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Jishnu Mukhoti

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Fine-tuning can cripple your foundation model; preserving features may be the solution

Aug 25, 2023
Jishnu Mukhoti, Yarin Gal, Philip H. S. Torr, Puneet K. Dokania

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Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning

Dec 09, 2022
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim

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Raising the Bar on the Evaluation of Out-of-Distribution Detection

Sep 24, 2022
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

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Deep Deterministic Uncertainty for Semantic Segmentation

Oct 29, 2021
Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal

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Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Feb 23, 2021
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal

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On Batch Normalisation for Approximate Bayesian Inference

Dec 24, 2020
Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal

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Calibrating Deep Neural Networks using Focal Loss

Feb 21, 2020
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania

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Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation

Jun 20, 2019
Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip Torr, Stuart Golodetz

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On the Importance of Strong Baselines in Bayesian Deep Learning

Nov 30, 2018
Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal

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Evaluating Bayesian Deep Learning Methods for Semantic Segmentation

Nov 30, 2018
Jishnu Mukhoti, Yarin Gal

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