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Boyuan Feng

3 accepted papers

2025

Accelerating neural network training: An analysis of the AlgoPerf competition

ICLR 2025poster

The goal of the AlgoPerf: Training Algorithms competition is to evaluate practical speed-ups in neural network training achieved solely by improving the underlying training algorithms. In the external tuning ruleset, submissions must provide workload-agnostic hyperparameter search spaces, while in t…

Cited by 0SourcePDFScholar
2021

UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

AAAI 2021technical

With the increasing popularity of graph-based learning, graph neural networks (GNNs) emerge as the essential tool for gaining insights from graphs. However, unlike the conventional CNNs that have been extensively explored and exhaustively tested, people are still worrying about the GNNs' robustness…

Cited by 33SourcePDFScholar