Michelle Tadmor Ramanovich

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 116 citations into it; #21,030 of 35,345 by trust here, #20,377 by citations
• Speech & Audio — 70 citations into it; #969 of 1,076 by trust here, #738 by citations
• Signal Processing — 52 citations into it; #7,429 of 7,572 by trust here, #5,570 by citations
• Machine Translation — 32 citations into it; #263 of 292 by trust here, #138 by citations
• Natural Language Processing — 24 citations into it
• Model Architectures — 17 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Michelle Tadmor Ramanovich trusts overall

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

1. Ye Jia
2. Yu Zhang
3. Jonathan Shen
4. Heiga Zen
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Yoshua Bengio
8. Alex Graves
9. Aäron van den Oord
10. Ron J. Weiss

Who trusts Michelle Tadmor Ramanovich overall

1. Ye Jia
2. Xinjian Li
3. Qianqian Dong
4. Yeting Jia
5. Rongjie Huang
6. Yifan Ding
7. Ankur Bapna
8. Paul K. Rubenstein

Papers from Michelle Tadmor Ramanovich's perspective

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

Their papers

• CVSS Corpus and Massively Multilingual Speech-to-Speech Translation (2022) — 102 citations
• Translatotron 2: High-quality direct speech-to-speech translation with voice preservation (2021) — 118 citations
• Translatotron 2: Robust direct speech-to-speech translation (2021) — 31 citations