Rohan Taori

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Autoregressive Model

Image Classification

Machine Learning

Top Venues

IEEE Symposium on Security and Privacy Workshops

Publications

Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao
Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR (2024)
Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
An Interactive Agent Foundation Model. CoRR (2024)
Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao
Position Paper: Agent AI Towards a Holistic Intelligence. CoRR (2024)
Rohan Taori, Tatsunori Hashimoto
Data Feedback Loops: Model-driven Amplification of Dataset Biases. ICML (2023)
Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. CoRR (2023)
Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS (2023)
Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto
Benchmarking Multi-Domain Active Learning on Image Classification. CoRR (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)
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. NeurIPS (2023)
Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. 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)
Rohan Taori, Tatsunori B. Hashimoto
Data Feedback Loops: Model-driven Amplification of Dataset Biases. CoRR (2022)
John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. CoRR (2021)
John P. Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. ICML (2021)
Thomas Liao, Rohan Taori, Deborah Raji, Ludwig Schmidt
Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS (2020)
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. CoRR (2020)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR (2020)
Murtaza Dalal, Alexander C. Li, Rohan Taori
Autoregressive Models: What Are They Good For? CoRR (2019)
Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri
Targeted Adversarial Examples for Black Box Audio Systems. IEEE Symposium on Security and Privacy Workshops (2019)
Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri
Targeted Adversarial Examples for Black Box Audio Systems. CoRR (2018)