Tom Joy

According to our database, Tom Joy authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.

Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania

CoRR, 2023

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration.

Kemal Oksuz, Tom Joy, Puneet K. Dokania

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sample-Dependent Adaptive Temperature Scaling for Improved Calibration.

Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Multimodal VAEs through Mutual Supervision.

Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Capturing Label Characteristics in VAEs.

Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, Siddharth Narayanaswamy, Tom Rainforth

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Rethinking Semi-Supervised Learning in VAEs.

Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth

CoRR, 2020