Antoine Deleforge

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Signal Processing — 31 citations into it
• Speech & Audio — 20 citations into it
• Optimization & Training — 5 citations into it

Whom Antoine Deleforge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yi Luo
2. Diederik P. Kingma
3. Yoshua Bengio
4. Nima Mesgarani
5. Dong Yu
6. Geoffrey E. Hinton
7. Mirco Ravanelli

Papers from Antoine Deleforge's perspective

Ordered by how strongly the researchers Antoine Deleforge trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Histograms of oriented gradients for human detection
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Filterbank Design for End-to-end Speech Separation (2019) — 75 citations
• LibriMix: An Open-Source Dataset for Generalizable Speech Separation (2020) — 428 citations
• Head pose estimation via probabilistic high-dimensional regression (2015) — 61 citations