Divya Gupta
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it; #18,247 of 35,345 by trust here, #19,018 by citations
- Privacy & Security — 62 citations into it
- Computational Theory and Mathematics — 22 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it; #19,954 of 21,575 by trust here, #17,757 by citations
- Information Systems — 17 citations into it
- Computer Networks and Communications — 14 citations into it
- ML Systems & Hardware — 13 citations into it
- Electrical and Electronic Engineering — 10 citations into it
Whom Divya Gupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ran Canetti
- Payman Mohassel
- Donald Beaver
- Yann LeCun
- Jian Liu
- Chiraag Shashikant Juvekar
- Dan Bogdanov
- L. Eon Bottou
- Yoshua Bengio
- Yupeng Zhang
Who trusts Divya Gupta overall
- Assi Barak
- Marcel Keller
- Rahul Rachuri
- Daniel E. Escudero
- Brian Knott
- Hanieh Hashemi
- Nitin Agrawal
- Sameer Wagh
Papers from Divya Gupta's perspective
Ordered by how strongly the researchers Divya Gupta 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- CrypTFlow: Secure TensorFlow Inference (2019) — 280 citations
- CrypTFlow2: Practical 2-Party Secure Inference (2020) — 450 citations
- SecureNN: 3-Party Secure Computation for Neural Network Training (2019) — 486 citations
- SecureNN: Efficient and Private Neural Network Training (2018) — 125 citations