Mahak Gambhir

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #24,801 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 23 citations into it
• Molecular Biology — 5 citations into it

Whom Mahak Gambhir trusts overall

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

1. Chin-Yew Lin
2. Ramiz M. Aliguliyev
3. T. Landauer
4. Yvette Graham
5. Katja Filippova
6. Rada Mihalcea
7. Hui-Ching Lin
8. Rudi Cilibrasi
9. Vishal Gupta
10. Kai Hong

Who trusts Mahak Gambhir overall

1. Tian Shi
2. Ping Wang
3. Khanh Nguyen
4. Chih-Wen Goo
5. Chandan K. Reddy
6. Jin-ge Yao

Papers from Mahak Gambhir's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. ROUGE: A Package for Automatic Evaluation of Summaries
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Recent automatic text summarization techniques: a survey (2016) — 739 citations