Liron Bergman

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 143 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #8,455 of 35,345 by trust here, #17,776 by citations
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Computer Networks and Communications — 8 citations into it; #2,130 of 9,886 by trust here, #4,757 by citations
• Signal Processing — 7 citations into it

Whom Liron Bergman trusts overall

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

1. Emanuel Parzen
2. Alex Krizhevsky
3. Dan Hendrycks
4. Izhak Golan
5. Geoffrey E. Hinton
6. Bernhard Schölkopf
7. Abhijit Bendale
8. Mayu Sakurada
9. John Hartigan
10. Spyros Gidaris

Who trusts Liron Bergman overall

1. Niv Cohen
2. Jihun Yi
3. Jingkang Yang
4. Chun-Liang Li
5. Jiawei Yu1
6. Jihoon Tack
7. Mohammadreza Salehi
8. Lukas Ruff
9. Yedid Hoshen
10. Sungroh Yoon

Papers from Liron Bergman's perspective

Ordered by how strongly the researchers Liron Bergman 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. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Classification-Based Anomaly Detection for General Data (2020) — 425 citations
• PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (2020) — 333 citations