Tom Joy

12 papers A* 5Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.
Trans. Mach. Learn. Res.
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
2024 A* conf
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study.
NeurIPS
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip Torr, Amartya Sanyal, Puneet K. Dokania
2024 J jnl
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study.
CoRR
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania
2023 J jnl
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.
CoRR
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
2023 A* conf
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration.
AAAI
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2023 A* conf
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration.
CVPR
Kemal Oksuz, Tom Joy, Puneet K. Dokania
2023 J jnl
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration.
CoRR
Kemal Oksuz, Tom Joy, Puneet K. Dokania
2022 A* conf
Learning Multimodal VAEs through Mutual Supervision.
ICLR
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy
2022 J jnl
Sample-dependent Adaptive Temperature Scaling for Improved Calibration.
CoRR
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2021 A* conf
Capturing Label Characteristics in VAEs.
ICLR
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, Siddharth Narayanaswamy, Tom Rainforth
2021 J jnl
Learning Multimodal VAEs through Mutual Supervision.
CoRR
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth
2020 J jnl
Rethinking Semi-Supervised Learning in VAEs.
CoRR
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth