Papers
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
Wenbo Zhao, Xianming Liu, Junjun Jiang et al.
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
Yuan Yang, James C Kerce, Faramarz Fekri
Logic Rule Guided Attribution with Dynamic Ablation
Jianqiao An, Yuandu Lai, Yahong Han
Logit Perturbation
Mengyang Li, Fengguang Su, Ou Wu et al.
Longitudinal Fairness with Censorship
Wenbin Zhang, Jeremy C. Weiss
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen, Qiaoben Bao, Changzhi Sun et al.
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation
Alexis de Colnet, Stefan Mengel
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang et al.
Low-Pass Graph Convolutional Network for Recommendation
Wenhui Yu, Zixin Zhang, Zheng Qin
Ludus: An Optimization Framework to Balance Auto Battler Cards
Nathaniel Budijono, Phoebe Goldman, Jack Maloney et al.
LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition
Jiarui Cai, Yizhou Wang, Hung-Min Hsu et al.
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, See-Kiong Ng et al.
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
Lukas Graf, Tobias Harks, Kostas Kollias et al.
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
Ivan Donadello, Anthony Hunter, Stefano Teso et al.
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
Wenqiao Zhang, Haochen Shi, Jiannan Guo et al.
Making Adversarial Examples More Transferable and Indistinguishable
Junhua Zou, Yexin Duan, Boyu Li et al.
Making Translations to Classical Planning Competitive with Other HTN Planners
Gregor Behnke, Florian Pollitt, Daniel Höller et al.
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
Hubert Baniecki, Przemyslaw Biecek
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
Zefang Zong, Meng Zheng, Yong Li et al.
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
Jiaoyang Li, Zhe Chen, Daniel Harabor et al.
Market Design for Drone Traffic Management
Sven Seuken, Paul Friedrich, Ludwig Dierks
Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling
Shengqiong Wu, Hao Fei, Fei Li et al.
Matching Market Design with Constraints
Haris Aziz, Péter Biró, Makoto Yokoo
Maximizing Nash Social Welfare in 2-Value Instances
Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer et al.