List of works - Karén Simonyan

A Compact and Discriminative Face Track Descriptor

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

scientific article published in Science

Deep Fisher Networks for Large-Scale Image Classification ⬇️

Descriptor Learning Using Convex Optimisation

Evolving Normalization-Activation Layers ⬇️

scientific article published in November 2020

Fisher Vector Faces in the Wild

Flamingo: a Visual Language Model for Few-Shot Learning ⬇️

scientific article published on 28 April 2022

Hierarchical Representations for Efficient Architecture Search ⬇️

scientific article published on November 2017

Immediate ROI Search for 3-D Medical Images

scholarly article by Karen Simonyan et al published 2013 in Lecture Notes in Computer Science

Immediate structured visual search for medical images

scientific article published on 01 January 2011

Improved protein structure prediction using potentials from deep learning

scientific article published on 15 January 2020

Large Scale Adversarial Representation Learning ⬇️

Large Scale GAN Training for High Fidelity Natural Image Synthesis ⬇️

Learning Local Feature Descriptors Using Convex Optimisation

scientific article published on August 2014

Learning to Navigate in Cities Without a Map ⬇️

article by Piotr Mirowski et al published 2018 in Advances in Neural Information Processing Systems 31

Mastering Atari, Go, chess and shogi by planning with a learned model

scientific article published on 23 December 2020

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm ⬇️

scientific article published on 5 December 2017

Mastering the game of Go without human knowledge ⬇️

scientific article

Natural Neural Networks ⬇️

Neural Machine Translation in Linear Time ⬇️

scientific article published on 15 March 2017

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

scientific article published on 01 December 2019

Scaling Language Models: Methods, Analysis & Insights from Training Gopher ⬇️

Spatial Transformer Networks ⬇️