Papers
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang, Wenguan Wang, Jiaxu Miao et al.
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard, Michael Scherbela, Philipp Marquetand et al.
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui, Xiner Li, Limei Wang et al.
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers, Mike Lewis, Younes Belkada et al.
GraB: Finding Provably Better Data Permutations than Random Reshuffling
Yucheng Lu, Wentao Guo, Christopher M De Sa
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud et al.
Gradient Descent: The Ultimate Optimizer
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley et al.
Gradient Estimation with Discrete Stein Operators
Jiaxin Shi, Yuhao Zhou, Jessica Hwang et al.
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier, Loucas PILLAUD-VIVIEN, Nicolas Flammarion
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin, Zeyu Zheng, Michael I. Jordan
Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi, Gilad Yehudai, Ohad Shamir
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
Hansheng Xue, Vaibhav Rajan, Yu Lin
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng, Defu Lian, Chenwang Wu et al.
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs
Zenan Li, Qitian Wu, Fan Nie et al.
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Arian Jamasb, Ramon Viñas Torné, Eric Ma et al.
Graph Few-shot Learning with Task-specific Structures
Song Wang, Chen Chen, Jundong Li
Graph Learning Assisted Multi-Objective Integer Programming
Yaoxin Wu, Wen Song, Zhiguang Cao et al.
Graph Neural Network Bandits
Parnian Kassraie, Andreas Krause, Ilija Bogunovic
Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik, Petar Veličković
Graph Neural Networks with Adaptive Readouts
David Buterez, Jon Paul Janet, Steven J Kiddle et al.
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data
Yehui Tang, Junchi Yan
Graph Reordering for Cache-Efficient Near Neighbor Search
Benjamin Coleman, Santiago Segarra, Alexander J Smola et al.
Graph Scattering beyond Wavelet Shackles
Christian Koke, Gitta Kutyniok
Graph Self-supervised Learning with Accurate Discrepancy Learning
Dongki Kim, Jinheon Baek, Sung Ju Hwang
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy
Yemin Yu, Ying Wei, Kun Kuang et al.