Artyom 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 Artyom 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. Bharadwaj Pudipeddi
8. Yoshua Bengio
9. Luke S. Zettlemoyer
10. Alex Krizhevsky

Papers from Artyom Eliseev's perspective

Ordered by how strongly the researchers Artyom 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. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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