Alexander Tselousov

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 47 citations into it
• Large Language Models — 6 citations into it

Whom Alexander Tselousov trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alec Radford
4. Ilya Sutskever

Papers from Alexander Tselousov's perspective

Ordered by how strongly the researchers Alexander Tselousov 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. GloVe: Global Vectors for Word Representation
8. Gradient-based learning applied to document recognition
9. Language Models are Unsupervised Multitask Learners
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Large-Scale Transfer Learning for Natural Language Generation (2019) — 93 citations
• Lost in Conversation: A Conversational Agent Based on the Transformer and Transfer Learning (2019) — 13 citations