Raghuram Vadapalli

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #30,666 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 25 citations into it; #4,986 of 5,688 by trust here, #5,092 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #18,982 of 21,575 by trust here, #18,782 by citations
• Model Architectures — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Raghuram Vadapalli trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Oriol Vinyals
5. Ilya Sutskever
6. Christopher D. Manning
7. Alex Krizhevsky
8. Dzmitry Bahdanau
9. Jimmy Ba
10. Kyunghyun Cho

Who trusts Raghuram Vadapalli overall

1. Kuan-Hao Huang

Papers from Raghuram Vadapalli's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• Syntax-Guided Controlled Generation of Paraphrases (2020) — 105 citations