Zobrazeno 1 - 10
of 1 422
pro vyhledávání: '"Zharkov, A. P."'
Autor:
Zharkov, Kirill, Chaikovskii, Mikhail, Osipov, Yefim, Alshaowa, Rahaf, Borisov, Ivan, Kolyubin, Sergey
Robots' behavior and performance are determined both by hardware and software. The design process of robotic systems is a complex journey that involves multiple phases. Throughout this process, the aim is to tackle various criteria simultaneously, ev
Externí odkaz:
http://arxiv.org/abs/2410.07865
Autor:
Chen, Tianyi, Qu, Xiaoyi, Aponte, David, Banbury, Colby, Ko, Jongwoo, Ding, Tianyu, Ma, Yong, Lyapunov, Vladimir, Zharkov, Ilya, Liang, Luming
Structured pruning is one of the most popular approaches to effectively compress the heavy deep neural networks (DNNs) into compact sub-networks while retaining performance. The existing methods suffer from multi-stage procedures along with significa
Externí odkaz:
http://arxiv.org/abs/2409.09085
Autor:
Gong, Yifan, Zhan, Zheng, Li, Yanyu, Idelbayev, Yerlan, Zharkov, Andrey, Aberman, Kfir, Tulyakov, Sergey, Wang, Yanzhi, Ren, Jian
Good weight initialization serves as an effective measure to reduce the training cost of a deep neural network (DNN) model. The choice of how to initialize parameters is challenging and may require manual tuning, which can be time-consuming and prone
Externí odkaz:
http://arxiv.org/abs/2407.11966
Diffusion transformers (DiT) have become the de facto choice for generating high-quality images and videos, largely due to their scalability, which enables the construction of larger models for enhanced performance. However, the increased size of the
Externí odkaz:
http://arxiv.org/abs/2407.01425
Existing angle-based contour descriptors suffer from lossy representation for non-starconvex shapes. By and large, this is the result of the shape being registered with a single global inner center and a set of radii corresponding to a polar coordina
Externí odkaz:
http://arxiv.org/abs/2404.08292
Autor:
Wang, Guangzhi, Chen, Tianyi, Ghasedi, Kamran, Wu, HsiangTao, Ding, Tianyu, Nuesmeyer, Chris, Zharkov, Ilya, Kankanhalli, Mohan, Liang, Luming
Face attribute editing plays a pivotal role in various applications. However, existing methods encounter challenges in achieving high-quality results while preserving identity, editing faithfulness, and temporal consistency. These challenges are root
Externí odkaz:
http://arxiv.org/abs/2404.08111
Autor:
Gong, Yifan, Zhan, Zheng, Jin, Qing, Li, Yanyu, Idelbayev, Yerlan, Liu, Xian, Zharkov, Andrey, Aberman, Kfir, Tulyakov, Sergey, Wang, Yanzhi, Ren, Jian
One highly promising direction for enabling flexible real-time on-device image editing is utilizing data distillation by leveraging large-scale text-to-image diffusion models to generate paired datasets used for training generative adversarial networ
Externí odkaz:
http://arxiv.org/abs/2401.06127
Autor:
Chen, Tianyi, Ding, Tianyu, Zhu, Zhihui, Chen, Zeyu, Wu, HsiangTao, Zharkov, Ilya, Liang, Luming
Compressing a predefined deep neural network (DNN) into a compact sub-network with competitive performance is crucial in the efficient machine learning realm. This topic spans various techniques, from structured pruning to neural architecture search,
Externí odkaz:
http://arxiv.org/abs/2312.09411
In the Max-k-diameter problem, we are given a set of points in a metric space, and the goal is to partition the input points into k parts such that the maximum pairwise distance between points in the same part of the partition is minimized. The appro
Externí odkaz:
http://arxiv.org/abs/2312.02097
Autor:
Ding, Tianyu, Chen, Tianyi, Zhu, Haidong, Jiang, Jiachen, Zhong, Yiqi, Zhou, Jinxin, Wang, Guangzhi, Zhu, Zhihui, Zharkov, Ilya, Liang, Luming
The rapid growth of Large Language Models (LLMs) has been a driving force in transforming various domains, reshaping the artificial general intelligence landscape. However, the increasing computational and memory demands of these models present subst
Externí odkaz:
http://arxiv.org/abs/2312.00678