D. Malerba

Molecular Biology · 2011–2024

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Malerba trusts overall

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

  1. Curtis G. Northcutt
  2. Maayan Frid-Adar
  3. Nithya Sambasivan
  4. Lu Jiang
  5. Eyal Klang
  6. Shivani Kapania
  7. Isaac L. Chuang
  8. Zheng Zhao
  9. Stanley Letovsky

Papers from D. Malerba's perspective

Ordered by how strongly the researchers D. Malerba 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers