Papers
GDPP: Learning Diverse Generations using Determinantal Point Processes
Mohamed Elfeki, Camille Couprie, Morgane Riviere et al.
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Carlo Lucibello, Luca Saglietti, Yue Lu
Generalized Linear Rule Models
Dennis Wei, Sanjeeb Dash, Tian Gao et al.
Generalized Majorization-Minimization
Sobhan Naderi Parizi, Kun He, Reza Aghajani et al.
Generalized No Free Lunch Theorem for Adversarial Robustness
Elvis Dohmatob
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, Hui Li et al.
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
Jinyang Yuan, Bin Li, Xiangyang Xue
Geometric Losses for Distributional Learning
Arthur Mensch, Mathieu Blondel, Gabriel Peyré
Geometric Scattering for Graph Data Analysis
Feng Gao, Guy Wolf, Matthew Hirn
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith, Scott Fujimoto, Adriana Romero et al.
Geometry and Symmetry in Short-and-Sparse Deconvolution
Han-Wen Kuo, Yenson Lau, Yuqian Zhang et al.
Geometry Aware Convolutional Filters for Omnidirectional Images Representation
Renata Khasanova, Pascal Frossard
Global Convergence of Block Coordinate Descent in Deep Learning
Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin et al.
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
David John, Vincent Heuveline, Michael Schober
Good Initializations of Variational Bayes for Deep Models
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Gradient Descent Finds Global Minima of Deep Neural Networks
Simon Du, Jason Lee, Haochuan Li et al.
Graph Convolutional Gaussian Processes
Ian Walker, Ben Glocker
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauza Villalonga et al.
Graphical-model based estimation and inference for differential privacy
Ryan Mckenna, Daniel Sheldon, Gerome Miklau
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover, Aaron Zweig, Stefano Ermon
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu, Thomas Dullien et al.
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
Dasaem Jeong, Taegyun Kwon, Yoojin Kim et al.
Graph Resistance and Learning from Pairwise Comparisons
Julien Hendrickx, Alexander Olshevsky, Venkatesh Saligrama
Graph U-Nets
Hongyang Gao, Shuiwang Ji