Harsh Shrivastava
Artificial Intelligence · with Du · 2023
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Large Language Models — 13 citations into it
- Natural Language Processing — 10 citations into it
- Prompting & Reasoning — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Harsh Shrivastava trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Harsh Shrivastava's perspective
Ordered by how strongly the researchers Harsh Shrivastava trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MathPrompter: Mathematical Reasoning using Large Language Models (2023) — 301 citations