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Despite significant advances in machine learning, decision-making of artificial agents is still not perfect and often requires post-hoc human interventions.
“Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex” Publisher: Soc Neuroscience
William Bosking, Ying Zhang, Brett Schofield and David Fitzpatrick · 1997
Earlier work this paper cites.
“Prototype theory”
Dirk Geeraerts · 2008
Earlier work this paper cites.
“The Caltech-UCSD Birds-200-2011 Dataset”, 2011
C. Wah et al · 2011
Earlier work this paper cites.
“Strong supervision from weak annotation: Interactive training of deformable part models”
Steve Branson, Pietro Perona and Serge Belongie · 2011
Earlier work this paper cites.
“Spaces in the brain: From neurons to meanings”
Christian Balkenius and Peter Gärdenfors · 2016
Earlier work this paper cites.
“Prototypical networks for few-shot learning”
Jake Snell, Kevin Swersky and Richard Zemel · 2017
Earlier work this paper cites.
“Deep bayesian active learning with image data”
Yarin Gal, Riashat Islam and Zoubin Ghahramani · 2017
Earlier work this paper cites.
“DeepIGeoS: a deep interactive geodesic framework for medical image segmentation” Publisher: IEEE
Guotai Wang et al · 2018
Earlier work this paper cites.
“Robust classification with convolutional prototype learning”
Hong-Ming Yang, Xu-Yao Zhang, Fei Yin and Cheng-Lin Liu · 2018
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“Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions”
Oscar Li, Hao Liu, Chaofan Chen and Cynthia Rudin · 2018
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“Few-shot semantic segmentation with prototype learning.”
Nanqing Dong and Eric Xing · 2018
Cited alongside, same era.
“This looks like that: deep learning for interpretable image recognition”
Chaofan Chen et al · 2019
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“Interpretable image recognition with hierarchical prototypes”
Peter Hase, Chaofan Chen, Oscar Li and Cynthia Rudin · 2019
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“Deep interactive learning: an efficient labeling approach for deep learning-based osteosarcoma treatment response assessment”
“What is Symbolic Cognition?”
Ronald Planer · 2021
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“Towards Scalable and Unified Example-based Explanation and Outlier Detection”
Penny Chong, Ngai-Man Cheung, Yuval Elovici and Alexander Binder · 2021
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“Neural Prototype Trees for Interpretable Fine-grained Image Recognition”
Meike Nauta, Ron van Bree and Christin Seifert · 2021
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“Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation”
Lei Ke et al · 2021
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“How to represent part-whole hierarchies in a neural network”
Geoffrey Hinton · 2021
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“Deformable protopnet: An interpretable image classifier using deformable prototypes”
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David Ho et al · 2020
Cited alongside, same era.
“Iteratively-refined interactive 3D medical image segmentation with multi-agent reinforcement learning”
Xuan Liao et al · 2020
Cited alongside, same era.
“Understanding the role of individual units in a deep neural network”
David Bau et al · 2020
Cited alongside, same era.
Jon Donnelly, Alina Barnett and Chaofan Chen · 2022
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“Concept-level Debugging of Part-Prototype Networks”
Andrea Bontempelli et al · 2023
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“A differentiable Gaussian Prototype Layer for explainable Segmentation”
Michael Gerstenberger, Steffen Maaß, Peter Eisert and Sebastian Bosse · 2023
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