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1000 results for “OpenRefine”
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Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
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Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
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Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
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Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
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DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis
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DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis
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DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis
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DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis
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Detecting incidental correlation in multimodal learning via latent variable modeling
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
Action editor: Thang Bui.
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High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-M...
Paul Pu Liang, Yiwei Lyu, Xiang Fan et al.
Action editor: Brian Kingsbury.
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PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski et al.
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Modelling sequential branching dynamics with a multivariate branching Gaussian process
Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
Action editor: Patrick Flaherty.
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📣 Final call! BioC2026 abstract submissions are closing soon.
Don't miss your chance to share your work and be part of the Bioconductor community at BioC2026. Submissions are welcome for workshops, posters, package demos, and short talks highlighting tools, research, and workflows in open-source bioinformatics.
⏰ Deadline: 20 March 2026
📍 BioC2026: 10–12 August 2026 | Seattle, WA, USA👉 Submit your abstract now:https://openreview.net/group?id=bioconductor.org/BioC/2026/Conference#tab-recent-activity
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📣 The BioC2026 Call for Abstracts deadline has been extended.
Good news! There’s still time to submit your work and be part of BioC2026. We welcome submissions for workshops, posters, package demos, and short talks that showcase tools, research, and workflows advancing open-source bioinformatics.
⏰ New submission deadline: 20 March 2026
📍 BioC2026: 10-12 August 2026 | Seattle, WA, USA👉 Submit your abstract here: https://openreview.net/group?id=bioconductor.org/BioC/2026/Conference#tab-recent-activity
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🎉 We’re delighted to share that Ting Ye will be joining BioC2026 as a keynote speaker!
Ting Ye is an Assistant Professor in Biostatistics whose research advances human health through data-driven discovery and quantitative medical research.
📍 Join us in Seattle, 10–12 August 2026
🚨Have work to share? Abstract submissions are open!
Submit here: https://openreview.net/group?id=bioconductor.org/BioC/2026/Conference#tab-recent-activityLearn more about BioC2026: bioc2026.bioconductor.org
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📢 Deadline Extended: EuroBioC2026 Call for Abstracts
Great news! The submission deadline for EuroBioC2026 has been extended to February 13, 2026, to allow more time for submissions.
We welcome submissions for:
💡 Short talks (10 minutes + Q&A)
💡 Posters (A0 portrait)
💡 Workshops (1.5-hour hands-on sessions)👉 Submit your abstract here: https://openreview.net/group?id=bioconductor.org/EuroBioC/2026/Conference#tab-recent-activity
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🚀 EuroBioC2026 – Call for Abstracts is Now Open!
We invite submissions for short talks, posters, and workshops for EuroBioC2026.
🗓️ Important Dates
• 30 January 2026: Call closes👉 Submit your abstract here: https://openreview.net/group?id=bioconductor.org/EuroBioC/2026/Conference
⚠️ Note: The OpenReview submission system requires all submitters to create an account at least two weeks before the abstract deadline. Please register early to avoid issues
For any questions, contact [email protected]
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Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
Action editor: Vikas Sindhwani.
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KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation
Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han
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https://ec.europa.eu/commission/presscorner/detail/en/ip_23_4328
#tech #DMA #DigitalMarketsAct #Google #Android #Apple #Amazon #Facebook #Meta #TikTok #Bytedance #EC #EuropeanCommission #androiddeveloper #androiddevelopment #opensource #privacy #ESG #competition #eos #Murena #ospo #graphhopper #stadiamaps #MapLibre #QwantMaps #OsmAnd #OrganicMaps #OpenStreetMap #Mojeek #OpenReviews #Maptiler #NextcloudMaps #Leaflet
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Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill, Neset TAN, Michael Witbrock, Patricia J. Riddle
Action editor: Karthik Narasimhan.
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Inherent Limits on Topology-Based Link Prediction
Justus Isaiah Hibshman, Tim Weninger
Action editor: Laurent Massoulié.
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The Graph Cut Kernel for Ranked Data
Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar
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@JKLund @copim @siusoon @lozross @openreflections @simonxix @Rebekka_Kie @Simon @zBlace
Also helpful in understanding what some of us mean by 'experimental' is this description of Clarice Lispector's later work, especially The Hour of the Star and The Passion of G.H.:
'Resisting both the experimental writing that could be experienced as mere aesthetic or wordplay and the kind of "identitarian" writing that serves to categorize writers by their identity, Lispector's work does neither'.
It's comes from the last chapter of Cynthia Cruz's 2021 book for Repeater: The Melancholia of Class: A Manifesto for the Working Class.
#OAbooks #openaccess
#ExperimentalPublishing
#books #experimentalwriting
#lispectorhttps://repeaterbooks.com/product/the-melancholia-of-class-a-manifesto-for-the-working-class/
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Subgraph Permutation Equivariant Networks
Joshua Mitton, Roderick Murray-Smith
Action editor: Guillaume Rabusseau.
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You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Action editor: Bo Han.
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Ok, ich habe gerade Gott normalisiert.
#OpenRefine #DataCleansing -
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
Action editor: Pierre Alquier.
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Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
Action editor: Pierre Alquier.
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Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
Action editor: Pierre Alquier.