Manual of Political Economy: A Critical and Variorum Edition

Tusset, Gianfranco

doi:10.1080/10370196.2021.1926107

Cited by 6 publications

(8 citation statements)

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“…In other words, a small number of busy layers play a dominant role in determining the performance. Intriguingly, we find this phenomenon is somewhat identical to the Pareto principle [109,110], in which "roughly 80% of consequences come from 20% of causes." 1 The specification of the busy layers is given in Appendix.…”

Section: Empirical Observations On Fine-tuning Dmssupporting

confidence: 66%

Fine-Tuned Transformer Model for Sentiment Analysis

Liu

Shuai

Zhang

et al. 2020

Knowledge Science, Engineering and Management

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Foundational generative models should be traceable to protect their owners and facilitate safety regulation. To achieve this, traditional approaches embed identifiers based on supervisory trigger-response signals, which are commonly known as backdoor watermarks. They are prone to failure when the model is fine-tuned with nontrigger data. Our experiments show that this vulnerability is due to energetic changes in only a few 'busy' layers during fine-tuning. This yields a novel arbitrary-in-arbitrary-out (AIAO) strategy that makes watermarks resilient to fine-tuning-based removal. The trigger-response pairs of AIAO samples across various neural network depths can be used to construct watermarked subpaths, employing Monte Carlo sampling to achieve stable verification results. In addition, unlike the existing methods of designing a backdoor for the input/output space of diffusion models, in our method, we propose to embed the backdoor into the feature space of sampled subpaths, where a mask-controlled trigger function is proposed to preserve the generation performance and ensure the invisibility of the embedded backdoor. Our empirical studies on the MS-COCO, AFHQ, LSUN, CUB-200, and DreamBooth datasets confirm the robustness of AIAO; while the verification rates of other trigger-based methods fall from ∼90% to ∼70% after fine-tuning, those of our method remain consistently above 90%.

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Section: Empirical Observations On Fine-tuning Dmssupporting

confidence: 66%

Fine-Tuned Transformer Model for Sentiment Analysis

Liu

Shuai

Zhang

et al. 2020

Knowledge Science, Engineering and Management

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“…Two theories are foundational for this project, and they include Pareto's (1906) efficiency/optimization theory and Homans's (1951) social exchange theory. Pareto described how efficient sharing of finite resources includes equal sharing without damaging the quality of the resources.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Delays, cancelations, and reshuffling of surgical cases involve more than one department, impacting the care delivered in other areas of the hospital such as radiology and the medical clinics. Pareto's (1906) Homans's (1951) ideas that people are partners in a relationship provide strong theoretical foundations to the importance of this project, particularly modifying the preoperative telephone interview to support patient interaction. Although the responsibility of preparing resources such as surgical schedule time, skilled professionals, instruments, and disposables, lies with the organization, the patient/parent also has a responsibility to prepare for their surgery.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Patient and Parent Engagement in Preoperative Telephone Call for Efficiency in Elective Surgery

Frederick¹

2020

Journal of Pediatric Surgical Nursing

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Introducton Late starts in the operating room (OR) create inefficiency, wasting resources including time, labor, and money. The purpose of this project was to determine how a modified preoperative telephone call could impact first-case start times, using Pareto's theory of efficiency and Homans's social exchange theory to bring the patient in as a partner in care. Method This preintervention–postintervention project compared telephone call methodologies and its effect on first-case start time. Previously, the OR clerk called the patient/parent and read a list of instructions. For this study, the clerk was retrained by the researcher to involve the patient/parent in the dialogue. Instead of “Be sure to do all prescribed tests ordered by physician before you come,” the language was “Did your doctor give you any instructions for Billy? Tell me about it? What have you done already?” The control group was measurement of late starts for 120 cases before the intervention and matched to 120 cases after the intervention. Results Statistical analysis showed a 7.5% improvement in the number of late start cases, from 31/120 to 22/120. The number of late minutes decreased from 500 to 171 (p = .010). Discussion As each hour in the OR is billed at approximately $3,000, implementation of this modified preoperative telephone call significantly improved operational efficiency with $0 cost to the organization. The number of late cases was decreased, and the time saved was surprisingly compelling.

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“…Finally, there was one similarity between the countries: in all three, a small number of providers was responsible for conducting a large proportion of screening: the top five screening providers in each of the countries (representing 7%, 4% and 10% of all screeners respectively in Colombia, Mexico and Peru) screened 46% (Colombia), 39% (Mexico) and 42% (Peru) patients. This could be explained by the Pareto principle, a version of power law which in which the majority of consequences can be attributed to a small number of causes (Pareto, 2014).…”

Section: Association With the Outcome -General Factorsmentioning

confidence: 99%

“…This implies that the implementation strategies (in combination with the context) did not have the same impact on all participating providers, and produced much larger outcomes in some of them. This is not an uncommon occurrence -Pareto principle as an example of scaling law, where a majority of the consequences comes from minority of the outputs, shows up in many fields (Pareto, 2014). Unintended consequences Complex systems are characterised by unanticipated processes and outcomes as a result of non-linear processes and feedback loops…”

Section: Feedbackmentioning

confidence: 99%

Scaling up alcohol prevention in primary health care

Kokole

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Manual of Political Economy: A Critical and Variorum Edition

Cited by 6 publications

References 0 publications

Fine-Tuned Transformer Model for Sentiment Analysis

Fine-Tuned Transformer Model for Sentiment Analysis

Patient and Parent Engagement in Preoperative Telephone Call for Efficiency in Elective Surgery

Scaling up alcohol prevention in primary health care

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