Roland Badeau
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #14,151 of 21,575 by trust here, #16,787 by citations
- Signal Processing — 16 citations into it; #4,743 of 7,572 by trust here, #5,570 by citations
- Speech & Audio — 8 citations into it
- Optimization & Training — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
Whom Roland Badeau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Roland Badeau overall
Papers from Roland Badeau's perspective
Ordered by how strongly the researchers Roland Badeau trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle (2010) — 373 citations
- Joint Phoneme Alignment and Text-Informed Speech Separation on Highly Corrupted Speech (2020) — 21 citations
- Generalized Sliced Wasserstein Distances (2019) — 389 citations