Akul Arora
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
Whom Akul Arora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Akul Arora overall
Papers from Akul Arora's perspective
Ordered by how strongly the researchers Akul Arora trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Measuring Mathematical Problem Solving With the MATH Dataset (2021) — 5,902 citations
- Measuring Coding Challenge Competence With APPS (2021) — 1,191 citations