Rohan Taori

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All published works
Action Title Year Authors
+ PDF Chat Position Paper: Agent AI Towards a Holistic Intelligence 2024 Qiuyuan Huang
Naoki Wake
Bidipta Sarkar
Zane Durante
Ran Gong
Rohan Taori
Yusuke Noda
Demetri Terzopoulos
Noboru Kuno
Ade Famoti
+ PDF Chat An Interactive Agent Foundation Model 2024 Zane Durante
Bidipta Sarkar
Ran Gong
Rohan Taori
Yusuke Noda
Paul C. Tang
Ehsan Adeli
Shrinidhi Kowshika Lakshmikanth
Kevin A. Schulman
Arnold Milstein
+ Agent AI: Surveying the Horizons of Multimodal Interaction 2024 Zane Durante
Qiuyuan Huang
Naoki Wake
Ran Gong
Jae Sung Park
Bidipta Sarkar
Rohan Taori
Yusuke Noda
Demetri Terzopoulos
Yejin Choi
+ AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback 2023 Yann Dubois
Xuechen Li
Rohan Taori
Tianyi Zhang
Ishaan Gulrajani
Jimmy Ba
Carlos Guestrin
Percy Liang
Tatsunori Hashimoto
+ VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use 2023 Yonatan Bitton
Hritik Bansal
Jack Hessel
Rulin Shao
Wanrong Zhu
Anas Awadalla
Josh Gardner
Rohan Taori
Ludwig Schimdt
+ Benchmarking Multi-Domain Active Learning on Image Classification 2023 Jiayi Li
Rohan Taori
Tatsunori Hashimoto
+ Data Feedback Loops: Model-driven Amplification of Dataset Biases 2022 Rohan Taori
Tatsunori Hashimoto
+ Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning 2022 Shibani Santurkar
Yann Dubois
Rohan Taori
Percy Liang
Tatsunori Hashimoto
+ Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization 2021 J. J. Miller
Rohan Taori
Aditi Raghunathan
Shiori Sagawa
Pang Wei Koh
Vaishaal Shankar
Percy Liang
Yair Carmon
Ludwig Schmidt
+ On the Opportunities and Risks of Foundation Models 2021 Rishi Bommasani
Drew A. Hudson
Ehsan Adeli
Russ B. Altman
Simran Arora
Sydney von Arx
Michael S. Bernstein
Jeannette Bohg
Antoine Bosselut
Emma Brunskill
+ Measuring Robustness to Natural Distribution Shifts in Image Classification 2020 Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
+ Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter 2020 Guilin Liu
Rohan Taori
Ting-Chun Wang
Zhiding Yu
Shiqiu Liu
Fitsum A. Reda
Karan Sapra
Andrew Tao
Bryan Catanzaro
+ Targeted Adversarial Examples for Black Box Audio Systems 2019 Rohan Taori
Amog Kamsetty
Brenton Chu
Nikita Vemuri
+ Autoregressive Models: What Are They Good For? 2019 Murtaza Dalal
Alexander C. Li
Rohan Taori
+ Targeted Adversarial Examples for Black Box Audio Systems 2018 Rohan Taori
Amog Kamsetty
Brenton Chu
Nikita Vemuri
+ Targeted Adversarial Examples for Black Box Audio Systems 2018 Rohan Taori
Amog Kamsetty
Brenton Chu
Nikita Vemuri
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
4
+ Evasion Attacks against Machine Learning at Test Time 2013 Battista Biggio
Igino Corona
Davide Maiorca
Blaine Nelson
Nedim Šrndić
Pavel Laskov
Giorgio Giacinto
Fabio Roli
3
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples. 2016 Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
Somesh Jha
Z. Berkay Celik
Ananthram Swami
3
+ Certified Defenses against Adversarial Examples 2018 Aditi Raghunathan
Jacob Steinhardt
Percy Liang
2
+ PDF Chat Distributionally Robust Language Modeling 2019 Yonatan Oren
Shiori Sagawa
Tatsunori Hashimoto
Percy Liang
2
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
2
+ Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization 2019 Shiori Sagawa
Pang Wei Koh
Tatsunori Hashimoto
Percy Liang
2
+ Audio Adversarial Examples: Targeted Attacks on Speech-to-Text 2018 Nicholas Carlini
David Wagner
2
+ Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. 2021 Nelson F. Liu
Tong Lee
Robin Jia
Percy Liang
2
+ PDF Chat Model Cards for Model Reporting 2019 Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
2
+ Unlabeled Data Improves Adversarial Robustness 2019 Yair Carmon
Aditi Raghunathan
Ludwig Schmidt
John C. Duchi
Percy Liang
2
+ PDF Chat Progressive Neural Architecture Search 2018 Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Hua Wei
Li-Jia Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Murphy
2
+ The Effect of Natural Distribution Shift on Question Answering Models 2020 J. J. Miller
Karl Krauth
Ludwig Schmidt
Benjamin Recht
2
+ PDF Chat State-of-the-Art Speech Recognition with Sequence-to-Sequence Models 2018 Chung‐Cheng Chiu
Tara N. Sainath
Yonghui Wu
Rohit Prabhavalkar
Patrick Nguyen
Zhifeng Chen
Anjuli Kannan
Ron J. Weiss
Kanishka Rao
Ekaterina Gonina
2
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
2
+ Deep Contextualized Word Representations 2018 Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
2
+ PDF Chat SQuAD: 100,000+ Questions for Machine Comprehension of Text 2016 Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
2
+ Towards Deep Learning Models Resistant to Adversarial Attacks. 2018 Aleksander Mądry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
2
+ PDF Chat Discrimination of Low-Frequency Tones Employs Temporal Fine Structure 2012 Tobias Reichenbach
A. J. Hudspeth
2
+ Are Labels Required for Improving Adversarial Robustness 2019 Jean-Baptiste Alayrac
Jonathan Uesato
Po-Sen Huang
Alhussein Fawzi
Robert Stanforth
Pushmeet Kohli
2
+ PDF Chat The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization 2021 Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Fengqiu Wang
Evan Dorundo
Rahul Desai
Tyler Zhu
Samyak Parajuli
Mike Guo
2
+ WILDS: A Benchmark of in-the-Wild Distribution Shifts 2020 Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
Akshay Balsubramani
Weihua Hu
Michihiro Yasunaga
Richard L. Phillips
Irena Gao
2
+ PDF Chat ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design 2018 Ningning Ma
Xiangyu Zhang
Hai-Tao Zheng
Jian Sun
2
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
2
+ PDF Chat Xception: Deep Learning with Depthwise Separable Convolutions 2017 François Chollet
2
+ SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size 2016 Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
2
+ Deep Speech: Scaling up end-to-end speech recognition 2014 Awni Hannun
Carl Case
Jared Casper
Bryan Catanzaro
Greg Diamos
Erich Elsen
Ryan Prenger
Sanjeev Satheesh
Shubho Sengupta
Adam Coates
2
+ Dual Path Networks 2017 Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
2
+ Houdini: Fooling Deep Structured Prediction Models. 2017 Moustapha Cissé
Yossi Adi
Natalia Neverova
Joseph Keshet
2
+ Delving into Transferable Adversarial Examples and Black-box Attacks 2016 Yanpei Liu
Xinyun Chen
Chang Liu
Dawn Song
2
+ Exploring the Space of Black-box Attacks on Deep Neural Networks 2017 Arjun Nitin Bhagoji
Warren He
Bo Li
Dawn Song
2
+ Did you hear that? Adversarial Examples Against Automatic Speech Recognition 2018 Moustafa Alzantot
Bharathan Balaji
Mani Srivastava
2
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
2
+ PDF Chat PolyNet: A Pursuit of Structural Diversity in Very Deep Networks 2017 Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ PDF Chat Self-Training With Noisy Student Improves ImageNet Classification 2020 Qizhe Xie
Minh-Thang Luong
Eduard Hovy
Quoc V. Le
2
+ Frustratingly Easy Domain Adaptation 2009 Hal Daumé
1
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
1
+ Poisoning Attacks against Support Vector Machines 2012 Battista Biggio
Blaine Nelson
Pavel Laskov
1
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ PDF Chat Empowerment–An Introduction 2013 Christoph Salge
Cornelius Glackin
Daniel Polani
1
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
1
+ A note on the evaluation of generative models 2015 Lucas Theis
Aäron van den Oord
Matthias Bethge
1
+ PDF Chat Designing deep networks for surface normal estimation 2015 Xiaolong Wang
David F. Fouhey
Abhinav Gupta
1
+ Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints 2016 Gang Liu
Yann Gousseau
Gui-Song Xia
1
+ PDF Chat Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks 2016 Chuan Li
Michael Wand
1
+ Training Deep Nets with Sublinear Memory Cost 2016 Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
1