Model attribution is a popular tool to explain the rationales behind model predictions. However, recent work suggests that the attributions are vulnerable to minute perturbations, which can be added t...

Internal attributions focus on personal traits or characteristics as causes for behavior, leading individuals to believe that actions are a result of who someone is. In contrast, external attributions...

Jun 15, 2024 · Attributions play a fundamental role in social perception, helping us make sense of the world and navigate our relationships. By distinguishing between internal and external attributi...

Learn the meaning of Attributions in English, including definitions, examples, translations, and interesting facts. Explore how Attributions is used in different contexts with finesentence.com.

A Survey of Attributions for Large Language Models (⭐ 227)

This paper focuses on the fundamental challenge of partitioning input variables in attribution methods for Explainable AI, particularly in Shapley value-based approaches. Previous methods always compu...

process of making attributions. As early researchers explored the way people make causal attributions, they also recognized that attributions do not necessarily

Large language models (LLMs) are increasingly used for long-document question answering, where reliable attribution to sources is critical for trust. Existing post-hoc attribution methods work well fo...

It's become clear how attribution influences *almost every* marketing decision in terms of budget allocation, campaign prioritization, even team incentives. But the more I learn, the messier it get...

Given the increasing amount and general complexity of time series data in domains such as finance, weather forecasting, and healthcare, there is a growing need for state-of-the-art performance models ...

To explain predictions made by complex machine learning models, many feature attribution methods have been developed that assign importance scores to input features. Some recent work challenges the ro...

Influence Functions are a standard tool for attributing predictions to training data in a principled manner and are widely used in applications such as data valuation and fairness. In this work, we pr...

For machine learning models to be reliable and trustworthy, their decisions must be interpretable. As these models find increasing use in safety-critical applications, it is important that not just th...

High-performing predictive models, such as neural nets, usually operate as black boxes, which raises serious concerns about their interpretability. Local feature attribution methods help to explain bl...

(internal). These initial perceptions are called attributions. Psychologists use these attributions to better understand an individual's motivation and

inference, while causal attributions occur much more slowly. It has also been suggested that correspondence inferences and causal attributions are elicited by

make dispositional attributions. Choice, having the opportunity and willingness to choose one's behaviour can show internal attributions. Accidental vs.

Shapley values, which were originally designed to assign attributions to individual players in coalition games, have become a commonly used approach in explainable machine learning to provide attribut...

Jun 11, 2023 · When we explain the behavior of others, we look for enduring internal attributions, such as personality traits. This is known as the fundamental attribution error.

Show/edit any view's attributions on the screen. (⭐ 3268)

Feb 2, 2026 · In social psychology, attribution involves making inferences about the behaviors of others. Attributions, however, are often prone to errors and biases. Learn how.

Look up attribution in Wiktionary, the free dictionary. Attribution may refer to: Attribution (copyright), concept in copyright law requiring an author

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Show/edit any view's attributions on the screen. (⭐ 3268)

Points: 747 | Comments: 349 | Author: mkeeter

Model attribution is a popular tool to explain the rationales behind model predictions. However, recent work suggests that the attributions are vulnerable to minute perturbations, which can be added t...

The meaning of ATTRIBUTION is the act of attributing something; especially : the ascribing of a work (as of literature or art) to a particular author or artist. How to use attribution in a sentence.

(internal). These initial perceptions are called attributions. Psychologists use these attributions to better understand an individual's motivation and

...

Attribution Reporting API (⭐ 444)

Points: 389 | Comments: 84 | Author: nabeards

Given the increasing amount and general complexity of time series data in domains such as finance, weather forecasting, and healthcare, there is a growing need for state-of-the-art performance models ...

Jun 11, 2023 · When we explain the behavior of others, we look for enduring internal attributions, such as personality traits. This is known as the fundamental attribution error.

"Not for Attribution" is the third episode of the fifth season of the HBO original series The Wire. The episode was written by Chris Collins from a story

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Show/edit any view's attributions, any app. (⭐ 710)

To explain predictions made by complex machine learning models, many feature attribution methods have been developed that assign importance scores to input features. Some recent work challenges the ro...

ATTRIBUTION definition: 1. the act of saying or thinking that something is the result or work of a particular person or…. Learn more.

inference, while causal attributions occur much more slowly. It has also been suggested that correspondence inferences and causal attributions are elicited by

...

Attribution API (⭐ 91)

Influence Functions are a standard tool for attributing predictions to training data in a principled manner and are widely used in applications such as data valuation and fairness. In this work, we pr...

Definition of attribution noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.

process of making attributions. As early researchers explored the way people make causal attributions, they also recognized that attributions do not necessarily

...

The modern link attribution platform. Loved by world-class marketing teams like Framer, Perplexity, Superhuman, Twilio, Buffer and more. (⭐ 23127)

Recent efforts to address hallucinations in Large Language Models (LLMs) have focused on attributed text generation, which supplements generated texts with citations of supporting sources for post-gen...

ATTRIBUTION definition: the act of attributing; ascription. See examples of attribution used in a sentence.

make dispositional attributions. Choice, having the opportunity and willingness to choose one's behaviour can show internal attributions. Accidental vs.

...

A Survey of Attributions for Large Language Models (⭐ 227)

Data attribution methods aim to answer useful counterfactual questions like "what would a ML model's prediction be if it were trained on a different dataset?" However, estimation of data attribution m...

Attributions play a fundamental role in social perception, helping us make sense of the world and navigate our relationships. By distinguishing between internal and external attributions, and …

naturalistic attributions.  Scholars in the field of cognitive science of religion study religious thought and behavior, like religious attribution, from the

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The Java Graphical Authorship Attribution Program (⭐ 279)

This paper focuses on the fundamental challenge of partitioning input variables in attribution methods for Explainable AI, particularly in Shapley value-based approaches. Previous methods always compu...

ambiguous scenarios, and these attributions are then used by the researchers to determine the level of the child's hostile attribution bias. Careful selection

Per Joshua Wolens at PC Gamer: >At a Q&A session with staff held the following week, Bellamy apologised for his initial communication but didn't relent, noting that the world "is getting stran...

Multi-Touch Attribution (⭐ 125)

For machine learning models to be reliable and trustworthy, their decisions must be interpretable. As these models find increasing use in safety-critical applications, it is important that not just th...

another platform, by using a compatible license, and making reference and attribution to the original license (e.g. by referring to the URL of the original

...

Library for extracting marketing attribution data from referrer URLs (⭐ 378)

High-performing predictive models, such as neural nets, usually operate as black boxes, which raises serious concerns about their interpretability. Local feature attribution methods help to explain bl...

In marketing, attribution, also known as multi-touch attribution (MTA), is the identification of a set of user actions ("events" or "touchpoints") that

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Diffusion attentive attribution maps for interpreting Stable Diffusion. (⭐ 788)

Understanding multimodal perception for embodied AI is an open question because such inputs may contain highly complementary as well as redundant information for the task. A relevant direction for mul...