Ashok Popat

Computer Vision and Pattern Recognition · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Natural Language Processing — 11 citations into it; #1,841 of 5,688 by trust here, #1,715 by citations
• Signal Processing — 11 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ashok Popat trusts overall

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

1. Joshua Goodman
2. Muthu Dayalan
3. Frederick Jelinek
4. Philipp Koehn
5. Slava M. Katz
6. Franz Joseph Och
7. Monika Henzinger
8. Stanley F. Chen
9. Reinhard Kneser
10. Hermann Ney

Who trusts Ashok Popat overall

1. Ciprian Chelba
2. Isaac Caswell
3. Markus Freitag
4. Girish Kulkarni
5. Holger Schwenk
6. Jiameng Gao
7. Jimmy J. Lin
8. S. Reddy
9. Michael J. Cafarella
10. Kenneth Heafield

Papers from Ashok Popat's perspective

Ordered by how strongly the researchers Ashok Popat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Bleu: a Method for Automatic Evaluation of Machine Translation
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision (2019) — 32 citations
• Large Scale Parallel Document Mining for Machine Translation (2010) — 167 citations
• Large Language Models in Machine Translation (2007) — 720 citations