Dmitry Bogdanov
Signal Processing · 2013–2020
A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 32 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Artificial Intelligence — 18 citations into it
- Evaluation & Benchmarks — 11 citations into it; #2,140 of 3,147 by trust here, #1,895 by citations
- Optimization & Training — 5 citations into it
Whom Dmitry Bogdanov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin Salamon
- Keunwoo Choi
- Tao Li
- Jesse Davis
- Chih-Wei Hsu
- Edith Law
- Michaël Defferrard
- Diederik P. Kingma
- György Fazekas
- Mark B. Sandler
Who trusts Dmitry Bogdanov overall
- Eduardo Fonseca
- Xavier Favory
- Minz Won
- Xavier Serra
- Frederic Font
- Andrés Ferraro
- Alexandre D'efossez
- Rithesh Kumar
- Rong Gong
- Jordi Pons
Papers from Dmitry Bogdanov's perspective
Ordered by how strongly the researchers Dmitry Bogdanov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Evaluation of CNN-based Automatic Music Tagging Models (2020) — 113 citations
- The MTG-Jamendo Dataset for Automatic Music Tagging (2019) — 295 citations
- Freesound Datasets: A Platform for the Creation of Open Audio Datasets (2017) — 277 citations
- Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks (2017) — 29 citations
- Cross-Collection Evaluation for Music Classification Tasks (2016) — 29 citations
- Essentia: An Audio Analysis Library for Music Information Retrieval (2013) — 453 citations