Difan Deng

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 108 citations into it; #34,361 of 35,345 by trust here, #33,294 by citations
• Computational Theory and Mathematics — 46 citations into it; #11,860 of 12,182 by trust here, #10,901 by citations
• Optimization & Training — 39 citations into it
• Neural Architecture Search & AutoML — 26 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Computer Networks and Communications — 10 citations into it
• Information Systems — 7 citations into it

Whom Difan Deng trusts overall

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

1. Frank Hutter
2. James Bergstra
3. Jasper Snoek

Who trusts Difan Deng overall

1. Shuhei Watanabe

Papers from Difan Deng's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Practical Bayesian Optimization of Machine Learning Algorithms
4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Random Search for Hyper-Parameter Optimization
9. Algorithms for Hyper-Parameter Optimization
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization (2021) — 526 citations
• Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges (2021) — 1,013 citations