Ravi Teja Gadde

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Natural Language Processing — 23 citations into it
• Signal Processing — 21 citations into it
• Speech & Audio — 16 citations into it
• Optimization & Training — 12 citations into it

Whom Ravi Teja Gadde trusts overall

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

1. Geoffrey E. Hinton
2. Ronan Collobert
3. Albert Zeyer
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Graves

Who trusts Ravi Teja Gadde overall

1. Nick Rossenbach

Papers from Ravi Teja Gadde's perspective

Ordered by how strongly the researchers Ravi Teja Gadde 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Layer Normalization
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Jasper: An End-to-End Convolutional Neural Acoustic Model (2019) — 288 citations
• Training Neural Speech Recognition Systems with Synthetic Speech Augmentation (2018) — 61 citations