Gregory Sell
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #6,028 of 35,345 by trust here, #6,569 by citations
- Signal Processing — 37 citations into it; #1,071 of 7,572 by trust here, #812 by citations
- Speech & Audio — 28 citations into it; #308 of 1,076 by trust here, #289 by citations
- Natural Language Processing — 6 citations into it
Whom Gregory Sell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Snyder
- Daniel Povey
- Sergey Ioffe
- Daniel Garcia-Romero
- Patrick Kenny
- Florin Curelaru
- Arsha Nagrani
- Ahmad Salman
- Vijayaditya Peddinti
- Joon Son Chung
Who trusts Gregory Sell overall
- Yusuke Fujita
- Shinji Watanabe
- Shota Horiguchi
- Joon Son Chung
- David Snyder
- Erica Cooper
- Junichi Yamagishi
- Brecht Desplanques
- Zhaoyu Liu
- Neville Ryant
Papers from Gregory Sell's perspective
Ordered by how strongly the researchers Gregory Sell 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- X-Vectors: Robust DNN Embeddings for Speaker Recognition (2018) — 3,060 citations
- Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge (2018) — 234 citations
- Speaker Recognition for Multi-speaker Conversations Using X-vectors (2019) — 322 citations
- Spoken Language Recognition using X-vectors (2018) — 246 citations