research
∙
09/23/2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning
An important linear algebra routine, GEneral Matrix Multiplication (GEMM...
share
research
∙
11/20/2018
Gradient-Coherent Strong Regularization for Deep Neural Networks
Deep neural networks are often prone to over-fitting with their numerous...
research
∙
11/09/2018
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
Modern ad-hoc retrieval models learned with implicit feedback have two p...
research
∙
10/19/2018
Sequenced-Replacement Sampling for Deep Learning
We propose sequenced-replacement sampling (SRS) for training deep neural...
research
∙
03/11/2018
