ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.6806
  4. Cited By
Striving for Simplicity: The All Convolutional Net
v1v2v3 (latest)

Striving for Simplicity: The All Convolutional Net

21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Striving for Simplicity: The All Convolutional Net"

50 / 1,866 papers shown
Title
Interpretation of Deep Temporal Representations by Selective
  Visualization of Internally Activated Nodes
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes
Sohee Cho
Ginkyeng Lee
Wonjoon Chang
Jaesik Choi
73
16
0
27 Apr 2020
Quantization of Deep Neural Networks for Accumulator-constrained
  Processors
Quantization of Deep Neural Networks for Accumulator-constrained Processors
B. Bruin
Z. Zivkovic
Henk Corporaal
MQ
26
21
0
24 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
102
55
0
23 Apr 2020
Assessing the Reliability of Visual Explanations of Deep Models with
  Adversarial Perturbations
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations
Dan Valle
Tiago Pimentel
Adriano Veloso
FAttXAIAAML
40
3
0
22 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural
  Network Attribution
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary S. W. Goh
Sebastian Lapuschkin
Leander Weber
Wojciech Samek
Alexander Binder
FAtt
75
35
0
22 Apr 2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D
  Object Recognition
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
Markus Vincze
71
33
0
21 Apr 2020
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired
  Study
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
D. D. Jong
Federico Paredes-Valles
Guido de Croon
125
8
0
20 Apr 2020
A Committee of Convolutional Neural Networks for Image Classication in
  the Concurrent Presence of Feature and Label Noise
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise
Stanislaw Ka'zmierczak
Jacek Mańdziuk
16
1
0
19 Apr 2020
One-vs-Rest Network-based Deep Probability Model for Open Set
  Recognition
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition
Jaeyeon Jang
Chang Ouk Kim
UQCV
54
12
0
17 Apr 2020
Spatially Attentive Output Layer for Image Classification
Spatially Attentive Output Layer for Image Classification
Ildoo Kim
Woonhyuk Baek
Sungwoong Kim
35
25
0
16 Apr 2020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in
  Chest X-rays
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
S. Rajaraman
Jenifer Siegelman
P. Alderson
Lucas S. Folio
L. Folio
Sameer Kiran Antani
59
268
0
16 Apr 2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and
  Classification from CT Images
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu
Yuan Gao
Zhangming Niu
Yinghui Jiang
Lao Li
...
E. Fang
Wade Menpes-Smith
Jun Xia
Hui Ye
Guang Yang
74
321
0
14 Apr 2020
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
Han Lin Aung
Burak Uzkent
Marshall Burke
David B. Lobell
Stefano Ermon
91
36
0
11 Apr 2020
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race
  with small data
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
Enzo Tartaglione
C. Barbano
C. Berzovini
M. Calandri
Marco Grangetto
71
186
0
11 Apr 2020
Energy Predictive Models for Convolutional Neural Networks on Mobile
  Platforms
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms
Crefeda Faviola Rodrigues
Graham D. Riley
M. Luján
HAI
21
2
0
10 Apr 2020
Compiling Spiking Neural Networks to Neuromorphic Hardware
Compiling Spiking Neural Networks to Neuromorphic Hardware
Shihao Song
Adarsha Balaji
Anup Das
Nagarajan Kandasamy
J. Shackleford
76
42
0
07 Apr 2020
TSInsight: A local-global attribution framework for interpretability in
  time-series data
TSInsight: A local-global attribution framework for interpretability in time-series data
Shoaib Ahmed Siddiqui
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
FAttAI4TS
50
12
0
06 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
There and Back Again: Revisiting Backpropagation Saliency Methods
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Andrea Vedaldi
FAttXAI
68
113
0
06 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
Jun Chen
Lu Liu
Yong Liu
Xianfang Zeng
MQ
91
29
0
06 Apr 2020
AutoToon: Automatic Geometric Warping for Face Cartoon Generation
AutoToon: Automatic Geometric Warping for Face Cartoon Generation
Julia Gong
Yannick Hold-Geoffroy
Jingwan Lu
3DHCVBM
61
28
0
06 Apr 2020
Attribution in Scale and Space
Attribution in Scale and Space
Shawn Xu
Subhashini Venugopalan
Mukund Sundararajan
FAttBDL
60
72
0
03 Apr 2020
NBDT: Neural-Backed Decision Trees
NBDT: Neural-Backed Decision Trees
Alvin Wan
Lisa Dunlap
Daniel Ho
Jihan Yin
Scott Lee
Henry Jin
Suzanne Petryk
Sarah Adel Bargal
Joseph E. Gonzalez
68
106
0
01 Apr 2020
3D Deep Learning on Medical Images: A Review
3D Deep Learning on Medical Images: A Review
S. Singh
Lipo Wang
Sukrit Gupta
Haveesh Goli
P. Padmanabhan
Balázs Gulyás
MedIm
125
435
0
01 Apr 2020
Ontology-based Interpretable Machine Learning for Textual Data
Ontology-based Interpretable Machine Learning for Textual Data
Phung Lai
Nhathai Phan
Han Hu
Anuja Badeti
David Newman
Dejing Dou
31
8
0
01 Apr 2020
Explaining Motion Relevance for Activity Recognition in Video Deep
  Learning Models
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley
Alun D. Preece
Y. Hicks
Supriyo Chakraborty
Prudhvi K. Gurram
Richard J. Tomsett
FAtt
90
15
0
31 Mar 2020
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM
  Array
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array
M. Ali
Akhilesh R. Jaiswal
Sangamesh Kodge
Amogh Agrawal
I. Chakraborty
Kaushik Roy
MQ
20
85
0
27 Mar 2020
Neural encoding and interpretation for high-level visual cortices based
  on fMRI using image caption features
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
Kai Qiao
Chi Zhang
Jian Chen
Linyuan Wang
Li Tong
Bin Yan
21
3
0
26 Mar 2020
Automated Detection of Cribriform Growth Patterns in Prostate Histology
  Images
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images
P. Ambrosini
E. Hollemans
C. Kweldam
G. Leenders
S. Stallinga
F. Vos
MedIm
67
27
0
23 Mar 2020
Steepest Descent Neural Architecture Optimization: Escaping Local
  Optimum with Signed Neural Splitting
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting
Lemeng Wu
Mao Ye
Qi Lei
Jason D. Lee
Qiang Liu
88
15
0
23 Mar 2020
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural
  Networks Based on Graphics Processing Units
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
Guangli Li
Lei Liu
Xueying Wang
Xiu Ma
Xiaobing Feng
MQ
50
18
0
19 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
145
83
0
17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
L. Arras
Ahmed Osman
Wojciech Samek
XAIAAML
97
157
0
16 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
341
237
0
16 Mar 2020
Measuring and improving the quality of visual explanations
Measuring and improving the quality of visual explanations
Agnieszka Grabska-Barwiñska
XAIFAtt
141
3
0
14 Mar 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
70
40
0
13 Mar 2020
A Multi-task Learning Framework for Grasping-Position Detection and
  Few-Shot Classification
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
Yasuto Yokota
Kanata Suzuki
Yuzi Kanazawa
T. Takebayashi
23
4
0
12 Mar 2020
IROF: a low resource evaluation metric for explanation methods
IROF: a low resource evaluation metric for explanation methods
Laura Rieger
Lars Kai Hansen
68
55
0
09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CMLELMXAI
98
221
0
09 Mar 2020
Salient Facial Features from Humans and Deep Neural Networks
Salient Facial Features from Humans and Deep Neural Networks
Shan Sun
Wei Zhen Teoh
Michael Guerzhoy
3DHCVBMFAtt
40
0
0
08 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural
  Architecture Search
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang
Yaochu Jin
Ran Cheng
K. Hao
67
9
0
07 Mar 2020
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep
  Visual Speech Recognition
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition
Yuanhang Zhang
Shuang Yang
Jingyun Xiao
Shiguang Shan
Xilin Chen
82
65
0
06 Mar 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information
  Accessible from Input-Output Observations
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Aditya Golatkar
Alessandro Achille
Stefano Soatto
MUOOD
179
198
0
05 Mar 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters
SAM: The Sensitivity of Attribution Methods to Hyperparameters
Naman Bansal
Chirag Agarwal
Anh Nguyen
FAtt
28
0
0
04 Mar 2020
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised
  Knee Osteoarthritis Severity Grading from Plain Radiographs
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
Huy Hoang Nguyen
S. Saarakkala
Matthew Blaschko
A. Tiulpin
74
38
0
04 Mar 2020
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized
  Neural Networks
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks
Jun Chen
Yong Liu
Hao Zhang
Shengnan Hou
Jian Yang
MQ
29
8
0
04 Mar 2020
Predicting Neural Network Accuracy from Weights
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
83
108
0
26 Feb 2020
Generalized Octave Convolutions for Learned Multi-Frequency Image
  Compression
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Mohammad Akbari
Jie Liang
Jingning Han
Chengjie Tu
81
19
0
24 Feb 2020
Parallel and distributed asynchronous adaptive stochastic gradient
  methods
Parallel and distributed asynchronous adaptive stochastic gradient methods
Yangyang Xu
Yibo Xu
Yonggui Yan
Colin Sutcher-Shepard
Leopold Grinberg
Jiewei Chen
54
2
0
21 Feb 2020
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite
  Networks
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida
Tim Pearce
Christopher van der Heide
Fred Roosta
M. Gallagher
57
8
0
20 Feb 2020
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Zifan Wang
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
XAIFAtt
54
17
0
19 Feb 2020
Previous
123...212223...363738
Next