Igor V. Ostrovsky

Artificial Intelligence · 2023

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

Subfields

• Artificial Intelligence — 38 citations into it

Whom Igor V. Ostrovsky trusts

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

1. Yoshua Bengio (in Artificial Intelligence)

Papers from Igor V. Ostrovsky's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Language Models are Unsupervised Multitask Learners
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Eliciting Latent Predictions from Transformers with the Tuned Lens (2023) — 516 citations