Zobrazeno 1 - 10
of 18 515
pro vyhledávání: '"An, Jiachen"'
Pose-driven human image animation has achieved tremendous progress, enabling the generation of vivid and realistic human videos from just one single photo. However, it conversely exacerbates the risk of image misuse, as attackers may use one availabl
Externí odkaz:
http://arxiv.org/abs/2409.14424
Recent studies show that text-to-image (T2I) models are vulnerable to adversarial attacks, especially with noun perturbations in text prompts. In this study, we investigate the impact of adversarial attacks on different POS tags within text prompts o
Externí odkaz:
http://arxiv.org/abs/2409.15381
Autor:
Zhou, Xuanru, Lian, Jiachen, Cho, Cheol Jun, Liu, Jingwen, Ye, Zongli, Zhang, Jinming, Morin, Brittany, Baquirin, David, Vonk, Jet, Ezzes, Zoe, Miller, Zachary, Tempini, Maria Luisa Gorno, Anumanchipalli, Gopala
Speech dysfluency modeling is a task to detect dysfluencies in speech, such as repetition, block, insertion, replacement, and deletion. Most recent advancements treat this problem as a time-based object detection problem. In this work, we revisit thi
Externí odkaz:
http://arxiv.org/abs/2409.13582
Autor:
Ubach, Santiago, Steiner, James F., Jiang, Jiachen, Garcia, Javier, Connors, Riley M. T., Mastroserio, Guglielmo, Feng, Ye, Tomsick, John A.
We present our analysis of MAXI J1813-095 during its hard state ``stalled'' outburst in 2018. This self-consistent analysis has been carried out using \NICER, \Swift, \Chandra, and {\NuSTAR} throughout seven observations of MAXI J1813-095. We find a
Externí odkaz:
http://arxiv.org/abs/2409.13481
Cooperative perception systems play a vital role in enhancing the safety and efficiency of vehicular autonomy. Although recent studies have highlighted the efficacy of vehicle-to-everything (V2X) communication techniques in autonomous driving, a sign
Externí odkaz:
http://arxiv.org/abs/2409.10699
In recent years, the application of large language models (LLMs) to code-related tasks has gained significant attention. However, existing evaluation benchmarks often focus on limited scenarios, such as code generation or completion, which do not ref
Externí odkaz:
http://arxiv.org/abs/2409.10280
Autor:
Zhang, Chuanyu, Lu, Zhide, Zhao, Liangtian, Xu, Shibo, Li, Weikang, Wang, Ke, Chen, Jiachen, Wu, Yaozu, Jin, Feitong, Zhu, Xuhao, Gao, Yu, Tan, Ziqi, Cui, Zhengyi, Zhang, Aosai, Wang, Ning, Zou, Yiren, Li, Tingting, Shen, Fanhao, Zhong, Jiarun, Bao, Zehang, Zhu, Zitian, Song, Zixuan, Deng, Jinfeng, Dong, Hang, Zhang, Pengfei, Jiang, Wenjie, Sun, Zheng-Zhi, Shen, Pei-Xin, Li, Hekang, Guo, Qiujiang, Wang, Zhen, Hao, Jie, Wang, H., Deng, Dong-Ling, Song, Chao
Quantum computers may outperform classical computers on machine learning tasks. In recent years, a variety of quantum algorithms promising unparalleled potential to enhance, speed up, or innovate machine learning have been proposed. Yet, quantum lear
Externí odkaz:
http://arxiv.org/abs/2409.09729
Autor:
Zhou, Xuanru, Cho, Cheol Jun, Sharma, Ayati, Morin, Brittany, Baquirin, David, Vonk, Jet, Ezzes, Zoe, Miller, Zachary, Tee, Boon Lead, Tempini, Maria Luisa Gorno, Lian, Jiachen, Anumanchipalli, Gopala
Current de-facto dysfluency modeling methods utilize template matching algorithms which are not generalizable to out-of-domain real-world dysfluencies across languages, and are not scalable with increasing amounts of training data. To handle these pr
Externí odkaz:
http://arxiv.org/abs/2409.09621
Direct Preference Optimization (DPO) is a method for enhancing model performance by directly optimizing for the preferences or rankings of outcomes, instead of traditional loss functions. This approach has proven effective in aligning Large Language
Externí odkaz:
http://arxiv.org/abs/2409.10571
Deploying deep learning models on Internet of Things (IoT) devices often faces challenges due to limited memory resources and computing capabilities. Cooperative inference is an important method for addressing this issue, requiring the partitioning a
Externí odkaz:
http://arxiv.org/abs/2409.07693