Giacomo Spigler

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #17,288 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #10,946 of 21,575 by trust here, #20,271 by citations
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Giacomo Spigler trusts overall

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

1. Geoffrey E. Hinton
2. Chelsea Finn
3. Sachin Ravi
4. Yoshua Bengio
5. Khurram Javed
6. Ruslan Salakhutdinov
7. Kaiming He
8. Alex Nichol
9. Hugo Larochelle
10. Alex Krizhevsky

Who trusts Giacomo Spigler overall

1. Dong-Ki Kim
2. Matthew Riemer
3. Miao Liu
4. Khimya Khetarpal
5. Jean-Baptiste Gaya

Papers from Giacomo Spigler's perspective

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

Their papers

• Meta-learnt priors slow down catastrophic forgetting in neural networks (2019) — 11 citations