Paden Tomasello
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 8 papers; trusts 73 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 198 citations into it; #23,678 of 35,345 by trust here, #9,369 by citations
- Speech & Audio — 118 citations into it; #1,010 of 1,076 by trust here, #731 by citations
- Signal Processing — 97 citations into it; #7,238 of 7,572 by trust here, #2,343 by citations
- Natural Language Processing — 77 citations into it
- Representation & Self-Supervised Learning — 40 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Large Language Models — 20 citations into it
- Model Architectures — 13 citations into it
Whom Paden Tomasello trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Graves
- Yoshua Bengio
- Alexei Baevski
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Jimmy Ba
- Kaiming He
Who trusts Paden Tomasello overall
Papers from Paden Tomasello's perspective
Ordered by how strongly the researchers Paden Tomasello trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters (2020) — 172 citations
- Self-Training and Pre-Training are Complementary for Speech Recognition (2020) — 180 citations
- Rethinking Evaluation in ASR: Are Our Models Robust Enough? (2020) — 111 citations
- Generative Spoken Dialogue Language Modeling (2022) — 155 citations
- textless-lib: a Library for Textless Spoken Language Processing (2022) — 41 citations
- Seamless: Multilingual Expressive and Streaming Speech Translation (2023) — 299 citations
- Scaling Speech Technology to 1, 000+ Languages (2023) — 691 citations
- SeamlessM4T: Massively Multilingual&Multimodal Machine Translation (2023) — 202 citations