conftrace_

scalable training

12 papers

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Co-occurring keywords

graph neural network (3962) stochastic gradient descent (1091) coresets (2) data summarization (37) coreset construction (40) support vector machine (978) streaming algorithm (131) approximation algorithm (630) mixture model (262) state-of-the-art performance (21)

Papers

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NIPS 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 NIPS 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 NIPS 2011