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Revisiting the Importance of Individual Units in CNNs via Ablation

Revisiting the Importance of Individual Units in CNNs via Ablation

7 June 2018
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
    FAtt
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Papers citing "Revisiting the Importance of Individual Units in CNNs via Ablation"

14 / 14 papers shown
Title
Studying Small Language Models with Susceptibilities
Studying Small Language Models with Susceptibilities
Garrett Baker
George Wang
Jesse Hoogland
Daniel Murfet
AAML
75
1
0
25 Apr 2025
Dimensions underlying the representational alignment of deep neural networks with humans
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
45
4
0
28 Jan 2025
CAManim: Animating end-to-end network activation maps
CAManim: Animating end-to-end network activation maps
Emily Kaczmarek
Olivier X. Miguel
Alexa C. Bowie
R. Ducharme
Alysha L. J. Dingwall-Harvey
S. Hawken
Christine M. Armour
Mark C. Walker
Kevin Dick
HAI
19
1
0
19 Dec 2023
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
19
454
0
24 Nov 2021
Quantifying Local Specialization in Deep Neural Networks
Quantifying Local Specialization in Deep Neural Networks
Shlomi Hod
Daniel Filan
Stephen Casper
Andrew Critch
Stuart J. Russell
60
10
0
13 Oct 2021
Selectivity considered harmful: evaluating the causal impact of class
  selectivity in DNNs
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew L. Leavitt
Ari S. Morcos
55
33
0
03 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
8
714
0
24 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
32
423
0
20 Jan 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth C. Fong
Mandela Patrick
Andrea Vedaldi
AAML
25
411
0
18 Oct 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced
  Artificial Neuronal Assembly Regularization
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization
Yuyang Gao
Giorgio Ascoli
Liang Zhao
13
15
0
27 Sep 2019
Deep Learning Training on the Edge with Low-Precision Posits
Deep Learning Training on the Edge with Low-Precision Posits
H. F. Langroudi
Zachariah Carmichael
Dhireesha Kudithipudi
MQ
16
14
0
30 Jul 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li
Shaohui Lin
Baochang Zhang
Jianzhuang Liu
David Doermann
Yongjian Wu
Feiyue Huang
R. Ji
37
130
0
11 Dec 2018
Identifying and Controlling Important Neurons in Neural Machine
  Translation
Identifying and Controlling Important Neurons in Neural Machine Translation
A. Bau
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
MILM
13
180
0
03 Nov 2018
Distilling Critical Paths in Convolutional Neural Networks
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu
Zhuwei Qin
Xiang Chen
26
21
0
28 Oct 2018
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