Ilya Kulikov

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #13,462 of 21,575 by trust here, #16,787 by citations
• Model Architectures — 5 citations into it; #1,494 of 2,278 by trust here, #1,976 by citations

Whom Ilya Kulikov trusts overall

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

1. Alex Graves

Who trusts Ilya Kulikov overall

1. Albert Zeyer

Papers from Ilya Kulikov's perspective

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

1. Long Short-Term Memory
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Large Scale Distributed Deep Networks
5. ImageNet classification with deep convolutional neural networks
6. Show and tell: A neural image caption generator
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Caffe: Convolutional Architecture for Fast Feature Embedding
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Returnn: The RWTH extensible training framework for universal recurrent neural networks (2016) — 79 citations