Results 81 to 90 of about 83,974 (281)

Model-Agnostic Meta-Learning using Runge-Kutta Methods

, 2019
Meta-learning has emerged as an important framework for learning new tasks from just a few examples. The success of any meta-learning model depends on (i) its fast adaptation to new tasks, as well as (ii) having a shared representation across similar tasks. Here we extend the model-agnostic meta-learning (MAML) framework introduced by Finn et al. (2017)
Im, Daniel Jiwoong, Jiang, Yibo, Verma, Nakul   +2 more
openaire   +2 more sources

The impacts of biological invasions

Biological Reviews, EarlyView.
ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock, Teun Everts, Neil Angelo S. Abreo, Jamie Bojko, Victor Deklerck, James W. E. Dickey, Ana Clara S. Franco, Emili García‐Berthou, Stelios Katsanevakis, Natalia I. Kirichenko, Stefano Mammola, Martin A. Nuñez, Ben Parker, Riccardo Scalera, Ismael Soto, Diederik Strubbe, Ali Serhan Tarkan, Lorenzo Vilizzi, Tim Adriaens, Paride Balzani, Dagmara Błońska, Elizabeta Briski, Rein Brys, Amy L. Burgess, James E. Byers, Carlos Cano‐Barbacil, Giuseppe Castaldelli, Jaimie T.A. Dick, Victoria Dominguez Almela, Romina D. Dimarco, Margarita Florencio, Antonín Kouba, Melina Kourantidou, Irmak Kurtul, Irene Martín‐Forés, Olivier Morissette, Julian D. Olden, Bruno E. Soares, Jakub Truszkowski, Hugo Verreycken, Marc Kenis, Ronaldo Sousa, J. Robert Britton   +42 more
wiley   +1 more source

Advancing Sustainable Development in Manufacturing: A Strategic Framework for Overcoming Green–Lean Implementation Barriers

Business Strategy and the Environment, EarlyView.
ABSTRACT Manufacturing's transition to sustainable development depends on integrating green with lean under credible environmental policy and stakeholder engagement. Although benefits are well established, the literature underspecifies implementation barriers and their prioritisation. This study identifies, structures, and prioritises barriers to green–
Jose Arturo Garza‐Reyes, Andrew Defanto, Ranjit Roy Ghatak, Rohit Joshi, Walid al Saad   +4 more
wiley   +1 more source

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning

, 2021
Model-agnostic meta-learning (MAML) has emerged as one of the most successful meta-learning techniques in few-shot learning. It enables us to learn a meta-initialization} of model parameters (that we call meta-model) to rapidly adapt to new tasks using a small amount of labeled training data.
Wang, Ren, Xu, Kaidi, Liu, Sijia, Chen, Pin-Yu, Weng, Tsui-Wei, Gan, Chuang, Wang, Meng   +6 more
openaire   +2 more sources

Do Environmental Certifications Pay? A Bibliometric and Systematic Review of Environmental Management Systems and Eco‐Label Impacts

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper investigates how environmental certifications—specifically, formal environmental management systems (EMSs) (ISO 14001, EMAS), and consumer‐facing eco‐labels—influence firm financial performance. Using a dual approach that includes a bibliometric review and a systematic analysis of key studies, we identify key trends, theoretical ...
Alberto Citterio
wiley   +1 more source

Deep Image Clustering with Model-Agnostic Meta-Learning

Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Deep clustering has proven successful in analyzing complex, high-dimensional real-world data. Typically, features are extracted from a deep neural network and then clustered. However, training the network to extract features that can be clustered efficiently in a semantically meaningful way is particularly challenging when data is sparse. In this paper,
Bjerge, Kim, Bodesheim, Poul, Karstoft, Henrik   +2 more
openaire   +3 more sources

Exploring the Similarity of Representations in Model-Agnostic Meta-Learning

, 2021
In past years model-agnostic meta-learning (MAML) has been one of the most promising approaches in meta-learning. It can be applied to different kinds of problems, e.g., reinforcement learning, but also shows good results on few-shot learning tasks. Besides their tremendous success in these tasks, it has still not been fully revealed yet, why it works ...
Goerttler, Thomas, Obermayer, Klaus
openaire   +2 more sources

Addressing the Attitude Behaviour Perception Gap—Multimethod Sustainable Tourist Behaviour Evaluation

Business Strategy and the Environment, EarlyView.
ABSTRACT Quantitative and perceptual studies have been used to define and model sustainable tourist behaviour in past years, but few studies have undertaken qualitative research of actual behaviour to delve deeper into understanding the different classifications of such behaviour. This research employed a three‐phase design, comprising a pretrip survey,
Rachel Dodds, Mark Robert Holmes
wiley   +1 more source

Green Is the New Gold: Redefining Opulent Lifestyle Through Organic Food Purchases

Business Strategy and the Environment, EarlyView.
ABSTRACT Prior studies based on the Theory of Planned Behavior mostly examined the effects of health and environmental concerns on organic food consumption; however, few addressed the paradoxical relationships in the context of opulent or symbolic decorum.
Neha Sharma, Swati Singh, Agnieszka Kabalska, Ralf Wagner   +3 more
wiley   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source