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Found 4 papers, 2 papers with code
Insights From the NeurIPS 2021 NetHack Challenge
In this report, we summarize the takeaways from the first NeurIPS 2021 NetHack Challenge.
Automated Learning Rate Scheduler for Large-batch Training
Large-batch training has been essential in leveraging large-scale datasets and models in deep learning.
Edge-labeling Graph Neural Network for Few-shot Learning
In this paper, we propose a novel edge-labeling graph neural network (EGNN), which adapts a deep neural network on the edge-labeling graph, for few-shot learning.
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
This paper describes a new acoustic model based on variational Gaussian process dynamical system (VGPDS) for phoneme classification.
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