Zobrazeno 1 - 10
of 27 404
pro vyhledávání: '"Liu,Lin"'
Autor:
Lin, Junjie, Zhao, Jian, Liu, Lin, Deng, Yue, Zhao, Youpeng, Huang, Lanxiao, Lin, Xia, Zhou, Wengang, Li, Houqiang
Traditionally, AI development for two-player zero-sum games has relied on two primary techniques: decision trees and reinforcement learning (RL). A common approach involves using a fixed decision tree as one player's strategy while training an RL age
Externí odkaz:
http://arxiv.org/abs/2412.11417
Causal discovery is a crucial initial step in establishing causality from empirical data and background knowledge. Numerous algorithms have been developed for this purpose. Among them, the score-matching method has demonstrated superior performance a
Externí odkaz:
http://arxiv.org/abs/2412.07469
Latent confounders are a fundamental challenge for inferring causal effects from observational data. The instrumental variable (IV) approach is a practical way to address this challenge. Existing IV based estimators need a known IV or other strong as
Externí odkaz:
http://arxiv.org/abs/2412.04641
Querying causal effects from time-series data is important across various fields, including healthcare, economics, climate science, and epidemiology. However, this task becomes complex in the existence of time-varying latent confounders, which affect
Externí odkaz:
http://arxiv.org/abs/2411.17774
Higher-Order Influence Functions (HOIF), developed in a series of papers over the past twenty years, is a fundamental theoretical device for constructing rate-optimal causal-effect estimators from observational studies. However, the value of HOIF for
Externí odkaz:
http://arxiv.org/abs/2411.08491
Autor:
Wan, Jiaxin, Liu, Lin, Wang, Haoran, Li, Liangwei, Li, Wei, Kou, Shuheng, Li, Runtian, Tang, Jiayi, Liu, Juanxiu, Zhang, Jing, Du, Xiaohui, Hao, Ruqian
Total hip arthroplasty (THA) relies on accurate landmark detection from radiographic images, but unstructured data caused by irregular patient postures or occluded anatomical markers pose significant challenges for existing methods. To address this,
Externí odkaz:
http://arxiv.org/abs/2411.08488
Facial landmark detection is a fundamental problem in computer vision for many downstream applications. This paper introduces a new facial landmark detector based on vision transformers, which consists of two unique designs: Dual Vision Transformer (
Externí odkaz:
http://arxiv.org/abs/2411.07167
Autor:
Furqon, Muhammad Tanzil, Pratama, Mahardhika, Shiddiqi, Ary Mazharuddin, Liu, Lin, Habibullah, Habibullah, Dogancay, Kutluyil
The issue of source-free time-series domain adaptations still gains scarce research attentions. On the other hand, existing approaches rely solely on time-domain features ignoring frequency components providing complementary information. This paper p
Externí odkaz:
http://arxiv.org/abs/2410.17511
Intervention intuition is often used in model explanation where the intervention effect of a feature on the outcome is quantified by the difference of a model prediction when the feature value is changed from the current value to the baseline value.
Externí odkaz:
http://arxiv.org/abs/2410.15648
Recommender systems are extensively utilised across various areas to predict user preferences for personalised experiences and enhanced user engagement and satisfaction. Traditional recommender systems, however, are complicated by confounding bias, p
Externí odkaz:
http://arxiv.org/abs/2410.12451