V. Larsen

Economics and Econometrics · 2019

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 V. Larsen trusts overall

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

  1. David M. Blei
  2. Nicholas Bloom
  3. Paul C. Tetlock
  4. Robert B. Barsky
  5. Guido Lorenzoni

Papers from V. Larsen's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. GENERATIVE ADVERSARIAL NETS
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers