Yiduo Guo

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 5 papers; trusts 391 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 183 citations into it
• Computer Vision and Pattern Recognition — 120 citations into it
• Meta & Continual Learning — 108 citations into it; #440 of 1,041 by trust here, #737 by citations
• Representation & Self-Supervised Learning — 38 citations into it
• Radiology, Nuclear Medicine and Imaging — 23 citations into it
• Optimization & Training — 18 citations into it
• Reinforcement Learning — 12 citations into it
• Model Architectures — 8 citations into it

Whom Yiduo Guo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Arslan Chaudhry
4. Yoshua Bengio
5. Marc'Aurelio Ranzato
6. Kaiming He
7. Yann LeCun
8. Rahaf Aljundi
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Yiduo Guo overall

1. Gyuhak Kim
2. Hongwei Yan
3. Da-Wei Zhou
4. Zixuan Ke
5. Liyuan Wang
6. Maorong Wang
7. Liyuan Wang
8. Liangzu Peng
9. Qiwen Wang
10. Yujie Wei

Papers from Yiduo Guo's perspective

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

Their papers

• AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models (2023) — 867 citations
• When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
• Dealing with Cross-Task Class Discrimination in Online Continual Learning (2023) — 35 citations
• Online Continual Learning through Mutual Information Maximization (2022) — 147 citations
• Adaptive Orthogonal Projection for Batch and Online Continual Learning (2022) — 57 citations