Xutai Ma
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 10 papers; trusts 127 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 195 citations into it; #9,580 of 35,345 by trust here, #7,657 by citations
- Natural Language Processing — 118 citations into it; #4,457 of 5,688 by trust here, #4,032 by citations
- Speech & Audio — 82 citations into it
- Machine Translation — 58 citations into it; #189 of 292 by trust here, #47 by citations
- Evaluation & Benchmarks — 47 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it
- Model Architectures — 43 citations into it
- Signal Processing — 36 citations into it
Whom Xutai Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matt Post
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Yoshua Bengio
- Ilya Sutskever
- Christopher D. Manning
- Ashish Vaswani
- Alex Krizhevsky
- Yann LeCun
Who trusts Xutai Ma overall
Papers from Xutai Ma's perspective
Ordered by how strongly the researchers Xutai Ma 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- 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
Their papers
- Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq (2020) — 334 citations
- Direct Speech-to-Speech Translation With Discrete Units (2021) — 241 citations
- A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks (2020) — 82 citations
- Self-Training for End-to-End Speech Translation (2020) — 69 citations
- SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation (2020) — 130 citations
- Monotonic Multihead Attention (2019) — 152 citations
- SeamlessM4T: Massively Multilingual&Multimodal Machine Translation (2023) — 202 citations
- Direct simultaneous speech to speech translation (2021) — 9 citations
- FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN (2020) — 140 citations
- Broad-Coverage Semantic Parsing as Transduction (2019) — 74 citations