Punit Singh Koura

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 8 papers; trusts 50 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 424 citations into it
• Natural Language Processing — 226 citations into it
• Computer Vision and Pattern Recognition — 138 citations into it

Whom Punit Singh Koura trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton

Who trusts Punit Singh Koura overall

1. Luke S. Zettlemoyer

Papers from Punit Singh Koura's perspective

Ordered by how strongly the researchers Punit Singh Koura 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Gradient-based learning applied to document recognition
9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
• Efficient Large Scale Language Modeling with Mixtures of Experts (2021) — 248 citations
• OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization (2022) — 307 citations
• Few-shot Learning with Multilingual Generative Language Models (2021) — 384 citations
• A Theory on Adam Instability in Large-Scale Machine Learning (2023) — 56 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations
• OPT: Open Pre-trained Transformer Language Models (2022) — 4,844 citations
• Few-shot Learning with Multilingual Language Models (2021) — 281 citations