Papers
Causal Learning for Socially Responsible AI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth et al.
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Shuxin Li, Youzhi Zhang, Xinrun Wang et al.
Challenges and Opportunities of Building Fast GBDT Systems
Zeyi Wen, Qinbin Li, Bingsheng He et al.
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Chaoqi Yang, Cao Xiao, Lucas Glass et al.
Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models
Songtuan Lin, Pascal Bercher
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang, Xiao Wang, Pin-Yu Chen et al.
Choice Logics and Their Computational Properties
Michael Bernreiter, Jan Maly, Stefan Woltran
Choosing the Right Algorithm With Hints From Complexity Theory
Shouda Wang, Weijie Zheng, Benjamin Doerr
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT’s Heads
Chenyu Gao, Qi Zhu, Peng Wang et al.
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma et al.
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan et al.
Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
Zhe Xue, Junping Du, Changwei Zheng et al.
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Jing Yu, Yuan Chai, Yujing Wang et al.
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu, Chandan K Reddy, Prithwish Chakraborty et al.
Combinatorial Optimization and Reasoning with Graph Neural Networks
Quentin Cappart, Didier Chételat, Elias B. Khalil et al.
Combining Fairness and Optimality when Selecting and Allocating Projects
Khaled Belahcène, Vincent Mousseau, Anaëlle Wilczynski
Combining Reinforcement Learning and Causal Models for Robotics Applications
Arquímides Méndez-Molina
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
Yunsheng Zhang, Dong Yan, Bei Shi et al.
Communication-efficient and Scalable Decentralized Federated Edge Learning
Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai et al.
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim, Jaehoon Oh, Nak Yil Kim et al.
Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract)
Ringo Baumann, Gerhard Brewka, Markus Ulbricht
Compositional Neural Logic Programming
Son N. Tran
Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams
Masaaki Nishino, Norihito Yasuda, Kengo Nakamura
Computing Optimal Hypertree Decompositions with SAT
Andre Schidler, Stefan Szeider
Conditional Self-Supervised Learning for Few-Shot Classification
Yuexuan An, Hui Xue, Xingyu Zhao et al.