Ramesh Baral

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #30,543 of 35,345 by trust here, #34,943 by citations
• Information Systems — 19 citations into it; #7,274 of 8,771 by trust here, #8,676 by citations
• Natural Language Processing — 8 citations into it
• Recommender Systems — 7 citations into it

Whom Ramesh Baral trusts overall

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

1. Jon M. Kleinberg
2. Yoon Kim
3. Taher H. Haveliwala
4. Tomas Mikolov
5. Jonathan L. Herlocker
6. David M. Blei
7. Ilya Sutskever
8. Christopher D. Manning
9. Yongfeng Zhang
10. Geoffrey E. Hinton

Who trusts Ramesh Baral overall

1. Yongfeng Zhang
2. Xu Chen

Papers from Ramesh Baral's perspective

Ordered by how strongly the researchers Ramesh Baral 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• ReEL: Review Aware Explanation of Location Recommendation (2018) — 37 citations