Sneha Reddy Kudugunta

Orcid: 0000-0002-0186-2433

Affiliations:
  • Google Research
  • Indian Institute of Technology Hyderabad, Department of Computer Science and Engineering, India (former)


According to our database1, Sneha Reddy Kudugunta authored at least 17 papers between 2018 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
MiTTenS: A Dataset for Evaluating Misgendering in Translation.
CoRR, 2024

2023
MatFormer: Nested Transformer for Elastic Inference.
CoRR, 2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset.
CoRR, 2023

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.
CoRR, 2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.
Trans. Assoc. Comput. Linguistics, 2022

A Loss Curvature Perspective on Training Instabilities of Deep Learning Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A Loss Curvature Perspective on Training Instability in Deep Learning.
CoRR, 2021

MURAL: Multimodal, Multitask Retrieval Across Languages.
CoRR, 2021

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MURAL: Multimodal, Multitask Representations Across Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
DANTE: Deep alternations for training neural networks.
Neural Networks, 2020

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Investigating Multilingual NMT Representations at Scale.
CoRR, 2019

DANTE: Deep AlterNations for Training nEural networks.
CoRR, 2019

Investigating Multilingual NMT Representations at Scale.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Deep neural networks for bot detection.
Inf. Sci., 2018


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