Jary Pomponi

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #25,150 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #15,499 of 21,575 by trust here, #12,172 by citations
• Meta & Continual Learning — 23 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Reinforcement Learning — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Jary Pomponi trusts overall

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

1. Ferenc Huszár
2. Jaka Demsar
3. L. Eon Bottou
4. Geoffrey E. Hinton
5. Friedemann Zenke
6. David Lopez-Paz
7. Marc'Aurelio Ranzato
8. Zhizhong Li
9. Yann LeCun
10. Yoshua Bengio

Who trusts Jary Pomponi overall

1. Jiangpeng He
2. Feng Zhu
3. Ghada Sokar
4. Li Yang
5. Gabriele Merlin
6. Yogesh Kumar Balaji
7. Vincenzo Lomonaco
8. Decebal Constantin Mocanu
9. Mehrdad Farajtabar
10. Sen Lin

Papers from Jary Pomponi's perspective

Ordered by how strongly the researchers Jary Pomponi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
• Efficient Continual Learning in Neural Networks with Embedding Regularization (2019) — 47 citations