Aishwarya Kamath

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Question Answering

Imitation Learning

Semantic Parser

Top Venues

Publications

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
Capabilities of Gemini Models in Medicine. CoRR (2024)
Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CVPR (2023)
Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath
Adapting Grounded Visual Question Answering Models to Low Resource Languages. CVPR Workshops (2023)
Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CoRR (2022)
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
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR (2022)
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
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS (2022)
Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych
xGQA: Cross-Lingual Visual Question Answering. ACL (Findings) (2022)
Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL (2021)
Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych
xGQA: Cross-Lingual Visual Question Answering. CoRR (2021)
Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR (2021)
Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV (2021)
Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR (2020)
Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
AdapterHub: A Framework for Adapting Transformers. EMNLP (Demos) (2020)
Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
AdapterHub: A Framework for Adapting Transformers. CoRR (2020)
Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavas, Ivan Vulic
Specializing Distributional Vectors of All Words for Lexical Entailment. RepL4NLP@ACL (2019)
Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder
What do Deep Networks Like to Read? CoRR (2019)
Aishwarya Kamath, Rajarshi Das
A Survey on Semantic Parsing. AKBC (2019)
Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum
Training Structured Prediction Energy Networks with Indirect Supervision. NAACL-HLT (2) (2018)
Aishwarya Kamath, Rajarshi Das
A Survey on Semantic Parsing. CoRR (2018)