Alex Mott

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 8

Top Topics

Image Classification

Machine Learning

Reinforcement Learning

Global Optimization Problems

Top Venues

Publications

Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CVPR (2020)
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
The Effectiveness of Memory Replay in Large Scale Continual Learning. CoRR (2020)
Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
Orthogonal Gradient Descent for Continual Learning. AISTATS (2020)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CoRR (2019)
Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. CoRR (2019)
Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
Orthogonal Gradient Descent for Continual Learning. CoRR (2019)
Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Quantum adiabatic machine learning with zooming. CoRR (2019)
Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Solving a Higgs optimization problem with quantum annealing for machine learning. Nat. 550 (7676) (2017)