Tal Reiss

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 39 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 — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Tal Reiss trusts overall

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

1. Alex Krizhevsky
2. Dan Hendrycks
3. Geoffrey E. Hinton
4. Paul Bergmann
5. Antonio Torralba
6. Andrew Zisserman
7. Yoshua Bengio
8. Kaiming He
9. Diederik P. Kingma
10. Ian J. Goodfellow

Who trusts Tal Reiss overall

1. Jingkang Yang
2. Yajun Chen
3. Jiawei Yu1
4. Kaiyang Zhou

Papers from Tal Reiss's perspective

Ordered by how strongly the researchers Tal Reiss 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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (2020) — 333 citations