| One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification | Feb 28, 2022 | AllCell Detection | CodeCode Available | 1 |
| Nuclei panoptic segmentation and composition regression with multi-task deep neural networks | Feb 23, 2022 | DecoderExplainable Models | —Unverified | 0 |
| SLISEMAP: Supervised dimensionality reduction through local explanations | Jan 12, 2022 | ClassificationDimensionality Reduction | CodeCode Available | 1 |
| CoNIC: Colon Nuclei Identification and Counting Challenge 2022 | Nov 29, 2021 | Explainable ModelsNuclear Segmentation | —Unverified | 0 |
| A deep convolutional neural network for classification of Aedes albopictus mosquitoes | Oct 29, 2021 | ClassificationExplainable Models | —Unverified | 0 |
| From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems | Oct 28, 2021 | counterfactualExplainable Models | —Unverified | 0 |
| Physically Explainable CNN for SAR Image Classification | Oct 27, 2021 | ClassificationExplainable Models | CodeCode Available | 1 |
| Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes | Oct 17, 2021 | Explainable ModelsLanguage Modelling | —Unverified | 0 |
| Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation | Oct 16, 2021 | Common Sense ReasoningExplainable Models | —Unverified | 0 |
| Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction | Oct 9, 2021 | Deep LearningExplainable Models | —Unverified | 0 |
| Consistent Explanations by Contrastive Learning | Oct 1, 2021 | Contrastive LearningExplainable artificial intelligence | CodeCode Available | 1 |
| FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop | Sep 12, 2021 | Explainable ModelsFact Checking | —Unverified | 0 |
| Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data | Sep 10, 2021 | BIG-bench Machine LearningExplainable Models | CodeCode Available | 0 |
| Deriving Explanation of Deep Visual Saliency Models | Sep 8, 2021 | Explainable ModelsSaliency Prediction | —Unverified | 0 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 |
| Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks | Aug 18, 2021 | counterfactualExplainable Models | —Unverified | 0 |
| Mixture of Linear Models Co-supervised by Deep Neural Networks | Aug 5, 2021 | Decision MakingExplainable Models | —Unverified | 0 |
| UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations | Aug 1, 2021 | Explainable ModelsTask 2 | —Unverified | 0 |
| When and How to Fool Explainable Models (and Humans) with Adversarial Examples | Jul 5, 2021 | BIG-bench Machine LearningExplainable Models | CodeCode Available | 0 |
| An XAI Approach to Deep Learning Models in the Detection of DCIS | Jun 27, 2021 | Explainable Artificial Intelligence (XAI)Explainable Models | —Unverified | 0 |
| Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding | Jun 16, 2021 | Explainable ModelsMotion Compensation | CodeCode Available | 1 |
| Causality in Neural Networks -- An Extended Abstract | Jun 3, 2021 | BIG-bench Machine LearningDisentanglement | —Unverified | 0 |
| Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach | May 11, 2021 | Dictionary LearningExplainable Models | CodeCode Available | 1 |
| Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning | May 5, 2021 | Adversarial AttackAnomaly Detection | CodeCode Available | 0 |
| Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases | Feb 22, 2021 | Entity AlignmentExplainable Models | —Unverified | 0 |
