Lukasz Lew

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lukasz Lew trusts

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

  1. Quoc V. Le (in Artificial Intelligence)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Lukasz Lew's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  5. Automatic differentiation in PyTorch
  6. Neural Architecture Search with Reinforcement Learning
  7. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  8. ImageNet classification with deep convolutional neural networks
  9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  10. Regularized Evolution for Image Classifier Architecture Search

Their papers