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About 10,000 papers for “Memorization”

Memorization

Grzegorz Jankowicz · Homo Politicus (Academy of Humanities and Economics in Lodz) · 2015

Cited by 0

Memorization

Jane Ginsborg · Oxford University Press eBooks · 2022

Abstract Abstract: The chapter begins by explaining how memory is currently understood, with illustrations relevant to musicians. Next, it focuses on the spontaneous and deliberate processes underlying expert musicians’ memorization and recall for music and shows how musicians develop mental representations on which they draw when performing from memory. It goes on to provide a brief history of the pedagogy of music memorization, summarizes performers’ and teachers’ advice dating from more than 100 years ago, and discusses more recent empirical research on memorization by musicians and psychologists. It then addresses the practical implications of the theories of memory that were introduced at the beginning of the chapter, musicians’ own accounts of their memorizing strategies, and relevant research evidence. In conclusion, it makes recommendations for memorizing and recalling music from memory, reminds readers that performing from memory is a convention not a rule, and offers some reassurance in relation to memory lapses.

Cited by 4

Memorization

Xie Sijun, Xie Qigang, Zhang Kan · 2024

Cited by 0

Unsupervised Memorization

Leslie G. Valiant · 1994

Abstract Unsupervised memorization, as formulated earlier, appears on the surface to be a simple task. Following one presentation of an input, changes in the neuroidal system take place so that if an identical or similar enough input is presented in the future, the neuroidal system will recognize this repetition. By the term similar, we are not implying any abstract metric of similarity. We mean simply that the effects on the other circuits present in the system are substantially the same.

Cited by 0

Beyond Memorization

Ha Nguyen, Kristin Javorsky · Advances in educational technologies and instructional design book series · 2024

This chapter examines the limitations of Vietnam's National Foreign Language Project 2020, particularly the ongoing struggle of many students to communicate effectively in English despite years of instruction. The chapter argues that the heavy reliance on rote memorization of vocabulary, a widespread practice in Vietnamese EFL education, leads to superficial learning and favors certain students over others. It explores key challenges in Vietnam's EFL landscape, such as teachers' pedagogical content knowledge, the quality of instructional materials, and the lack of effective student learning strategies. The chapter advocates replacing rote memorization with more equitable and effective approaches along with embedding the four-part processing model for word recognition and the four strands principle. It concludes with practical pedagogical strategies to illustrate how these methods can be applied in the Vietnamese context.

Cited by 2Open access

The Pitfalls of Memorization: When Memorization Hurts Generalization

Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob et al. · arXiv (Cornell University) · 2024

Neural networks often learn simple explanations that fit the majority of the data while memorizing exceptions that deviate from these explanations.This behavior leads to poor generalization when the learned explanations rely on spurious correlations. In this work, we formalize the interplay between memorization and generalization, showing that spurious correlations would particularly lead to poor generalization when are combined with memorization. Memorization can reduce training loss to zero, leaving no incentive to learn robust, generalizable patterns. To address this, we propose memorization-aware training (MAT), which uses held-out predictions as a signal of memorization to shift a model's logits. MAT encourages learning robust patterns invariant across distributions, improving generalization under distribution shifts.

Cited by 1Open access

Memorization vs Mastery

Adrienne Samuels Gibbs · Council Chronicle · 2022

It’s Time to Talk about Engaged Pedagogies.

Cited by 0

Sparse Memorization Machines

Hailan Zhang, YuanHai Shao · 2025

We propose the Sparse Memorization Machines (SMM), a memory-based model that integrates effective memorization with sparsity for pattern classification. Similar to the Generalization Memorization Machines (GMM), SMM achieves zero empirical risk and strong generalization ability, but further enforces sample sparsity, thereby improving model interpretability. Moreover, the sparsity of SMM directly enhances inference efficiency. To quantify sparsity, we introduce two metrics: the Sample Sparsity Ratio (SSR) and the Memory Cost Sparsity Ratio (MCSR). Experimental results validate the effectiveness of SMM in both memorization and generalization, while demonstrating that, compared to other memory-based models, SMM consistently achieves higher sparsity and significantly reduces inference time.

Cited by 0Open access

Memorization-in-Code

Anonymous, Anonymous · Figshare · 2023

This repository is for our ASE submission 📚 <strong>**Unraveling Memorization in Code Models**</strong>, which explores the memorization in code models.

Cited by 0Open access