121 citations · 121 across the 2 of their papers we have counts for
3 papers
cs.LG2018
An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer
Michael Witbrock, Marco Zagha
Current connectionist simulations require huge computational resources. We describe a neural network simulator for the IBM GF11, an experimental SIMD machine with 566 processors an…
cs.AI2017★ 121 cited
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han +7
Learning with recurrent neural networks (RNNs) on long sequences is a notoriously difficult task. There are three major challenges: 1) complex dependencies, 2) vanishing and explod…
cs.AI2016
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach
Abhishek Sharma, Michael Witbrock, Keith Goolsbey
Very large commonsense knowledge bases (KBs) often have thousands to millions of axioms, of which relatively few are relevant for answering any given query. A large number of irrel…