Hadi Salman - RankMe

54 papers A* 15A 2B 2Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Identifying and training deep learning neural networks on biomedical-related datasets. Briefings Bioinform. Alan E. Woessner, Usman Anjum, Hadi Salman, Jacob Lear, Jeffrey T. Turner, Ross Campbell, Laura Beaudry, Justin Zhan, Lawrence E. Cornett, Susan Gauch, Kyle P. Quinn
2023	A*	`conf`	A Data-Based Perspective on Transfer Learning. CVPR Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
2023	A*	`conf`	FFCV: Accelerating Training by Removing Data Bottlenecks. CVPR Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
2023	J	`jnl`	FFCV: Accelerating Training by Removing Data Bottlenecks. CoRR Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
2023	B	`conf`	OrthoNets: Orthogonal Channel Attention Networks. IEEE Big Data Hadi Salman, Caleb Parks, Matthew Swan, John Gauch
2023	J	`jnl`	OrthoNets: Orthogonal Channel Attention Networks. CoRR Hadi Salman, Caleb Parks, Matthew Swan, John Gauch
2023	A*	`conf`	Raising the Cost of Malicious AI-Powered Image Editing. ICML Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
2023	J	`jnl`	Raising the Cost of Malicious AI-Powered Image Editing. CoRR Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
2023	A*	`conf`	Rethinking Backdoor Attacks. ICML Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023	J	`jnl`	Rethinking Backdoor Attacks. CoRR Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023	J	`jnl`	The Journey, Not the Destination: How Data Guides Diffusion Models. CoRR Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry
2023	—	`—`	Towards ML Models That We Can Deploy Confidently Hadi Salman
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`	A Data-Based Perspective on Transfer Learning. CoRR Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
2022	—	`conf`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2022	A*	`conf`	Certified Patch Robustness via Smoothed Vision Transformers. CVPR Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
2022	J	`jnl`	GHM Wavelet Transform for Deep Image Super Resolution. CoRR Benjamin J. Lowe, Hadi Salman, Justin Zhan
2022	A*	`conf`	Missingness Bias in Model Debugging. ICLR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Missingness Bias in Model Debugging. CoRR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	B	`conf`	WaveNets: Wavelet Channel Attention Networks. IEEE Big Data Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
2022	J	`jnl`	WaveNets: Wavelet Channel Attention Networks. CoRR Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
2022	J	`jnl`	When does Bias Transfer in Transfer Learning? CoRR Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry
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	J	`jnl`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2021	J	`jnl`	Certified Patch Robustness via Smoothed Vision Transformers. CoRR Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
2021	A*	`conf`	Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
2020	J	`jnl`	Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	A*	`conf`	Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	A*	`conf`	Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
2020	J	`jnl`	Do Adversarially Robust ImageNet Models Transfer Better? CoRR Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
2020	J	`jnl`	Improved Image Wasserstein Attacks and Defenses. CoRR J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang
2020	A*	`conf`	Randomized Smoothing of All Shapes and Sizes. ICML Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
2020	J	`jnl`	Randomized Smoothing of All Shapes and Sizes. CoRR Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
2020	—	`conf`	Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. IEEE BigData Hadi Salman, Justin Zhan
2020	—	`conf`	Similarity Metric for Millions of Unlabeled Face Images. CCWC Hadi Salman, Justin Zhan
2020	J	`jnl`	Unadversarial Examples: Designing Objects for Robust Vision. CoRR Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
2019	A*	`conf`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	J	`jnl`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	J	`jnl`	A Fine-Grained Spectral Perspective on Neural Networks. CoRR Greg Yang, Hadi Salman
2019	A*	`conf`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. NeurIPS Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang
2019	J	`jnl`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. CoRR Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck
2018	—	`conf`	A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information. Robotics: Science and Systems Nicolas Zevallos, Arun Srivatsan Rangaprasad, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
2018	—	`conf`	A surgical system for automatic registration, stiffness mapping and dynamic image overlay. ISMR Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
2018	J	`jnl`	Deep Diffeomorphic Normalizing Flows. CoRR Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich
2018	J	`jnl`	Learning to Sequence Robot Behaviors for Visual Navigation. CoRR Hadi Salman, Puneet Singhal, Tanmay Shankar, Peng Yin, Ali Salman, William Paivine, Guillaume Sartoretti, Matthew J. Travers, Howie Choset
2018	A	`conf`	Stabilize an Unsupervised Feature Learning for LiDAR-based Place Recognition. IROS Peng Yin, Lingyun Xu, Zhe Liu, Lu Li, Hadi Salman, Yuqing He, Weiliang Xu, Hesheng Wang, Howie Choset
2018	A*	`conf`	Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. ICRA Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset
2017	J	`jnl`	A surgical system for automatic registration, stiffness mapping and dynamic image overlay. CoRR Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
2017	J	`jnl`	Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization. CoRR Elif Ayvali, Hadi Salman, Howie Choset
2017	A	`conf`	Ergodic coverage in constrained environments using stochastic trajectory optimization. IROS Elif Ayvali, Hadi Salman, Howie Choset
2017	A*	`conf`	Multi-Agent Ergodic Coverage with Obstacle Avoidance. ICAPS Hadi Salman, Elif Ayvali, Howie Choset
2017	J	`jnl`	Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. CoRR Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset
2016	—	`conf`	A physical parameter-based skidding model for the snakeboard. CDC Hadi Salman, Tony Dear, Sevag Babikian, Elie A. Shammas, Howie Choset
2015	—	`conf`	Modeling, analysis, and controllability of a single-actuator differentially-driven robot. AIM Mohamad Alsalman, Elie A. Shammas, Hadi Salman