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06/23/2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Magnetic Resonance Imaging (MRI) is considered the gold standard of medi...
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06/14/2023
Heterogeneous Continual Learning
We propose a novel framework and a solution to tackle the continual lear...
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08/26/2022
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
We present the results of the NLP Community Metasurvey. Run from May to ...
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10/13/2021
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
Continual learning (CL) aims to learn a sequence of tasks without forget...
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06/02/2021
Online Coreset Selection for Rehearsal-based Continual Learning
A dataset is a shred of crucial evidence to describe a task. However, ea...
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06/22/2020
Learning to Generate Noise for Robustness against Multiple Perturbations
Adversarial learning has emerged as one of the successful techniques to ...
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08/12/2019
Adversarial Neural Pruning
It is well known that neural networks are susceptible to adversarial per...
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04/08/2019
