Saptarshi Sengupta
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 154 citations into it
- Computer Vision and Pattern Recognition — 108 citations into it
- Model Architectures — 30 citations into it
- Electrical and Electronic Engineering — 28 citations into it
- Signal Processing — 26 citations into it
- Generative Models — 18 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Optimization & Training — 14 citations into it
Whom Saptarshi Sengupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Marc'Aurelio Ranzato
- James Kennedy
- Xiaodong Li
- Ruslan Salakhutdinov
Papers from Saptarshi Sengupta's perspective
Ordered by how strongly the researchers Saptarshi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)