Piyush Jain

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Piyush Jain trusts overall

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

1. Leo Breiman
2. Stephen W. Carden
3. Jerome H. Friedman
4. Trevor J. Hastie
5. Kevin P. Murphy
6. Sepp Hochreiter
7. Jane Elith
8. Julian D. Olden
9. Jan Kukacka
10. Robert Tibshirani

Papers from Piyush Jain's perspective

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

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

Their papers

• A review of machine learning applications in wildfire science and management (2020) — 693 citations
• A review on mechanical behavior of natural fiber reinforced polymer composites and its applications (2019) — 208 citations