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Learning Where To Look -- Generative NAS is Surprisingly Efficient
v1v2 (latest)

Learning Where To Look -- Generative NAS is Surprisingly Efficient

European Conference on Computer Vision (ECCV), 2022
16 March 2022
Jovita Lukasik
Steffen Jung
Margret Keuper
ArXiv (abs)PDFHTMLGithub (15★)

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

13 / 13 papers shown
Title
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
Yuxuan Hu
Jihao Liu
Ke Wang
Jinliang Zhen
Weikang Shi
Manyuan Zhang
Qi Dou
R. Liu
Aojun Zhou
Hongsheng Li
171
1
0
06 Sep 2025
OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
Bo Lyu
Yu Cui
Tuo Shi
Ke Li
92
0
0
06 Sep 2025
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
Rohan Asthana
Joschua Conrad
M. Ortmanns
Vasileios Belagiannis
84
0
0
18 Aug 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Bingye Zhou
Caiyang Yu
Chenwei Tang
DiffM
551
0
0
24 Apr 2025
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning
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
201
0
0
28 Mar 2025
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNNAI4CE
217
12
0
09 Mar 2024
An Evaluation of Zero-Cost Proxies -- from Neural Architecture
  Performance to Model Robustness
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
Jovita Lukasik
Michael Moeller
Margret Keuper
166
3
0
18 Jul 2023
Neural Architecture Design and Robustness: A Dataset
Neural Architecture Design and Robustness: A DatasetInternational Conference on Learning Representations (ICLR), 2023
Steffen Jung
Jovita Lukasik
Margret Keuper
OODAAML
147
21
0
11 Jun 2023
Happy People -- Image Synthesis as Black-Box Optimization Problem in the
  Discrete Latent Space of Deep Generative Models
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
Margret Keuper
167
1
0
11 Jun 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data SamplingInternational Conference on Machine Learning (ICML), 2023
Y. Yin
Yu Wang
Gang Xu
308
5
0
04 May 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise
  prediction tasks
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksInternational Conference on Machine Learning (ICML), 2023
Shashank Agnihotri
Steffen Jung
Margret Keuper
AAML
329
29
0
04 Feb 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Katharina Eggensperger
3DVAI4CE
377
187
0
20 Jan 2023
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search BenchmarkInternational Conference on Learning Representations (ICLR), 2021
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
264
123
0
19 Mar 2021
1