Results 11 to 20 of about 15,464,746 (377)
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning [PDF]
International Conference on Machine Learning, 2023 We study the design decisions of publicly available instruction tuning methods, and break down the development of Flan 2022 (Chung et al., 2022). Through careful ablation studies on the Flan Collection of tasks and methods, we tease apart the effect of ...
S. Longpre +10 more
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UAV-Assisted Data Collection for Internet of Things: A Survey [PDF]
IEEE Internet of Things Journal, 2022 Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural plant protection, environment monitoring, and so on. With the development of UAV
Zhiqing Wei +7 more
semanticscholar +1 more source
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions [PDF]
Scientific Data, 2018 Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available datasets of dermatoscopic images. We tackle this problem by releasing the HAM10000 (“Human Against Machine with
P. Tschandl, C. Rosendahl, H. Kittler
semanticscholar +1 more source
Beyond collective intelligence: Collective adaptation [PDF]
Journal of The Royal Society Interface, 2022 We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration strategies, social environments and problem structures. Going beyond searching for ‘intelligent’ collectives, we integrate research from different disciplines and outline modelling approaches that
Mirta Galesic +19 more
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COVID-19 Image Data Collection: Prospective Predictions Are the Future [PDF]
The Journal of Machine Learning for Biomedical Imaging, 2020 Across the world’s coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main imaging tools, chest X-rays (CXRs) are common, fast, non-invasive, relatively
Joseph Paul Cohen +5 more
semanticscholar +1 more source
Approaching Collectivity Collectively: A Multi-Disciplinary Account of Collective Action [PDF]
Frontiers in Psychology, 2021 There has been considerable progress in investigating collective actions in the last decades. However, the real progress is different from what many scholars take it to be. It lies in the fact that there is by now a wealth of different approaches from a variety of fields. Each approach has carved out fruitful mechanisms for explaining collective action,
Thonhauser, Gerhard, Weichold, Martin
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection [PDF]
Int. J. Robotics Res., 2016 We describe a learning-based approach to hand-eye coordination for robotic grasping from monocular images. To learn hand-eye coordination for grasping, we trained a large convolutional neural network to predict the probability that task-space motion of ...
S. Levine +3 more
semanticscholar +1 more source
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding [PDF]
European Conference on Computer Vision, 2016 Computer vision has a great potential to help our daily lives by searching for lost keys, watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision methods need to be trained from real and diverse examples of our daily ...
Gunnar A. Sigurdsson +5 more
semanticscholar +1 more source
Reflections on Collective Collections
College & Research Libraries, 2020 Collective collections are multiple local collections described and/or managed as a single collection. Constructing, understanding, and operationalizing collective collections is an increasingly important aspect of collection management for many libraries.
Lavoie, Brian +2 more
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Journal of Political Economy, 2018 We consider collective decisions made by agents whose preferences and power depend on past events and decisions. Faced with an inefficient equilibrium and an opportunity to commit to a policy, can the agents reach an agreement on such a policy? Under an intuitive condition linking power structures in the dynamic setting and at the commitment stage, the
Christian Roessler +2 more
openaire +5 more sources