Liat Antwarg

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Signal Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistics and Probability — 5 citations into it

Whom Liat Antwarg trusts overall

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

1. Ian T. Jolliffe
2. Scott M. Lundberg
3. Jerome H. Friedman
4. Geoffrey E. Hinton
5. L. V. D. van der Maaten
6. Dimitris J. Bertsimas
7. David Alvarez-Melis
8. Marco Tulio Ribeiro
9. Avanti Shrikumar
10. Su-In Lee

Papers from Liat Antwarg's perspective

Ordered by how strongly the researchers Liat Antwarg 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. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Explaining anomalies detected by autoencoders using Shapley Additive Explanations (2021) — 451 citations