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08/25/2023
AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations
Besides providing insights into how an image classifier makes its predic...
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06/15/2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
Machine learning (ML) is increasingly being used in critical decision-ma...
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04/11/2023
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification
Image classifiers are information-discarding machines, by design. Yet, h...
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04/02/2023
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages
The advent of deep learning has led to a significant gain in machine tra...
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11/25/2022
Overcoming Catastrophic Forgetting by XAI
Explaining the behaviors of deep neural networks, usually considered as ...
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07/26/2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Explaining artificial intelligence (AI) predictions is increasingly impo...
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12/06/2021
Manas: Mining Software Repositories to Assist AutoML
Today deep learning is widely used for building software. A software eng...
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05/31/2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Explaining the decisions of an Artificial Intelligence (AI) model is inc...
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09/16/2020
Bayesian estimation of trend components within Markovian regime-switching models for wholesale electricity prices: an application to the South Australian wholesale electricity
We discuss and extend methods for estimating Markovian-Regime-Switching ...
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05/03/2020
Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining the behaviors of deep neural networks, usually considered as ...
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05/03/2020
Repairing Deep Neural Networks: Fix Patterns and Challenges
Significant interest in applying Deep Neural Network (DNN) has fueled th...
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01/06/2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Interpreting the behaviors of Deep Neural Networks (usually considered a...
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09/19/2019
ContCap: A comprehensive framework for continual image captioning
While cutting-edge image captioning systems are increasingly describing ...
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06/19/2019
Estimation of Markovian-regime-switching models with independent regimes
Markovian-regime-switching (MRS) models are commonly used for modelling ...
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06/03/2019
A Comprehensive Study on Deep Learning Bug Characteristics
Deep learning has gained substantial popularity in recent years. Develop...
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04/12/2019