Maxime Knibbe

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Maxime Knibbe trusts overall

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

1. Andreas Stolcke
2. Alex Graves
3. J. Urgen Schmidhuber
4. Sepp Hochreiter

Papers from Maxime Knibbe's perspective

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

1. Long Short-Term Memory
2. Curriculum learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
5. Gradient-based learning applied to document recognition
6. The Kaldi Speech Recognition Toolkit
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
10. Learning Precise Timing with LSTM Recurrent Networks

Their papers

• The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation (2014) — 48 citations