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2020 – today
- 2024
[i9]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 abs/2404.18416 (2024)- 2023
- [c10]Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath:
Adapting Grounded Visual Question Answering Models to Low Resource Languages. CVPR Workshops 2023: 2596-2605 - [c9]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: 10813-10823 - 2022
- [c8]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: 2497-2511 - [c7]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 - [i8]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 abs/2206.07643 (2022) - [i7]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 abs/2210.03112 (2022) - 2021
- [c6]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503 - [c5]Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV 2021: 1760-1770 - [i6]Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR abs/2104.12763 (2021) - [i5]Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. CoRR abs/2109.06082 (2021) - 2020
- [c4]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: 46-54 - [i4]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé
, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020) - [i3]Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. CoRR abs/2007.07779 (2020)
2010 – 2019
- 2019
- [c3]Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. AKBC 2019 - [c2]Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavas, Ivan Vulic:
Specializing Distributional Vectors of All Words for Lexical Entailment. RepL4NLP@ACL 2019: 72-83 - [i2]Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder:
What do Deep Networks Like to Read? CoRR abs/1909.04547 (2019) - 2018
- [c1]Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum:
Training Structured Prediction Energy Networks with Indirect Supervision. NAACL-HLT (2) 2018: 130-135 - [i1]Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. CoRR abs/1812.00978 (2018)
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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