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10/12/2021
Application of Homomorphic Encryption in Medical Imaging
In this technical report, we explore the use of homomorphic encryption (...
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10/20/2020
Cross-Modal Information Maximization for Medical Imaging: CMIM
In hospitals, data are siloed to specific information systems that make ...
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03/09/2020
FoCL: Feature-Oriented Continual Learning for Generative Models
In this paper, we propose a general framework in continual learning for ...
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10/18/2019
The TCGA Meta-Dataset Clinical Benchmark
Machine learning is bringing a paradigm shift to healthcare by changing ...
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10/01/2019
Underwhelming Generalization Improvements From Controlling Feature Attribution
Overfitting is a common issue in machine learning, which can arise when ...
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08/14/2019
Dual Adversarial Inference for Text-to-Image Synthesis
Synthesizing images from a given text description involves engaging two ...
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04/16/2019
GradMask: Reduce Overfitting by Regularizing Saliency
With too few samples or too many model parameters, overfitting can inhib...
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03/28/2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
The scarcity of richly annotated medical images is limiting supervised d...
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10/08/2018
Towards the Latent Transcriptome
In this work we propose a method to compute continuous embeddings for km...
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06/18/2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
We study the challenges of applying deep learning to gene expression dat...
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11/28/2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
We investigate the integration of a planning mechanism into sequence-to-...
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06/13/2017
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
We investigate the integration of a planning mechanism into an encoder-d...
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05/31/2017