Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ruan, Charlie"'
Autor:
Dong, Yixin, Ruan, Charlie F., Cai, Yaxing, Lai, Ruihang, Xu, Ziyi, Zhao, Yilong, Chen, Tianqi
The applications of LLM Agents are becoming increasingly complex and diverse, leading to a high demand for structured outputs that can be parsed into code, structured function calls, and embodied agent commands. These developments bring significant d
Externí odkaz:
http://arxiv.org/abs/2411.15100
We present the MIDInfinite, a web application capable of generating symbolic music using a large-scale generative AI model locally on commodity hardware. Creating this demo involved porting the Anticipatory Music Transformer, a large language model (
Externí odkaz:
http://arxiv.org/abs/2411.09625
Autor:
Feng, Siyuan, Liu, Jiawei, Lai, Ruihang, Ruan, Charlie F., Yu, Yong, Zhang, Lingming, Chen, Tianqi
Deploying machine learning (ML) on diverse computing platforms is crucial to accelerate and broaden their applications. However, it presents significant software engineering challenges due to the fast evolution of models, especially the recent Large
Externí odkaz:
http://arxiv.org/abs/2404.09151
Autor:
Cooper, A. Feder, Guo, Wentao, Pham, Khiem, Yuan, Tiancheng, Ruan, Charlie F., Lu, Yucheng, De Sa, Christopher
Recent research on online Gradient Balancing (GraB) has revealed that there exist permutation-based example orderings for SGD that are guaranteed to outperform random reshuffling (RR). Whereas RR arbitrarily permutes training examples, GraB leverages
Externí odkaz:
http://arxiv.org/abs/2302.00845
Autor:
Ruan, Charlie
Approximating Martingale Process (AMP) is proven to be effective for variance reduction in reinforcement learning (RL) in specific cases such as Multiclass Queueing Networks. However, in the already proven cases, the state space is relatively small a
Externí odkaz:
http://arxiv.org/abs/2211.15886
Photo Rater is a computer vision project that uses neural networks to help photographers select the best photo among those that are taken based on the same scene. This process is usually referred to as "culling" in photography, and it can be tedious
Externí odkaz:
http://arxiv.org/abs/2211.14420
Autor:
Cooper, A. Feder, Guo, Wentao, Pham, Khiem, Yuan, Tiancheng, Ruan, Charlie F., Lu, Yucheng, De Sa, Christopher
Recent research on online Gradient Balancing (GraB) has revealed that there exist permutation-based example orderings that are guaranteed to outperform random reshuffling (RR). Whereas RR arbitrarily permutes training examples, GraB leverages stale g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8efea5db164460d9d2ce6a5ae6c79e3
http://arxiv.org/abs/2302.00845
http://arxiv.org/abs/2302.00845