Service Learning

We are facing many kinds of pollution as human progress with technology. For example, after the world is industrialized, we are facing the risk of global warming and air pollution. Also, The invention of the irrigation system cause desertification. While we are trying to find a replacement for fossil fuels, we created contamination along the way, we started affecting the wild lives around us and it is beginning to affect us.https://digitalscholarship.unlv.edu/educ_sys_202/1086/thumbnail.jp

Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework

Example weighting algorithm is an effective solution to the training bias problem, however, most previous typical methods are usually limited to human knowledge and require laborious tuning of hyperparameters. In this paper, we propose a novel example weighting framework called Learning to Auto Weight (LAW). The proposed framework finds step-dependent weighting policies adaptively, and can be jointly trained with target networks without any assumptions or prior knowledge about the dataset. It consists of three key components: Stage-based Searching Strategy (3SM) is adopted to shrink the huge searching space in a complete training process; Duplicate Network Reward (DNR) gives more accurate supervision by removing randomness during the searching process; Full Data Update (FDU) further improves the updating efficiency. Experimental results demonstrate the superiority of weighting policy explored by LAW over standard training pipeline. Compared with baselines, LAW can find a better weighting schedule which achieves much more superior accuracy on both biased CIFAR and ImageNet.Comment: Accepted by AAAI 202

Brokerage Intermediation in the Commercial Property Market

This study is one of the first to investigate brokerage intermediation effects in the income producing commercial property market. Employing multifamily sales data from the Atlanta and Phoenix markets under alternative brokerage specifications, little evidence to support the existence of systematic, differential transaction pricing outcomes due to the presence of brokers is found. The results suggest that the existence of brokerage intermediation effects is likely minimal in commercial markets that are relatively transparent, that have participants who are knowledgeable, and where value and price are typically determined based on a property’s income generating capacity.