Deep neural networks for bot detection. - Sneha Kudugunta; Emilio Ferrara (Inf. Sci., 2018)

Investigating Multilingual NMT Representations at Scale. - Sneha Reddy Kudugunta; Ankur Bapna; Isaac Caswell; Orhan Firat (EMNLP/IJCNLP (1), 2019)

DANTE: Deep AlterNations for Training nEural networks. - Sneha Kudugunta; Vaibhav B. Sinha; Adepu Ravi Sankar; Surya Teja Chavali; Purushottam Kar; Vineeth N. Balasubramanian (CoRR, 2019)

Investigating Multilingual NMT Representations at Scale. - Sneha Reddy Kudugunta; Ankur Bapna; Isaac Caswell; Naveen Arivazhagan; Orhan Firat (CoRR, 2019)

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. - Aditya Siddhant; Ankur Bapna; Yuan Cao 007; Orhan Firat; Mia Xu Chen; Sneha Reddy Kudugunta; Naveen Arivazhagan; Yonghui Wu (ACL, 2020)

DANTE: Deep alternations for training neural networks. - Vaibhav B. Sinha; Sneha Kudugunta; Adepu Ravi Sankar; Surya Teja Chavali; Vineeth N. Balasubramanian (Neural Networks, 2020)

MURAL: Multimodal, Multitask Representations Across Languages. - Aashi Jain; Mandy Guo; Krishna Srinivasan; Ting Chen; Sneha Kudugunta; Chao Jia; Yinfei Yang; Jason Baldridge (EMNLP (Findings), 2021)

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. - Sneha Kudugunta; Yanping Huang; Ankur Bapna; Maxim Krikun; Dmitry Lepikhin; Minh-Thang Luong; Orhan Firat (EMNLP (Findings), 2021)

MURAL: Multimodal, Multitask Retrieval Across Languages. - Aashi Jain; Mandy Guo; Krishna Srinivasan; Ting Chen; Sneha Kudugunta; Chao Jia; Yinfei Yang; Jason Baldridge (CoRR, 2021)

A Loss Curvature Perspective on Training Instability in Deep Learning. - Justin Gilmer; Behrooz Ghorbani; Ankush Garg; Sneha Kudugunta; Behnam Neyshabur; David Cardoze; George E. Dahl; Zachary Nado; Orhan Firat (CoRR, 2021)

A Loss Curvature Perspective on Training Instabilities of Deep Learning Models. - Justin Gilmer; Behrooz Ghorbani; Ankush Garg; Sneha Kudugunta; Behnam Neyshabur; David Cardoze; George Edward Dahl; Zachary Nado; Orhan Firat (ICLR, 2022)

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. - Julia Kreutzer; Isaac Caswell; Lisa Wang; Ahsan Wahab; Daan van Esch; Nasanbayar Ulzii-Orshikh; Allahsera Tapo; Nishant Subramani; Artem Sokolov; Claytone Sikasote; Monang Setyawan; Supheakmungkol Sarin; et al. (Trans. Assoc. Comput. Linguistics, 2022)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (NeurIPS, 2023)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Christopher A. Choquette-Choo; Katherine Lee; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (CoRR, 2023)

MiTTenS: A Dataset for Evaluating Gender Mistranslation. - Kevin Robinson; Sneha Kudugunta; Romina Stella; Sunipa Dev; Jasmijn Bastings (EMNLP, 2024)

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. - Akari Asai; Sneha Kudugunta; Xinyan Yu 001; Terra Blevins; Hila Gonen; Machel Reid; Yulia Tsvetkov; Sebastian Ruder; Hannaneh Hajishirzi (NAACL-HLT, 2024)

MatFormer: Nested Transformer for Elastic Inference. - Devvrit; Sneha Kudugunta; Aditya Kusupati; Tim Dettmers; Kaifeng Chen; Inderjit S. Dhillon; Yulia Tsvetkov; Hanna Hajishirzi; Sham M. Kakade; Ali Farhadi; Prateek Jain 002 (NeurIPS, 2024)

MiTTenS: A Dataset for Evaluating Misgendering in Translation. - Kevin Robinson; Sneha Kudugunta; Romina Stella; Sunipa Dev; Jasmijn Bastings (CoRR, 2024)

(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning. - Margaret Li; Sneha Kudugunta; Luke Zettlemoyer (ICLR, 2025)

(Mis)Fitting: A Survey of Scaling Laws. - Margaret Li; Sneha Kudugunta; Luke Zettlemoyer (CoRR, 2025)