Lilyana Mihalkova

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Lilyana Mihalkova trusts overall

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

1. Pedro M. Domingos
2. Stanley Kok
3. Matthew Richardson
4. Matthew E. Taylor
5. Hoifung Poon
6. Kenneth D. Forbus
7. Dedre Gentner
8. Raymond J. Mooney
9. Peter Stone
10. Gregory Kuhlmann

Who trusts Lilyana Mihalkova overall

1. Meng Fang
2. Xuezhi Wang
3. Qiang Yang
4. Jan Van Haaren
5. Jesse Davis
6. Jie Yin
7. Yong Luo
8. Sinno Jialin Pan
9. Raksha Kumaraswamy
10. Matthew E. Taylor

Papers from Lilyana Mihalkova's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. Probabilistic reasoning in intelligent systems: Networks of plausible inference
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Transfer Learning by Mapping with Minimal Target Data (2008) — 87 citations
• Mapping and Revising Markov Logic Networks for Transfer Learning (2007) — 352 citations