Johan Schalkwyk
Artificial Intelligence · 2007–2024
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it; #17,052 of 35,345 by trust here, #5,924 by citations
- Speech & Audio — 75 citations into it
- Natural Language Processing — 41 citations into it
- Model Architectures — 17 citations into it
Whom Johan Schalkwyk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hynek Hermansky
- Mark John Francis Gales
- Slava M. Katz
- Mehryar Mohri
- Maryam Kamvar
- Daniel Povey
- Cyril Allauzen
- Alex Graves
- Shumeet Baluja
Who trusts Johan Schalkwyk overall
- Yedid Hoshen
- Francisco Cruz
- Felix Stahlberg
- Jiameng Gao
- John Dines
- Tara N. Sainath
- Jan Chorowski
- Rohit Prabhavalkar
- Bill Byrne
- Ron J. Weiss
Papers from Johan Schalkwyk's perspective
Ordered by how strongly the researchers Johan Schalkwyk trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Large Scale Distributed Deep Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Speech recognition with deep recurrent neural networks
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A tutorial on hidden Markov models and selected applications in speech recognition
- Gradient-based learning applied to document recognition
Their papers
- OpenFst: A General and Efficient Weighted Finite-State Transducer Library (2007) — 672 citations
- “Your Word is my Command”: Google Search by Voice: A Case Study (2010) — 253 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- AudioPaLM: A Large Language Model That Can Speak and Listen (2023) — 486 citations
- Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages (2023) — 396 citations
- Long short term memory neural network for keyboard gesture decoding (2015) — 51 citations