Tolga Bolukbasi
Tolga Bolukbasi
Google Brain
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Title
Cited by
Cited by
Year
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai
Advances in neural information processing systems, 4349-4357, 2016
10132016
Adaptive neural networks for efficient inference
T Bolukbasi, J Wang, O Dekel, V Saligrama
arXiv preprint arXiv:1702.07811, 2017
118*2017
Quantifying and reducing stereotypes in word embeddings
T Bolukbasi, KW Chang, J Zou, V Saligrama, A Kalai
arXiv preprint arXiv:1606.06121, 2016
522016
The what-if tool: Interactive probing of machine learning models
J Wexler, M Pushkarna, T Bolukbasi, M Wattenberg, F Viégas, J Wilson
IEEE transactions on visualization and computer graphics 26 (1), 56-65, 2019
472019
Zero shot detection
P Zhu, H Wang, V Saligrama
IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 998-1010, 2019
352019
Model selection by linear programming
J Wang, T Bolukbasi, K Trapeznikov, V Saligrama
European Conference on Computer Vision, 647-662, 2014
292014
Bing++: A fast high quality object proposal generator at 100fps
Z Zhang, Y Liu, T Bolukbasi, MM Cheng, V Saligrama
arXiv preprint arXiv:1511.04511 1, 2015
222015
Xrai: Better attributions through regions
A Kapishnikov, T Bolukbasi, F Viégas, M Terry
Proceedings of the IEEE International Conference on Computer Vision, 4948-4957, 2019
14*2019
Resource constrained structured prediction
T Bolukbasi, KW Chang, J Wang, V Saligrama
arXiv preprint arXiv:1602.08761, 2016
102016
Debiasing embeddings for reduced gender bias in text classification
F Prost, N Thain, T Bolukbasi
arXiv preprint arXiv:1908.02810, 2019
92019
Outlier color identification for search and rescue
T Bolukbasi, P Tran
BU Department of Electrical and Computer Engineering Technical Reports, 1-25, 2012
42012
Machine learning in the real world with multiple objectives
T Bolukbasi
Boston University, 2018
12018
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ...
arXiv preprint arXiv:2008.05122, 2020
2020
Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial
J Wexler, M Pushkarna, S Robinson, T Bolukbasi, A Zaldivar
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
2020
Peer Reviewed Publications
V Yadav
2019
Debiasing Embeddings for Fairer Text Classification
F Prost, N Thain, T Bolukbasi
2019
Robust Text Classifier on Test-Time Budgets
MR Parvez, T Bolukbasi, KW Chang, V Saligrama
2018
Robust Text Classifier on Test-Time Budgets
M Rizwan Parvez, T Bolukbasi, KW Chang, V Saligrama
arXiv, arXiv: 1808.08270, 2018
2018
Structured Prediction with Test-time Budget Constraints
T Bolukbasi, EDUKW Chang, J Wang, V Saligrama
CoRR, 2016
2016
Supplementary Material: Model Selection by Linear Programming
J Wang, T Bolukbasi, K Trapeznikov, V Saligrama
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