Manjaiah Doddaghatta Huchaiah

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it

Whom Manjaiah Doddaghatta Huchaiah trusts overall

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

1. James Bergstra
2. Philipp Probst
3. Jasper Snoek
4. Pierre Geurts
5. Radwa El Shawi
6. Yoshua Bengio
7. Hugo Larochelle

Papers from Manjaiah Doddaghatta Huchaiah's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Practical Bayesian Optimization of Machine Learning Algorithms
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. Random Search for Hyper-Parameter Optimization
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Scikit-learn: Machine Learning in Python
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results (2021) — 397 citations