Hayden S. Helm | DeepAI

DeepAI AI Chat

Featured Co-authors

Li Chen
141 publications
Carey E. Priebe
102 publications
Joshua T. Vogelstein
61 publications
Vince Lyzinski
32 publications
Youngser Park
28 publications
Eric Eaton
22 publications
Weiwei Yang
20 publications
Amitabh Basu
15 publications
Avanti Athreya
15 publications
Jonathan Larson
13 publications
Joshua Agterberg
10 publications

∙ 05/09/2023

Comparing Foundation Models using Data Kernels

Recent advances in self-supervised learning and neural network scaling h...

0 Brandon Duderstadt, et al. ∙

∙ 02/27/2023

Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis

We propose a class of models based on Fisher's Linear Discriminant (FLD)...

0 Hayden S. Helm, et al. ∙

∙ 05/28/2022

Deep Learning with Label Noise: A Hierarchical Approach

Deep neural networks are susceptible to label noise. Existing methods to...

0 Li Chen, et al. ∙

∙ 02/25/2022

Mental State Classification Using Multi-graph Features

We consider the problem of extracting features from passive, multi-chann...

0 Guodong Chen, et al. ∙

∙ 09/29/2021

Towards a theory of out-of-distribution learning

What is learning? 20^st century formalizations of learning theory – whic...

55 Ali Geisa, et al. ∙

∙ 06/23/2021

Leveraging semantically similar queries for ranking via combining representations

In modern ranking problems, different and disparate representations of t...

0 Hayden S. Helm, et al. ∙

∙ 02/20/2021

Inducing a hierarchy for multi-class classification problems

In applications where categorical labels follow a natural hierarchy, cla...

4 Hayden S. Helm, et al. ∙

∙ 01/29/2021

Subgraph nomination: Query by Example Subgraph Retrieval in Networks

This paper introduces the subgraph nomination inference task, in which e...

5 Al-Fahad M. Al-Qadhi, et al. ∙

∙ 11/12/2020

A partition-based similarity for classification distributions

Herein we define a measure of similarity between classification distribu...

6 Hayden S. Helm, et al. ∙

∙ 08/21/2020

Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices

Random graphs are statistical models that have many applications, rangin...

0 Anton A. Alyakin, et al. ∙

∙ 05/20/2020

Learning to rank via combining representations

Learning to rank – producing a ranked list of items specific to a query ...

13 Hayden S. Helm, et al. ∙

∙ 04/27/2020

A general approach to progressive intelligence

In biological learning, data is used to improve performance on the task ...

42 Joshua T. Vogelstein, et al. ∙

∙ 04/27/2020

A general approach to progressive learning

In biological learning, data is used to improve performance on the task ...

6 Joshua T. Vogelstein, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world