Parameter redundancy from 5 pruning papers through time.

Parameter Redundancy Through Time.ipynb

published.py

# using python file to store data, it's weird I know

table =\
"""year, top-1 before, top-1 after, params before, params after, bibtex_id, title
2015, 31.50, 31.17, 138e6, 10.35e6, han2016deep, Deep Compression
2016, 25.03, 27.83, 21.8e6, 1.93e7, li2016pruning, Pruning Filters for Efficient ConvNets
2016, 31.9, 32.0, 15.19e6, 7.45e6, alvarez2016learning, Learning The Number of Neurons in Deep Networks
2017, 36.69, 36.66, 132.9e6, 23.2e6, liu2017learning, Learning Efficient Convolutional Networks through Network Slimming
2017, 25.02, 26.2, 9.5e6, 4.8e6, huang2017condensenet, CondenseNet: An Efficient DenseNet using Learned Group Convolutions
"""

import csv
from io import StringIO

with StringIO(table) as f:
    reader = csv.reader(f, delimiter=',', skipinitialspace=True)
    for i, r in enumerate(reader):
        if i == 0:
            cols = r
            pruning = {c:[] for c in cols}
        else:
            for c,v in zip(cols, r):
                pruning[c].append(v if c in ('bibtex_id', 'title') else float(v))