Jayashree Mohan

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 Jayashree Mohan trusts overall

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

1. Tri Dao

Papers from Jayashree Mohan's perspective

Ordered by how strongly the researchers Jayashree Mohan 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. PyTorch: An Imperative Style, High-Performance Deep Learning Library
4. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
5. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
6. Scaling Laws for Neural Language Models (arXiv.org)
7. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
8. Clipper: A Low-Latency Online Prediction Serving System
9. GPT-4 Technical Report
10. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Neural Information Processing Systems)

Their papers

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