Vage Egiazarian

Efficiency & Compression · 2023

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

Subfields

Whom Vage Egiazarian trusts overall

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

  1. Elias Frantar

Papers from Vage Egiazarian's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
  3. Finetuned Language Models Are Zero-Shot Learners
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. RoFormer: Enhanced Transformer with Rotary Position Embedding
  8. ImageNet classification with deep convolutional neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers