Andreas Moshovos

Artificial Intelligence · with Ailamaki · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Efficiency & Compression — 14 citations into it; #317 of 1,264 by trust here, #944 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Large Language Models — 7 citations into it
• Hardware and Architecture — 6 citations into it
• Natural Language Processing — 6 citations into it; #1,780 of 5,688 by trust here, #3,754 by citations

Whom Andreas Moshovos trusts overall

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

1. Song Han
2. Geoffrey E. Hinton
3. Victor Sanh
4. Yu-hsin Chen
5. Yinhan Liu
6. Naveen Muralimanohar
7. Paul Rosenfeld
8. Yoshua Bengio
9. Pranav Rajpurkar
10. Mandar Joshi

Who trusts Andreas Moshovos overall

1. Sehoon Kim
2. Yuhui Li
3. Katikapalli Subramanyam Kalyan
4. Hanrui Wang
5. Wei Zhang
6. Minsik Cho
7. Jing Jin

Papers from Andreas Moshovos's perspective

Ordered by how strongly the researchers Andreas Moshovos 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. Attention is All you Need (Neural Information Processing Systems)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference (2020) — 230 citations
• Demystifying GPU microarchitecture through microbenchmarking (2010) — 490 citations
• Reactive NUCA: near-optimal block placement and replication in distributed caches (2009) — 383 citations