Tu Nguyen
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 11 papers; trusts 106 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 341 citations into it; #14,181 of 35,345 by trust here, #6,720 by citations
- Signal Processing — 168 citations into it; #4,783 of 7,572 by trust here, #1,147 by citations
- Speech & Audio — 165 citations into it; #527 of 1,076 by trust here, #330 by citations
- Natural Language Processing — 112 citations into it
- Representation & Self-Supervised Learning — 91 citations into it
- Evaluation & Benchmarks — 48 citations into it
- Large Language Models — 45 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it; #21,350 of 21,575 by trust here, #8,612 by citations
Whom Tu Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alexei Baevski
- Yoshua Bengio
- Morgane Rivière
- Oriol Vinyals
- Ilya Sutskever
- Aäron van den Oord
- Alex Krizhevsky
- Alex Graves
Who trusts Tu Nguyen overall
- Evgeny Kharitonov
- Zalán Borsos
- Michael Hassid
- Jade Copet
- Puyuan Peng
- Alexandre D'efossez
- Soumi Maiti
- Matt Le
- Dong Zhang
- Benjamin van Niekerk
Papers from Tu Nguyen's perspective
Ordered by how strongly the researchers Tu Nguyen 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On Generative Spoken Language Modeling from Raw Audio (2021) — 483 citations
- Text-Free Prosody-Aware Generative Spoken Language Modeling (2021) — 159 citations
- Generative Spoken Dialogue Language Modeling (2022) — 155 citations
- textless-lib: a Library for Textless Spoken Language Processing (2022) — 41 citations
- The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling (2020) — 135 citations
- Textually Pretrained Speech Language Models (2023) — 112 citations
- EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis (2023) — 130 citations
- Are Discrete Units Necessary for Spoken Language Modeling? (2022) — 35 citations
- The Zero Resource Speech Challenge 2021: Spoken Language Modelling (2021) — 68 citations
- Textless Speech Emotion Conversion using Decomposed and Discrete Representations (2021) — 42 citations
- Spoken Language Modeling from Raw Audio