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08/16/2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
Prototypical parts-based networks are becoming increasingly popular due ...
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06/18/2023
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
Multiple Instance Learning (MIL) is a weakly-supervised problem in which...
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03/14/2023
ICICLE: Interpretable Class Incremental Continual Learning
Continual learning enables incremental learning of new tasks without for...
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01/28/2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
We introduce ProtoSeg, a novel model for interpretable semantic image se...
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08/21/2022
ProPaLL: Probabilistic Partial Label Learning
Partial label learning is a type of weakly supervised learning, where ea...
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12/06/2021
Interpretable Image Classification with Differentiable Prototypes Assignment
We introduce ProtoPool, an interpretable image classification model with...
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10/30/2021
A Non-Deterministic Multiset Query Language
We develop a multiset query and update language executable in a term rew...
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08/24/2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability
Multiple Instance Learning (MIL) gains popularity in many real-life mach...
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07/28/2021
SONG: Self-Organizing Neural Graphs
Recent years have seen a surge in research on deep interpretable neural ...
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06/21/2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Recently introduced self-supervised methods for image representation lea...
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12/02/2020
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology
In this work, we analyze if it is possible to distinguish between differ...
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11/29/2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
In this paper, we introduce ProtoPShare, a self-explained method that in...
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05/25/2020
Kernel Self-Attention in Deep Multiple Instance Learning
Multiple Instance Learning (MIL) is weakly supervised learning, which as...
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05/24/2020
Deep learning approach to describe and classify fungi microscopic images
Preliminary diagnosis of fungal infections can rely on microscopic exami...
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06/22/2019
Deep learning approach to description and classification of fungi microscopic images
Diagnosis of fungal infections can rely on microscopic examination, howe...
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12/21/2018
Persistence Bag-of-Words for Topological Data Analysis
Persistent homology (PH) is a rigorous mathematical theory that provides...
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05/18/2018
Processing of missing data by neural networks
We propose a general, theoretically justified mechanism for processing m...
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03/11/2018
Cascade context encoder for improved inpainting
In this paper, we analyze if cascade usage of the context encoder with i...
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02/13/2018
Persistence Codebooks for Topological Data Analysis
Topological data analysis, such as persistent homology has shown benefic...
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10/29/2017
A Study on Topological Descriptors for the Analysis of 3D Surface Texture
Methods from computational topology are becoming more and more popular i...
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01/22/2016