Ron Weiss

Artificial Intelligence · with Blondel · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #22,872 of 35,345 by trust here, #407 by citations
• Signal Processing — 15 citations into it
• Speech & Audio — 14 citations into it; #996 of 1,076 by trust here, #1,060 by citations

Whom Ron Weiss trusts overall

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

1. Tara N. Sainath
2. Alex Graves
3. Bo Li
4. Geoffrey E. Hinton
5. Jan Chorowski

Who trusts Ron Weiss overall

1. Jinyu Li

Papers from Ron Weiss's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Dropout: a simple way to prevent neural networks from overfitting
10. Layer Normalization

Their papers

• Scikit-learn: Machine Learning in Python (2011) — 91,720 citations
• An Attention-Based Joint Acoustic and Text on-Device End-To-End Model (2020) — 16 citations