Autumn

autumn, Oh auriferous autumn, gilded in opulent sunlight, painting the treetops in a wash of gold

Tra termini letterari e regionalismi. Il dizionario nelle mani del traduttore

Come comportarsi nella scelta di traducenti italiani di impronta popolare o arcaizzante? Il saggio illustra alcune situazioni tipiche, con larga esemplificazione

Developing and Transitioning Faculty to Online Teaching

In the midst of decreasing trend in postsecondary enrollment, enrollment in fully online programs continues to trend upward (U.S. Department of Education, 2018). Given the persistent growth of online learning in higher education as the result of adding fully online courses to traditional on-campus programs of study and the persistent development of new fully online programs, the question of instructional effectiveness must be asked. Are faculty in traditional 4-year public universities prepared to effectively deliver online instruction and support the needs of online students? If they are, how were they prepared? If they are not, how can they be prepared

Mint Lifesavers

Over casual conversation my friend tells me that mint lifesavers were her favorite childhood candy, and I agree. over casual conversation I tell her that I connect them to childhood memories as well, and she agrees. this is lighthearted conversation

Summer Mornings

My fondest memories are from summer mornings on the back deck of the old house. Throughout the years, the traditions of ‘“summer mornings” varied, shifting with the inevitable ebb and flow of youth and adolescence, and adulthood, but this tradition remained constant..

Jim Serianni informs incoming students about Denison University\u27s struggle against racial inequality

Jim Serianni, President of the Denison Campus Government Association, informs incoming students about Denison University\u27s struggle against racial inequality so that they discern possible commitment and alternative courses of action. Dated in pencil in the top right-hand corner July 19, 1968

I\u27ve been Waiting Twelve Months for a Call Back

I’ve called my poppy twelve times since last December. I scrolled through my contacts, tapped his name with my thumb, and held the phone to my ear twelve different times. I called my poppy twelve times this year, and twelve times I heard the fateful message, “the number you have reached is no longer in service”..

Il cibo nella Divina Commedia

In this essay a path is tracked through Dante’s masterpiece in search of allusions to food, in relation to the Medieval concept of gluttony and the punishment gluttons deserved in Hell and Purgatory. The terms hunger and food in the Divine Comedy are analysed with precise references to the expressions in the text; these words convey two different, opposite semantic values: one linked to the earthly world, which appears in the first two parts, and another figurative, expressing the thirst for an intellectual and moral knowledge, which is found in Paradise

Training-free Neural Architecture Search for RNNs and Transformers

Neural architecture search (NAS) has allowed for the automatic creation of new and effective neural network architectures, offering an alternative to the laborious process of manually designing complex architectures. However, traditional NAS algorithms are slow and require immense amounts of computing power. Recent research has investigated training-free NAS metrics for image classification architectures, drastically speeding up search algorithms. In this paper, we investigate training-free NAS metrics for recurrent neural network (RNN) and BERT-based transformer architectures, targeted towards language modeling tasks. First, we develop a new training-free metric, named hidden covariance, that predicts the trained performance of an RNN architecture and significantly outperforms existing training-free metrics. We experimentally evaluate the effectiveness of the hidden covariance metric on the NAS-Bench-NLP benchmark. Second, we find that the current search space paradigm for transformer architectures is not optimized for training-free neural architecture search. Instead, a simple qualitative analysis can effectively shrink the search space to the best performing architectures. This conclusion is based on our investigation of existing training-free metrics and new metrics developed from recent transformer pruning literature, evaluated on our own benchmark of trained BERT architectures. Ultimately, our analysis shows that the architecture search space and the training-free metric must be developed together in order to achieve effective results.Comment: Code is available at https://github.com/aaronserianni/training-free-na