Jeff Z. Ma
Artificial Intelligence · 2000–2014
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it; #6,796 of 35,345 by trust here, #12,387 by citations
- Signal Processing — 6 citations into it; #1,059 of 7,572 by trust here, #1,748 by citations
- Speech & Audio — 5 citations into it; #432 of 1,076 by trust here, #941 by citations
Whom Jeff Z. Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Li Deng
- John Scott Bridle
- Frederick Jelinek
- Arthur P. Dempster
- Mari Ostendorf
- Lori Faith Lamel
- Geoffrey E. Hinton
- Nan M. Laird
- Jean-Luc Gauvain
- Vassilios V. Digalakis
Who trusts Jeff Z. Ma overall
- Li Deng
- Dong Yu
- Scott Novotney
- Vimal Manohar
- Bo Li
- Abdel-rahman Mohamed
- Tatiana Likhomanenko
- Alex Xiao
- Wei-Ning Hsu
- Olga Kapralova
Papers from Jeff Z. Ma's perspective
Ordered by how strongly the researchers Jeff Z. Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Unsupervised Training on Large Amounts of Broadcast News Data (2006) — 57 citations
- Unsupervised versus supervised training of acoustic models (2008) — 57 citations
- Target-directed mixture dynamic models for spontaneous speech recognition (2004) — 37 citations
- Efficient decoding strategies for conversational speech recognition using a constrained nonlinear state-space model (2003) — 26 citations
- A path-stack algorithm for optimizing dynamic regimes in a statistical hidden dynamic model of speech (2000) — 29 citations
- Neural Network Bottleneck Features for Language Identification (2014) — 142 citations