Geoff Ward

Artificial Intelligence · 2019

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 Geoff Ward trusts overall

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

  1. Lloyd S. Shapley
  2. Scott M. Lundberg
  3. Tianqi Chen
  4. Ronan Collobert
  5. Mukund Sundararajan
  6. Su-In Lee

Papers from Geoff Ward's perspective

Ordered by how strongly the researchers Geoff Ward 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 classification with deep convolutional neural networks
  3. Scikit-learn: Machine Learning in Python
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Axiomatic Attribution for Deep Networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. A Unified Approach to Interpreting Model Predictions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers