| Diffusion-convolutional neural networks J Atwood, D Towsley Advances in neural information processing systems 29, 2016 | 1512 | 2016 |
| 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 | 272 | 2017 |
| 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 | 225 | 2020 |
| 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 | 185 | 2011 |
| 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 | 24 | 2020 |
| No classification without representation: Assessing geodiversity issues in open data sets for the developing world. arXiv S Shankar, Y Halpern, E Breck, J Atwood, J Wilson, D Sculley arXiv preprint arXiv:1711.08536, 2017 | 24 | 2017 |
| Detecting extrapolation with local ensembles D Madras, J Atwood, A D'Amour International Conference on Learning Representations, 2019 | 20 | 2019 |
| 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 | 20 | 2014 |
| 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 | |
| Search-convolutional neural networks J Atwood, D Towsley CoRR, abs/1511.02136 20, 2015 | 19 | 2015 |
| Fair treatment allocations in social networks J Atwood, H Srinivasan, Y Halpern, D Sculley arXiv preprint arXiv:1911.05489, 2019 | 13 | 2019 |
| Sparse diffusion-convolutional neural networks J Atwood, S Pal, D Towsley, A Swami arXiv preprint arXiv:1710.09813, 2017 | 8 | 2017 |
| Detecting extrapolation with influence functions D Madras, J Atwood, A D’Amour ICML Workshop, 2019 | 2 | 2019 |
| 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 | 2 | 2018 |
| Learning to generate networks J Atwood, D Towsley, K Gile, D Jensen arXiv preprint arXiv:1405.5868, 2014 | 2 | 2014 |
| Detecting underspecification with local ensembles D Madras, J Atwood, A D'Amour arXiv preprint arXiv:1910.09573, 2019 | 1 | 2019 |
| 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 |
Don TowsleyUniversity of MassachusettsZweryfikowany adres z cs.umass.edu
