Ben Coppin

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Coppin trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Joon Son Chung (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)

Papers from Ben Coppin's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Language Models are Unsupervised Multitask Learners
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  10. MuJoCo: A physics engine for model-based control

Their papers