Julia Kiseleva

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 15 citations into it
• Reinforcement Learning — 7 citations into it

Whom Julia Kiseleva trusts overall

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

1. Jiwei Li
2. Diederik P. Kingma
3. Brian D. Ziebart
4. Iulian Serban
5. Alan Ritter
6. Yoshua Bengio
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Gabriel Forgues
10. Alessandro Sordoni

Who trusts Julia Kiseleva overall

1. Natasha Jaques

Papers from Julia Kiseleva's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning (2018) — 55 citations