Papers
Connect Multi-Agent Path Finding: Generation and Visualization
Arthur Queffelec, Ocan Sankur, Francois Schwarzentruber
Consistent Inference for Dialogue Relation Extraction
Xinwei Long, Shuzi Niu, Yucheng Li
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou et al.
Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai et al.
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti et al.
Contrastive Model Invertion for Data-Free Knolwedge Distillation
Gongfan Fang, Jie Song, Xinchao Wang et al.
Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)
Marco Morik, Ashudeep Singh, Jessica Hong et al.
Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
Saar Cohen, Noa Agmon
ConvLogMiner: A Real-Time Conversational Lifelog Miner
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang et al.
Cooperation in Threshold Public Projects with Binary Actions
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong et al.
Correlation-Guided Representation for Multi-Label Text Classification
Qian-Wen Zhang, Ximing Zhang, Zhao Yan et al.
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR
Anton Korikov, Alexander Shleyfman, J. Christopher Beck
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella Atkins, Matthew Johnson-Roberson et al.
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Haoqing Wang, Zhi-Hong Deng
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen et al.
Cross-Domain Slot Filling as Machine Reading Comprehension
Mengshi Yu, Jian Liu, Yufeng Chen et al.
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
Chengshuai Zhao, Shuai Liu, Feng Huang et al.
CuCo: Graph Representation with Curriculum Contrastive Learning
Guanyi Chu, Xiao Wang, Chuan Shi et al.
Custom-Design of FDR Encodings: The Case of Red-Black Planning
Daniel Fišer, Daniel Gnad, Michael Katz et al.
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
Theresa Eimer, André Biedenkapp, Maximilian Reimer et al.
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Li Tang, Tong Chen et al.
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson