Sumit K. Sanghai
Artificial Intelligence · 2004–2025
A researcher in the Science corpus: 6 papers; trusts 61 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it; #7,822 of 35,345 by trust here, #3,261 by citations
- Computer Vision and Pattern Recognition — 64 citations into it
- Natural Language Processing — 46 citations into it
- Model Architectures — 44 citations into it; #2,218 of 2,278 by trust here, #827 by citations
- Large Language Models — 30 citations into it
- Efficiency & Compression — 23 citations into it
- Optimization & Training — 5 citations into it
Whom Sumit K. Sanghai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Shazeer
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Ashish Vaswani
- Oriol Vinyals
- Kaiming He
Who trusts Sumit K. Sanghai overall
Papers from Sumit K. Sanghai's perspective
Ordered by how strongly the researchers Sumit K. Sanghai trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- Adversarial classification (2004) — 1,071 citations
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (2023) — 1,604 citations
- ETC: Encoding Long and Structured Data in Transformers (2020) — 58 citations
- ETC: Encoding Long and Structured Inputs in Transformers (2020) — 415 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference (2022) — 44 citations