A. Kolcz

Artificial Intelligence · 2004–2016

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kolcz trusts overall

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

  1. Gordon V. Cormack
  2. S. Sathiya Keerthi
  3. Choon Hui Teo
  4. Ofer Dekel
  5. Mark Dredze
  6. Steffen Bickel
  7. Alex Smola
  8. Amir Globerson
  9. Rong-En Fan
  10. Jiayuan Huang

Who trusts A. Kolcz overall

  1. Battista Biggio
  2. Fabio Roli
  3. Giorgio Fumera
  4. Ambra Demontis
  5. Igino Corona
  6. Fei Zhang
  7. Zhizhou Yin
  8. Davide Maiorca
  9. Giorgio Giacinto
  10. Patrick P. K. Chan

Papers from A. Kolcz's perspective

Ordered by how strongly the researchers A. Kolcz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers