Ben Feuer

Artificial Intelligence · 2023–2024

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

Subfields

Whom Ben Feuer trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)
  2. J. Ross Quinlan (in Artificial Intelligence)

Papers from Ben Feuer's perspective

Ordered by how strongly the researchers Ben Feuer 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. Attention is All you Need (Neural Information Processing Systems)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Human-level control through deep reinforcement learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers