Shubho Sengupta
Artificial Intelligence · with Diamos · 2014–2021
A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it; #18,385 of 35,345 by trust here, #4,101 by citations
- Computer Vision and Pattern Recognition — 69 citations into it; #20,373 of 21,575 by trust here, #8,409 by citations
- Model Architectures — 61 citations into it; #2,116 of 2,278 by trust here, #1,231 by citations
- Signal Processing — 61 citations into it
- Natural Language Processing — 60 citations into it; #3,174 of 5,688 by trust here, #296 by citations
- Speech & Audio — 50 citations into it; #930 of 1,076 by trust here, #145 by citations
- Optimization & Training — 34 citations into it
- Information Systems — 15 citations into it
Whom Shubho Sengupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Graves
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Alex Krizhevsky
- Kaiming He
- George E. Dahl
- Diederik P. Kingma
- Abdel-rahman Mohamed
Who trusts Shubho Sengupta overall
Papers from Shubho Sengupta's perspective
Ordered by how strongly the researchers Shubho Sengupta trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Exploring Sparsity in Recurrent Neural Networks (2017) — 328 citations
- Deep Voice: Real-time Neural Text-to-Speech (2017) — 666 citations
- ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero (2019) — 120 citations
- CrypTen: Secure Multi-Party Computation Meets Machine Learning (2021) — 544 citations
- Persistent RNNs: Stashing Recurrent Weights On-Chip (2016) — 95 citations
- Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin (2015) — 3,177 citations
- Deep Speech: Scaling up end-to-end speech recognition (2014) — 2,263 citations
- Navigating the maze of graph analytics frameworks using massive graph datasets (2014) — 202 citations