Results 11 to 20 of about 1,429,141 (363)
Gradientes latitudinales de diversidad inversos, ¿excepciones que prueban la regla?
Ecosistemas, 2014 La mayoría de grupos taxonómicos siguen un Gradiente Latitudinal de Diversidad y son más diversos cuanto más nos acercamos a los trópicos. Sin embargo, existen notables excepciones a este patrón capaces de proporcionar información adicional acerca de los
Ignacio Morales Castilla +1 more
doaj +2 more sources
Anales del Instituto de la Patagonia, 2021 La Reserva de Biosfera Cabo de Hornos (RBCH) alberga una biodiversidad y tipos de ecosistemas únicos a nivel mundial. Éstos han sido mucho menos estudiados que sus homólogos, los ecosistemas subpolares del hemisferio norte. El objetivo de este trabajo es
Francisco Aguirre +8 more
semanticscholar +1 more source
Automatic Prompt Optimization with "Gradient Descent" and Beam Search [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Large Language Models (LLMs) have shown impressive performance as general purpose agents, but their abilities remain highly dependent on prompts which are hand written with onerous trial-and-error effort. We propose a simple and nonparametric solution to
Reid Pryzant +5 more
semanticscholar +1 more source
Transformers learn in-context by gradient descent [PDF]
International Conference on Machine Learning, 2022 At present, the mechanisms of in-context learning in Transformers are not well understood and remain mostly an intuition. In this paper, we suggest that training Transformers on auto-regressive objectives is closely related to gradient-based meta ...
J. Oswald +6 more
semanticscholar +1 more source
Exploring Simple Siamese Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2020 Siamese networks have become a common structure in various recent models for unsupervised visual representation learning. These models maximize the similarity between two augmentations of one image, subject to certain conditions for avoiding collapsing ...
Xinlei Chen, Kaiming He
semanticscholar +1 more source
A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
IEEE Access, 2022 Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models.
Ibomoiye Domor Mienye, Yanxia Sun
semanticscholar +1 more source
When and why PINNs fail to train: A neural tangent kernel perspective [PDF]
Journal of Computational Physics, 2020 Physics-informed neural networks (PINNs) have lately received great attention thanks to their flexibility in tackling a wide range of forward and inverse problems involving partial differential equations.
Sifan Wang, Xinling Yu, P. Perdikaris
semanticscholar +1 more source
Revista de geografía Norte Grande, 2019 La asignacion de categorias espaciales arbitrarias en los analisis de paisaje es un factor limitante al interpretar procesos socio-ecologicos que ocurren de forma continua en el paisaje.
G. Vergara, J. T. Ibarra
semanticscholar +1 more source
Nativa, 2016 A variação de altitude e a proximidade de corpos hídricos influenciam a composição e estrutura de assembleias de palmeiras na Amazônia. O presente estudo teve como objetivo compreender os efeitos desses gradientes ambientais na composição florística e ...
Jefferson Peixoto Gomes +6 more
semanticscholar +1 more source
CSPNet: A New Backbone that can Enhance Learning Capability of CNN [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on costly computation resources, which hinders people with cheap devices from ...
Chien-Yao Wang +5 more
semanticscholar +1 more source