Karol J. Piczak

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 216 researchers and is trusted by 1,078 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it; #1,307 of 21,575 by trust here, #6,206 by citations
• Signal Processing — 14 citations into it; #77 of 7,572 by trust here, #748 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it
• Speech & Audio — 6 citations into it

Whom Karol J. Piczak trusts overall

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

1. Ossama Abdel-Hamid
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Li Deng
6. Yoshua Bengio
7. Dan Claudiu Ciresan
8. Ilya Sutskever
9. Abdel-rahman Mohamed
10. Dong Yu

Who trusts Karol J. Piczak overall

1. Eduardo Fonseca
2. Hyunsin Park
3. Hardik B. Sailor
4. Yuan Gong
5. Andrey Guzhov
6. Relja Arandjelovi'c
7. Justin Salamon
8. Sangho Lee
9. Longlong Jing
10. Amit Jindal

Papers from Karol J. Piczak's perspective

Ordered by how strongly the researchers Karol J. Piczak 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• ESC: Dataset for Environmental Sound Classification (2015) — 2,068 citations
• Continual Learning with Guarantees via Weight Interval Constraints (2022) — 13 citations
• Environmental sound classification with convolutional neural networks (2015) — 919 citations