Vikrant Singh Tomar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Signal Processing — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Vikrant Singh Tomar trusts overall

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

1. Yoshua Bengio
2. Mirco Ravanelli
3. R. Caruana
4. Geoffrey E. Hinton
5. Alex Graves
6. Pete Warden

Papers from Vikrant Singh Tomar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Multitask Learning
8. Attention is All you Need (Neural Information Processing Systems)
9. Efficient Estimation of Word Representations in Vector Space
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Speech Model Pre-training for End-to-End Spoken Language Understanding (2019) — 402 citations