Aviral Kumar

Artificial Intelligence · with Agarwal · 2024

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

Subfields

• Artificial Intelligence — 50 citations into it

Whom Aviral Kumar trusts overall

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

1. Diederik P. Kingma
2. Jie Huang

Who trusts Aviral Kumar overall

1. Bowen Jin

Papers from Aviral Kumar's perspective

Ordered by how strongly the researchers Aviral Kumar 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. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
7. Training Verifiers to Solve Math Word Problems
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Decoupled Weight Decay Regularization

Their papers

• Generative Verifiers: Reward Modeling as Next-Token Prediction (2024) — 490 citations
• Training Language Models to Self-Correct via Reinforcement Learning (2024) — 429 citations