Robert Abbas

Inf. · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robert Abbas trusts overall

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

  1. Tianqi Chen

Papers from Robert Abbas's perspective

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

  1. XGBoost: A Scalable Tree Boosting System
  2. Ether: malware analysis via hardware virtualization extensions (Conference on Computer and Communications Security)
  3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  4. Large Scale Distributed Deep Networks
  5. Learning Multiple Layers of Features from Tiny Images
  6. Human-level control through deep reinforcement learning
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. A Stochastic Approximation Method
  10. TensorFlow: A system for large-scale machine learning

Their papers