S. S. Jadav

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 56 citations into it
• Computational Theory and Mathematics — 43 citations into it
• Artificial Intelligence — 24 citations into it
• Computational Chemistry & Drug Discovery — 16 citations into it
• Biophysics — 11 citations into it
• Generative Models — 5 citations into it

Whom S. S. Jadav trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Miroslav Kubat
5. Yu-chian Chen
6. Max Welling
7. J. Urgen Schmidhuber
8. Yann LeCun
9. Alex Krizhevsky

Papers from S. S. Jadav's perspective

Ordered by how strongly the researchers S. S. Jadav 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. Attention is All you Need (Neural Information Processing Systems)
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Machine Learning in Drug Discovery: A Review (2021) — 625 citations