Ariuntuya Altanzaya

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Reinforcement Learning — 33 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Natural Language Processing — 7 citations into it

Whom Ariuntuya Altanzaya trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yann LeCun
8. Ilya Sutskever
9. Sergey Levine
10. J. Urgen Schmidhuber

Papers from Ariuntuya Altanzaya's perspective

Ordered by how strongly the researchers Ariuntuya Altanzaya 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
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

• Behavior Transformers: Cloning k modes with one stone (2022) — 421 citations