Amey Agrawal

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 5 citations into it

Whom Amey Agrawal trusts overall

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

1. Tri Dao
2. Markus Norman Rabe
3. Gyeong-In Yu
4. Noam Shazeer
5. Jiarui Fang
6. Pin Gao
7. Mohammad Shoeybi
8. Daniel Crankshaw
9. Yanping Huang
10. Arpan Gujarati

Papers from Amey Agrawal's perspective

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

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

Their papers

• Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve (2024) — 640 citations