| 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 | 3978 | 2016 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2084 | 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 | 644 | 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 | 617 | 2024 |
| Adaptive neural networks for efficient inference T Bolukbasi, J Wang, O Dekel, V Saligrama International Conference on Machine Learning, 527-536, 2017 | 499* | 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 | 283 | 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 | 210 | 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 | 180 | 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 | 108 | 2021 |
| Quantifying and reducing stereotypes in word embeddings T Bolukbasi, KW Chang, J Zou, V Saligrama, A Kalai arXiv preprint arXiv:1606.06121, 2016 | 93 | 2016 |
| Debiasing embeddings for reduced gender bias in text classification F Prost, N Thain, T Bolukbasi arXiv preprint arXiv:1908.02810, 2019 | 82 | 2019 |
| 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 | 74 | 2022 |
| An interpretability illusion for bert T Bolukbasi, A Pearce, A Yuan, A Coenen, E Reif, F Viégas, ... arXiv preprint arXiv:2104.07143, 2021 | 63 | 2021 |
| Model selection by linear programming J Wang, T Bolukbasi, K Trapeznikov, V Saligrama Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 38 | 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 | 23 | 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 |
| 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 | 11 | 2023 |
| 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 |
| Towards agile text classifiers for everyone M Mozes, J Hoffmann, K Tomanek, M Kouate, N Thain, A Yuan, ... arXiv preprint arXiv:2302.06541, 2023 | 8 | 2023 |
Venkatesh SaligramaAI Professor and Amazon ScholarVerifisert e-postadresse på bu.edu