Aishwarya Kamath

20 papers A* 3A 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SAM 3: Segment Anything with Concepts. CoRR Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2023	A*	`conf`	A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CVPR Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh
2023	—	`conf`	Adapting Grounded Visual Question Answering Models to Low Resource Languages. CVPR Workshops Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath
2022	J	`jnl`	A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CoRR Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh
2022	A*	`conf`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	J	`jnl`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	—	`conf`	xGQA: Cross-Lingual Visual Question Answering. ACL (Findings) Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych
2021	A	`conf`	AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych
2021	A*	`conf`	MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
2021	J	`jnl`	MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion
2021	J	`jnl`	xGQA: Cross-Lingual Visual Question Answering. CoRR Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych
2020	J	`jnl`	AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych
2020	—	`conf`	AdapterHub: A Framework for Adapting Transformers. EMNLP (Demos) Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
2020	J	`jnl`	AdapterHub: A Framework for Adapting Transformers. CoRR Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
2019	—	`conf`	A Survey on Semantic Parsing. AKBC Aishwarya Kamath, Rajarshi Das
2019	—	`conf`	Specializing Distributional Vectors of All Words for Lexical Entailment. RepL4NLP@ACL Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavas, Ivan Vulic
2019	J	`jnl`	What do Deep Networks Like to Read? CoRR Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder
2018	J	`jnl`	A Survey on Semantic Parsing. CoRR Aishwarya Kamath, Rajarshi Das
2018	—	`conf`	Training Structured Prediction Energy Networks with Indirect Supervision. NAACL-HLT (2) Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum