Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xin Xie, Yiqiang Chen
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
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GLM-Dialog: Noise-tolerant Pre-Training for Knowledge-Grounded Dialogue Generation
Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction
Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
Fusing Multimodal Signals on Hyper-Complex Space for Extreme Abstractive Text Summarization of Scientific Contents
Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
From Labels to Decisions: A Mapping-Aware Annotator Model
Evan Yao, Jagdish Ramakrishnan, Xu Chen, Viet-An Nguyen, Udi Weinsberg
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams
Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell
Frigate: Frugal Spatio-temporal Forecasting on Road Networks
Mridul Gupta, HARIPRASAD KODAMANA, Sayan Ranu
Fresh Content Needs More Attention: Multi-Funnel Fresh Content Recommendation
Jianling Wang, Haokai Lu, Sai Zhang, Bart Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
Fragility Index: A New Approach for Binary Classification
Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan
Fire: An Optimization Approach for Fast Interpretable Rule Extraction
Brian Liu, Rahul Mazumder
Finding Favourite Tuples on Data Streams with Provably Few Comparisons
Guangyi Zhang, Nikolaj Tatti, Aristides Gionis
Financial Default Prediction via Motif-Preserving Graph Neural Network with Curriculum Learning
Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, JUN ZHOU
Few-Shot Low-Resource Knowledge Graph Completion with Multi-view Task Representation Generation
Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
Federated Few-Shot Learning
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis
Md Mahmudur Rahman, Sanjay Purushotham
FedMultimodal: A Benchmark for Multimodal Federated Learning
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedDefender: Client-Side Attack-Tolerant Federated Learning
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie