Papers
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
Greedy Layerwise Learning Can Scale To ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
Kai Zhang, Sheng Zhang, Jun Liu et al.
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Lei Han, Peng Sun, Yali Du et al.
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu, Dixin Luo, Hongyuan Zha et al.
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi et al.
Guided evolutionary strategies: augmenting random search with surrogate gradients
Niru Maheswaranathan, Luke Metz, George Tucker et al.
Hessian Aided Policy Gradient
Zebang Shen, Alejandro Ribeiro, Hamed Hassani et al.
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou
HexaGAN: Generative Adversarial Nets for Real World Classification
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
Hierarchical Decompositional Mixtures of Variational Autoencoders
Ping Liang Tan, Robert Peharz