Papers
Converging on Common Knowledge
Dominik Klein, Rasmus Kræmmer Rendsvig
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang, Yingwei Pan, Ting Yao et al.
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyang Jiang, Deqing Yang, Yanghua Xiao et al.
Cooperative Pruning in Cross-Domain Deep Neural Network Compression
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang, Cong Fu, Jishun Guo et al.
Coreference Aware Representation Learning for Neural Named Entity Recognition
Zeyu Dai, Hongliang Fei, Ping Li
Correct-and-Memorize: Learning to Translate from Interactive Revisions
Rongxiang Weng, Hao Zhou, Shujian Huang et al.
Correlating Preferences and Attributes: Nearly Single-Crossing Profiles
Foram Lakhani, Dominik Peters, Edith Elkind
Correlation-Sensitive Next-Basket Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network
Sayan Banerjee, Avik Hati, Subhasis Chaudhuri et al.
CoTrRank: Trust Evaluation of Users and Tweets
Peiyao Li, Weiliang Zhao, Jian Yang et al.
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
Steven Carr, Nils Jansen, Ralf Wimmer et al.
Counterfactual Fairness: Unidentification, Bound and Algorithm
Yongkai Wu, Lu Zhang, Xintao Wu
CounterFactual Regression with Importance Sampling Weights
Negar Hassanpour, Russell Greiner
Crafting Efficient Neural Graph of Large Entropy
Minjing Dong, Hanting Chen, Yunhe Wang et al.
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Leye Wang, Xu Geng, Xiaojuan Ma et al.
Crowd View: Converting Investors' Opinions into Indicators
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
CRSRL: Customer Routing System Using Reinforcement Learning
Chong Long, Zining Liu, Xiaolu Lu et al.
Curriculum Learning for Cumulative Return Maximization
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez et al.
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models
Tahrima Rahman, Shasha Jin, Vibhav Gogate
DANE: Domain Adaptive Network Embedding
Yizhou Zhang, Guojie Song, Lun Du et al.
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics
Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev
DatalogMTL: Computational Complexity and Expressive Power
Przemysław A. Wałęga, Bernardo Cuenca Grau, Mark Kaminski et al.