Yash Sharma - RankMe

39 papers A* 12A 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks. CoRR Thaddäus Wiedemer, Yash Sharma, Ameya Prabhu, Matthias Bethge, Wieland Brendel
2024	A*	`conf`	No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. NeurIPS Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. CoRR Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies. CoRR Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
2023	J	`jnl`	Jacobian-based Causal Discovery with Nonlinear ICA. Trans. Mach. Learn. Res. Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel
2023	A*	`conf`	Provably Learning Object-Centric Representations. ICML Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel
2023	J	`jnl`	Provably Learning Object-Centric Representations. CoRR Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel
2022	—	`conf`	Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. CLeaR Sébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
2022	J	`jnl`	How Adversarial Robustness Transfers from Pre-training to Downstream Tasks. CoRR Laura Fee Nern, Yash Sharma
2022	J	`jnl`	Pixel-level Correspondence for Self-Supervised Learning from Video. CoRR Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox
2021	J	`jnl`	Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2021	A*	`conf`	Contrastive Learning Inverts the Data Generating Process. ICML Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	J	`jnl`	Contrastive Learning Inverts the Data Generating Process. CoRR Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	A*	`conf`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. NeurIPS Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2021	J	`jnl`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. CoRR Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2021	A*	`conf`	Spatially Structured Recurrent Modules. ICLR Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2021	A*	`conf`	Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. ICLR David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton
2021	A*	`conf`	Unsupervised Learning of Compositional Energy Concepts. NeurIPS Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
2021	J	`jnl`	Unsupervised Learning of Compositional Energy Concepts. CoRR Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch
2020	A*	`conf`	MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang
2020	J	`jnl`	S2RMs: Spatially Structured Recurrent Modules. CoRR Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2020	J	`jnl`	Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. CoRR David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton
2020	J	`jnl`	Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2019	A*	`conf`	Are Generative Classifiers More Robust to Adversarial Attacks? ICML Yingzhen Li, John Bradshaw, Yash Sharma
2019	A	`conf`	GenAttack: practical black-box attacks with gradient-free optimization. GECCO Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava
2019	A*	`conf`	On the Effectiveness of Low Frequency Perturbations. IJCAI Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
2019	J	`jnl`	On the Effectiveness of Low Frequency Perturbations. CoRR Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
2018	—	`conf`	Attacking the Madry Defense Model with $L_1$-based Adversarial Examples. ICLR (Workshop) Yash Sharma, Pin-Yu Chen
2018	J	`jnl`	Bypassing Feature Squeezing by Increasing Adversary Strength. CoRR Yash Sharma, Pin-Yu Chen
2018	J	`jnl`	CAAD 2018: Generating Transferable Adversarial Examples. CoRR Yash Sharma, Tien-Dung Le, Moustafa Alzantot
2018	A*	`conf`	EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2018	J	`jnl`	GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. CoRR Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava
2018	A*	`conf`	Generating Natural Language Adversarial Examples. EMNLP Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang
2018	J	`jnl`	Generating Natural Language Adversarial Examples. CoRR Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang
2018	J	`jnl`	Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. CoRR Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang
2017	J	`jnl`	Attacking the Madry Defense Model with L CoRR Yash Sharma, Pin-Yu Chen
2017	J	`jnl`	EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2017	—	`conf`	ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2017	J	`jnl`	ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh