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Geoffrey Irving
Geoffrey Irving
UK AI Safety Institute (AISI)
Verified email at naml.us - Homepage
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Cited by
Year
{TensorFlow}: a system for {Large-Scale} machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
310442016
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
24170*2015
Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593, 2019
8372019
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2015
8332015
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
7432021
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
International conference on machine learning, 2206-2240, 2022
6422022
Ethical and social risks of harm from language models
L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ...
arXiv preprint arXiv:2112.04359, 2021
5892021
Invertible finite elements for robust simulation of large deformation
G Irving, J Teran, R Fedkiw
Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer …, 2004
5022004
Tensorflow: A system for large-scale machine learning
A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
4712016
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4072023
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, G Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
3292015
Reward learning from human preferences and demonstrations in atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in neural information processing systems 31, 2018
3282018
Taxonomy of risks posed by language models
L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
3022022
Red teaming language models with language models
E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ...
arXiv preprint arXiv:2202.03286, 2022
2962022
Improving alignment of dialogue agents via targeted human judgements
A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ...
arXiv preprint arXiv:2209.14375, 2022
2832022
12th USENIX symposium on operating systems design and implementation (OSDI 16)
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
Savannah, GA, 265-283, 2016
2792016
TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2019
2782019
Robust quasistatic finite elements and flesh simulation
J Teran, E Sifakis, G Irving, R Fedkiw
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer …, 2005
2772005
Efficient simulation of large bodies of water by coupling two and three dimensional techniques
G Irving, E Guendelman, F Losasso, R Fedkiw
ACM SIGGRAPH 2006 Papers, 805-811, 2006
2312006
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
2172016
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