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Found 5 papers, 2 papers with code
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
We present the award-winning submission to the WikiKG90Mv2 track of OGB-LSC@NeurIPS 2022.
8-bit Numerical Formats for Deep Neural Networks
Given the current trend of increasing size and complexity of machine learning architectures, it has become of critical importance to identify new approaches to improve the computational efficiency of model training.
Towards Structured Dynamic Sparse Pre-Training of BERT
Identifying algorithms for computational efficient unsupervised training of large language models is an important and active area of research.
GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures
Attention based language models have become a critical component in state-of-the-art natural language processing systems.
Predicting the Computational Cost of Deep Learning Models
But, also, it has the ability to predict execution times for scenarios unseen in the training data.
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