Zobrazeno 1 - 10
of 318
pro vyhledávání: '"LIN ZhiYu"'
Pre-trained vision-language models (VLMs), such as CLIP, have exhibited remarkable performance across various downstream tasks by aligning text and images in a unified embedding space. However, due to the imbalanced distribution of pre-trained datase
Externí odkaz:
http://arxiv.org/abs/2410.09365
Generative Artificial Intelligence (AI) encounters limitations in efficiency and fairness within the realm of Procedural Content Generation (PCG) when human creators solely drive and bear responsibility for the generative process. Alternative setups,
Externí odkaz:
http://arxiv.org/abs/2409.16291
Unlike reinforcement learning (RL) agents, humans remain capable multitaskers in changing environments. In spite of only experiencing the world through their own observations and interactions, people know how to balance focusing on tasks with learnin
Externí odkaz:
http://arxiv.org/abs/2407.00264
The evolution of Artificial Intelligence Generated Contents (AIGCs) is advancing towards higher quality. The growing interactions with AIGCs present a new challenge to the data-driven AI community: While AI-generated contents have played a crucial ro
Externí odkaz:
http://arxiv.org/abs/2403.08542
Publikováno v:
Jixie qiangdu, Vol 39, Pp 353-359 (2017)
A 3D model of composite laminates with bolted joint is created by using the software ABAQUS. By introducing the 3D Hashin failure criteria and considering the tightening torque,the partition and the global degradation models were established. With th
Externí odkaz:
https://doaj.org/article/2d5546ffde5b451bbb91f201324639ef
Autor:
Lin, Zhiyu, Riedl, Mark
The term co-creativity has been used to describe a wide variety of human-AI assemblages in which human and AI are both involved in a creative endeavor. In order to assist with disambiguating research efforts, we present an ontology of co-creative sys
Externí odkaz:
http://arxiv.org/abs/2310.07472
Many advancements have been made in procedural content generation for games, and with mixed-initiative co-creativity, have the potential for great benefits to human designers. However, co-creative systems for game generation are typically limited to
Externí odkaz:
http://arxiv.org/abs/2308.02317
Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversarial training-based defense methods, however, does not attract considerab
Externí odkaz:
http://arxiv.org/abs/2306.02021
Publikováno v:
Proceedings of 14th International Conference on Computational Creativity (2023), 64-73
Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural generative systems has emphasized one particular means of interacting wit
Externí odkaz:
http://arxiv.org/abs/2305.07465
Autor:
Balloch, Jonathan, Lin, Zhiyu, Wright, Robert, Peng, Xiangyu, Hussain, Mustafa, Srinivas, Aarun, Kim, Julia, Riedl, Mark O.
Open-world novelty--a sudden change in the mechanics or properties of an environment--is a common occurrence in the real world. Novelty adaptation is an agent's ability to improve its policy performance post-novelty. Most reinforcement learning (RL)
Externí odkaz:
http://arxiv.org/abs/2301.06294