Elad Eban
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 5 papers; trusts 77 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #34,363 of 35,345 by trust here, #10,667 by citations
- Computer Vision and Pattern Recognition — 52 citations into it; #20,985 of 21,575 by trust here, #7,938 by citations
- Model Architectures — 28 citations into it
- Optimization & Training — 17 citations into it
- Information Systems — 14 citations into it
- Natural Language Processing — 12 citations into it
- Information Retrieval & Search — 8 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Elad Eban trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Geoffrey E. Hinton
- Christian Szegedy
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Andrew Y. Ng
Who trusts Elad Eban overall
- Andrew Cotter
- Tianbao Yang
- Heinrich Jiang
- Yaoshiang Ho
- Ray Jiang
- Guanxiong Liu
- Yiming Ying
- S. Wookey
- Ting-Wu Chin
- Roy Schwartz
Papers from Elad Eban's perspective
Ordered by how strongly the researchers Elad Eban 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks (2017) — 362 citations
- Seq2Slate: Re-ranking and Slate Optimization with RNNs (2018) — 114 citations
- Scalable Learning of Non-Decomposable Objectives (2016) — 122 citations
- Improper Deep Kernels (2016) — 10 citations
- A cortical–hippocampal–cortical loop of information processing during memory consolidation (2016) — 352 citations