Aditya Kalro

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya Kalro trusts overall

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

  1. Josua Krause
  2. Yoon Kim
  3. Adam W. Harley
  4. Geoffrey E. Hinton
  5. L. V. D. van der Maaten
  6. Xin Li
  7. Fan-Yin Tzeng

Papers from Aditya Kalro's perspective

Ordered by how strongly the researchers Aditya Kalro 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. Gradient-based learning applied to document recognition
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Visualizing Data using t-SNE
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers