Neeratyoy Mallik

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Neeratyoy Mallik trusts overall

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

1. Aaron Klein
2. Frank Hutter
3. Esteban Real
4. Xuanyi Dong
5. Karen Simonyan
6. Hanxiao Liu
7. Stefan Falkner
8. Alex Krizhevsky
9. John Schulman
10. Geoffrey E. Hinton

Papers from Neeratyoy Mallik's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Supplementary material for DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization (2021)