Viktor Rozgic

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Signal Processing — 13 citations into it
• Efficiency & Compression — 9 citations into it
• Model Architectures — 5 citations into it

Whom Viktor Rozgic trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Gao Huang
6. Oriol Vinyals
7. X. Zhang
8. Diederik P. Kingma
9. Yann LeCun
10. Ross B. Girshick

Papers from Viktor Rozgic's perspective

Ordered by how strongly the researchers Viktor Rozgic 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. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Semi-supervised Acoustic Event Detection Based on Tri-training (2019) — 19 citations
• Compression of Acoustic Event Detection Models With Quantized Distillation (2019) — 14 citations