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04/19/2023
Knowledge Distillation Under Ideal Joint Classifier Assumption
Knowledge distillation is a powerful technique to compress large neural ...
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11/26/2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Few-shot learning is a rapidly evolving area of research in machine lear...
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08/18/2022
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks
Robust classification is essential in tasks like autonomous vehicle sign...
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07/31/2022
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
Objective: Electrocardiogram (ECG) signals commonly suffer noise interfe...
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10/22/2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
Unexplainable black-box models create scenarios where anomalies cause de...
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08/15/2020
Adversarial Filters for Secure Modulation Classification
Modulation Classification (MC) refers to the problem of classifying the ...
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11/26/2019