William A. Sethares
Artificial Intelligence · 2014–2019
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Experimental and Cognitive Psychology — 9 citations into it
- Multimodal Learning — 8 citations into it
Whom William A. Sethares trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir Zadeh
- Percy Liang
- Shotaro Akaho
- Soujanya Poria
- Louis-philippe Morency
- Geoffrey E. Hinton
- Jacob Devlin
- Yoshua Bengio
- Michael V. Boland
- Diederik P. Kingma
Papers from William A. Sethares's perspective
Ordered by how strongly the researchers William A. Sethares 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis (2019) — 434 citations
- The geometry of musical rhythm: what makes a “good” rhythm good? (2014) — 97 citations