Papers
Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
Convergence Rate of Stochastic k-means
Cheng Tang, Claire Monteleoni
Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu, Dangna Li, Wing Hung Wong
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang, Matthew Brand
Conversing with Social Agents That Smile and Laugh
Catherine Pelachaud
Convex Global 3D Registration With Lagrangian Duality
Jesus Briales, Javier Gonzalez-Jimenez
Convexified Convolutional Neural Networks
Yuchen Zhang, Percy Liang, Martin J. Wainwright
Convex Phase Retrieval without Lifting via PhaseMax
Tom Goldstein, Christoph Studer
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon, John C. Duchi, Oliver Hinder et al.
ConvNets with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin Kurc et al.
Convolutional 2D LDA for Nonlinear Dimensionality Reduction
Qi Wang, Zequn Qin, Feiping Nie et al.
Convolutional Gaussian Processes
Mark van der Wilk, Carl Edward Rasmussen, James Hensman
Convolutional-Match Networks for Question Answering
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank et al.
Convolutional Neural Network Architecture for Geometric Matching
Ignacio Rocco, Relja Arandjelovic, Josef Sivic
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional Neural Networks for Authorship Attribution of Short Texts
Prasha Shrestha, Sebastian Sierra, Fabio González et al.
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson’s Disease
J.C. Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Convolutional Phase Retrieval
Qing Qu, Yuqian Zhang, Yonina Eldar et al.
Convolutional Random Walk Networks for Semantic Image Segmentation
Gedas Bertasius, Lorenzo Torresani, Stella X. Yu et al.
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan Ö. Arık, Markus Kliegl, Rewon Child et al.
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier et al.
Co-Occurrence Filter
Roy J. Jevnisek, Shai Avidan
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
Coordinated Multi-Agent Imitation Learning
Hoang M. Le, Yisong Yue, Peter Carr et al.