Gilad Avidov

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Speech & Audio — 30 citations into it
• Natural Language Processing — 18 citations into it
• Model Architectures — 12 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Gilad Avidov trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. François Chollet
4. Yoshua Bengio
5. Jimmy Ba

Papers from Gilad Avidov's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Layer Normalization
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
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

• Rethinking Evaluation in ASR: Are Our Models Robust Enough? (2020) — 111 citations
• Scaling Up Online Speech Recognition Using ConvNets (2020) — 48 citations