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2004.14014
Cited By
Versatile Black-Box Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
29 April 2020
Jialin Liu
A. Moreau
Mike Preuss
Baptiste Roziere
Jérémy Rapin
F. Teytaud
O. Teytaud
Re-assign community
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Papers citing
"Versatile Black-Box Optimization"
27 / 27 papers shown
Exploiting Function-Family Structure in Analog Circuit Optimization
Zhuohua Liu
Kaiqi Huang
Qinxin Mei
Yuanqi Hu
Wei W. Xing
79
0
0
30 Nov 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Ziang Li
Hongguang Zhang
Juan Wang
Meihui Chen
Hongxin Hu
Wenzhe Yi
Xiaoyang Xu
Mengda Yang
Chenjun Ma
461
6
0
20 Mar 2025
MedForge: Building Medical Foundation Models Like Open Source Software Development
Zheling Tan
Kexin Ding
Jin Gao
Mu Zhou
Dimitris N. Metaxas
Shaoting Zhang
Yi Xu
AI4CE
431
2
0
22 Feb 2025
Evolutionary Retrofitting
ACM Transactions on Evolutionary Learning and Optimization (ACM TELO), 2024
Mathurin Videau
M. Zameshina
Alessandro Leite
Laurent Najman
Marc Schoenauer
O. Teytaud
411
3
0
15 Oct 2024
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
Chengsong Huang
Langlin Huang
Jiaxin Huang
MoMe
489
10
0
14 Oct 2024
Log-normal Mutations and their Use in Detecting Surreptitious Fake Images
Ismail Labiad
Thomas Bäck
Pierre Fernandez
Laurent Najman
Tom Sander
Furong Ye
M. Zameshina
Olivier Teytaud
AAML
318
1
0
23 Sep 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
Chenghao Fan
Zhenyi Lu
Wei Wei
Jie Tian
Xiaoye Qu
Dangyang Chen
Yu Cheng
MoMe
377
10
0
17 Jun 2024
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan
Zeji Yi
Guanya Shi
Guannan Qu
290
46
0
28 May 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
938
847
0
21 Mar 2024
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Tongxu Luo
Jiahe Lei
Fangyu Lei
Weihao Liu
Shizhu He
Jun Zhao
Kang Liu
MoE
ALM
225
49
0
20 Feb 2024
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
385
314
0
19 Dec 2023
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Shitao Xiao
Zheng Liu
Peitian Zhang
Xingrun Xing
MoMe
KELM
386
47
0
22 Nov 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Prateek Yadav
Leshem Choshen
Colin Raffel
Mohit Bansal
285
19
0
22 Nov 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization
International Conference on Learning Representations (ICLR), 2023
Anke Tang
Li Shen
Yong Luo
Yibing Zhan
Han Hu
Bo Du
Yixin Chen
Dacheng Tao
MoMe
438
61
0
07 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
International Conference on Learning Representations (ICLR), 2023
Enneng Yang
Zhenyi Wang
Li Shen
Shiwei Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
MoMe
374
219
0
04 Oct 2023
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
Hannes Fassold
MoMe
UQCV
180
2
0
28 Aug 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang
Qian Liu
Bill Yuchen Lin
Tianyu Pang
Chao Du
Min Lin
MoMe
573
325
0
25 Jul 2023
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
IEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2022
Tomer Friedlander
Ron Shmelkin
Lior Wolf
CVBM
263
1
0
25 Nov 2022
OPTION: OPTImization Algorithm Benchmarking ONtology
IEEE Transactions on Evolutionary Computation (TEVC), 2021
Ana Kostovska
Diederick Vermetten
Carola Doerr
Jannis Brugger
P. Panov
T. Eftimov
195
15
0
21 Nov 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
International Conference on Learning Representations (ICLR), 2022
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDL
DRL
222
5
0
03 May 2022
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization
Physical Review Accelerators and Beams (PRAB), 2022
Johannes Kirschner
Mojmír Mutný
Andreas Krause
J. C. D. Portugal
N. Hiller
J. Snuverink
314
15
0
26 Mar 2022
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2022
Chenxiao Yu
A. Rosendo
287
20
0
24 Feb 2022
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Ryoji Tanabe
382
19
0
17 Sep 2021
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
Ron Shmelkin
Tomer Friedlander
Lior Wolf
CVBM
245
13
0
01 Aug 2021
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2020
Hongya Wang
Diederick Vermetten
Furong Ye
Carola Doerr
Thomas Bäck
537
63
0
08 Jul 2020
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein
Carola Doerr
Daan van den Berg
Jakob Bossek
Sowmya Chandrasekaran
...
B. Naujoks
Patryk Orzechowski
Vanessa Volz
Markus Wagner
T. Weise
442
140
0
07 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang
Rodrigo Fonseca
Yuandong Tian
388
154
0
01 Jul 2020
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