Shibani Santurkar

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 43

Top Topics

Image Synthesis

Policy Gradient

Top Venues

Publications

Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
Data Selection for Language Models via Importance Resampling. CoRR (2023)
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
Whose Opinions Do Language Models Reflect? ICML (2023)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR (2023)
Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
Data Selection for Language Models via Importance Resampling. NeurIPS (2023)
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
Whose Opinions Do Language Models Reflect? CoRR (2023)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR (2022)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. NeurIPS (2022)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. CoRR (2022)
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Editing a classifier by rewriting its prediction rules. CoRR (2021)
Eric Wong, Shibani Santurkar, Aleksander Madry
Leveraging Sparse Linear Layers for Debuggable Deep Networks. ICML (2021)
Eric Wong, Shibani Santurkar, Aleksander Madry
Leveraging Sparse Linear Layers for Debuggable Deep Networks. CoRR (2021)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. CoRR (2021)
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
BREEDS: Benchmarks for Subpopulation Shift. ICLR (2021)
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Editing a classifier by rewriting its prediction rules. NeurIPS (2021)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR (2020)
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
BREEDS: Benchmarks for Subpopulation Shift. CoRR (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
Implementation Matters in Deep RL: A Case Study on PPO and TRPO. ICLR (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Identifying Statistical Bias in Dataset Replication. ICML (2020)
Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
A Closer Look at Deep Policy Gradients. ICLR (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO. CoRR (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Identifying Statistical Bias in Dataset Replication. CoRR (2020)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML (2020)
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry
Learning Perceptually-Aligned Representations via Adversarial Robustness. CoRR (2019)
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Adversarial Examples Are Not Bugs, They Are Features. NeurIPS (2019)
Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Image Synthesis with a Single (Robust) Classifier. NeurIPS (2019)
Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry
Computer Vision with a Single (Robust) Classifier. CoRR (2019)
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
Adversarial Examples Are Not Bugs, They Are Features. CoRR (2019)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
Robustness May Be at Odds with Accuracy. ICLR (Poster) (2019)
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
How Does Batch Normalization Help Optimization? NeurIPS (2018)
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
Adversarially Robust Generalization Requires More Data. NeurIPS (2018)
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
Adversarially Robust Generalization Requires More Data. CoRR (2018)
Shibani Santurkar, Ludwig Schmidt, Aleksander Madry
A Classification-Based Study of Covariate Shift in GAN Distributions. ICML (2018)
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift). CoRR (2018)
Shibani Santurkar, David M. Budden, Nir Shavit
Generative Compression. PCS (2018)
Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? CoRR (2018)
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). CoRR (2018)
Shibani Santurkar, Ludwig Schmidt, Aleksander Madry
A Classification-Based Perspective on GAN Distributions. CoRR (2017)
Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit
Toward Streaming Synapse Detection with Compositional ConvNets. CoRR (2017)
Shibani Santurkar, David M. Budden, Nir Shavit
Generative Compression. CoRR (2017)
David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
Deep Tensor Convolution on Multicores. ICML (2017)
David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
Deep Tensor Convolution on Multicores. CoRR (2016)
Shibani Santurkar, Bipin Rajendran
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance. IJCNN (2015)
Shibani Santurkar, Bipin Rajendran
A neural circuit for navigation inspired by C. elegans Chemotaxis. CoRR (2014)
Shibani Santurkar, Bipin Rajendran
Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis. CoRR (2014)