Tyler LaBonte

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Weakly Supervised

Top Venues

Publications

Tyler LaBonte, John C. Hill, Xinchen Zhang, Vidya Muthukumar, Abhishek Kumar
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations. CoRR (2024)
Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar
Towards Last-layer Retraining for Group Robustness with Fewer Annotations. NeurIPS (2023)
Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar
Towards Last-layer Retraining for Group Robustness with Fewer Annotations. CoRR (2023)
Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. WACV (2023)
Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. CoRR (2022)
Michael C. Krygier, Tyler LaBonte, Carianne Martinez, Chance Norris, Krish Sharma, Lincoln N. Collins, Partha P. Mukherjee, Scott A. Roberts
Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations. CoRR (2020)
Tyler LaBonte, Carianne Martinez, Scott A. Roberts
We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. CoRR (2019)