Milad Hashemi
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it
- Information Systems — 40 citations into it
- Natural Language Processing — 37 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Graph Learning — 21 citations into it
- Model Architectures — 18 citations into it
- Computer Networks and Communications — 13 citations into it
- Statistical and Nonlinear Physics — 13 citations into it
Whom Milad Hashemi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Alex Graves
- Galileo Namata
- Max Welling
- Oriol Vinyals
Papers from Milad Hashemi's perspective
Ordered by how strongly the researchers Milad Hashemi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Neural Execution Engines: Learning to Execute Subroutines (2020) — 45 citations
- Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 (2024) — 1,610 citations
- Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 (2024) — 644 citations
- Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 (2024) — 859 citations
- Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 (2024) — 1,693 citations
- Learning Performance-Improving Code Edits (2023) — 155 citations
- Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks (2021) — 309 citations
- Learning Execution through Neural Code Fusion (2019) — 32 citations