Papers
Itero: An Online Iterative Voting Application
Joseph Boudou, Rachael Colley, Umberto Grandi
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment
Justin Payan, Yair Zick
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi et al.
Knowledge-Based News Event Analysis and Forecasting Toolkit
Oktie Hassanzadeh, Parul Awasthy, Ken Barker et al.
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping
Gaofeng Cao, Fei Zhou, Han Yan et al.
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction
Hu Wang, Mao Ye, Xiatian Zhu et al.
Landmark Heuristics for Lifted Classical Planning
Julia Wichlacz, Daniel Höller, Jörg Hoffmann
Language Models as Knowledge Embeddings
Xintao Wang, Qianyu He, Jiaqing Liang et al.
Large Neighborhood Search with Decision Diagrams
Xavier Gillard, Pierre Schaus
Large Neighbourhood Search for Anytime MaxSAT Solving
Randy Hickey, Fahiem Bacchus
Learnability of Competitive Threshold Models
Yifan Wang, Guangmo Tong
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
Feiyang Pan, Tongzhe Zhang, Ling Luo et al.
Learning and Exploiting Progress States in Greedy Best-First Search
Patrick Ferber, Liat Cohen, Jendrik Seipp et al.
Learning by Interpreting
Xuting Tang, Abdul Rafae Khan, Shusen Wang et al.
Learning Cluster Causal Diagrams: An Information-Theoretic Approach
Xueyan Niu, Xiaoyun Li, Ping Li
Learning Coated Adversarial Camouflages for Object Detectors
Yexin Duan, Jialin Chen, Xingyu Zhou et al.
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks
Minyang Hu, Hong Chang, Bingpeng Ma et al.
Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness
Levi H.S. Lelis, João G.G.V. Nova, Eugene Chen et al.
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution
Qian Ning, Jingzhu Tang, Fangfang Wu et al.
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al.
Learning First-Order Rules with Differentiable Logic Program Semantics
Kun Gao, Katsumi Inoue, Yongzhi Cao et al.
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
Jin Li, Zhong Ji, Gang Wang et al.
Learning General Gaussian Mixture Model with Integral Cosine Similarity
Guanglin Li, Bin Li, Changsheng Chen et al.
Learning Graph-based Residual Aggregation Network for Group Activity Recognition
Wei Li, Tianzhao Yang, Xiao Wu et al.