Ashish Panwar

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 Ashish Panwar trusts overall

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

1. Tri Dao

Papers from Ashish Panwar's perspective

Ordered by how strongly the researchers Ashish Panwar 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
6. Scaling Laws for Neural Language Models (arXiv.org)
7. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
8. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
9. ImageNet classification with deep convolutional neural networks
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

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