scalable training

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025 Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes ICML 2024 Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NeurIPS 2022 EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression ICLR 2022 Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems ICML 2022 Toward Physically Realizable Quantum Neural Networks AAAI 2022 Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021 Scalable Graph Neural Networks via Bidirectional Propagation NeurIPS 2020 Scalable Semi-Supervised SVM via Triply Stochastic Gradients IJCAI 2019 Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015 BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013 Scalable Training of Mixture Models via Coresets NeurIPS 2011