Versatile Black-Box Optimization

29 April 2020

Baptiste Roziere

Papers citing "Versatile Black-Box Optimization"

25 / 25 papers shown

Title
MedForge: Building Medical Foundation Models Like Open Source Software Development Zheling Tan Kexin Ding Jin Gao Mu Zhou Dimitris N. Metaxas Shaoting Zhang Dequan Wang AI4CE 122 2 0 22 Feb 2025
Evolutionary Retrofitting Mathurin Videau M. Zameshina Alessandro Leite Laurent Najman Marc Schoenauer O. Teytaud 98 0 0 15 Oct 2024
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning Chengsong Huang Langlin Huang Jiaxin Huang MoMe 135 2 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 73 0 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 105 6 0 17 Jun 2024
Model-Based Diffusion for Trajectory Optimization Chaoyi Pan Zeji Yi Guanya Shi Guannan Qu 97 13 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 295 403 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 82 29 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 118 163 0 19 Dec 2023
LM-Cocktail: Resilient Tuning of Language Models via Model Merging Shitao Xiao Zheng Liu Peitian Zhang Xingrun Xing MoMe KELM 156 28 0 22 Nov 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization Prateek Yadav Leshem Choshen Colin Raffel Mohit Bansal 89 14 0 22 Nov 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization Anke Tang Li Shen Yong Luo Yibing Zhan Han Hu Bo Du Yixin Chen Dacheng Tao MoMe 120 36 0 07 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 124 125 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 38 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 111 215 0 25 Jul 2023
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution Tomer Friedlander Ron Shmelkin Lior Wolf CVBM 101 1 0 25 Nov 2022
OPTION: OPTImization Algorithm Benchmarking ONtology Ana Kostovska Diederick Vermetten Carola Doerr Jannis Brugger P. Panov T. Eftimov 81 11 0 21 Nov 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies Alon Berliner Guy Rotman Yossi Adi Roi Reichart Tamir Hazan BDL DRL 69 4 0 03 May 2022
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization Johannes Kirschner Mojmír Mutný Andreas Krause J. C. D. Portugal N. Hiller J. Snuverink 16 12 0 26 Mar 2022
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning Chenxiao Yu A. Rosendo 73 16 0 24 Feb 2022
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 52 15 0 17 Sep 2021
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution Ron Shmelkin Tomer Friedlander Lior Wolf CVBM 87 13 0 01 Aug 2021
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics Hongya Wang Diederick Vermetten Furong Ye Carola Doerr Thomas Bäck 144 48 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 138 112 0 07 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 101 128 0 01 Jul 2020