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Ping Tak Peter Tang

10 papers hereh-index 215.8k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author4

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV2
  • cs.DC1
  • cs.MS1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedOn Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

571 citations · 858 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2017★ 47 cited

Enabling Sparse Winograd Convolution by Native Pruning

Sheng Li, Jongsoo Park, Ping Tak Peter Tang

Sparse methods and the use of Winograd convolutions are two orthogonal approaches, each of which significantly accelerates convolution computations in modern CNNs. Sparse Winograd…

cs.CV2016★ 133 cited

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Jongsoo Park, Sheng Li, Wei Wen +4

Phenomenally successful in practical inference problems, convolutional neural networks (CNN) are widely deployed in mobile devices, data centers, and even supercomputers. The numbe…

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