Sixth Workshop on Neural Architecture Search


CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
Zhe Li,
Zhiwei Lin,
Yongtao Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2026_CVPR, author = {Li, Zhe and Lin, Zhiwei and Wang, Yongtao}, title = {CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3273-3282} }

LEMUR 2: Unlocking Neural Network Diversity for AI
Tolgay Atinc Uzun,
Waleed Khalid,
Saif U Din,
Sai Revanth Mulukuledu,
Akashdeep Singh,
Chandini Vysyaraju,
Raghuvir Duvvuri,
Avi Goyal,
Yashkumar R. Lukhi,
Muhammad A Hussain,
Krunal Jesani,
Usha Shrestha,
Yash Mittal,
Roman Kochnev,
Pritam Kadam,
Mohsin Ikram,
Harsh Moradiya,
Alice Arslanian,
Dmitry Ignatov,
Radu Timofte
[pdf] [supp]
[bibtex]
@InProceedings{Uzun_2026_CVPR, author = {Uzun, Tolgay Atinc and Khalid, Waleed and Din, Saif U and Mulukuledu, Sai Revanth and Singh, Akashdeep and Vysyaraju, Chandini and Duvvuri, Raghuvir and Goyal, Avi and Lukhi, Yashkumar R. and A Hussain, Muhammad and Jesani, Krunal and Shrestha, Usha and Mittal, Yash and Kochnev, Roman and Kadam, Pritam and Ikram, Mohsin and Moradiya, Harsh and Arslanian, Alice and Ignatov, Dmitry and Timofte, Radu}, title = {LEMUR 2: Unlocking Neural Network Diversity for AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3291-3300} }

NNGPT: Rethinking AutoML with Large Language Models
Roman Kochnev,
Waleed Khalid,
Tolgay Atinc Uzun,
Xi Zhang,
Yashkumar Sanjaybhai Dhameliya,
Furui Qin,
Chandini Vysyaraju,
Raghuvir Duvvuri,
Avi Goyal,
Dmitry Ignatov,
Radu Timofte
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kochnev_2026_CVPR, author = {Kochnev, Roman and Khalid, Waleed and Uzun, Tolgay Atinc and Zhang, Xi and Dhameliya, Yashkumar Sanjaybhai and Qin, Furui and Vysyaraju, Chandini and Duvvuri, Raghuvir and Goyal, Avi and Ignatov, Dmitry and Timofte, Radu}, title = {NNGPT: Rethinking AutoML with Large Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3262-3272} }

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
Waleed Khalid,
Dmitry Ignatov,
Radu Timofte
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khalid_2026_CVPR, author = {Khalid, Waleed and Ignatov, Dmitry and Timofte, Radu}, title = {From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3252-3261} }

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
Raghuvir Duvvuri,
Chandini Vysyaraju,
Avi Goyal,
Dmitry Ignatov,
Radu Timofte
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duvvuri_2026_CVPR, author = {Duvvuri, Raghuvir and Vysyaraju, Chandini and Goyal, Avi and Ignatov, Dmitry and Timofte, Radu}, title = {Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3242-3251} }

YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search
Zhe Li,
Xiaoyu Ding,
Jiaxin Zheng,
Yongtao Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2026_CVPR, author = {Li, Zhe and Ding, Xiaoyu and Zheng, Jiaxin and Wang, Yongtao}, title = {YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {3283-3290} }