Scott C. Lowe

According to our database, Scott C. Lowe authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity.

Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul W. Fieguth, Angel X. Chang

CoRR, 2024

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders.

Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor

CoRR, 2024

BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale.

ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang

CoRR, 2024

BenthicNet: A global compilation of seafloor images for deep learning applications.

Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O'Brien, Elizabeth S. Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

CoRR, 2024

Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery.

Isaac Xu, Benjamin Misiuk, Scott C. Lowe, Martin Gillis, Thomas Trappenberg, Craig J. Brown

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

BarcodeBERT: Transformers for Biodiversity Analysis.

Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor

CoRR, 2023

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

Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams.

Scott C. Lowe, Louise P. McGarry, Jessica Douglas, Jason Newport, Sageev Oore, Christopher Whidden, Daniel J. Hasselman

CoRR, 2022

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators.

Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Label-free Monitoring of Self-Supervised Learning Progress.

Isaac Xu, Scott C. Lowe, Thomas Trappenberg

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021

LogAvgExp Provides a Principled and Performant Global Pooling Operator.

Scott C. Lowe, Thomas Trappenberg, Sageev Oore

CoRR, 2021

Logical Activation Functions: Logit-space equivalents of Boolean Operators.

Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore

CoRR, 2021

2019

Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test.

Lu Yihe, Scott C. Lowe, Penelope A. Lewis, Mark C. W. van Rossum

CoRR, 2019

Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls.

Nicholas Meade, Nicholas Barreyre, Scott C. Lowe, Sageev Oore

Proceedings of the Tenth International Conference on Computational Creativity, 2019