Papers
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
Yao Fu, Run Peng, Honglak Lee
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
Weitang Liu, Yi-Zhuang You, Ying Wai Li et al.
Gradient Descent Converges Linearly for Logistic Regression on Separable Data
Kyriakos Axiotis, Maxim Sviridenko
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
Yihang Gao, Yiqi Gu, Michael Ng
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry et al.
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova, Hanjun Dai, Dale Schuurmans
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta, Sahil Manchanda, Sayan Ranu et al.
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li, Miao Xiong, Bryan Hooi
Graph Contrastive Backdoor Attacks
Hangfan Zhang, Jinghui Chen, Lu Lin et al.
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon, Yue Wu, John Palowitch et al.
Graphically Structured Diffusion Models
Christian Dietrich Weilbach, William Harvey, Frank Wood
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma, Chen Lin, Derek Lim et al.
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen et al.
Graph Mixup with Soft Alignments
Hongyi Ling, Zhimeng Jiang, Meng Liu et al.
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Yuhe Guo, Zhewei Wei
Graph Neural Tangent Kernel: Convergence on Large Graphs
Sanjukta Krishnagopal, Luana Ruiz
Graph Positional Encoding via Random Feature Propagation
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua et al.
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli, James Harrison, Kaidi Yang et al.
Graph Switching Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas et al.
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi, Seoyoung Hong, Noseong Park et al.
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng, Miao Xiong, Bryan Hooi
Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Thomas Carta, Clément Romac, Thomas Wolf et al.