Ahmed S. Hefny
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 5 papers; trusts 57 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it; #10,840 of 35,345 by trust here, #7,346 by citations
- Optimization & Training — 45 citations into it; #1,093 of 2,601 by trust here, #712 by citations
- Computational Mechanics — 41 citations into it; #2,568 of 10,001 by trust here, #1,017 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Statistics and Probability — 14 citations into it; #6,377 of 12,932 by trust here, #1,962 by citations
- Model Architectures — 13 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Numerical Analysis — 10 citations into it
Whom Ahmed S. Hefny trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Tong Zhang
- Yoshua Bengio
- Bernhard Schölkopf
- Geoffrey E. Hinton
- Shai Shalev-Shwartz
- Alex Smola
- Peter Richtárik
- Dimitri P. Bertsekas
- Radford M. Neal
Who trusts Ahmed S. Hefny overall
- Sashank J. Reddi
- Suvrit Sra
- Jakub Konecný
- Barnab'as P'oczos
- Zeyuan Allen-Zhu
- Lam M. Nguyen
- Manzil Zaheer
- Samuel Horváth
- Fabian Pedregosa
- Alex Smola
Papers from Ahmed S. Hefny's perspective
Ordered by how strongly the researchers Ahmed S. Hefny trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Stochastic Variance Reduction for Nonconvex Optimization (2016) — 654 citations
- MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction (2021) — 440 citations
- Predictive State Recurrent Neural Networks (2017) — 58 citations
- On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants (2015) — 200 citations
- Rows vs. Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression (2015) — 64 citations