Sneha Kudugunta
10 papers · 2019–2025 · 5 venues · across top CS/AI venues
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low-resource language
(3)
transfer learning
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multilingual neural machine translation
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cross-lingual transfer
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machine translation
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neural machine translation
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multilingual model
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batch normalization
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few-shot learning
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multilingual nlp
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in-context learning
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knowledge distillation
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multi-task learning
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cross-modal retrieval
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self-supervised learning
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multimodal learning
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efficient computing
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multilingual machine translation
(1)
hyperparameter optimization
(1)
Papers
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
ICLR 2025
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
NAACL 2024
MatFormer: Nested Transformer for Elastic Inference
NeurIPS 2024
MiTTenS: A Dataset for Evaluating Gender Mistranslation
EMNLP 2024
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
NeurIPS 2023
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
EMNLP 2021
MURAL: Multimodal, Multitask Representations Across Languages
EMNLP 2021
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
ACL 2020
Investigating Multilingual NMT Representations at Scale
EMNLP 2019