Yash Sharma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDCIT | Collaborative Dispersion of Silent Robots with Different Wake-Up Time. | Barun Gorain, Subhrangsu Mandal, Yash Sharma |
| 2024 | CoRL | MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. | Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y. Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury |
| 2024 | EMNLP | Attribute Diversity Determines the Systematicity Gap in VQA. | Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra |
| 2023 | ICML | Provably Learning Object-Centric Representations. | Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schlkopf, Julius von Kgelgen, Wieland Brendel |
| 2022 | MICCAI | MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. | Yash Sharma, Sana Syed, Donald E. Brown |
| 2021 | ICLR | Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. | David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton |
| 2021 | ICLR | Spatially Structured Recurrent Modules. | Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schlkopf |
| 2021 | ICML | Contrastive Learning Inverts the Data Generating Process. | Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel |
| 2020 | ICLR | MMA Training: Direct Input Space Margin Maximization through Adversarial Training. | Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang |
| 2020 | ICPR | Self-attentive Adversarial Stain Normalization. | Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown |
| 2020 | Interspeech | Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS. | Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi |
| 2019 | GECCO | GenAttack: practical black-box attacks with gradient-free optimization. | Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava |
| 2019 | ICML | Are Generative Classifiers More Robust to Adversarial Attacks? | Yingzhen Li, John Bradshaw, Yash Sharma |
| 2019 | IJCAI | On the Effectiveness of Low Frequency Perturbations. | Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker |
| 2018 | AAAI | EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. | Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh |
| 2018 | EMNLP | Generating Natural Language Adversarial Examples. | Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang |
| 2018 | ICLR | Attacking the Madry Defense Model with $L_1$-based Adversarial Examples. | Yash Sharma, Pin-Yu Chen |
| 2017 | CCS | ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. | Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh |