Aaron Adcock

According to our database, Aaron Adcock authored at least 16 papers between 2013 and 2023.

Collaborative distances:

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

2023

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities.

Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross

CoRR, 2023

Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset.

Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky

CoRR, 2023

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition.

Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky

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

Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups.

Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The effectiveness of MAE pre-pretraining for billion-scale pretraining.

Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FACET: Fairness in Computer Vision Evaluation Benchmark.

Laura Gustafson, Chloé Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Systematic Study of Bias Amplification.

Melissa Hall, Laurens van der Maaten, Laura Gustafson, Aaron Adcock

CoRR, 2022

Revisiting Weakly Supervised Pre-Training of Visual Perception Models.

Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

PyTorchVideo: A Deep Learning Library for Video Understanding.

Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Forward Prediction for Physical Reasoning.

Rohit Girdhar, Laura Gustafson, Aaron Adcock, Laurens van der Maaten

CoRR, 2020

2016

Tree decompositions and social graphs.

Aaron B. Adcock, Blair D. Sullivan, Michael W. Mahoney

Internet Math., 2016

Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks.

Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

2015

Zig-Zag Numberlink is NP-Complete.

Aaron B. Adcock, Erik D. Demaine, Martin L. Demaine, Michael P. O'Brien, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan

J. Inf. Process., 2015

2014

Classification of hepatic lesions using the matching metric.

Aaron Adcock, Daniel L. Rubin, Gunnar E. Carlsson

Comput. Vis. Image Underst., 2014

2013

Evaluating OpenMP Tasking at Scale for the Computation of Graph Hyperbolicity.

Aaron B. Adcock, Blair D. Sullivan, Oscar R. Hernandez, Michael W. Mahoney

Proceedings of the OpenMP in the Era of Low Power Devices and Accelerators, 2013

Tree-Like Structure in Large Social and Information Networks.

Aaron B. Adcock, Blair D. Sullivan, Michael W. Mahoney

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013