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Generalizability is not optional: insights from a cross-cultural study of social discounting [PDF]
Royal Society Open Science, 2019 Current scientific reforms focus more on solutions to the problem of reliability (e.g. direct replications) than generalizability. Here, we use a cross-cultural study of social discounting to illustrate the utility of a complementary focus on ...
Leonid Tiokhin +2 more
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A Unified Framework on Generalizability of Clinical Prediction Models
Frontiers in Artificial Intelligence, 2022 To be useful, clinical prediction models (CPMs) must be generalizable to patients in new settings. Evaluating generalizability of CPMs helps identify spurious relationships in data, provides insights on when they fail, and thus, improves the ...
Brian Caffo, S Swaroop Vedula
exaly +3 more sources
Sensors, 2021 Multimodal Learning Analytics (MMLA) researchers are progressively employing machine learning (ML) techniques to develop predictive models to improve learning and teaching practices.
Pankaj Chejara +5 more
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There is no generalizability crisis
Behavioral and Brain Sciences, 2021 AbstractFalsificationist and confirmationist approaches provide two well-established ways of evaluating generalizability. Yarkoni rejects both and invents a third approach we call neo-operationalism. His proposal cannot work for the hypothetical concepts psychologists use, because the universe of operationalizations is impossible to define, and ...
Daniel Lakens +2 more
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Benefits from Variational Regularization in Language Models
Machine Learning and Knowledge Extraction, 2022 Representations from common pre-trained language models have been shown to suffer from the degeneration problem, i.e., they occupy a narrow cone in latent space. This problem can be addressed by enforcing isotropy in latent space.
Cornelia Ferner, Stefan Wegenkittl
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Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference
Frontiers in Artificial Intelligence, 2021 Efficient machine learning implementations optimized for inference in hardware have wide-ranging benefits, depending on the application, from lower inference latency to higher data throughput and reduced energy consumption.
Benjamin Hawks +6 more
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The Generalizability of Explanations
2023 International Joint Conference on Neural Networks (IJCNN), 2023 Due to the absence of ground truth, objective evaluation of explainability methods is an essential research direction. So far, the vast majority of evaluations can be summarized into three categories, namely human evaluation, sensitivity testing, and salinity check.
openaire +4 more sources
Assessing Generalizability of CodeBERT
2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021 Pre-trained models like BERT have achieved strong improvements on many natural language processing (NLP) tasks, showing their great generalizability. The success of pre-trained models in NLP inspires pre-trained models for programming language. Recently, CodeBERT, a model for both natural language (NL) and programming language (PL), pre-trained on code
Xin Zhou 0014 +2 more
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Information search in everyday decisions: The generalizability of the attraction search effect
Judgment and Decision Making, 2019 The recently proposed integrated coherence-based decisions and search model (iCodes) makes predictions for search behavior in multi-attribute decision tasks beyond those of classic decision-making heuristics.
Sophie E. Scharf +2 more
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European Journal of Psychotraumatology, 2020 Background The International Trauma Questionnaire (ITQ) is a self-report measure for post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD), corresponding to the diagnostic criteria in the International Classification of
Peter Sele +3 more
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