Results 61 to 70 of about 6,437 (212)
Debiased Distribution Compression
CoRRPublished at ICML ...
Lingxiao Li, Raaz Dwivedi, Lester Mackey
openaire +4 more sources
Debiasing training reduces confirmation bias in national risk analysts. [PDF]
Sci RepState risk forecasts are crucial for allocating resources to address international and domestic threats such as war, pandemics, and climate change. These risk forecasts largely rely on human judgment, which is often susceptible to cognitive biases.
Heerma van Voss B +5 more
europepmc +2 more sources
Effect of Debiasing on Information Retrieval [PDF]
, 2020 Word embeddings provide a common basis for modern natural language processing tasks, however, they have also been a source of discussion regarding their possible biases. This has led to a number of publications regarding algorithms for removing this bias from word embeddings.
Emma J. Gerritse, Arjen P. de Vries
openaire +3 more sources
What Changed? Investigating Debiasing Methods using Causal Mediation Analysis [PDF]
, 2022 Previous work has examined how debiasing language models affect downstream tasks, specifically, how debiasing techniques influence task performance and whether debiased models also make impartial predictions in downstream tasks or not.
Diesner, Jana, Jeoung, Sullam
core
Debiasing Strategies and Judicial Decision-Making: Exploring a Duty to Improve Judges’ Capabilities
AthenaJudicial decision-making carries profound consequences for individuals and society, with expectations that judges act with objectivity and neutrality.
Giovana Peluso Lopes
doaj +1 more source
Variations on anchoring: Sequential anchoring revisited
Judgment and Decision Making, 2019 The anchoring effect, the assimilation of judgment toward a previously considered value, has been shown using various experimental paradigms. We used several variations of the sequential anchoring paradigm, in which a numeric estimate influences a ...
Štěpán Bahník +3 more
doaj +1 more source
Towards Debiasing Translation Artifacts
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022 Accepted to NAACL 2022, Main ...
Koel Dutta Chowdhury +3 more
openaire +4 more sources
Inference-Time Selective Debiasing [PDF]
We propose selective debiasing -- an inference-time safety mechanism that aims to increase the overall quality of models in terms of prediction performance and fairness in the situation when re-training a model is prohibitive.
Smirnov, Ivan +4 more
core +1 more source
Backward planning: Effects of planning direction on predictions of task completion time
Judgment and Decision Making, 2016 People frequently underestimate the time needed to complete tasks and we examined a strategy – known as backward planning – that may counteract this optimistic bias.
Jessica Wiese +2 more
doaj +1 more source
Improving Evaluation of Debiasing in Image Classification [PDF]
, 2023 Image classifiers often rely overly on peripheral attributes that have a strong correlation with the target class (i.e., dataset bias) when making predictions. Due to the dataset bias, the model correctly classifies data samples including bias attributes
Lee, Jungsoo +3 more
core