Co-occurring keywords · papers mentioning both
Papers
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
NeurIPS 2020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
ICML 2020
Auto Learning Attention
NeurIPS 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
ICML 2020
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
NeurIPS 2020
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
AAAI 2020
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
Interspeech 2020
AutoSpeech: Neural Architecture Search for Speaker Recognition
Interspeech 2020
Best Practices for Scientific Research on Neural Architecture Search
JMLR 2020
Beyond Network Pruning: a Joint Search-and-Training Approach
IJCAI 2020
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
CVPR 2020
Binarized Neural Architecture Search
AAAI 2020
Binarizing MobileNet via Evolution-Based Searching
CVPR 2020
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation
CVPR 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
ICML 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
NeurIPS 2020
BRP-NAS: Prediction-based NAS using GCNs
NeurIPS 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
CVPR 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
CVPR 2020
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS
CVPR 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search
CVPR 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
NeurIPS 2020
Computation Reallocation for Object Detection
ICLR 2020
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
IJCAI 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
NeurIPS 2020