682 citations · 687 across the 5 of their papers we have counts for
4 papers
Self-supervised Video Representation Learning with Cascade Positive Retrieval
Cheng-En Wu, Farley Lai, Yu Hen Hu +1
Self-supervised video representation learning has been shown to effectively improve downstream tasks such as video retrieval and action recognition. In this paper, we present the C…
SplitBrain: Hybrid Data and Model Parallel Deep Learning
Farley Lai, Asim Kadav, Erik Kruus
The recent success of deep learning applications has coincided with those widely available powerful computational resources for training sophisticated machine learning models with…
ASAP: Asynchronous Approximate Data-Parallel Computation
Asim Kadav, Erik Kruus
Emerging workloads, such as graph processing and machine learning are approximate because of the scale of data involved and the stochastic nature of the underlying algorithms. Thes…
Pruning Filters for Efficient ConvNets
Hao Li, Asim Kadav, Igor Durdanovic +2
The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward reducing these overheads…