Michael I. Mandel
Signal Processing · 2005–2021
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 60 citations into it; #1,229 of 7,572 by trust here, #1,433 by citations
- Artificial Intelligence — 58 citations into it
- Speech & Audio — 55 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it; #7,854 of 21,575 by trust here, #11,498 by citations
- Computational Mechanics — 15 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Michael I. Mandel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Beth T. Logan
- Yoshua Bengio
- P. Loizou
- Hugo Larochelle
- Max Welling
- Ruslan Salakhutdinov
- Özgür Yilmaz
- Jean-Julien Aucouturier
- Tao Li
Who trusts Michael I. Mandel overall
- Colin Raffel
- Philippe Hamel
- Zhong-Qiu Wang
- Kateřina Žmolíková
- Nicolas Scaringella
- Yu-Gang Jiang
- Pierre-Amaury Grumiaux
- Yi Sun
- Yi-jiao Jiang
- Douglas Eck
Papers from Michael I. Mandel's perspective
Ordered by how strongly the researchers Michael I. Mandel 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings (2020) — 407 citations
- Song-Level Features and Support Vector Machines for Music Classification (2005) — 352 citations
- Waning Immunity after the BNT162b2 Vaccine in Israel (2021) — 891 citations
- Protection of BNT162b2 Vaccine Booster against Covid-19 in Israel (2021) — 1,038 citations
- Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks (2016) — 350 citations
- Learning Algorithms for the Classification Restricted Boltzmann Machine (2012) — 326 citations
- Model-Based Expectation-Maximization Source Separation and Localization (2010) — 332 citations
- Evaluation of Algorithms Using Games: The Case of Music Tagging (2009) — 323 citations