Learning Where To Look -- Generative NAS is Surprisingly Efficient

16 March 2022

Papers citing "Learning Where To Look -- Generative NAS is Surprisingly Efficient"

11 / 11 papers shown

Title
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning Deshani Geethika Poddenige Sachith Seneviratne Damith A. Senanayake Mahesan Niranjan PN Suganthan Saman K. Halgamuge 46 0 0 28 Mar 2025
Multi-conditioned Graph Diffusion for Neural Architecture Search Rohan Asthana Joschua Conrad Youssef Dawoud M. Ortmanns Vasileios Belagiannis GNN AI4CE 36 5 0 09 Mar 2024
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 27 1 0 18 Jul 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik M. Keuper OOD AAML 43 19 0 11 Jun 2023
Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models Steffen Jung Jan Christian Schwedhelm C. Schillings M. Keuper 28 1 0 11 Jun 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 24 4 0 04 May 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 34 21 0 04 Feb 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 34 130 0 20 Jan 2023
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 366 0 20 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016