B. Pung

Large Language Models · 2020

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

• Large Language Models — 10 citations into it

Whom B. Pung trusts overall

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

1. Alec Radford
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ilya Sutskever
6. Rico Sennrich

Who trusts B. Pung overall

1. Sachin Kumar

Papers from B. Pung's perspective

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

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

Their papers

• CoCon: A Self-Supervised Approach for Controlled Text Generation (2020) — 97 citations