Geoff Bacon

Artificial Intelligence · 2020

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

Subfields

Whom Geoff Bacon trusts overall

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

  1. Sebastian Ruder
  2. Mark R. Wilson

Papers from Geoff Bacon's perspective

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

  1. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. An Overview of Multi-Task Learning in Deep Neural Networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers