CATCH: Context-based Meta Reinforcement Learning for Transferrable
Architecture Search

CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search

18 July 2020

Hang Xu

Xiaodan Liang

Tong Zhang

Papers citing "CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search"

10 / 10 papers shown

Title
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 24 17 0 07 Mar 2023
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search Minbin Huang Zhijian Huang Changlin Li Xin Chen Hangyang Xu Zhenguo Li Xiaodan Liang 30 18 0 12 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 11 2 0 22 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 28 5 0 10 Mar 2022
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,326 0 05 Nov 2016