Results 21 to 30 of about 6,437 (212)
NeuronSup:Deep Model Debiasing Based on Bias Neuron Suppression [PDF]
Jisuanji kexue, 2023 With the wide application of deep learning,researchers not only focus on the classification performance of the model,but also need to pay attention to whether the decision of the model is fair and credible.A deep learning model with decision bias may ...
NI Hongjie, LIU Jiawei, ZHENG Haibin, CHEN Yipeng, CHEN Jinyin
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Cognitive debiasing 1: origins of bias and theory of debiasing [PDF]
BMJ Quality & Safety, 2013 Numerous studies have shown that diagnostic failure depends upon a variety of factors. Psychological factors are fundamental in influencing the cognitive performance of the decision maker. In this first of two papers, we discuss the basics of reasoning and the Dual Process Theory (DPT) of decision making.
Croskerry, P +2 more
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Rebiasing: Managing automatic biases over time
Frontiers in Psychology, 2022 Automatic preferences can influence a decision maker’s choice before any relevant or meaningful information is available. We account for this element of human cognition in a computational model of problem solving that involves active trial and error and ...
Aleksey Korniychuk, Eric Luis Uhlmann
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Political polarization: a curse of knowledge?
Frontiers in Psychology, 2023 PurposeCould the curse of knowledge influence how antagonized we are towards political outgroups? Do we assume others know what we know but still disagree with us?
Peter Beattie, Marguerite Beattie
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The Debiased Spatial Whittle Likelihood
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022 AbstractWe provide a computationally and statistically efficient method for estimating the parameters of a stochastic covariance model observed on a regular spatial grid in any number of dimensions. Our proposed method, which we call the Debiased Spatial Whittle likelihood, makes important corrections to the well-known Whittle likelihood to account for
Guillaumin, Arthur P. +3 more
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Comparing fast thinking and slow thinking: The relative benefits of interventions, individual differences, and inferential rules [PDF]
Judgment and Decision Making, 2020 Research on judgment and decision making has suggested that the System 2 process of slow thinking can help people to improve their decision making by reducing well-established statistical decision biases (including base rate neglect, probability matching,
M. Asher Lawson +2 more
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Debiasing Crowdsourced Batches [PDF]
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 Crowdsourcing is the de-facto standard for gathering annotated data. While, in theory, data annotation tasks are assumed to be attempted by workers independently, in practice, data annotation tasks are often grouped into batches to be presented and annotated by workers together, in order to save on the time or cost overhead of providing instructions or
Honglei Zhuang +3 more
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Expanding Nature’s storytelling: extended reality and debiasing strategies for an eco-agency
Frontiers in Psychology, 2023 Communication in sustainability and environmental sciences is primed to be substantially changed with extended reality technology, as the emergent Metaverse gives momentum to building an urgent pro-environmental mindset.
Cristina M. Reis, António Câmara
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Debiasing Image Generative Models [PDF]
, 2023 Generative models have become increasingly popular in various domains to solve challenging tasks, including image generation, dialogue generation, and story generation.
Tanjim, Md Mehrab
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Debiasing convolutional neural networks via Meta Orthogonalization [PDF]
, 2021 As deep learning becomes present in many applications, we must consider possible shortcomings of these models, such as bias towards protected attributes in datasets.
David, Kurtis Evan Alejo
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