Papers
Causal Inference Under Interference And Network Uncertainty
Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
Causal Learning via Manifold Regularization
Steven M. Hill, Chris J. Oates, Duncan A. Blythe et al.
Causal Regularization
Dominik Janzing
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light
Yu Zhang, Daniel L. Lau, Ying Yu
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints
Nikolaos Liakopoulos, Apostolos Destounis, Georgios Paschos et al.
Cautious Rule-Based Collective Inference
Martin Svatos
Caveats for information bottleneck in deterministic scenarios
Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model
Uygun Shadikhodjaev, Jae Sung Lee
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
Florian Mai, Lukas Galke, Ansgar Scherp
CCG Parsing Algorithm with Incremental Tree Rotation
Miloš Stanojević, Mark Steedman
CCGweb: a New Annotation Tool and a First Quadrilingual CCG Treebank
Kilian Evang, Lasha Abzianidze, Johan Bos
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang, Xinggang Wang, Lichao Huang et al.
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Zhigang Li, Gu Wang, Xiangyang Ji
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Alan Lukezic, Ugur Kart, Jani Kapyla et al.
Celebrity Profiling
Matti Wiegmann, Benno Stein, Martin Potthast
Cell-aware Stacked LSTMs for Modeling Sentences
Jihun Choi, Taeuk Kim, Sang-goo Lee
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks
Xiaodong Jiang, Pengsheng Ji, Sheng Li
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
Arun Verma, Manjesh Hanawal, Arun Rajkumar et al.
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie et al.
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
Xiaohan Ding, Guiguang Ding, Yuchen Guo et al.
Certainty Equivalence is Efficient for Linear Quadratic Control
Horia Mania, Stephen Tu, Benjamin Recht
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann