Tyler LaBonte

According to our database, Tyler LaBonte authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

2024

The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations.

Tyler LaBonte, John C. Hill, Xinchen Zhang, Vidya Muthukumar, Abhishek Kumar

CoRR, 2024

2023

Scaling Novel Object Detection with Weakly Supervised Detection Transformers.

Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

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

Towards Last-layer Retraining for Group Robustness with Fewer Annotations.

Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar

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

2020

Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations.

Michael C. Krygier, Tyler LaBonte, Carianne Martinez, Chance Norris, Krish Sharma, Lincoln N. Collins, Partha P. Mukherjee, Scott A. Roberts

CoRR, 2020

2019

We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations.

Tyler LaBonte, Carianne Martinez, Scott A. Roberts

CoRR, 2019