Quality Diversity through Human Feedback: Towards Open-Ended
Diversity-Driven Optimization

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

18 October 2023

Jeff Clune

Papers citing "Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization"

10 / 10 papers shown

Title
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions Tianwei Xiong Yuqing Wang Daquan Zhou Zhijie Lin Jiashi Feng Xihui Liu VGen 17 7 0 14 Oct 2024
Quality-Diversity with Limited Resources Ren-Jian Wang Ke Xue Cong Guan Chao Qian 21 2 0 06 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 32 2 0 18 May 2024
Large Language Models as In-context AI Generators for Quality-Diversity Bryan Lim Manon Flageat Antoine Cully 27 4 0 24 Apr 2024
DALex: Lexicase-like Selection via Diverse Aggregation Andrew Ni Lijie Ding Lee Spector 33 5 0 23 Jan 2024
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 30 20 0 19 Dec 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014