Papers
Clustering Interval-Censored Time-Series for Disease Phenotyping
Irene Y. Chen, Rahul G. Krishnan, David Sontag
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen et al.
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution
Bin Xia, Yapeng Tian, Yucheng Hang et al.
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu et al.
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
Bo Chen, Jing Zhang, Xiaokang Zhang et al.
Code Representation Learning Using Prüfer Sequences (Student Abstract)
Tenzin Jinpa, Yong Gao
Combating Adversaries with Anti-adversaries
Motasem Alfarra, Juan C. Perez, Ali Thabet et al.
Combating Collusion Rings Is Hard but Possible
Niclas Boehmer, Robert Bredereck, André Nichterlein
Combating Sampling Bias: A Self-Training Method in Credit Risk Models
Jingxian Liao, Wei Wang, Jason Xue et al.
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
Prajjwal Bhargava, Vincent Ng
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
Lukáš Chrpa, Pavel Rytíř, Rostislav Horčík et al.
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations
Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis
Compilation of Aggregates in ASP Systems
Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro
Complementary Attention Gated Network for Pedestrian Trajectory Prediction
Jinghai Duan, Le Wang, Chengjiang Long et al.
Complexity of Deliberative Coalition Formation
Edith Elkind, Abheek Ghosh, Paul Goldberg
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection
Chengwei Chen, Yuan Xie, Shaohui Lin et al.
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita et al.
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
Qingxu Fu, Tenghai Qiu, Jianqiang Yi et al.
Conditional Abstract Dialectical Frameworks
Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner et al.
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong et al.
Conditional Generative Model Based Predicate-Aware Query Approximation
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal et al.
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
Haitao Lin, Zhangyang Gao, Yongjie Xu et al.
Conditional Loss and Deep Euler Scheme for Time Series Generation
Carl Remlinger, Joseph Mikael, Romuald Elie