Papers
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning
Shi Yin, Shangfei Wang, Guozhu Peng et al.
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit
Yi-Qi Hu, Yang Yu, Jun-Da Liao
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li, Maarten de Rijke
Causal Discovery with Cascade Nonlinear Additive Noise Model
Ruichu Cai, Jie Qiao, Kun Zhang et al.
Causal Embeddings for Recommendation: An Extended Abstract
Flavian Vasile, Stephen Bonner
Cautious Rule-Based Collective Inference
Martin Svatos
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks
Xiaodong Jiang, Pengsheng Ji, Sheng Li
CFM: Convolutional Factorization Machines for Context-Aware Recommendation
Xin Xin, Bo Chen, Xiangnan He et al.
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
David Carral, Irina Dragoste, Markus Krötzsch et al.
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
Sankarshan Damle, Moin Hussain Moti, Praphul Chandra et al.
Classification with Label Distribution Learning
Jing Wang, Xin Geng
Clause Learning and New Bounds for Graph Coloring
Emmanuel Hebrard, George Katsirelos
Closed-Loop Memory GAN for Continual Learning
Amanda Rios, Laurent Itti
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
Stefan Borgwardt, Walter Forkel
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Jia Wang, Tong Sun, Benyuan Liu et al.
CNN-Based Chinese NER with Lexicon Rethinking
Tao Gui, Ruotian Ma, Qi Zhang et al.
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
Yuqing Ma, Xianglong Liu, Shihao Bai et al.
Co-Attentive Multi-Task Learning for Explainable Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie et al.
Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis
Kaisong Song, Wei Gao, Lujun Zhao et al.
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian et al.
Color-Sensitive Person Re-Identification
Guan'an Wang, Yang Yang, Jian Cheng et al.
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
Joachim Giesen, Soeren Laue
Commit Message Generation for Source Code Changes
Shengbin Xu, Yuan Yao, Feng Xu et al.
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion
Junming Shao, Zhong Zhang, Zhongjing Yu et al.
Compact Representation of Value Function in Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Christopher Kiekintveld et al.