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09/14/2023
Interpretability-Aware Vision Transformer
Vision Transformers (ViTs) have become prominent models for solving vari...
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08/28/2023
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation
The Segment Anything Model (SAM) has rapidly been adopted for segmenting...
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01/31/2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Vision Transformer (ViT) has recently gained significant interest in sol...
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01/17/2023
Negative Flux Aggregation to Estimate Feature Attributions
There are increasing demands for understanding deep neural networks' (DN...
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11/23/2022
Learning Compact Features via In-Training Representation Alignment
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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09/09/2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
This work tackles a central machine learning problem of performance degr...
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01/10/2021
Adversarially robust and explainable model compression with on-device personalization for NLP applications
On-device Deep Neural Networks (DNNs) have recently gained more attentio...
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03/22/2020
