Alert button
Picture for Taylan Cemgil

Taylan Cemgil

Alert button

Generative models improve fairness of medical classifiers under distribution shifts

Apr 18, 2023
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, Taylan Cemgil, Sven Gowal

Figure 1 for Generative models improve fairness of medical classifiers under distribution shifts
Figure 2 for Generative models improve fairness of medical classifiers under distribution shifts
Figure 3 for Generative models improve fairness of medical classifiers under distribution shifts
Figure 4 for Generative models improve fairness of medical classifiers under distribution shifts
Viaarxiv icon

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Feb 28, 2022
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil

Figure 1 for Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Figure 2 for Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Figure 3 for Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Figure 4 for Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Viaarxiv icon

Role of Human-AI Interaction in Selective Prediction

Dec 13, 2021
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin Chadwick, Yoram Bachrach, Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

Figure 1 for Role of Human-AI Interaction in Selective Prediction
Figure 2 for Role of Human-AI Interaction in Selective Prediction
Figure 3 for Role of Human-AI Interaction in Selective Prediction
Figure 4 for Role of Human-AI Interaction in Selective Prediction
Viaarxiv icon

A Fine-Grained Analysis on Distribution Shift

Oct 21, 2021
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre Alvise-Rebuffi, Ira Ktena, Krishnamurthy, Dvijotham, Taylan Cemgil

Figure 1 for A Fine-Grained Analysis on Distribution Shift
Figure 2 for A Fine-Grained Analysis on Distribution Shift
Figure 3 for A Fine-Grained Analysis on Distribution Shift
Figure 4 for A Fine-Grained Analysis on Distribution Shift
Viaarxiv icon

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

Apr 08, 2021
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

Figure 1 for Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Figure 2 for Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Figure 3 for Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Figure 4 for Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Viaarxiv icon

Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains

Oct 05, 2020
Francisco J. R. Ruiz, Michalis K. Titsias, Taylan Cemgil, Arnaud Doucet

Figure 1 for Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Figure 2 for Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Figure 3 for Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Figure 4 for Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Viaarxiv icon

Contrastive Training for Improved Out-of-Distribution Detection

Jul 10, 2020
Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger

Figure 1 for Contrastive Training for Improved Out-of-Distribution Detection
Figure 2 for Contrastive Training for Improved Out-of-Distribution Detection
Figure 3 for Contrastive Training for Improved Out-of-Distribution Detection
Figure 4 for Contrastive Training for Improved Out-of-Distribution Detection
Viaarxiv icon

Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations

Dec 06, 2019
Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli

Figure 1 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 2 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 3 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Figure 4 for Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Viaarxiv icon

EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots

Sep 25, 2017
Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araujo, Taylan Cemgil, Metin Sitti

Figure 1 for EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots
Figure 2 for EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots
Figure 3 for EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots
Figure 4 for EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots
Viaarxiv icon