57 citations · 110 across the 6 of their papers we have counts for
Showing 2019Show all
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eess.IV2019★ 1 cited
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
Kushal Datta, Imtiaz Hossain, Sun Choi +4
Existing approaches to train neural networks that use large images require to either crop or down-sample data during pre-processing, use small batch sizes, or split the model acros…
cs.LG2019★ 57 cited
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model
Aishwarya Bhandare, Vamsi Sripathi, Deepthi Karkada +4
In this work, we quantize a trained Transformer machine language translation model leveraging INT8/VNNI instructions in the latest Intel Xeon Cascade Lake p…
cs.LG2019
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
Derya Cavdar, Valeriu Codreanu, Can Karakus +11
Neural machine translation - using neural networks to translate human language - is an area of active research exploring new neuron types and network topologies with the goal of dr…