Tolga Bolukbasi
Tolga Bolukbasi
Google Brain
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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 29, 4349-4357, 2016
Adaptive neural networks for efficient inference
T Bolukbasi, J Wang, O Dekel, V Saligrama
International Conference on Machine Learning, 527-536, 2017
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
Quantifying and reducing stereotypes in word embeddings
T Bolukbasi, KW Chang, J Zou, V Saligrama, A Kalai
arXiv preprint arXiv:1606.06121, 2016
Xrai: Better attributions through regions
A Kapishnikov, T Bolukbasi, F Viégas, M Terry
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Model selection by linear programming
J Wang, T Bolukbasi, K Trapeznikov, V Saligrama
European conference on computer vision, 647-662, 2014
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
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
Debiasing embeddings for reduced gender bias in text classification
F Prost, N Thain, T Bolukbasi
arXiv preprint arXiv:1908.02810, 2019
Resource constrained structured prediction
T Bolukbasi, KW Chang, J Wang, V Saligrama
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Outlier color identification for search and rescue
T Bolukbasi, P Tran
BU Department of Electrical and Computer Engineering Technical Reports, 1-25, 2012
An Interpretability Illusion for BERT
T Bolukbasi, A Pearce, A Yuan, A Coenen, E Reif, F Viégas, ...
arXiv preprint arXiv:2104.07143, 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
A Kapishnikov, S Venugopalan, B Avci, B Wedin, M Terry, T Bolukbasi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Machine learning in the real world with multiple objectives
T Bolukbasi
Boston University, 2018
Debiasing Embeddings for Fairer Text Classification
F Prost, N Thain, T Bolukbasi
Attribution and Generation of Saliency Visualizations for Machine-Learning Models
A Kapishnikov, T Bolukbasi, FB Viégas, MA Terry
US Patent App. 16/719,244, 2021
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
Robust Text Classifier on Test-Time Budgets
MR Parvez, T Bolukbasi, KW Chang, V Saligrama
arXiv preprint arXiv:1808.08270, 2018
Robust Text Classifier on Test-Time Budgets
M Rizwan Parvez, T Bolukbasi, KW Chang, V Saligrama
arXiv e-prints, arXiv: 1808.08270, 2018
Structured Prediction with Test-time Budget Constraints
T Bolukbasi, EDUKW Chang, J Wang, V Saligrama
CoRR, 2016
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