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NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI Conference on Artificial Intelligence (AAAI), 2022
23 November 2022
Xin He
Jiangchao Yao
Yuxin Wang
Zhenheng Tang
Ka Chu Cheung
Simon See
Bo Han
Xiaowen Chu
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Papers citing
"NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension"
6 / 6 papers shown
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
Vladislav Pedashenko
Laida Kushnareva
Yana Khassan Nibal
Eduard Tulchinskii
Kristian Kuznetsov
Vladislav Zharchinskii
Yury Maximov
Irina Piontkovskaya
248
0
0
19 Nov 2025
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Wenhao Song
Xuan Wu
Bo Yang
You Zhou
Yubin Xiao
Yanchun Liang
H. Ge
Heow Pueh Lee
Chunguo Wu
382
3
0
02 Jun 2025
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Peijie Dong
Lujun Li
Zhenheng Tang
Xiang Liu
Xinglin Pan
Qiang-qiang Wang
Xiaowen Chu
410
61
0
05 Jun 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao
Yunzhuo Liu
Bo Jiang
Tian Guo
421
7
0
03 Jun 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
Yiyang Zhao
Linnan Wang
Tian Guo
433
1
0
01 Jun 2024
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
Yaofo Chen
Yong Guo
Daihai Liao
Fanbing Lv
Hengjie Song
James Tin-Yau Kwok
Zhuliang Yu
437
6
0
31 Oct 2022
1
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