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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
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Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,917 papers shown
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
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Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2019
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Dipesh Tamboli
S. Meena
Deepak Anand
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HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
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Self-explaining AI as an alternative to interpretable AI
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Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks
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Time-aware Large Kernel Convolutions
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Attentive Group Equivariant Convolutional Networks
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07 Feb 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
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06 Feb 2020
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Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning
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Black-Box Saliency Map Generation Using Bayesian Optimisation
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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
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Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
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Chengjin Sun
Jie Yang
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Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
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Yufeng Gu
Nicha Dvornek
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Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
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Extending Class Activation Mapping Using Gaussian Receptive Field
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Bum Jun Kim
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Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
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On Interpretability of Artificial Neural Networks: A Survey
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Fenglei Fan
Jinjun Xiong
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Convolutional Networks with Dense Connectivity
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Gao Huang
Zhuang Liu
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Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
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Restricting the Flow: Information Bottlenecks for Attribution
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Karl Schulz
Leon Sixt
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BackPACK: Packing more into backprop
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Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
International Conference on Learning Representations (ICLR), 2019
Nikaash Puri
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Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
International Conference on Learning Representations (ICLR), 2019
Bennet Breier
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When Explanations Lie: Why Many Modified BP Attributions Fail
International Conference on Machine Learning (ICML), 2019
Leon Sixt
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LS-Net: Fast Single-Shot Line-Segment Detector
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Van Nhan Nguyen
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Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
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19 Dec 2019
n
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127
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Learning Regional Attraction for Line Segment Detection
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Nan Xue
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Fudong Wang
Guisong Xia
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174
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259
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PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
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Jorge Fernández-Berni
R. Carmona-Galán
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107
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13 Dec 2019
Zooming into Face Forensics: A Pixel-level Analysis
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153
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SKD: Keypoint Detection for Point Clouds using Saliency Estimation
Georgi Tinchev
Adrian Penate-Sanchez
Maurice F. Fallon
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140
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Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
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Maximilian Schmidt
Jens Behrmann
T. Boskamp
Lena Hauberg-Lotte
Annette Peter
R. Casadonte
J. Kriegsmann
Peter Maass
OOD
118
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10 Dec 2019
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan
Jyoti Islam
Yanqing Zhang
MedIm
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10 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2019
Akanksha Atrey
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09 Dec 2019
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