Nitin Kedia

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 Nitin Kedia trusts overall

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

1. Tri Dao
2. Markus Norman Rabe
3. Gyeong-In Yu

Papers from Nitin Kedia's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Language Models are Few-Shot Learners (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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. PyTorch: An Imperative Style, High-Performance Deep Learning Library
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Their papers

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