Methods having to do with efficiency in neural networks.

• General
  • Sze et al 2017 - Efficient Processing of Deep Neural Networks: A Tutorial and Survey
• For LLMs
  • Wan et al 2023 - Efficient Large Language Models: A Survey
  • Zhou et al 2024 - A Survey on Efficient Inference for Large Language Models
  • Reasoning LLMs
    • Wang et al 2025 - Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models

• Pope 2022 - Efficiently Scaling Transformer Inference Introduced the idea of the KV cache.
• Gim et al 2023 - Prompt Cache: Modular Attention Reuse for Low-Latency Inference
• Zhang et al 2023 - H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Removes tokens from the kv-cache, and keeps the most important ones (the heavy-hitters, H2s)

• Edge Computing
• GPU Deep Learning
• Model Compression
• Systems & ML