Marc Masana

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 12 papers; trusts 1,195 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 397 citations into it; #7,041 of 35,345 by trust here, #2,101 by citations
• Computer Vision and Pattern Recognition — 346 citations into it; #5,407 of 21,575 by trust here, #1,602 by citations
• Meta & Continual Learning — 151 citations into it; #121 of 1,041 by trust here, #15 by citations
• Representation & Self-Supervised Learning — 123 citations into it
• Optimization & Training — 85 citations into it
• Model Architectures — 66 citations into it
• Reinforcement Learning — 45 citations into it
• Evaluation & Benchmarks — 42 citations into it

Whom Marc Masana trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kaiming He
5. Yoshua Bengio
6. Ross B. Girshick
7. Yann LeCun
8. Andrew Zisserman
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Marc Masana overall

1. Xialei Liu
2. Joost van de Weijer
3. Bartłomiej Twardowski
4. Rahaf Aljundi
5. Da-Wei Zhou
6. Matthias De Lange
7. Kai Wang
8. Zixuan Ke
9. Andrew D. Bagdanov
10. Lu Yu

Papers from Marc Masana's perspective

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

Their papers

• A Continual Learning Survey: Defying Forgetting in Classification Tasks (2019) — 2,435 citations
• Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting (2018) — 327 citations
• Class-Incremental Learning: Survey and Performance Evaluation on Image Classification (2020) — 891 citations
• Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
• Domain-Adaptive Deep Network Compression (2017) — 64 citations
• Metric Learning for Novelty and Anomaly Detection (2018) — 85 citations
• LIUM-CVC Submissions for WMT17 Multimodal Translation Task (2017) — 71 citations
• Does Multimodality Help Human and Machine for Translation and Image Captioning? (2016) — 87 citations
• Ternary Feature Masks: zero-forgetting for task-incremental learning (2021) — 35 citations
• On Class Orderings for Incremental Learning (2020) — 17 citations
• Ternary Feature Masks: continual learning without any forgetting (2020) — 30 citations
• Continual learning: A comparative study on how to defy forgetting in classification tasks (2019) — 260 citations