Sahil Singla - RankMe

31 papers A* 12A 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2023	A*	`conf`	Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2022	J	`jnl`	Core Risk Minimization using Salient ImageNet. CoRR Sahil Singla, Mazda Moayeri, Soheil Feizi
2022	J	`jnl`	Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2022	A*	`conf`	Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS Mazda Moayeri, Sahil Singla, Soheil Feizi
2022	A*	`conf`	Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100. ICLR Sahil Singla, Surbhi Singla, Soheil Feizi
2022	A*	`conf`	Improved techniques for deterministic l2 robustness. NeurIPS Sahil Singla, Soheil Feizi
2022	J	`jnl`	Improved techniques for deterministic l2 robustness. CoRR Sahil Singla, Soheil Feizi
2022	—	`—`	Reliable Deep Learning: a Robustness Perspective. Sahil Singla
2022	A*	`conf`	Salient ImageNet: How to discover spurious features in Deep Learning? ICLR Sahil Singla, Soheil Feizi
2022	J	`jnl`	Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2021	J	`jnl`	Causal ImageNet: How to discover spurious features in Deep Learning? CoRR Sahil Singla, Soheil Feizi
2021	—	`conf`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2021	A*	`conf`	Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers. ICLR Sahil Singla, Soheil Feizi
2021	J	`jnl`	Householder Activations for Provable Robustness against Adversarial Attacks. CoRR Sahil Singla, Surbhi Singla, Soheil Feizi
2021	A*	`conf`	Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs
2021	J	`jnl`	Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi
2021	A*	`conf`	Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. ICLR Cassidy Laidlaw, Sahil Singla, Soheil Feizi
2021	A*	`conf`	Skew Orthogonal Convolutions. ICML Sahil Singla, Soheil Feizi
2021	J	`jnl`	Skew Orthogonal Convolutions. CoRR Sahil Singla, Soheil Feizi
2021	A*	`conf`	Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2020	J	`jnl`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2020	J	`jnl`	Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. CoRR Cassidy Laidlaw, Sahil Singla, Soheil Feizi
2020	A*	`conf`	Second-Order Provable Defenses against Adversarial Attacks. ICML Sahil Singla, Soheil Feizi
2020	J	`jnl`	Second-Order Provable Defenses against Adversarial Attacks. CoRR Sahil Singla, Soheil Feizi
2020	J	`jnl`	Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
2019	J	`jnl`	Bounding Singular Values of Convolution Layers. CoRR Sahil Singla, Soheil Feizi
2019	J	`jnl`	Certifiably Robust Interpretation in Deep Learning. CoRR Alexander Levine, Sahil Singla, Soheil Feizi
2019	J	`jnl`	Robustness Certificates Against Adversarial Examples for ReLU Networks. CoRR Sahil Singla, Soheil Feizi
2019	A*	`conf`	Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. ICML Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi
2019	J	`jnl`	Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. CoRR Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi