Research map / Architectures and efficiency / RNNs and normalization
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- AutoAssist: A Framework to Accelerate Training of Deep Neural Networks (NeurIPS 2019 · similarity 0.87)
- Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch (CVPR 2024 · similarity 0.86)
- ASGO: Adaptive Structured Gradient Optimization (NeurIPS 2025 · similarity 0.86)
- Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater (CVPR 2025 · similarity 0.84)
- AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks (AAAI 2025 · similarity 0.84)
- Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components (ICML 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
