Aaditya K Singh

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Aaditya K Singh trusts overall

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

1. Kaiming He
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. David E. Rumelhart

Papers from Aaditya K Singh's perspective

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

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

Their papers

• Data Distributional Properties Drive Emergent In-Context Learning in Transformers (2022) — 389 citations
• Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers