Results 101 to 110 of about 339,627 (329)
Localizing Catastrophic Forgetting in Neural Networks
Artificial neural networks (ANNs) suffer from catastrophic forgetting when trained on a sequence of tasks. While this phenomenon was studied in the past, there is only very limited recent research on this phenomenon. We propose a method for determining the contribution of individual parameters in an ANN to catastrophic forgetting. The method is used to
Wiewel, Felix, Yang, Bin
openaire +2 more sources
This study of first‐year primary school draws on Goffman's concept of “collective behavior” to examine how order is established and disrupted through the mutual adjustment of all participants' actions. We employed a multi‐method longitudinal design, using semi‐standardized observations and qualitative interviews with teachers and children at three ...
Doris Bühler‐Niederberger +2 more
wiley +1 more source
Synaptic metaplasticity in binarized neural networks
Deep neural networks usually rapidly forget the previously learned tasks while training new ones. Laborieux et al. propose a method for training binarized neural networks inspired by neuronal metaplasticity that allows to avoid catastrophic forgetting ...
Axel Laborieux +3 more
doaj +1 more source
Abstract This article reports on a qualitative study of the way instructors and students understand and respond to traumatizing events in a Sri Lankan university. It shows how the attitudes and practices in the society at large are carried over to classrooms even though local institutions do not have a programmatic trauma‐informed pedagogy.
Suresh Canagarajah +1 more
wiley +1 more source
Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
AT‐AER: Adversarial Training With Adaptive Example Reuse
ABSTRACT Adversarial training (AT) is widely regarded as a crucial defense method for deep neural networks against adversarial attacks. Most of the existing AT methods suffer from the problems of insufficient coverage of perturbation space and robust overfitting.
Meng Hu +5 more
wiley +1 more source
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation [PDF]
Lei Liu, Jimmy Xiangji Huang
openalex +1 more source
In recent decades, solid waste has proliferated worldwide, becoming a pressing global issue. This article explores the role of Indigenous people dwelling within and upon emerging waste scenarios, with a specific focus on involved forms of sociality and ontological contestation. Drawing on the case of a municipal landfill sited on a Guarani community in
Vanesa Martín Galán
wiley +1 more source
Abstract Based on an analysis of the Old Literary Tibetan corpus—a corpus of the oldest documented Tibetic language—the present study provides evidence that literary Tibetan v3 verb stems (commonly termed ‘future’) initially encoded passive voice. New arguments put forward in this article range from Trans‐Himalayan nominal morphology to early Tibetan ...
Joanna Bialek
wiley +1 more source
‘A Sort of Armed Argument’: Ireland's Civil War of Words
Abstract This article sets out to contribute to the study of the languages of European civil wars through outlining and analysing the deployment of language as a weapon by the opposing sides of the Irish independence movement that split over the terms of the Anglo‐Irish Treaty of December 1921.
DONAL Ó DRISCEOIL
wiley +1 more source

