormality Diagnosis by Homologous Similarity
Juren Li, Fanzhe Fu, Ran Wei, Yifei Sun, Zeyu Lai, Ning Song, Xin Chen, Yang Yang
Choosing a Proxy Metric from Past Experiments
Nilesh Tripuraneni, Lee Richardson, Alexander D’Amour, Jacopo Soriano, Steve Yadlowsky
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
Liang-bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, sushant kumar, kannan achan
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range
HUAQING SHAO, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan
Causal Subgraph Learning for Generalizable Inductive Relation Prediction
Mei Li, xiaoguang Liu, Hua Ji, Shuangjia Zheng
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US
Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou
Can a Deep Learning Model be a Sure Bet for Tabular Prediction?
Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Chen, Jian Wu, Jimeng Sun
Can Modifying Data Address Graph Domain Adaptation?
Renhong Huang, Jiarong Xu, Xin Jiang, Ruichuan An, Yang Yang
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift
Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
CONFIDE: Contextual Finite Difference Modelling of PDEs
Ori Linial, Orly Avner, Dotan Di Castro
COMET: NFT Price Prediction with Wallet Profiling
Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation
Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
CAT: Interpretable Concept-based Taylor Additive Models
Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang Luo, Eric Zavesky, Huaxiu Yao, Huajie Shao
CASH via Optimal Diversity for Ensemble Learning
Pranav Poduval, Sanjay Patnala, Gaurav Oberoi, Nitish Kumar, Siddhartha Asthana