Prediction-powered Neural Architecture Search
cs.LG
Submitted: 2026-10-01
Updated: 2026-10-01
Sources
- Zero-Cost Proxies for Lightweight NAS
- PPI++: Efficient Prediction-Powered Inference
- A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
- NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
- Surprisingly Strong Performance Prediction with Neural Graph Features
- SNIP: Single-shot Network Pruning based on Connection Sensitivity
- ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
- DARTS: Differentiable Architecture Search
- Picking Winning Tickets Before Training by Preserving Gradient Flow
- Neural Architecture Search: Insights from 1000 Papers
- Neural Architecture Search with Reinforcement Learning
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks