Michael L. Iuzzolino

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 436 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 62 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Meta & Continual Learning — 18 citations into it
• Model Architectures — 14 citations into it
• Signal Processing — 14 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Media Technology — 10 citations into it

Whom Michael L. Iuzzolino trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Richard S. Sutton
5. Diederik P. Kingma
6. Yann LeCun
7. Sepp Hochreiter
8. Kaiming He
9. Ruslan Salakhutdinov
10. Ilya Sutskever

Who trusts Michael L. Iuzzolino overall

1. Tianhe Yu

Papers from Michael L. Iuzzolino's perspective

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

Their papers

• Wandering Within a World: Online Contextualized Few-Shot Learning (2020) — 33 citations
• Convolutional Bipartite Attractor Networks (2019) — 8 citations
• MMTM: Multimodal Transfer Module for CNN Fusion (2019) — 399 citations