Papers
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
Yulin Wang, Kangchen Lv, Rui Huang et al.
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang, Negar Kiyavash, Niao He
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh N Nguyen, Marco Mondelli
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Jaehyeon Kim, Sungwon Kim, Jungil Kong et al.
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou, Bo Feng, Geoffrey Charles Fox et al.
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Zitnik
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong, Martin Danelljan, Luc V. Gool et al.
GPS-Net: Graph-based Photometric Stereo Network
Zhuokun Yao, Kun Li, Ying Fu et al.
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John T Halloran, David M Rocke
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang, Sijie Zhu, Chen Chen
Gradient Boosted Normalizing Flows
Robert Giaquinto, Arindam Banerjee
Gradient-EM Bayesian Meta-Learning
Yayi Zou, Xiaoqi Lu
Gradient Estimation with Stochastic Softmax Tricks
Max Paulus, Dami Choi, Daniel Tarlow et al.
Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang, Mihaela van der Schaar
Gradient Surgery for Multi-Task Learning
Tianhe Yu, Saurabh Kumar, Abhishek Gupta et al.
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
Runzhong Wang, Junchi Yan, Xiaokang Yang
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui et al.
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li, Siheng Chen, Ya Zhang et al.
Graph Geometry Interaction Learning
Shichao Zhu, Shirui Pan, Chuan Zhou et al.
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, Pan Li et al.
Graph Meta Learning via Local Subgraphs
Kexin Huang, Marinka Zitnik
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz, Luiz Chamon, Alejandro Ribeiro