Dheeraj Rajagopal

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 183 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 127 citations into it; #10,362 of 35,345 by trust here, #7,010 by citations
• Natural Language Processing — 79 citations into it; #2,604 of 5,688 by trust here, #1,801 by citations
• Computer Vision and Pattern Recognition — 41 citations into it; #8,451 of 21,575 by trust here, #5,806 by citations
• Safety, Robustness & Interpretability — 32 citations into it
• Reinforcement Learning — 19 citations into it
• Model Architectures — 18 citations into it; #1,569 of 2,278 by trust here, #942 by citations
• Evaluation & Benchmarks — 11 citations into it
• Information Retrieval & Search — 7 citations into it

Whom Dheeraj Rajagopal trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Ilya Sutskever
6. Karen Simonyan
7. Richard Socher
8. Yann LeCun
9. Kaiming He
10. Ronald J. Williams

Who trusts Dheeraj Rajagopal overall

1. Soujanya Poria
2. Erik Cambria
3. J'er'emy Scheurer
4. Shiyue Zhang
5. Felix Hill
6. Daniel Gordon

Papers from Dheeraj Rajagopal's perspective

Ordered by how strongly the researchers Dheeraj Rajagopal 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. 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Gated-Attention Architectures for Task-Oriented Language Grounding (2017) — 289 citations
• Simple and Effective Semi-Supervised Question Answering (2018) — 67 citations
• SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers (2021) — 80 citations
• Think about it! Improving defeasible reasoning by first modeling the question scenario. (2021) — 35 citations
• SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis (2014) — 450 citations