Brian Kan-Wing Mak
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 6 papers; trusts 112 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #13,136 of 35,345 by trust here, #15,866 by citations
- Signal Processing — 44 citations into it; #2,488 of 7,572 by trust here, #2,589 by citations
- Speech & Audio — 40 citations into it
- Natural Language Processing — 23 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Brian Kan-Wing Mak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Daniel Povey
- Yoshua Bengio
- David Snyder
- Alex Krizhevsky
- Alex Graves
- Diederik P. Kingma
- Dong Yu
- Sercan Ö. Arik
- Aäron van den Oord
Who trusts Brian Kan-Wing Mak overall
Papers from Brian Kan-Wing Mak's perspective
Ordered by how strongly the researchers Brian Kan-Wing Mak trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Subspace distribution clustering hidden Markov model (2001) — 117 citations
- Eigentriphones for Context-Dependent Acoustic Modeling (2013) — 9 citations
- Multitask Learning of Deep Neural Networks for Low-Resource Speech Recognition (2015) — 115 citations
- Multi-Lingual Multi-Speaker Text-to-Speech Synthesis for Voice Cloning with Online Speaker Enrollment (2020) — 14 citations
- Cross-lingual Multi-speaker Text-to-speech Synthesis for Voice Cloning without Using Parallel Corpus for Unseen Speakers (2019) — 31 citations
- Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification (2018) — 269 citations