Aishwarya Kamath

Aishwarya Kamath

New York University

H-index: 8

North America-United States

About Aishwarya Kamath

Aishwarya Kamath, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at New York University, specializes in the field of NLP, Multimodal Learning, Representation learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adapting Grounded Visual Question Answering Models to Low Resource Languages

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

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

Proceedings of the Workshop on Multilingual Multimodal Learning

xGQA: Cross-Lingual Visual Question Answering

MDETR-modulated detection for end-to-end multi-modal understanding

AdapterHub: A Framework for Adapting Transformers

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Aishwarya Kamath Information

University

Position

___

Citations(all)

1708

Citations(since 2020)

1706

Cited By

81

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Aishwarya Kamath Skills & Research Interests

NLP

Multimodal Learning

Representation learning

Machine Learning

Top articles of Aishwarya Kamath

Adapting Grounded Visual Question Answering Models to Low Resource Languages

2023

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

2023

Aishwarya Kamath
Aishwarya Kamath

H-Index: 5

Su Wang
Su Wang

H-Index: 20

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

arXiv preprint arXiv:2206.07643

2022/6/15

xGQA: Cross-Lingual Visual Question Answering

Findings of ACL 2022

2021/9/13

MDETR-modulated detection for end-to-end multi-modal understanding

2021

Aishwarya Kamath
Aishwarya Kamath

H-Index: 5

Yann Lecun
Yann Lecun

H-Index: 106

AdapterHub: A Framework for Adapting Transformers

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 46–54, Online. Association for Computational Linguistics.

2020/7/15

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

2020/5/1

See List of Professors in Aishwarya Kamath University(New York University)

Co-Authors

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