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Calibrate and Prune: Improving Reliability of Lottery Tickets Through
  Prediction Calibration

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration

10 February 2020
Bindya Venkatesh
Jayaraman J. Thiagarajan
Kowshik Thopalli
P. Sattigeri
ArXivPDFHTML

Papers citing "Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration"

5 / 5 papers shown
Title
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
40
0
0
29 Aug 2023
Quantifying lottery tickets under label noise: accuracy, calibration,
  and complexity
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
V. Arora
Daniele Irto
Sebastian Goldt
G. Sanguinetti
52
2
0
21 Jun 2023
A Winning Hand: Compressing Deep Networks Can Improve
  Out-Of-Distribution Robustness
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
James Diffenderfer
Brian Bartoldson
Shreya Chaganti
Jize Zhang
B. Kailkhura
OOD
31
69
0
16 Jun 2021
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci
Yani Andrew Ioannou
Cem Keskin
Yann N. Dauphin
42
87
0
07 Oct 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
38
5
0
30 Apr 2020
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