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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
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
Mengyu Ye
Tatsuki Kuribayashi
Goro Kobayashi
Jun Suzuki
LRM
150
0
0
20 Dec 2024
Toward Efficient Data-Free Unlearning
Toward Efficient Data-Free Unlearning
Chenhao Zhang
Shaofei Shen
Weitong Chen
Miao Xu
MU
156
0
0
18 Dec 2024
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
Kristoffer Wickstrøm
Marina M.-C. Höhne
Anna Hedström
AAML
171
2
0
07 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels
Explaining Object Detectors via Collective Contribution of Pixels
Toshinori Yamauchi
Hiroshi Kera
K. Kawamoto
ObjDFAtt
113
1
0
01 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
284
0
0
29 Nov 2024
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare
  Forecasting Models with Attribution-based Proximity Analysis
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Temitope Adeyeha
Chetraj Pandey
Berkay Aydin
FAtt
112
0
0
27 Nov 2024
Explainable AI Approach using Near Misses Analysis
Explainable AI Approach using Near Misses Analysis
Eran Kaufman
Avivit levy
82
0
0
25 Nov 2024
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim
Hyungjin Chung
Jaemin Kim
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
DiffM
128
0
0
22 Nov 2024
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional
  computing
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
Nikhil P Ghanathe
Steven J E Wilton
61
0
0
16 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun
Alican Akman
Björn Schuller
148
10
0
15 Nov 2024
Investigating the Effectiveness of Explainability Methods in Parkinson's
  Detection from Speech
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
Eleonora Mancini
Francesco Paissan
Paolo Torroni
Mirco Ravanelli
Cem Subakan
83
2
0
12 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
Ali Sunyaev
A. Hilbert
244
3
0
07 Nov 2024
Lost in Context: The Influence of Context on Feature Attribution Methods
  for Object Recognition
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition
Sayanta Adhikari
Rishav Kumar
Konda Reddy Mopuri
Rajalakshmi Pachamuthu
89
0
0
05 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving
  Machine Unlearning
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Zihao Zhao
Yijiang Li
Yue Yang
Wenqing Zhang
Nuno Vasconcelos
Yinzhi Cao
MU
76
1
0
04 Nov 2024
CNN Explainability with Multivector Tucker Saliency Maps for
  Self-Supervised Models
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
Aymene Mohammed Bouayed
Samuel Deslauriers-Gauthier
Adrian Iaccovelli
D. Naccache
76
0
0
30 Oct 2024
Peter Parker or Spiderman? Disambiguating Multiple Class Labels
Peter Parker or Spiderman? Disambiguating Multiple Class Labels
Nuthan Mummani
Simran Ketha
Venkatakrishnan Ramaswamy
51
0
0
25 Oct 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate
  Activation Maximization in Deep Neural Networks
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
C. Linse
Erhardt Barth
Thomas Martinetz
63
1
0
22 Oct 2024
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
Chen Qian
Dongrui Liu
Jie Zhang
Yong Liu
Jing Shao
82
1
0
22 Oct 2024
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio
  Classification
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
Ashish Seth
Ramaneswaran Selvakumar
Sonal Kumar
Sreyan Ghosh
Dinesh Manocha
VLM
56
0
0
19 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Tatzel
Bálint Mucsányi
Osane Hackel
Philipp Hennig
115
0
0
18 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint
Rethinking Visual Counterfactual Explanations Through Region Constraint
Bartlomiej Sobieski
Jakub Grzywaczewski
Bartlomiej Sadlej
Matthew Tivnan
P. Biecek
CML
79
1
0
16 Oct 2024
Rethinking the Principle of Gradient Smooth Methods in Model Explanation
Rethinking the Principle of Gradient Smooth Methods in Model Explanation
Linjiang Zhou
Chao Ma
Zepeng Wang
Xiaochuan Shi
FAtt
64
0
0
10 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
268
0
0
10 Oct 2024
Mechanistic?
Mechanistic?
Naomi Saphra
Sarah Wiegreffe
AI4CE
75
13
0
07 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation
Riemann Sum Optimization for Accurate Integrated Gradients Computation
Swadesh Swain
Shree Singhi
76
0
0
05 Oct 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAMLFAtt
83
0
0
02 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo
Amaury Lancelin
Corentin Herbert
Freddy Bouchet
AI4CE
209
0
0
01 Oct 2024
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Tillmann Rheude
Andreas Wirtz
Arjan Kuijper
Stefan Wesarg
53
1
0
30 Sep 2024
Leveraging Local Structure for Improving Model Explanations: An
  Information Propagation Approach
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
Ruo Yang
Binghui Wang
M. Bilgic
FAtt
65
0
0
24 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry
  and Expression Classifiers using Synthetic Interventions
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
Tim Buchner
Niklas Penzel
Orlando Guntinas-Lichius
Joachim Denzler
CVBM
89
2
0
24 Sep 2024
Beyond Skip Connection: Pooling and Unpooling Design for Elimination
  Singularities
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
Chengkun Sun
Jinqian Pan
Juoli Jin
Russell Stevens Terry
Jiang Bian
Jie Xu
66
0
0
20 Sep 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Suryansh Vidya
Kush Gupta
Amir Aly
Andy Wills
Emmanuel Ifeachor
Rohit Shankar
134
1
0
19 Sep 2024
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
Eleonora Mancini
Francesco Paissan
Mirco Ravanelli
Cem Subakan
60
2
0
13 Sep 2024
MV-Match: Multi-View Matching for Domain-Adaptive Identification of
  Plant Nutrient Deficiencies
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies
Jinhui Yi
Yanan Luo
Marion Deichmann
Gabriel Schaaf
Juergen Gall
76
0
0
02 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
235
2
0
02 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAIAI4TS
303
37
0
30 Aug 2024
Data-Centric Machine Learning for Earth Observation: Necessary and
  Sufficient Features
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
Hiba Najjar
Marlon Nuske
Andreas Dengel
51
4
0
21 Aug 2024
Towards Aligned Data Removal via Twin Machine Unlearning
Towards Aligned Data Removal via Twin Machine Unlearning
Zheng Lin
Zheng Lin
Yuyao Sun
Rong Jin
Yuhang Wang
Haichang Gao
Zhenxing Niu
MU
68
0
0
21 Aug 2024
PRECISe : Prototype-Reservation for Explainable Classification under
  Imbalanced and Scarce-Data Settings
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings
Vaibhav Ganatra
Drishti Goel
65
0
0
11 Aug 2024
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
Haoran Zheng
Utku Pamuksuz
91
0
0
08 Aug 2024
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale
  Image Shadow Removal
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal
Eirini Cholopoulou
Dimitrios E. Diamantis
Dimitra-Christina C. Koutsiou
D. Iakovidis
99
0
0
07 Aug 2024
2D-OOB: Attributing Data Contribution through Joint Valuation Framework
2D-OOB: Attributing Data Contribution through Joint Valuation Framework
Yifan Sun
Jingyan Shen
Yongchan Kwon
TDI
87
2
0
07 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
MU
165
13
0
01 Aug 2024
MaskInversion: Localized Embeddings via Optimization of Explainability
  Maps
MaskInversion: Localized Embeddings via Optimization of Explainability Maps
Walid Bousselham
Sofian Chaybouti
Christian Rupprecht
Vittorio Ferrari
Hilde Kuehne
119
0
0
29 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations
On the Evaluation Consistency of Attribution-based Explanations
Jiarui Duan
Haoling Li
Haofei Zhang
Hao Jiang
Mengqi Xue
Li Sun
Mingli Song
Mingli Song
XAI
84
1
0
28 Jul 2024
Learning at a Glance: Towards Interpretable Data-limited Continual
  Semantic Segmentation via Semantic-Invariance Modelling
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Bo Yuan
Danpei Zhao
Z. Shi
VLMCLL
88
3
0
22 Jul 2024
Deep multimodal saliency parcellation of cerebellar pathways: linking
  microstructure and individual function through explainable multitask learning
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning
Ari Tchetchenian
L. Zekelman
Yuqian Chen
J. Rushmore
Fan Zhang
...
N. Makris
Yogesh Rathi
Erik H. W. Meijering
Yang Song
L. O’Donnell
76
1
0
21 Jul 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI
  Assessment
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
Yong-Hyun Park
Junghoon Seo
Bomseok Park
Seongsu Lee
Junghyo Jo
AAML
76
0
0
17 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet
Layer-Wise Relevance Propagation with Conservation Property for ResNet
Seitaro Otsuki
T. Iida
Félix Doublet
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Komei Sugiura
FAtt
116
4
0
12 Jul 2024
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
75
3
0
12 Jul 2024
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