Jacob Bremerman

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 15 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Jacob Bremerman trusts overall

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

1. Changhan Wang
2. Matt Post
3. Andreas Stolcke
4. Mauro Cettolo

Papers from Jacob Bremerman's perspective

Ordered by how strongly the researchers Jacob Bremerman 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. The Kaldi Speech Recognition Toolkit
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• The Multilingual TEDx Corpus for Speech Recognition and Translation (2021) — 154 citations