Benjamin Milde

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #19,662 of 35,345 by trust here, #28,481 by citations
• Signal Processing — 15 citations into it
• Speech & Audio — 12 citations into it; #616 of 1,076 by trust here, #960 by citations

Whom Benjamin Milde trusts overall

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

1. Daniel Povey
2. Diederik P. Kingma
3. Vijayaditya Peddinti
4. Geoffrey E. Hinton
5. Leland McInnes
6. Jimmy Ba
7. A. Waibel
8. Sanjeev Khudanpur
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Benjamin Milde overall

1. Yu-An Chung
2. Alexander H. Liu
3. James R. Glass
4. David F. Harwath
5. Wei-Ning Hsu
6. Weiran Wang
7. Lasse Borgholt

Papers from Benjamin Milde's perspective

Ordered by how strongly the researchers Benjamin Milde 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Unspeech: Unsupervised Speech Context Embeddings (2018) — 28 citations