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06/24/2023
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Self-supervised learning converts raw perceptual data such as images to ...
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01/05/2023
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI
In this paper, we explored the use of deep learning for the prediction o...
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10/30/2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
We introduce CAN, a simple, efficient and scalable method for self-super...
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10/22/2022
Leveraging Large Language Models for Multiple Choice Question Answering
While large language models (LLMs) like GPT-3 have achieved impressive r...
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08/08/2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Integrating functions on discrete domains into neural networks is key to...
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03/21/2022
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Pre-trained language models derive substantial linguistic and factual kn...
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05/30/2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
We propose a novel matrix autoencoder to map functional connectomes from...
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10/09/2020
Contrastive Learning with Hard Negative Samples
We consider the question: how can you sample good negative examples for ...
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08/27/2020
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characteri
We propose a novel integrated framework that jointly models complementar...
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07/03/2020
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
We propose an integrated deep-generative framework, that jointly models ...
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07/01/2020
Debiased Contrastive Learning
A prominent technique for self-supervised representation learning has be...
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02/19/2020
Strength from Weakness: Fast Learning Using Weak Supervision
We study generalization properties of weakly supervised learning. That i...
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06/12/2019