Papers
Generating 3D Molecules for Target Protein Binding
Meng Liu, Youzhi Luo, Kanji Uchino et al.
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore et al.
Generative Coarse-Graining of Molecular Conformations
Wujie Wang, Minkai Xu, Chen Cai et al.
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin et al.
Generative Flow Networks for Discrete Probabilistic Modeling
Dinghuai Zhang, Nikolay Malkin, Zhen Liu et al.
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Generative Trees: Adversarial and Copycat
Richard Nock, Mathieu Guillame-Bert
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy, Ibrahim Jubran, Dan Feldman
GenLabel: Mixup Relabeling using Generative Models
Jy-Yong Sohn, Liang Shang, Hongxu Chen et al.
Geometric Multimodal Contrastive Representation Learning
Petra Poklukar, Miguel Vasco, Hang Yin et al.
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du, Yanping Huang, Andrew M Dai et al.
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh et al.
Global Optimization Networks
Sen Zhao, Erez Louidor, Maya Gupta
Global Optimization of K-Center Clustering
Mingfei Shi, Kaixun Hua, Jiayang Ren et al.
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han, Zhimeng Jiang, Ninghao Liu et al.
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Yixuan He, Quan Gan, David Wipf et al.
Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco Di Langosco, Jack Koch, Lee D Sharkey et al.
Going Deeper into Permutation-Sensitive Graph Neural Networks
Zhongyu Huang, Yingheng Wang, Chaozhuo Li et al.
Gradient Based Clustering
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic et al.
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Wanli Shi, Hongchang Gao, Bin Gu
Graph-Coupled Oscillator Networks
T. Konstantin Rusch, Ben Chamberlain, James Rowbottom et al.
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Haiyang Yu, Limei Wang, Bokun Wang et al.
Graph Neural Architecture Search Under Distribution Shifts
Yijian Qin, Xin Wang, Ziwei Zhang et al.
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan, Zeyang Liu, Xingyu Chen et al.