Aneta Vulgarakis Feljan

Artificial Intelligence · 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 Aneta Vulgarakis Feljan trusts

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

  1. Sebastian U. Stich (in Artificial Intelligence)
  2. Martin Jaggi (in Artificial Intelligence)
  3. Deniz Gündüz (in Artificial Intelligence)

Papers from Aneta Vulgarakis Feljan's perspective

Ordered by how strongly the researchers Aneta Vulgarakis Feljan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers