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1000 results for “OpenRefine”
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Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role ...
Rishi Sonthalia, Raj Rao Nadakuditi
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Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Action editor: Sivan Sabato.
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Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone
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Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone
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Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone
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Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone
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Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone
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Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep ...
Jarrod Haas, William Yolland, Bernhard T Rabus
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Implementing and caring for open standards is the core of our work at @okfn – e.g. #opendefinition, #frictionlessdata, #opendatacommons etc. Now, in a key moment for democracies worldwide, we are turning our attention to electoral processes 🧵
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It's starting in two hours! Come on in! #Wikimania #OpenDefinition #Wikidata #FrictionlessData
1️⃣ https://eventyay.com/e/8f889410/session/8324
2️⃣ https://eventyay.com/e/8f889410/session/8325 -
We are very proud ✨ to be one of the supporting partners of the annual #Wikimedia2023 global conference, this year in #Singapore 🇸🇬 from 16-19 August.
Stay tuned for schedule details coming 🔜 – @okfn will host 2️⃣ online sessions, on the #OpenDefinition and on #FrictionlessData.
Register now: https://eventyay.com/e/8f889410?code=PartnershipsWM2023
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Save the dates!
#Wikimania 16-19 August – OKFN is running two sessions at #Wikimania #Singapore 🇸🇬 about #FrictionlessData and the #OpenDefinition – stay tuned for the programme to be announced in the next weeks. 👉🏾 https://wikimania.wikimedia.org/wiki/2023:Wikimania
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A thought from 2016.
It took us nine years and a bit. In retrospect, I think we held out pretty long.
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What's going on with this #ICLR paper?
The metareview says that the authors provided a sound rebuttal and update to the paper, but neither are available (rebuttals are shown on other papers).
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Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao et al.
Action editor: Yanwei Fu.
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Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala, Samuel Stern Schoenholz, Jeffrey Pennington, Yann Dauphin
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desde hace unos meses en #WikimedistasDeUruguay estamos subiendo a Wikimedia Commons las imágenes que publica la Sala de Medios de la IM. Eso está bueno porque muchas personas, lugares y eventos de interés ahora está más a la mano para que wikipedistas y wikidateros encuentren las fotos y las utilicen para ilustrar contenidos. además, en Wikimedia Commons todes podemos colaborar para enriquecer las fotos con datos y descripciones.
acá hay un posteo sobre cómo encaramos esta subida https://wikimedistas.uy/2025/01/27/como-subimos-mas-de-40-mil-imagenes-de-sala-de-medios-a-wikimedia-commons/
mantener las fotos actualizadas es un proceso que se hace mes a mes y está en gran parte automatizado, pero necesita revisión manual. si les interesa saber cómo contribuir con esta tarea, me escriben! es una buena oportunidad para encontrar fotos para artículos de wikipedia, aumentar tu cantidad de contribuciones a Commons y/o aprender a usar #Openrefine
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Do you enjoy turning #raster icons into #vector_graphics? We could do with some help to migrate our UI to #SVG icons! See the list here: https://github.com/OpenRefine/OpenRefine/issues/6538 #inkscape #wikicommons
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♥️ Es ist Love Data Week! Vom 09.-13. Februar feiert die die internationale Aktionswoche alles rund um die Themen Forschungsdaten und Forschungsdatenmanagement, um mehr Aufmerksamkeit für das Thema zu erregen. Auch die Weizenbaum-Forscher Dietmar Kammerer & Jan Haase sind mit einer Veranstaltung vertreten. Sie geben eine Einführung in Datenbereinigung mit OpenRefine.
📅 12.02.2026, 10:00-12:00 Uhr
📍 Online
👉 Jetzt anmelden: https://ldw-bbb.de/#einfuehrung-in-datenbereinigung-mit-openrefine -
lors de #LibreABC2025
Instructif atelier sur les fonctions avancées de #OpenRefine donné par @timtom et @liowalter
Sujets :
- Enrichissement via reconciliation
- Enrichissement via API
- Enrichisssement via HTML (avec post-traitement #LLM/#IA)Présentation : https://github.com/liowalter/open-refine-libreabc2025
6/n
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Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Compo...
Hong-Xing Yu, Michelle Guo, Alireza Fathi et al.
Action editor: Li Fuxin.
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Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference 👌
🌍 https://openreview.net/forum?id=FLFasCFJNo
#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN
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Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference 👌
🌍 https://openreview.net/forum?id=FLFasCFJNo
#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN
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Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference 👌
🌍 https://openreview.net/forum?id=FLFasCFJNo
#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN
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Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference 👌
🌍 https://openreview.net/forum?id=FLFasCFJNo
#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN
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Reinforcement Teaching
Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo
Action editor: Marcello Restelli.
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A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification
Alan Q. Wang, Mert R. Sabuncu
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Boosting Search Engines with Interactive Agents
Leonard Adolphs, Benjamin Börschinger, Christian Buck et al.
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A Systematic Approach to Universal Random Features in Graph Neural Networks
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer
Action editor: Rémi Flamary.
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V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li, Isabel Maria Cornacchia, Nathalie Rochefort, Arno Onken
Action editor: Simon Kornblith.