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Rae, Jack W
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1

Use of deep learning to develop continuous-risk models for ..:

Tomašev, Nenad ; Harris, Natalie ; Baur, Sebastien...
Nature Protocols.  16 (2021)  6 - p. 2765-2787 , 2021
Link: https://doi.org/10.1038/..
 
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2

A clinically applicable approach to continuous prediction o..:

Tomašev, Nenad ; Glorot, Xavier ; Rae, Jack W....
Nature.  572 (2019)  7767 - p. 116-119 , 2019
Link: https://doi.org/10.1038/..
 
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3

Gemini: A Family of Highly Capable Multimodal Models:

Gemini Team ; Anil, Rohan ; Borgeaud, Sebastian...
http://arxiv.org/abs/2312.11805.  , 2023
Link: http://arxiv.org/abs/231..
 
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4

Training Compute-Optimal Large Language Models:

Hoffmann, Jordan ; Borgeaud, Sebastian ; Mensch, Arthur...
http://arxiv.org/abs/2203.15556.  , 2022
Link: http://arxiv.org/abs/220..
 
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5

Improving language models by retrieving from trillions of t..:

Borgeaud, Sebastian ; Mensch, Arthur ; Hoffmann, Jordan...
http://arxiv.org/abs/2112.04426.  , 2021
Link: http://arxiv.org/abs/211..
 
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6

Scaling Language Models: Methods, Analysis & Insights from ..:

Rae, Jack W ; Borgeaud, Sebastian ; Cai, Trevor...
http://arxiv.org/abs/2112.11446.  , 2021
Link: http://arxiv.org/abs/211..
 
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7

Top-KAST: Top-K Always Sparse Training:

Jayakumar, Siddhant M ; Pascanu, Razvan ; Rae, Jack W..
http://arxiv.org/abs/2106.03517.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Do Transformers Need Deep Long-Range Memory:

Rae, Jack W ; Razavi, Ali
http://arxiv.org/abs/2007.03356.  , 2020
Link: http://arxiv.org/abs/200..
 
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9

V-MPO: On-Policy Maximum a Posteriori Policy Optimization f..:

Song, H. Francis ; Abdolmaleki, Abbas ; Springenberg, Jost Tobias...
http://arxiv.org/abs/1909.12238.  , 2019
Link: http://arxiv.org/abs/190..
 
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10

Compressive Transformers for Long-Range Sequence Modelling:

Rae, Jack W ; Potapenko, Anna ; Jayakumar, Siddhant M.
http://arxiv.org/abs/1911.05507.  , 2019
Link: http://arxiv.org/abs/191..
 
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11

Stabilizing Transformers for Reinforcement Learning:

Parisotto, Emilio ; Song, H. Francis ; Rae, Jack W...
http://arxiv.org/abs/1910.06764.  , 2019
Link: http://arxiv.org/abs/191..
 
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12

Meta-Learning Deep Energy-Based Memory Models:

Bartunov, Sergey ; Rae, Jack W ; Osindero, Simon.
http://arxiv.org/abs/1910.02720.  , 2019
Link: http://arxiv.org/abs/191..
 
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13

Meta-Learning Neural Bloom Filters:

Rae, Jack W ; Bartunov, Sergey ; Lillicrap, Timothy P
http://arxiv.org/abs/1906.04304.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

Memory-based Parameter Adaptation:

Sprechmann, Pablo ; Jayakumar, Siddhant M ; Rae, Jack W...
http://arxiv.org/abs/1802.10542.  , 2018
Link: http://arxiv.org/abs/180..
 
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15

Fast Parametric Learning with Activation Memorization:

Rae, Jack W ; Dyer, Chris ; Dayan, Peter.
http://arxiv.org/abs/1803.10049.  , 2018
Link: http://arxiv.org/abs/180..
 
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