Shibani Santurkar

According to our database, Shibani Santurkar authored at least 33 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Holistic Evaluation of Language Models.

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

Trans. Mach. Learn. Res., 2023

Data Selection for Language Models via Importance Resampling.

Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Whose Opinions Do Language Models Reflect?

Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2023

Is a Caption Worth a Thousand Images? A Study on Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

CoRR, 2022

3DB: A Framework for Debugging Computer Vision Models.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Machine Learning Beyond Accuracy: A Features Perspective On Model Generalization.

Shibani Santurkar

PhD thesis, 2021

Editing a classifier by rewriting its prediction rules.

Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Sparse Linear Layers for Debuggable Deep Networks.

Eric Wong, Shibani Santurkar, Aleksander Madry

Proceedings of the 38th International Conference on Machine Learning, 2021

BREEDS: Benchmarks for Subpopulation Shift.

Shibani Santurkar, Dimitris Tsipras, Aleksander Madry

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO.

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

CoRR, 2020

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks.

Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry

Proceedings of the 37th International Conference on Machine Learning, 2020

Identifying Statistical Bias in Dataset Replication.

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry

Proceedings of the 37th International Conference on Machine Learning, 2020

A Closer Look at Deep Policy Gradients.

Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

Proceedings of the 8th International Conference on Learning Representations, 2020

Implementation Matters in Deep RL: A Case Study on PPO and TRPO.

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Computer Vision with a Single (Robust) Classifier.

Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry

CoRR, 2019

Learning Perceptually-Aligned Representations via Adversarial Robustness.

Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry

CoRR, 2019

Image Synthesis with a Single (Robust) Classifier.

Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Examples Are Not Bugs, They Are Features.

Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robustness May Be at Odds with Accuracy.

Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?

Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry

CoRR, 2018

There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits).

Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry

CoRR, 2018

How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift).

Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry

CoRR, 2018

Generative Compression.

Shibani Santurkar, David M. Budden, Nir Shavit

Proceedings of the 2018 Picture Coding Symposium, 2018

Adversarially Robust Generalization Requires More Data.

Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

How Does Batch Normalization Help Optimization?

Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Classification-Based Study of Covariate Shift in GAN Distributions.

Shibani Santurkar, Ludwig Schmidt, Aleksander Madry

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

A Classification-Based Perspective on GAN Distributions.

Shibani Santurkar, Ludwig Schmidt, Aleksander Madry

CoRR, 2017

Toward Streaming Synapse Detection with Compositional ConvNets.

Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit

CoRR, 2017

Deep Tensor Convolution on Multicores.

David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance.

Shibani Santurkar, Bipin Rajendran

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis.

Shibani Santurkar, Bipin Rajendran

CoRR, 2014

A neural circuit for navigation inspired by C. elegans Chemotaxis.

Shibani Santurkar, Bipin Rajendran

CoRR, 2014