Hamza Alobeidli

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamza Alobeidli trusts

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

  1. Moses Charikar (in Artificial Intelligence)
  2. Andrei Z. Broder (in Information Retrieval & Search)
  3. Adrien Barbaresi (in Artificial Intelligence)

Papers from Hamza Alobeidli's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Improving Language Understanding by Generative Pre-Training
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. ImageNet classification with deep convolutional neural networks

Their papers