Matthew Sharifi
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 8 papers; trusts 75 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 184 citations into it; #19,007 of 35,345 by trust here, #4,722 by citations
- Signal Processing — 109 citations into it; #5,016 of 7,572 by trust here, #575 by citations
- Speech & Audio — 104 citations into it; #872 of 1,076 by trust here, #190 by citations
- Computer Vision and Pattern Recognition — 99 citations into it; #19,119 of 21,575 by trust here, #8,409 by citations
- Model Architectures — 31 citations into it
- Optimization & Training — 6 citations into it
Whom Matthew Sharifi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jimmy Ba
- Yoshua Bengio
- Alex Krizhevsky
- Karen Simonyan
- Ilya Sutskever
- Alex Graves
- Kaiming He
- Yann LeCun
Who trusts Matthew Sharifi overall
Papers from Matthew Sharifi's perspective
Ordered by how strongly the researchers Matthew Sharifi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- AudioLM: A Language Modeling Approach to Audio Generation (2022) — 990 citations
- MusicLM: Generating Music From Text (2023) — 722 citations
- Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms (2019) — 342 citations
- AudioPaLM: A Large Language Model That Can Speak and Listen (2023) — 486 citations
- Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision (2023) — 291 citations
- SoundStorm: Efficient Parallel Audio Generation (2023) — 162 citations
- SpeechPainter: Text-conditioned Speech Inpainting (2022) — 36 citations
- Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms (2018) — 357 citations