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, 2016 | 3540 | 2016 |
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 | 794 | 2023 |
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 | 555 | 2019 |
Adaptive neural networks for efficient inference T Bolukbasi, J Wang, O Dekel, V Saligrama International Conference on Machine Learning, 527-536, 2017 | 450* | 2017 |
Xrai: Better attributions through regions A Kapishnikov, T Bolukbasi, F Viégas, M Terry Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 251 | 2019 |
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 | 175 | 2020 |
Man is to Computer Programmer as Woman is to Homemaker T Bolukbasi, KW Chang, J Zou, V Saligrama, A Kalai Debiasing word embeddings 29, 2016 | 163 | 2016 |
Quantifying and reducing stereotypes in word embeddings T Bolukbasi, KW Chang, J Zou, V Saligrama, A Kalai arXiv preprint arXiv:1606.06121, 2016 | 88 | 2016 |
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 | 78 | 2021 |
Debiasing embeddings for reduced gender bias in text classification F Prost, N Thain, T Bolukbasi arXiv preprint arXiv:1908.02810, 2019 | 73 | 2019 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 69 | 2024 |
Towards tracing factual knowledge in language models back to the training data E Akyürek, T Bolukbasi, F Liu, B Xiong, I Tenney, J Andreas, K Guu arXiv preprint arXiv:2205.11482, 2022 | 51 | 2022 |
An interpretability illusion for bert T Bolukbasi, A Pearce, A Yuan, A Coenen, E Reif, F Viégas, ... arXiv preprint arXiv:2104.07143, 2021 | 51 | 2021 |
Model selection by linear programming J Wang, T Bolukbasi, K Trapeznikov, V Saligrama Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 37 | 2014 |
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 | 25 | 2015 |
Simfluence: Modeling the influence of individual training examples by simulating training runs K Guu, A Webson, E Pavlick, L Dixon, I Tenney, T Bolukbasi arXiv preprint arXiv:2303.08114, 2023 | 12 | 2023 |
Outline color identification for search and rescue T Bolukbasi, P Tran BU Department of Electrical and Computer Engineering Technical Reports, 1-25, 2012 | 12 | 2012 |
Resource constrained structured prediction T Bolukbasi, KW Chang, J Wang, V Saligrama Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 11 | 2017 |
Self-Influence Guided Data Reweighting for Language Model Pre-training M Thakkar, T Bolukbasi, S Ganapathy, S Vashishth, S Chandar, ... arXiv preprint arXiv:2311.00913, 2023 | 6 | 2023 |
Towards agile text classifiers for everyone M Mozes, J Hoffmann, K Tomanek, M Kouate, N Thain, A Yuan, ... arXiv preprint arXiv:2302.06541, 2023 | 6 | 2023 |