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06/07/2023
ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis
Domain generalization is critical for real-world applications of machine...
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05/03/2023
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology
Machine learning algorithms have the potential to improve patient outcom...
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06/03/2022
Additive MIL: Intrinsic Interpretability for Pathology
Multiple Instance Learning (MIL) has been widely applied in pathology to...
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04/11/2022
Rethinking Machine Learning Model Evaluation in Pathology
Machine Learning has been applied to pathology images in research and cl...
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11/18/2018
RePr: Improved Training of Convolutional Filters
A well-trained Convolutional Neural Network can easily be pruned without...
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03/02/2018
Protecting JPEG Images Against Adversarial Attacks
As deep neural networks (DNNs) have been integrated into critical system...
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02/15/2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
We present a novel deep learning architecture to address the natural lan...
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01/26/2018
Deflecting Adversarial Attacks with Pixel Deflection
CNNs are poised to become integral parts of many critical systems. Despi...
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12/27/2016
Semantic Perceptual Image Compression using Deep Convolution Networks
It has long been considered a significant problem to improve the visual ...
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12/06/2016
Condensed Memory Networks for Clinical Diagnostic Inferencing
Diagnosis of a clinical condition is a challenging task, which often req...
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10/10/2016
Neural Paraphrase Generation with Stacked Residual LSTM Networks
In this paper, we propose a novel neural approach for paraphrase generat...
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12/24/2012
