追蹤
Geoffrey Irving
Geoffrey Irving
DeepMind
在 naml.us 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
296292016
{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
230022016
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
7672015
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
7532019
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
6962021
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
5662022
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
5112004
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
5082021
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
3952015
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
3152018
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
2792005
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
2742022
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
2652019
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
2602022
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
2552016
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
2362022
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
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
2112023
Deep network guided proof search
S Loos, G Irving, C Szegedy, C Kaliszyk
arXiv preprint arXiv:1701.06972, 2017
1882017
A quantized-diffusion model for rendering translucent materials
E d'Eon, G Irving
ACM transactions on graphics (TOG) 30 (4), 1-14, 2011
1852011
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