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James Atwood
James Atwood
Google DeepMind
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Cited by
Cited by
Year
Diffusion-convolutional neural networks
J Atwood, D Towsley
Advances in neural information processing systems 29, 2016
15682016
No classification without representation: Assessing geodiversity issues in open data sets for the developing world
S Shankar, Y Halpern, E Breck, J Atwood, J Wilson, D Sculley
arXiv preprint arXiv:1711.08536, 2017
2912017
Fairness is not static: deeper understanding of long term fairness via simulation studies
A D'Amour, H Srinivasan, J Atwood, P Baljekar, D Sculley, Y Halpern
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
2452020
Health benefits and cost-effectiveness of primary genetic screening for Lynch syndrome in the general population
TA Dinh, BI Rosner, JC Atwood, CR Boland, S Syngal, HFA Vasen, ...
Cancer prevention research 4 (1), 9-22, 2011
1872011
No classification without representation: Assessing geodiversity issues in open data sets for the developing world. arXiv 2017
S Shankar, Y Halpern, E Breck, J Atwood, J Wilson, D Sculley
arXiv preprint arXiv:1711.08536, 2017
272017
The inclusive images competition
J Atwood, Y Halpern, P Baljekar, E Breck, D Sculley, P Ostyakov, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
252020
Detecting extrapolation with local ensembles
D Madras, J Atwood, A D'Amour
International Conference on Learning Representations, 2019
232019
Efficient network generation under general preferential attachment
J Atwood, B Ribeiro, D Towsley
Proceedings of the 23rd International Conference on World Wide Web, 695-700, 2014
212014
Search-convolutional neural networks
J Atwood, D Towsley
CoRR, abs/1511.02136 20, 2015
202015
Health benefits and cost-effectiveness of primary genetic screening for Lynch syndrome in the general population. Cancer Prev. Res. 2011; 4: 9–22. doi: 10.1158/1940-6207
TA Dinh, BI Rosner, JC Atwood, CR Boland, S Syngal, HF Vasen, ...
CAPR-10-0262.[Europe PMC free article][Abstract][CrossRef][Google Scholar], 0
20
Fair treatment allocations in social networks
J Atwood, H Srinivasan, Y Halpern, D Sculley
arXiv preprint arXiv:1911.05489, 2019
172019
Sparse diffusion-convolutional neural networks
J Atwood, S Pal, D Towsley, A Swami
arXiv preprint arXiv:1710.09813, 2017
82017
Detecting underspecification with local ensembles
D Madras, J Atwood, A D'Amour
arXiv preprint arXiv:1910.09573, 2019
22019
Detecting extrapolation with influence functions
D Madras, J Atwood, A D’Amour
ICML Workshop, 2019
22019
Briarpatches: Pixel-space interventions for inducing demographic parity
AA Gritsenko, A D'Amour, J Atwood, Y Halpern, D Sculley
arXiv preprint arXiv:1812.06869, 2018
22018
Learning to generate networks
J Atwood, D Towsley, K Gile, D Jensen
arXiv preprint arXiv:1405.5868, 2014
22014
Inducing Group Fairness in LLM-Based Decisions
J Atwood, P Lahoti, A Balashankar, F Prost, A Beirami
arXiv preprint arXiv:2406.16738, 2024
2024
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
J Atwood, T Tian, B Packer, M Deodhar, J Chen, A Beutel, F Prost, ...
arXiv preprint arXiv:2307.05728, 2023
2023
Problems in Graph-Structured Modeling and Learning
J Atwood
2017
Agglomerative Clustering of Bagged Data Using Joint Distributions
D Arbour, J Atwood, A El-Kishky, D Jensen
2013
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Articles 1–20