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Autor:
Wu, Kun, Zhu, Yichen, Li, Jinming, Wen, Junjie, Liu, Ning, Xu, Zhiyuan, Qiu, Qinru, Tang, Jian
Learning visuomotor policy for multi-task robotic manipulation has been a long-standing challenge for the robotics community. The difficulty lies in the diversity of action space: typically, a goal can be accomplished in multiple ways, resulting in a
Externí odkaz:
http://arxiv.org/abs/2409.18707
Autor:
Wen, Junjie, Zhu, Yichen, Li, Jinming, Zhu, Minjie, Wu, Kun, Xu, Zhiyuan, Liu, Ning, Cheng, Ran, Shen, Chaomin, Peng, Yaxin, Feng, Feifei, Tang, Jian
Vision-Language-Action (VLA) models have shown remarkable potential in visuomotor control and instruction comprehension through end-to-end learning processes. However, current VLA models face significant challenges: they are slow during inference and
Externí odkaz:
http://arxiv.org/abs/2409.12514
Autor:
Wu, Kun, Park, Jeongmin Brian, Zhang, Xiaofan, Hidayetoğlu, Mert, Mailthody, Vikram Sharma, Huang, Sitao, Lumetta, Steven Sam, Hwu, Wen-mei
The growth rate of the GPU memory capacity has not been able to keep up with that of the size of large language models (LLMs), hindering the model training process. In particular, activations -- the intermediate tensors produced during forward propag
Externí odkaz:
http://arxiv.org/abs/2408.10013
Explainable Recommendation task is designed to receive a pair of user and item and output explanations to justify why an item is recommended to a user. Many models treat review-generation as a proxy of explainable recommendation. Although they are ab
Externí odkaz:
http://arxiv.org/abs/2408.09865
Autor:
Chen, Bo, Feng, Li, Zhang, Guang, Li, Hui, He, Lingping, Song, Kefei, Guo, Quanfeng, Li, Ying, Huang, Yu, Li, Jingwei, Zhao, Jie, Xue, Jianchao, Li, Gen, Shi, Guanglu, Song, Dechao, Lu, Lei, Ying, Beili, Wang, Haifeng, Dai, Shuang, Wang, Xiaodong, Mao, Shilei, Wang, Peng, Wu, Kun, Ren, Shuai, Sun, Liang, Yang, Xianwei, Xia, Mingyi, Zhang, Xiaoxue, Zhou, Peng, Tao, Chen, Liu, Yang, Yu, Sibo, Li, Xinkai, Li, Shuting, Zhang, Ping, Li, Qiao, Tian, Zhengyuan, Zhou, Yue, Tian, Jun, Shan, Jiahui, Liu, Xiaofeng, Jing, Zhichen, Gan, Weiqun
The Lyman-alpha Solar Telescope (LST) on board the Advanced Space-based Solar Observatory (ASO-S) is the first payload to image the full solar disk and the solar corona in both white-light (WL) and ultraviolet (UV) H I Lya, extending up to 2.5 solar
Externí odkaz:
http://arxiv.org/abs/2408.01937
Autor:
Park, Jeongmin Brian, Wu, Kun, Mailthody, Vikram Sharma, Quresh, Zaid, Mahlke, Scott, Hwu, Wen-mei
Graph Neural Networks (GNNs) are widely used today in recommendation systems, fraud detection, and node/link classification tasks. Real world GNNs continue to scale in size and require a large memory footprint for storing graphs and embeddings that o
Externí odkaz:
http://arxiv.org/abs/2407.15264
Autor:
Wu, Kun, Jiang, Zhiguo, Tang, Kunming, Shi, Jun, Xie, Fengying, Wang, Wei, Wu, Haibo, Zheng, Yushan
Large-scale pre-training models have promoted the development of histopathology image analysis. However, existing self-supervised methods for histopathology images focus on learning patch features, while there is still a lack of available pre-trainin
Externí odkaz:
http://arxiv.org/abs/2407.07504
Content-based histopathological image retrieval (CBHIR) has gained attention in recent years, offering the capability to return histopathology images that are content-wise similar to the query one from an established database. However, in clinical pr
Externí odkaz:
http://arxiv.org/abs/2407.08153
As the primary mRNA delivery vehicles, ionizable lipid nanoparticles (LNPs) exhibit excellent safety, high transfection efficiency, and strong immune response induction. However, the screening process for LNPs is time-consuming and costly. To expedit
Externí odkaz:
http://arxiv.org/abs/2407.05736