Papers
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.
Learning Higher-Order Logic Programs From Failures
Stanisław J. Purgał, David M. Cerna, Cezary Kaliszyk
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan et al.
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
Yunhao Zhang, Junchi Yan, Xiaolu Zhang et al.
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences
Zhibing Zhao, Ao Liu, Lirong Xia
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie et al.
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan et al.