Tolga Bolukbasi

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 31

Top Topics

Budget Constraints

Unlabeled Documents

Top Venues

EMNLP (Findings)

Publications

Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. EMNLP (Findings) (2023)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. CoRR (2023)
Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR (2023)
Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar
Self-Influence Guided Data Reweighting for Language Model Pre-training. CoRR (2023)
Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning. CoRR (2023)
Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar
Self-Influence Guided Data Reweighting for Language Model Pre-training. EMNLP (2023)
Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
Tracing Knowledge in Language Models Back to the Training Data. CoRR (2022)
Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) (2022)
Eldon Schoop, Ben Wedin, Andrei Kapishnikov, Tolga Bolukbasi, Michael Terry
IMACS: Image Model Attribution Comparison Summaries. CoRR (2022)
Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg
An Interpretability Illusion for BERT. CoRR (2021)
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CVPR (2021)
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CoRR (2021)
James Wexler, Mahima Pushkarna, Sara Robinson, Tolga Bolukbasi, Andrew Zaldivar
Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial. FAT* (2020)
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
The What-If Tool: Interactive Probing of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) (2020)
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR (2020)
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
The What-If Tool: Interactive Probing of Machine Learning Models. CoRR (2019)
Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry
Segment Integrated Gradients: Better attributions through regions. CoRR (2019)
Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama
Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) (2019)
Flavien Prost, Nithum Thain, Tolga Bolukbasi
Debiasing Embeddings for Reduced Gender Bias in Text Classification. CoRR (2019)
Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry
XRAI: Better Attributions Through Regions. ICCV (2019)
Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama
Zero-Shot Detection. CoRR (2018)
Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama
Building a Robust Text Classifier on a Test-Time Budget. CoRR (2018)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Efficient Inference. ICML (2017)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR (2017)
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
Resource Constrained Structured Prediction. AAAI (2017)
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
Quantifying and Reducing Stereotypes in Word Embeddings. CoRR (2016)
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR (2016)
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS (2016)
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
Structured Prediction with Test-time Budget Constraints. CoRR (2016)
Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR (2015)
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama
Model Selection by Linear Programming. ECCV (2) (2014)