Iddo Drori
Artificial Intelligence · 2003–2021
A researcher in the Science corpus: 8 papers; trusts 37 researchers and is trusted by 89 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #20,180 of 35,345 by trust here, #14,181 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #3,463 of 21,575 by trust here, #8,296 by citations
- Natural Language Processing — 28 citations into it; #4,111 of 5,688 by trust here, #5,214 by citations
- Computational Mechanics — 19 citations into it
- Signal Processing — 11 citations into it
- Optimization & Training — 8 citations into it
- Applied Mathematics — 5 citations into it
- Large Language Models — 5 citations into it; #492 of 799 by trust here, #648 by citations
Whom Iddo Drori trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Bergstra
- Yoshua Bengio
- Lei Wang
- Randal S. Olson
- Richard S. Sutton
- Geoffrey E. Hinton
- Sepp Hochreiter
- Jipeng Zhang
- Alex Krizhevsky
- Diederik P. Kingma
Who trusts Iddo Drori overall
- Nikos Komodakis
- Kaiming He
- Marc-André Zöller
- Yichen Xu
- Tal Hassner
- Zongben Xu
- Christine M. Guillemot
- Jia-Bin Huang
- Zongyu Guo
- Matthias Feurer
Papers from Iddo Drori's perspective
Ordered by how strongly the researchers Iddo Drori 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Fragment-based image completion (2003) — 735 citations
- Solving Linear Algebra by Program Synthesis (2021) — 20 citations
- Solving Probability and Statistics Problems by Program Synthesis (2021) — 15 citations
- AlphaD3M: Machine Learning Pipeline Synthesis (2021) — 93 citations
- A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level (2021) — 190 citations
- Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar (2019) — 30 citations
- Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit (2012) — 1,427 citations
- High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures (2018)