Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei Wang, Qi Liu, Enhong Chen, Charles Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Poster
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park
Oral
Prior-Free Mechanisms with Welfare Estimates
Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang
Poster
Causal Question Answering with Reinforcement Learning
Lukas Blübaum, Stefan Heindorf
Oral
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
Selahattin Akkas, Ariful Azad
Poster
Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs
Tianming Zhang, Yunjun Gao, Jie Zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao, Jing Fan
Oral
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates
Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis
Oral
Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties
Zhaohua Chen, Mingwei Yang, Chang Wang, Jicheng Li, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
Oral
Fact Embedding through Diffusion Model for Knowledge Graph Completion
Xiao Long, Liansheng Zhuang, Aodi Li, Houqiang Li, Shafei Wang
Poster
Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience
Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang
Oral
POLISH: Adaptive Online Cross-Modal Hashing for Class Incremental Data
Yu-Wei Zhan, Xin Luo, Zhen-Duo Chen, Yongxin Wang, Yinwei Wei, Xin-Shun Xu
Oral
Entity Disambiguation with Extreme Multi-label Ranking
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Oral
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie
Poster
AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention
Kiho Lee, Chaejin Lim, Beomjin Jin, Taeyoung Kim, Hyoungshick Kim
Poster
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
Poster
Global News Synchrony During the Start of the COVID-19 Pandemic
Xi Chen, Scott A Hale, David Jurgens, Mattia Samory, Ethan Zuckerman, Przemyslaw A. Grabowicz
Poster
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
Poster
NCTM: A Novel Coded Transmission Mechanism for Short Video Deliveries
Xu Zhenge, Qing Li, Wanxin Shi, Yong Jiang, Zhenhui Yuan, Peng Zhang, Gabriel Muntean
Poster
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
Oral
GNNs as Adapters for LLMs on Text-Attributed Graphs
Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
Poster