Nikos Aréchiga

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #17,521 of 35,345 by trust here, #11,327 by citations
• Computer Vision and Pattern Recognition — 34 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Nikos Aréchiga trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Yann LeCun
4. Geoffrey E. Hinton
5. Kaiming He
6. Yoshua Bengio
7. Ross B. Girshick
8. Tsung-Yi Lin
9. Jimmy Ba

Who trusts Nikos Aréchiga overall

1. Bingyi Kang
2. Shiori Sagawa
3. Hankook Lee

Papers from Nikos Aréchiga's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Microsoft COCO: Common Objects in Context

Their papers

• Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss (2019) — 2,156 citations
• Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective (2020)