Nirupam Gupta

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Nirupam Gupta trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. Eon Bottou
2. Reza Shokri
3. Leslie Lamport
4. Martin A. Zinkevich
5. Yudong Chen
6. Vitaly Shmatikov
7. Dan Alistarh
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Markus Weimer

Who trusts Nirupam Gupta overall

1. Deepesh Data

Papers from Nirupam Gupta's perspective

Ordered by how strongly the researchers Nirupam Gupta trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression (2019) — 19 citations