Tolga Bolukbasi

34 papers A* 6Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Scalable Influence and Fact Tracing for Large Language Model Pretraining. ICLR Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney
2024	J	`jnl`	Scalable Influence and Fact Tracing for Large Language Model Pretraining. CoRR Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney
2023	J	`jnl`	Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning. CoRR Maximilian Mozes, Tolga Bolukbasi, Ann Yuan, Frederick Liu, Nithum Thain, Lucas Dixon
2023	A*	`conf`	Self-Influence Guided Data Reweighting for Language Model Pre-training. EMNLP Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar
2023	J	`jnl`	Self-Influence Guided Data Reweighting for Language Model Pre-training. CoRR Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar
2023	J	`jnl`	Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi
2023	—	`conf`	Towards Agile Text Classifiers for Everyone. EMNLP (Findings) Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2023	J	`jnl`	Towards Agile Text Classifiers for Everyone. CoRR Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2022	J	`jnl`	IMACS: Image Model Attribution Comparison Summaries. CoRR Eldon Schoop, Ben Wedin, Andrei Kapishnikov, Tolga Bolukbasi, Michael Terry
2022	—	`conf`	Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
2022	J	`jnl`	Tracing Knowledge in Language Models Back to the Training Data. CoRR Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
2021	J	`jnl`	An Interpretability Illusion for BERT. CoRR Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg
2021	A*	`conf`	Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CVPR Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
2021	J	`jnl`	Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CoRR Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
2020	—	`conf`	Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial. FAT* James Wexler, Mahima Pushkarna, Sara Robinson, Tolga Bolukbasi, Andrew Zaldivar
2020	—	`conf`	The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
2020	J	`jnl`	The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
2020	J	`jnl`	The What-If Tool: Interactive Probing of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2019	J	`jnl`	Debiasing Embeddings for Reduced Gender Bias in Text Classification. CoRR Flavien Prost, Nithum Thain, Tolga Bolukbasi
2019	—	`conf`	Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama
2019	J	`jnl`	Segment Integrated Gradients: Better attributions through regions. CoRR Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry
2019	J	`jnl`	The What-If Tool: Interactive Probing of Machine Learning Models. CoRR James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2019	A*	`conf`	XRAI: Better Attributions Through Regions. ICCV Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry
2018	J	`jnl`	Building a Robust Text Classifier on a Test-Time Budget. CoRR Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama
2018	J	`jnl`	Zero-Shot Detection. CoRR Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama
2017	A*	`conf`	Adaptive Neural Networks for Efficient Inference. ICML Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	J	`jnl`	Adaptive Neural Networks for Fast Test-Time Prediction. CoRR Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	A*	`conf`	Resource Constrained Structured Prediction. AAAI Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2016	—	`conf`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016	J	`jnl`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
2016	J	`jnl`	Quantifying and Reducing Stereotypes in Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016	J	`jnl`	Structured Prediction with Test-time Budget Constraints. CoRR Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2015	J	`jnl`	BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
2014	—	`conf`	Model Selection by Linear Programming. ECCV (2) Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama