Martin Riddell

2023–2024

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

Whom Martin Riddell trusts overall

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

1. Stella Biderman
2. Jacob Austin
3. Jared Kaplan
4. Erik Nijkamp
5. Leo Gao
6. Geoffrey E. Hinton
7. Diederik P. Kingma
8. Yoshua Bengio
9. Alex Krizhevsky
10. Raymond Li

Who trusts Martin Riddell overall

1. Naman Jain

Papers from Martin Riddell's perspective

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

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

Their papers

• Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models (2024) — 73 citations
• L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models (2023) — 44 citations