Alec Koppel
Computer Networks and Communications · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 33 citations into it; #3,243 of 9,886 by trust here, #6,217 by citations
- Optimization & Training — 24 citations into it
- Artificial Intelligence — 23 citations into it
- Computational Mechanics — 22 citations into it
- Electrical and Electronic Engineering — 11 citations into it; #10,394 of 16,539 by trust here, #15,217 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Mathematical Optimization — 7 citations into it
- ML Systems & Hardware — 7 citations into it
Whom Alec Koppel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Angelia Nedić
- John N. Tsitsiklis
- Asuman E. Ozdaglar
- Francis R. Bach
- Dimitri P. Bertsekas
- David F. Shanno
- Yoshua Bengio
- Sundhar Srinivasan Ram
- Pascal Vincent
- Bernhard Schölkopf
Who trusts Alec Koppel overall
Papers from Alec Koppel's perspective
Ordered by how strongly the researchers Alec Koppel 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks (2019) — 31 citations
- Decentralized Online Learning With Kernels (2017) — 55 citations
- Proximity Without Consensus in Online Multiagent Optimization (2016) — 90 citations