Max Morrison
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it
- Signal Processing — 45 citations into it; #7,129 of 7,572 by trust here, #4,750 by citations
- Generative Models — 28 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it; #20,229 of 21,575 by trust here, #17,258 by citations
- Speech & Audio — 18 citations into it
- Natural Language Processing — 17 citations into it
- Optimization & Training — 6 citations into it
Whom Max Morrison trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Masanori Morise
- Aapo Hyvärinen
- Oriol Vinyals
- Alex Graves
Who trusts Max Morrison overall
- Hubert Siuzdak
- Rithesh Kumar
- Zhaoxi Mu
- Jaesung Tae
- Jean-Marc Valin
- Sang-gil Lee
- Daxin Tan
- Prem Seetharaman
- Hyeongju Kim
- Xinyu Yang
Papers from Max Morrison's perspective
Ordered by how strongly the researchers Max Morrison 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Controllable Neural Prosody Synthesis (2020) — 24 citations
- Chunked Autoregressive GAN for Conditional Waveform Synthesis (2021) — 96 citations
- Context-Aware Prosody Correction for Text-Based Speech Editing (2021) — 36 citations
- Segmented DAPS (Device and Produced Speech) Dataset (2021)
- OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example (2019) — 4 citations