Victor Carbune

Artificial Intelligence · 2023–2025

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 Victor Carbune trusts

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

  1. Quoc V. Le (in Artificial Intelligence)
  2. Ronald J. Williams (in Reinforcement Learning)
  3. Jason Wei (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)

Papers from Victor Carbune's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Proximal Policy Optimization Algorithms (arXiv.org)
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  10. Scaling Laws for Neural Language Models (arXiv.org)

Their papers