Angelina Abitino

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #7,958 of 35,345 by trust here, #6,193 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #5,811 of 21,575 by trust here, #4,555 by citations
• Meta & Continual Learning — 5 citations into it

Whom Angelina Abitino trusts overall

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

1. Anthony V. Robins
2. John K. Kruschke
3. Pentti Kanerva
4. Kaiming He
5. Geoffrey E. Hinton
6. R. M. French
7. Lei Yu
8. X. Zhang
9. Wenyuan Dai
10. Alex Krizhevsky

Who trusts Angelina Abitino overall

1. Tyler L. Hayes
2. Christopher Kanan
3. Gido M. van de Ven
4. Martin Mundt
5. Reinhard Heckel
6. Davide Maltoni
7. Vincenzo Lomonaco
8. Jathushan Rajasegaran
9. Benedikt Pfülb
10. James Smith

Papers from Angelina Abitino's perspective

Ordered by how strongly the researchers Angelina Abitino trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Measuring Catastrophic Forgetting in Neural Networks (2017) — 889 citations