Neural Predictor for Neural Architecture Search
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
Rethinking Architecture Selection in Differentiable NAS
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Locally Free Weight Sharing for Network Width Search
GEOMETRY-AWARE GRADIENT ALGORITHMS FOR NEURAL ARCHITECTURE SEARCH
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
DrNAS: Dirichlet Neural Architecture Search
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Zero-Cost Proxies for Lightweight NAS [CODE]
AutoAttend: Automated Attention Representation Search
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
Few-shot Neural Architecture Search
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
KNAS: Green Neural Architecture Search
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Neural Architecture Search without Training [CODE]
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
GLiT: Neural Architecture Search for Global and Local Image Transformer [CODE]
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification [CODE]
iNAS: Integral NAS for Device-Aware Salient Object Detection [CODE]
Neural Architecture Search for Joint Human Parsing and Pose Estimation
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift [CODE]
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search [CODE]
BN-NAS: Neural Architecture Search with Batch Normalization [CODE]
AutoSpace: Neural Architecture Search with Less Human Interference [CODE]
Evolving Search Space for Neural Architecture Search [CODE]
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition [CODE]
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
NAS-Bench-x11 and the Power of Learning Curves
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Stronger NAS with Weaker Predictors
Speedy Performance Estimation for Neural Architecture Search
Evaluating Efficient Performance Estimators of Neural Architectures
Generic Neural Architecture Search via Regression
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
How Powerful are Performance Predictors in Neural Architecture Search?
Graph Differentiable Architecture Search with Structure Learning
Parameter Prediction for Unseen Deep Architectures
Searching for Efficient Transformers for Language Modeling
Searching the Search Space of Vision Transformer
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Training-Free Transformer Architecture Search
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
GreedyNASv2: Greedier Search With a Greedy Path Filter
Neural Architecture Search With Representation Mutual Information
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search
Searching the Deployable Convolution Neural Networks for GPUs
HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space