Shubham Jain

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Model Architectures — 10 citations into it
• Generative Models — 7 citations into it; #883 of 1,956 by trust here, #482 by citations

Whom Shubham Jain trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Alex Graves
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Kaiming He
7. Sepp Hochreiter

Who trusts Shubham Jain overall

1. Takuma Okamoto
2. Wei Ping

Papers from Shubham Jain's perspective

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

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

Their papers

• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model (2016) — 630 citations
• Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? (2018) — 2,285 citations