Arpit Singh

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 12 citations into it

Whom Arpit Singh trusts overall

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

1. Oriol Vinyals
2. Sepp Hochreiter
3. Yoshua Bengio
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. J. Urgen Schmidhuber
7. Quoc V. Le
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Alex Graves

Papers from Arpit Singh's perspective

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

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

Their papers

• The Rapidly Changing Landscape of Conversational Agents (2018) — 10 citations