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researcher

M. Kaminsky

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DB1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedAccelerating Deep Learning by Focusing on the Biggest Losers

36 citations · 64 across the 3 of their papers we have counts for

collaborators

4 papers

cs.DB2020★ 2 cited

Order-Preserving Key Compression for In-Memory Search Trees

Huanchen Zhang, Xiaoxuan Liu, David G. Andersen +3

We present the High-speed Order-Preserving Encoder (HOPE) for in-memory search trees. HOPE is a fast dictionary-based compressor that encodes arbitrary keys while preserving their…

cs.LG2019★ 36 cited

Accelerating Deep Learning by Focusing on the Biggest Losers

Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8

This paper introduces Selective-Backprop, a technique that accelerates the training of deep neural networks (DNNs) by prioritizing examples with high loss at each iteration. Select…

cs.CV2019★ 26 cited

Scaling Video Analytics on Constrained Edge Nodes

Christopher Canel, Thomas Kim, Giulio Zhou +5

As video camera deployments continue to grow, the need to process large volumes of real-time data strains wide area network infrastructure. When per-camera bandwidth is limited, it…

cs.CV2018

EDF: Ensemble, Distill, and Fuse for Easy Video Labeling

Giulio Zhou, Subramanya Dulloor, David G. Andersen +1

We present a way to rapidly bootstrap object detection on unseen videos using minimal human annotations. We accomplish this by combining two complementary sources of knowledge (one…

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