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03/20/2023
Unit Scaling: Out-of-the-Box Low-Precision Training
We present unit scaling, a paradigm for designing deep learning models t...
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11/22/2022
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
We present the award-winning submission to the WikiKG90Mv2 track of OGB-...
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06/06/2022
8-bit Numerical Formats for Deep Neural Networks
Given the current trend of increasing size and complexity of machine lea...
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08/13/2021
Towards Structured Dynamic Sparse Pre-Training of BERT
Identifying algorithms for computational efficient unsupervised training...
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06/10/2021
GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures
Attention based language models have become a critical component in stat...
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06/07/2021
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
We investigate the reasons for the performance degradation incurred with...
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06/07/2021
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
Much recent research has been dedicated to improving the efficiency of t...
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12/07/2020
Parallel Training of Deep Networks with Local Updates
Deep learning models trained on large data sets have been widely success...
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11/09/2020
Improving Neural Network Training in Low Dimensional Random Bases
Stochastic Gradient Descent (SGD) has proven to be remarkably effective ...
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04/20/2018
