Automated Curriculum Learning for Neural Networks. - Alex Graves; Marc G. Bellemare; Jacob Menick; Rémi Munos; Koray Kavukcuoglu (ICML, 2017)

Noisy Networks for Exploration. - Meire Fortunato; Mohammad Gheshlaghi Azar; Bilal Piot; Jacob Menick; Ian Osband; Alex Graves; Vlad Mnih; Rémi Munos; Demis Hassabis; Olivier Pietquin; Charles Blundell; Shane Legg (CoRR, 2017)

Noisy Networks For Exploration. - Meire Fortunato; Mohammad Gheshlaghi Azar; Bilal Piot; Jacob Menick; Matteo Hessel; Ian Osband; Alex Graves; Volodymyr Mnih; Rémi Munos; Demis Hassabis; Olivier Pietquin; Charles Blundell; et al. (ICLR (Poster), 2018)

Associative Compression Networks for Representation Learning. - Alex Graves; Jacob Menick; Aäron van den Oord (CoRR, 2018)

Generating High fidelity Images with subscale pixel Networks and Multidimensional Upscaling. - Jacob Menick; Nal Kalchbrenner (ICLR, 2019)

Multiplicative Interactions and Where to Find Them. - Siddhant M. Jayakumar; Wojciech M. Czarnecki; Jacob Menick; Jonathan Schwarz; Jack W. Rae; Simon Osindero; Yee Whye Teh; Tim Harley; Razvan Pascanu (ICLR, 2020)

Rigging the Lottery: Making All Tickets Winners. - Utku Evci; Trevor Gale; Jacob Menick; Pablo Samuel Castro; Erich Elsen (ICML, 2020)

A Practical Sparse Approximation for Real Time Recurrent Learning. - Jacob Menick; Erich Elsen; Utku Evci; Simon Osindero; Karen Simonyan; Alex Graves (CoRR, 2020)

Practical Real Time Recurrent Learning with a Sparse Approximation. - Jacob Menick; Erich Elsen; Utku Evci; Simon Osindero; Karen Simonyan; Alex Graves (ICLR, 2021)

Generating images with sparse representations. - Charlie Nash; Jacob Menick; Sander Dieleman; Peter W. Battaglia (ICML, 2021)

Multimodal Few-Shot Learning with Frozen Language Models. - Maria Tsimpoukelli; Jacob Menick; Serkan Cabi; S. M. Ali Eslami; Oriol Vinyals; Felix Hill (NeurIPS, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Improving Language Models by Retrieving from Trillions of Tokens. - Sebastian Borgeaud; Arthur Mensch; Jordan Hoffmann; Trevor Cai; Eliza Rutherford; Katie Millican; George van den Driessche 002; Jean-Baptiste Lespiau; Bogdan Damoc; Aidan Clark; Diego de Las Casas; Aurelia Guy; et al. (ICML, 2022)

Teaching language models to support answers with verified quotes. - Jacob Menick; Maja Trebacz; Vladimir Mikulik; John Aslanides; H. Francis Song; Martin J. Chadwick; Mia Glaese; Susannah Young; Lucy Campbell-Gillingham; Geoffrey Irving; Nat McAleese (CoRR, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - Jean-Baptiste Alayrac; Jeff Donahue; Pauline Luc; Antoine Miech; Iain Barr; Yana Hasson; Karel Lenc; Arthur Mensch; Katie Millican; Malcolm Reynolds; Roman Ring; Eliza Rutherford; et al. (CoRR, 2022)