Sneha Kudugunta
Artificial Intelligence · 2018–2025
A researcher in the Science corpus: 9 papers; trusts 154 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 297 citations into it; #32,845 of 35,345 by trust here, #4,336 by citations
- Natural Language Processing — 180 citations into it; #5,281 of 5,688 by trust here, #1,926 by citations
- Computer Vision and Pattern Recognition — 125 citations into it
- Evaluation & Benchmarks — 72 citations into it
- Large Language Models — 46 citations into it
- Representation & Self-Supervised Learning — 33 citations into it
- Information Systems — 31 citations into it; #2,737 of 8,771 by trust here, #7,705 by citations
- Sociology and Political Science — 23 citations into it; #6,544 of 22,756 by trust here, #19,300 by citations
Whom Sneha Kudugunta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Noam Shazeer
- Tomas Mikolov
- Sepp Hochreiter
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- J. Urgen Schmidhuber
Who trusts Sneha Kudugunta overall
- David M. Beskow
- Maithra Raghu
- Kai-Cheng Yang
- Adam Badawy
- Giovanni Da San Martino
- Raj Dabre
- Ethan A. Chi
- Onur Varol
- Shijie Wu
- Aseel Addawood
Papers from Sneha Kudugunta's perspective
Ordered by how strongly the researchers Sneha Kudugunta trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- PaLM 2 Technical Report (2023) — 1,524 citations
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- Investigating Multilingual NMT Representations at Scale (2019) — 138 citations
- Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation (2020) — 88 citations
- Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference (2021) — 136 citations
- MURAL: Multimodal, Multitask Representations Across Languages (2021) — 50 citations
- Deep Neural Networks for Bot Detection (2018) — 509 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- MURAL: Multimodal, Multitask Retrieval Across Languages (2021) — 64 citations