Home /
Research
Showing 631 - 636 / 904
Two-Sided Fairness in Non-Personalised Recommendations
AadiSwadiptoMondal, RakeshBal, SayanSinha....
Published date-11/10/2020
fairness, RecommendationSystems
Recommender systems are one of the most widely used services on several online platforms to suggest potential items to the end-users. These services often use different machine learning techniques for …
A weighted-sum method for solving the bi-objective traveling thief problem
JonatasB.C.Chagas, MarkusWagner....
Published date-11/10/2020
Many real-world optimization problems have multiple interacting components. Each of these can be NP-hard and they can be in conflict with each other, i.e., the optimal solution for one component …
Towards a Better Global Loss Landscape of GANs
RuoyuSun, TiantianFang, AlexSchwing....
Published date-11/10/2020
Understanding of GAN training is still very limited. One major challenge is its non-convex-non-concave min-max objective, which may lead to sub-optimal local minima. In this work, we perform a global …
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning
JaredD.Willard, JordanS.Read, AlisonP.Appling....
Published date-11/10/2020
Meta-Learning, TransferLearning
Most environmental data come from a minority of well-observed sites. An ongoing challenge in the environmental sciences is transferring knowledge from monitored sites to unobserved sites. Here, we demonstrate a …
Estimating Risk-Adjusted Hospital Performance
EvavanWeenen, StefanFeuerriegel....
Published date-11/10/2020
The quality of healthcare provided by hospitals is subject to considerable variability. Consequently, accurate measurements of hospital performance are essential for various decision-makers, including patients, hospital managers and health insurers. …
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
AngelMartínez-González, MichaelVillamizar, OlivierCanévet....
Published date-11/10/2020
3DHumanPoseEstimation, 3DPoseEstimation, Humanrobotinteraction, PoseEstimation
We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person Human-Robot Interaction …