Papers
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for Phrases
Peng-Hsuan Li, Wei-Yun Ma, Hsin-Yang Wang
CKY-based Convolutional Attention for Neural Machine Translation
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya
Classical Generalized Probabilistic Satisfiability
Carlos Caleiro, Filipe Casal, Andreia Mordido
Classification and Representation Joint Learning via Deep Networks
Ya Li, Xinmei Tian, Xu Shen et al.
Classification-Based Detection of Glottal Closure Instants from Speech Signals
Jindřich Matoušek, Daniel Tihelka
Classification of Bulbar ALS from Kinematic Features of the Jaw and Lips: Towards Computer-Mediated Assessment
Andrea Bandini, Jordan R. Green, Lorne Zinman et al.
Classification of telicity using cross-linguistic annotation projection
Annemarie Friedrich, Damyana Gateva
Classification of Time Sequences using Graphs of Temporal Constraints
Mathieu Guillame-Bert, Artur Dubrawski
ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners
Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh
Classifying Illegal Activities on Tor Network Based on Web Textual Contents
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre et al.
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths
Fei Cheng, Yusuke Miyao
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten et al.
Clipper: A Low-Latency Online Prediction Serving System
Daniel Crankshaw, Xin Wang, Guilio Zhou et al.
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
ClockWork-RNN Based Architectures for Slot Filling
Despoina Georgiadou, Vassilios Diakoloukas, Vassilios Tsiaras et al.
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli et al.
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Sebastijan Dumancic, Hendrik Blockeel
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian, Konstantin Makarychev, Miklos Racz et al.
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson et al.
Clustering from General Pairwise Observations with Applications to Time-varying Graphs
Shiau Hong Lim, Yudong Chen, Huan Xu
Clustering from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael Cho et al.
Clustering High Dimensional Dynamic Data Streams
Vladimir Braverman, Gereon Frahling, Harry Lang et al.
Clustering Stable Instances of Euclidean k-means.
Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang