Shantanu Acharya
Artificial Intelligence · 2024
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Model Architectures — 18 citations into it
- Natural Language Processing — 5 citations into it
Whom Shantanu Acharya trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Vincent Ng (in Natural Language Processing)
- John J. Hopfield (in Model Architectures)
- Yoshua Bengio (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
Papers from Shantanu Acharya's perspective
Ordered by how strongly the researchers Shantanu Acharya trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Generating Long Sequences with Sparse Transformers
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- RULER: What's the Real Context Size of Your Long-Context Language Models? (2024) — 1,085 citations