Mihai Marian Puscas

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #11,027 of 35,345 by trust here, #8,706 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #7,714 of 21,575 by trust here, #6,206 by citations

Whom Mihai Marian Puscas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yann LeCun
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Alec Radford
7. Diederik P. Kingma
8. Kaiming He
9. Sylvestre-Alvise Rebuffi
10. Ilya Sutskever

Who trusts Mihai Marian Puscas overall

1. Gyuhak Kim
2. Ali Ayub
3. Tyler L. Hayes
4. Yiduo Guo
5. Enrico Fini
6. Alan R. Wagner
7. Massimo Caccia
8. Changnan Xiao
9. Qi Qin
10. Liyuan Wang

Papers from Mihai Marian Puscas's perspective

Ordered by how strongly the researchers Mihai Marian Puscas trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning (2019) — 356 citations
• Learning to remember: Dynamic Generative Memory for Continual Learning (2018)