Tadas Temvcinas

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 Tadas Temvcinas trusts overall

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

  1. Matthew E. Peters
  2. Andrew L. Maas
  3. Matthew Henderson
  4. Jacob Devlin
  5. Geoffrey E. Hinton
  6. Daniel Matthew Cer
  7. Yinfei Yang

Who trusts Tadas Temvcinas overall

  1. Congyin Xia

Papers from Tadas Temvcinas's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Language Models are Unsupervised Multitask Learners
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers