Amit Awekar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #14,322 of 35,345 by trust here, #28,481 by citations
• Information Systems — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Amit Awekar trusts overall

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

1. Yoon Kim
2. L. V. D. van der Maaten
3. Geoffrey E. Hinton
4. Zeerak Talat
5. Jeffrey Pennington
6. Kelly Reynolds
7. Richard Socher
8. Yoshua Bengio
9. Duyu Tang
10. Christopher D. Manning

Who trusts Amit Awekar overall

1. Michael Wiegand
2. Kanika Narang
3. Rui Cao
4. Thanh Thuy Trang Tran
5. Chris Brew

Papers from Amit Awekar's perspective

Ordered by how strongly the researchers Amit Awekar 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (2018) — 349 citations