Aishwarya Kamath

According to our database, Aishwarya Kamath authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Adapting Grounded Visual Question Answering Models to Low Resource Languages.

Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning.

Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

xGQA: Cross-Lingual Visual Question Answering.

Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding.

Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

AdapterHub: A Framework for Adapting Transformers.

Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

What do Deep Networks Like to Read?

Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder

CoRR, 2019

Specializing Distributional Vectors of All Words for Lexical Entailment.

Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavas, Ivan Vulic

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

A Survey on Semantic Parsing.

Aishwarya Kamath, Rajarshi Das

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018

Training Structured Prediction Energy Networks with Indirect Supervision.

Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018