1 citations · 2 across the 2 of their papers we have counts for
4 papers
Scaling Distributed Training with Adaptive Summation
Saeed Maleki, Madan Musuvathi, Todd Mytkowicz +5
Stochastic gradient descent (SGD) is an inherently sequential training algorithm--computing the gradient at batch depends on the model parameters learned from batch . Prio…
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
Wenlei Bao, Li-Wen Chang, Yang Chen +4
Quantization has emerged to be an effective way to significantly boost the performance of deep neural networks (DNNs) by utilizing low-bit computations. Despite having lower numeri…
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
Predicting and understanding human motion dynamics has many applications, such as motion synthesis, augmented reality, security, and autonomous vehicles. Due to the recent success…
Articulated Hand Pose Estimation Review
Emad Barsoum
With the increase number of companies focusing on commercializing Augmented Reality (AR), Virtual Reality (VR) and wearable devices, the need for a hand based input mechanism is be…