A. Eliseev

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Efficiency & Compression — 21 citations into it
• Large Language Models — 18 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom A. Eliseev trusts overall

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

1. Tim Dettmers
2. Elias Frantar
3. Michael I. Jordan
4. Robert A. Jacobs
5. Geoffrey E. Hinton
6. Noam Shazeer
7. Yoshua Bengio
8. Bharadwaj Pudipeddi
9. Luke S. Zettlemoyer
10. Alex Krizhevsky

Papers from A. Eliseev's perspective

Ordered by how strongly the researchers A. Eliseev 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast Inference of Mixture-of-Experts Language Models with Offloading (2023) — 97 citations