Graham Taylor

Graham Taylor

University of Guelph

H-index: 51

North America-Canada

About Graham Taylor

Graham Taylor, With an exceptional h-index of 51 and a recent h-index of 45 (since 2020), a distinguished researcher at University of Guelph, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

GCNet: Probing self-similarity learning for generalized counting network

Towards Stable Preferences for Stakeholder-aligned Machine Learning

BarcodeBERT: Transformers for Biodiversity Analysis

The mental health impacts of the COVID-19 pandemic among individuals with depressive, anxiety, and stressor-related disorders: A scoping review

Facilitating robotic control using a virtual reality interface

Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences

Graham Taylor Information

University

Position

and Vector Institute for Artificial Intelligence

Citations(all)

19551

Citations(since 2020)

14260

Cited By

10179

hIndex(all)

51

hIndex(since 2020)

45

i10Index(all)

117

i10Index(since 2020)

100

Email

University Profile Page

University of Guelph

Google Scholar

View Google Scholar Profile

Graham Taylor Skills & Research Interests

Machine Learning

Top articles of Graham Taylor

Title

Journal

Author(s)

Publication Date

LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization

arXiv preprint arXiv:2404.01282

Akshita Gupta

Gaurav Mittal

Ahmed Magooda

Ye Yu

Graham W Taylor

...

2024/4/1

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

Advances in Neural Information Processing Systems

Zahra Gharaee

ZeMing Gong

Nicholas Pellegrino

Iuliia Zarubiieva

Joakim Bruslund Haurum

...

2024/2/13

GCNet: Probing self-similarity learning for generalized counting network

Pattern Recognition

Mingjie Wang

Yande Li

Jun Zhou

Graham W Taylor

Minglun Gong

2024/4/21

Towards Stable Preferences for Stakeholder-aligned Machine Learning

arXiv preprint arXiv:2401.15268

Haleema Sheraz

Stefan C Kremer

Joshua August Skorburg

Graham Taylor

Walter Sinnott-Armstrong

...

2024/1/27

BarcodeBERT: Transformers for Biodiversity Analysis

arXiv e-prints

Pablo Millan Arias

Niousha Sadjadi

Monireh Safari

ZeMing Gong

Austin T Wang

...

2023/11

The mental health impacts of the COVID-19 pandemic among individuals with depressive, anxiety, and stressor-related disorders: A scoping review

Christine M Wickens

Veda Popal

Venesa Fecteau

Courtney Amoroso

Gina Stoduto

...

2023/12/14

Facilitating robotic control using a virtual reality interface

2023/4/11

Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences

arXiv preprint arXiv:2312.07833

C Kupferschmidt

AD Binns

KL Kupferschmidt

GW Taylor

2023/12/13

Quantum hypernetworks: Training binary neural networks in quantum superposition

arXiv preprint arXiv:2301.08292

Juan Carrasquilla

Mohamed Hibat-Allah

Estelle Inack

Alireza Makhzani

Kirill Neklyudov

...

2023/1/19

“Large Language Models” Do Much More than Just Language: Some Bioethical Implications of Multi-Modal AI

The American Journal of Bioethics

Joshua August Skorburg

Kristina L Kupferschmidt

Graham W Taylor

2023/10/3

Bandit-Driven Batch Selection for Robust Learning under Label Noise

Michal Lisicki

Graham W Taylor

Mihai Nica

2023/10/28

Zero-shot Clustering of Embeddings with Self-Supervised Learnt Encoders

Scott C Lowe

Joakim Bruslund Haurum

Sageev Oore

Thomas B Moeslund

Graham W Taylor

2023

Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data

Kevin Kasa

Graham W Taylor

2023/7/3

Zero-shot Clustering of Embeddings with Pretrained and Self-Supervised Learnt Encoders

Scott C Lowe

Joakim Bruslund Haurum

Sageev Oore

Thomas B Moeslund

Graham W Taylor

2023/12/12

Which Tokens to Use? Investigating Token Reduction in Vision Transformers

Joakim Bruslund Haurum

Sergio Escalera

Graham W Taylor

Thomas B Moeslund

2023

Getting the bugs out of AI: Advancing ecological research on arthropods through computer vision

Stefan Schneider

Graham W Taylor

Stefan C Kremer

John M Fryxell

2023/7

Sparsifiner: Learning sparse instance-dependent attention for efficient vision transformers

Cong Wei

Brendan Duke

Ruowei Jiang

Parham Aarabi

Graham W Taylor

...

2023

The Catalog Problem: Clustering and Ordering Variable-Sized Sets

Mateusz Maria Jurewicz

Graham W Taylor

Leon Derczynski

2023/6/15

Teachers of Humans, Teachers of Machines

Liberal Education: Analog Dreams in a Digital Age

Graham W Taylor

2023/9/12

Detecting Shortcuts using Mutual Information

Mohammed Adnan

Yani Ioannou

Kenyon Tsai

Angus Galloway

Hamid Tizhoosh

...

2023/10/13

See List of Professors in Graham Taylor University(University of Guelph)

Co-Authors

H-index: 145
Yann LeCun

Yann LeCun

New York University

H-index: 83
Rob Fergus

Rob Fergus

New York University

H-index: 51
H.R. Tizhoosh

H.R. Tizhoosh

University of Waterloo

H-index: 23
Medhat Moussa

Medhat Moussa

University of Guelph

H-index: 12
Terrance DeVries

Terrance DeVries

University of Guelph

H-index: 11
Fan Li

Fan Li

University of Guelph

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