Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1412.6806
Cited By
v1
v2
v3 (latest)
Striving for Simplicity: The All Convolutional Net
International Conference on Learning Representations (ICLR), 2014
21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,917 papers shown
Extracting Causal Visual Features for Limited label Classification
International Conference on Information Photonics (ICIP), 2021
Mohit Prabhushankar
Ghassan AlRegib
CML
145
21
0
23 Mar 2021
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
AAAI Conference on Artificial Intelligence (AAAI), 2021
YuXiang Liu
Jidong Ge
Chuanyi Li
Jie Gui
231
2
0
22 Mar 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection
R. Vardhan
Ninghao Liu
Phakpoom Chinprutthiwong
Weijie Fu
Zhen Hu
Helen Zhou
G. Gu
AAML
238
5
0
22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal
International Conference on Machine Learning (ICML), 2021
Zifan Wang
Matt Fredrikson
Anupam Datta
OOD
FAtt
295
31
0
20 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey
ACM Computing Surveys (CSUR), 2021
Siwen Luo
Michal Guerquin
S. Han
Josiah Poon
MILM
417
64
0
20 Mar 2021
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2021
Pablo Gómez
Gabriele Meoni
227
49
0
18 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
IEEE International Conference on Computer Vision (ICCV), 2021
Pau Rodríguez López
Massimo Caccia
Alexandre Lacoste
L. Zamparo
I. Laradji
Laurent Charlin
David Vazquez
AAML
282
66
0
18 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
Environmental Data Science (EDS), 2021
Antonios Mamalakis
I. Ebert‐Uphoff
E. Barnes
OOD
378
87
0
18 Mar 2021
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
German Conference on Pattern Recognition (DAGM), 2021
Jannik Schmitt
Stefan Roth
UQCV
214
6
0
15 Mar 2021
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
489
285
0
09 Mar 2021
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Takuya Kurihana
Elisabeth Moyer
Rebecca Willett
Davis Gilton
Ian Foster
107
19
0
08 Mar 2021
Time and Frequency Network for Human Action Detection in Videos
Changhai Li
Huawei Chen
Jingqing Lu
Yang Huang
Yingying Liu
3DH
AI4TS
169
2
0
08 Mar 2021
Parser-Free Virtual Try-on via Distilling Appearance Flows
Computer Vision and Pattern Recognition (CVPR), 2021
Yuying Ge
Yibing Song
Ruimao Zhang
Chongjian Ge
Wei Liu
Ping Luo
DiffM
200
230
0
08 Mar 2021
Explanations for Occluded Images
IEEE International Conference on Computer Vision (ICCV), 2021
Hana Chockler
Daniel Kroening
Youcheng Sun
284
23
0
05 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
Cher Bass
Mariana da Silva
Carole Sudre
Logan Z. J. Williams
Petru-Daniel Tudosiu
F. Alfaro-Almagro
S. Fitzgibbon
M. Glasser
Stephen M. Smith
E. C. Robinson
154
37
0
03 Mar 2021
Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
Knowledge-Based Systems (KBS), 2021
Zhaoqun Li
Xu Liang
Dandan Fan
Jinxing Li
Wei Jia
David Zhang
186
20
0
03 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hao Zhang
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
299
78
0
02 Mar 2021
Predicting post-operative right ventricular failure using video-based deep learning
Nature Communications (Nat Commun), 2021
R. Shad
Nicolas Quach
R. Fong
P. Kasinpila
C. Bowles
...
Y. Woo
J. Teuteberg
John P. Cunningham
C. Langlotz
W. Hiesinger
110
56
0
28 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models
International Conference on Software Engineering (ICSE), 2021
Swaroopa Dola
Matthew B. Dwyer
M. Soffa
162
63
0
26 Feb 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Communications Engineer (CE), 2021
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
...
D. Kontos
Alexandros Karargyris
Renato Umeton
Peter Mattson
Spyridon Bakas
LM&MA
MedIm
275
56
0
26 Feb 2021
Do Input Gradients Highlight Discriminative Features?
Neural Information Processing Systems (NeurIPS), 2021
Harshay Shah
Prateek Jain
Praneeth Netrapalli
AAML
FAtt
363
67
0
25 Feb 2021
On the Impact of Interpretability Methods in Active Image Augmentation Method
Logic Journal of the IGPL (JLI), 2021
F. Santos
Cleber Zanchettin
L. Matos
P. Novais
AAML
122
2
0
24 Feb 2021
Do Transformer Modifications Transfer Across Implementations and Applications?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Sharan Narang
Hyung Won Chung
Yi Tay
W. Fedus
Thibault Févry
...
Wei Li
Nan Ding
Jake Marcus
Adam Roberts
Colin Raffel
235
135
0
23 Feb 2021
Rethinking Natural Adversarial Examples for Classification Models
Xiao-Li Li
Jianmin Li
Ting Dai
Jie Shi
Jun Zhu
Xiaolin Hu
AAML
VLM
254
14
0
23 Feb 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
Pattern Recognition (Pattern Recogn.), 2021
Jessica Cooper
Ognjen Arandjelovic
David J. Harrison
AAML
380
19
0
22 Feb 2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
Xuehao Liu
Sarah Jane Delany
Susan Mckeever
49
0
0
22 Feb 2021
Convolutional Normalization
M. Esposito
Nader Ganaba
123
0
0
19 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen
Rupert Brooks
Sovann En
Evan Zucker
Anuj Pareek
M. Lungren
Akshay S. Chaudhari
FAtt
MedIm
202
3
0
18 Feb 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
Alejandro Barredo Arrieta
S. Gil-Lopez
I. Laña
Miren Nekane Bilbao
Javier Del Ser
AI4TS
156
14
0
17 Feb 2021
Centroid Transformers: Learning to Abstract with Attention
Lemeng Wu
Xingchao Liu
Qiang Liu
3DPC
253
34
0
17 Feb 2021
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs
Jaehwan Lee
Joon‐Hyuk Chang
TDI
FAtt
220
0
0
15 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
Chuizheng Meng
Loc Trinh
Nan Xu
Yan Liu
188
31
0
12 Feb 2021
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Frank Schneider
Felix Dangel
Philipp Hennig
201
10
0
12 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
International Conference on Machine Learning (ICML), 2021
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
323
473
0
09 Feb 2021
Interpretable Neural Networks based classifiers for categorical inputs
S. Zamuner
P. Rios
FAtt
MILM
69
8
0
05 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
Engineering applications of artificial intelligence (EAAI), 2021
Harshana Habaragamuwa
Y. Oishi
Kenichi Tanaka
301
12
0
05 Feb 2021
Convolutional Neural Network Interpretability with General Pattern Theory
Erico Tjoa
Cuntai Guan
FAtt
AI4CE
216
6
0
05 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts
IEEE International Conference on Computer Vision (ICCV), 2021
Zhiqiang Tang
Yunhe Gao
Yi Zhu
Zhi-Li Zhang
Mu Li
Dimitris N. Metaxas
OOD
210
66
0
04 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yuanyuan Chen
Boyang Albert Li
Han Yu
Pengcheng Wu
Chunyan Miao
TDI
469
50
0
04 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Information Fusion (Inf. Fusion), 2021
Guang Yang
Qinghao Ye
Jun Xia
286
584
0
03 Feb 2021
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals
Journal of Computer Science (JCS), 2021
Ramiro Casal
L. D. Persia
G. Schlotthauer
MLAU
60
21
0
29 Jan 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Artificial Intelligence (AI), 2021
Matthew Lyle Olson
Roli Khanna
Lawrence Neal
Fuxin Li
Weng-Keen Wong
CML
231
86
0
29 Jan 2021
Shape or Texture: Understanding Discriminative Features in CNNs
International Conference on Learning Representations (ICLR), 2021
Md. Amirul Islam
M. Kowal
Patrick Esser
Sen Jia
Bjorn Ommer
Konstantinos G. Derpanis
Neil D. B. Bruce
189
85
0
27 Jan 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yuanhong Chen
Yu Tian
Guansong Pang
G. Carneiro
VLM
459
132
0
25 Jan 2021
Applications of Deep Learning in Fundus Images: A Review
Tao Li
Wang Bo
Chunyu Hu
Hong Kang
Hanruo Liu
Kai Wang
Huazhu Fu
213
299
0
25 Jan 2021
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
Shihao Zhao
Jiabo He
Yisen Wang
James Bailey
Yue Liu
Yu-Gang Jiang
AAML
206
15
0
18 Jan 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
I. Sledge
José C. Príncipe
308
5
0
18 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation
IEEE International Conference on Computer Vision (ICCV), 2021
Adria Ruiz
Antonio Agudo
Francesc Moreno
FAtt
174
3
0
17 Jan 2021
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2021
Muhammad Ahmad
Sidrah Shabbir
Swalpa Kumar Roy
Danfeng Hong
Xin Wu
Jing Yao
A. Khan
Manuel Mazzara
Salvatore Distefano
Jocelyn Chanussot
414
322
0
15 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
206
14
0
15 Jan 2021
Previous
1
2
3
...
17
18
19
...
37
38
39
Next
Page 18 of 39
Page
of 39
Go
