Vincent Lostanlen
Signal Processing · 2019–2020
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Signal Processing — 23 citations into it; #7,028 of 7,572 by trust here, #5,570 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Developmental Biology — 12 citations into it; #426 of 711 by trust here, #530 by citations
- Artificial Intelligence — 8 citations into it
- Ecology, Evolution, Behavior and Systematics — 5 citations into it
Whom Vincent Lostanlen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin Salamon
- Juan Pablo Bello
- Brian McFee
- Diederik P. Kingma
- Eric J. Humphrey
- Jimmy Ba
- Andrew Farnsworth
- Xu Jia
- Dangwei Li
- Andreas Schwarz
Who trusts Vincent Lostanlen overall
Papers from Vincent Lostanlen's perspective
Ordered by how strongly the researchers Vincent Lostanlen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers (2020) — 33 citations
- SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context (2020) — 49 citations
- SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network (2019) — 71 citations
- Robust sound event detection in bioacoustic sensor networks (2019) — 104 citations