Abhinav Mehrotra

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Efficiency & Compression — 10 citations into it
• Speech & Audio — 8 citations into it
• Model Architectures — 7 citations into it
• Neural Architecture Search & AutoML — 7 citations into it
• Optimization & Training — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Abhinav Mehrotra trusts overall

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

1. Alex Krizhevsky
2. Quoc V. Le
3. Yann LeCun
4. Mingxing Tan
5. Geoffrey E. Hinton
6. Kaiming He
7. Barret Zoph
8. Yoshua Bengio
9. Karen Simonyan
10. Jia Deng

Who trusts Abhinav Mehrotra overall

1. J. Mellor

Papers from Abhinav Mehrotra's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
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. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Zero-Cost Proxies for Lightweight NAS (2021) — 352 citations
• Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems (2020) — 27 citations