Shibani Santurkar

46 papers A* 17B 1C 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Data Selection for Language Models via Importance Resampling. NeurIPS Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
2023	J	`jnl`	Data Selection for Language Models via Importance Resampling. CoRR Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 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
2023	A*	`conf`	Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2023	A*	`conf`	Whose Opinions Do Language Models Reflect? ICML Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
2023	J	`jnl`	Whose Opinions Do Language Models Reflect? CoRR Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS 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
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR 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
2022	J	`jnl`	Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR 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
2021	A*	`conf`	BREEDS: Benchmarks for Subpopulation Shift. ICLR Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
2021	A*	`conf`	Editing a classifier by rewriting its prediction rules. NeurIPS Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
2021	J	`jnl`	Editing a classifier by rewriting its prediction rules. CoRR Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
2021	A*	`conf`	Leveraging Sparse Linear Layers for Debuggable Deep Networks. ICML Eric Wong, Shibani Santurkar, Aleksander Madry
2021	J	`jnl`	Leveraging Sparse Linear Layers for Debuggable Deep Networks. CoRR Eric Wong, Shibani Santurkar, Aleksander Madry
2021	—	`—`	Machine Learning Beyond Accuracy: A Features Perspective On Model Generalization. Shibani Santurkar
2020	A*	`conf`	A Closer Look at Deep Policy Gradients. ICLR Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2020	J	`jnl`	BREEDS: Benchmarks for Subpopulation Shift. CoRR Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
2020	A*	`conf`	From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
2020	J	`jnl`	From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry
2020	A*	`conf`	Identifying Statistical Bias in Dataset Replication. ICML Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
2020	J	`jnl`	Identifying Statistical Bias in Dataset Replication. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
2020	J	`jnl`	Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2020	A*	`conf`	Implementation Matters in Deep RL: A Case Study on PPO and TRPO. ICLR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2019	A*	`conf`	Adversarial Examples Are Not Bugs, They Are Features. NeurIPS Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Adversarial Examples Are Not Bugs, They Are Features. CoRR Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Computer Vision with a Single (Robust) Classifier. CoRR Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Andrew Ilyas, Logan Engstrom, Aleksander Madry
2019	A*	`conf`	Image Synthesis with a Single (Robust) Classifier. NeurIPS Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry
2019	J	`jnl`	Learning Perceptually-Aligned Representations via Adversarial Robustness. CoRR Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Brandon Tran, Aleksander Madry
2019	—	`conf`	Robustness May Be at Odds with Accuracy. ICLR (Poster) Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
2018	A*	`conf`	A Classification-Based Study of Covariate Shift in GAN Distributions. ICML Shibani Santurkar, Ludwig Schmidt, Aleksander Madry
2018	A*	`conf`	Adversarially Robust Generalization Requires More Data. NeurIPS Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
2018	J	`jnl`	Adversarially Robust Generalization Requires More Data. CoRR Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Madry
2018	J	`jnl`	Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? CoRR Andrew Ilyas, Logan Engstrom, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry
2018	C	`conf`	Generative Compression. PCS Shibani Santurkar, David M. Budden, Nir Shavit
2018	A*	`conf`	How Does Batch Normalization Help Optimization? NeurIPS Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
2018	J	`jnl`	How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift). CoRR Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, Aleksander Madry
2018	J	`jnl`	There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits). CoRR Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, Aleksander Madry
2017	J	`jnl`	A Classification-Based Perspective on GAN Distributions. CoRR Shibani Santurkar, Ludwig Schmidt, Aleksander Madry
2017	A*	`conf`	Deep Tensor Convolution on Multicores. ICML David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
2017	J	`jnl`	Generative Compression. CoRR Shibani Santurkar, David M. Budden, Nir Shavit
2017	J	`jnl`	Toward Streaming Synapse Detection with Compositional ConvNets. CoRR Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit
2016	J	`jnl`	Deep Tensor Convolution on Multicores. CoRR David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
2015	B	`conf`	C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance. IJCNN Shibani Santurkar, Bipin Rajendran
2014	J	`jnl`	A neural circuit for navigation inspired by C. elegans Chemotaxis. CoRR Shibani Santurkar, Bipin Rajendran
2014	J	`jnl`	Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis. CoRR Shibani Santurkar, Bipin Rajendran