Gaurav Singh Tomar

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 238 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 180 citations into it; #11,789 of 35,345 by trust here, #7,531 by citations
• Natural Language Processing — 146 citations into it; #4,438 of 5,688 by trust here, #2,605 by citations
• Computer Vision and Pattern Recognition — 66 citations into it; #9,476 of 21,575 by trust here, #12,172 by citations
• Evaluation & Benchmarks — 36 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Information Retrieval & Search — 22 citations into it; #469 of 1,022 by trust here, #591 by citations
• Model Architectures — 16 citations into it

Whom Gaurav Singh Tomar trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Richard Socher
4. Diederik P. Kingma
5. Ilya Sutskever
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Dzmitry Bahdanau
9. Yann LeCun
10. Christopher D. Manning

Who trusts Gaurav Singh Tomar overall

1. Manaal Faruqui
2. Xin Liu
3. Dipanjan Das
4. Gautier Izacard
5. Qingcai Chen
6. Yinfei Yang
7. Nouha Dziri
8. Martin Tutek
9. Ji Ma

Papers from Gaurav Singh Tomar's perspective

Ordered by how strongly the researchers Gaurav Singh Tomar 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. 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. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Measuring Attribution in Natural Language Generation Models (2021) — 277 citations
• End-to-End Retrieval in Continuous Space (2018) — 108 citations
• Thieves on Sesame Street! Model Extraction of BERT-based APIs (2019) — 261 citations
• Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features (2021) — 119 citations
• Attention Interpretability Across NLP Tasks (2019) — 191 citations
• CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning (2021) — 113 citations
• Neural Paraphrase Identification of Questions with Noisy Pretraining (2017) — 81 citations