Milos Manic
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Electrical and Electronic Engineering — 14 citations into it; #4,609 of 16,539 by trust here, #8,802 by citations
- Model Architectures — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it; #10,177 of 21,575 by trust here, #12,419 by citations
- Optimization & Training — 7 citations into it
Whom Milos Manic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. Werbos
- Yann LeCun
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Elena Mocanu
- Daniel L. Marino
- Oriol Vinyals
- Ronald J. Williams
Who trusts Milos Manic overall
Papers from Milos Manic's perspective
Ordered by how strongly the researchers Milos Manic 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Building energy load forecasting using Deep Neural Networks (2016) — 570 citations
- Deep neural networks for energy load forecasting (2017) — 305 citations
- Intelligent Buildings of the Future: Cyberaware, Deep Learning Powered, and Human Interacting (2016) — 99 citations