#weaklysupervisedlearning - Twitter Hashtag

about 2 years ago

Interested in #weaklysupervisedlearning #uncertaintyquantification #conformalprediction and related topics in ML? Then consider joining in the WSCL workshop, a joint event with @ecai2024 ! For additional info you can look at https://t.co/Hj5cMqp6tF or drop me a direct message!

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Zhe Zeng @zhezeng0908

over 2 years ago

Using probabilistically sound objectives improves #WeaklySupervisedLearning 🤩 We’ll present this work at #NeurIPS in person and be happy to chat!

VINAY SHUKLA @vinay_l_shukla

over 2 years ago

Many approaches to weakly supervised learning are ad hoc, inexact, and limited in scope 😞. We propose Count Loss 🎉, a simple ✅, exact ✅, differentiable ✅, and tractable ✅ means of unifying count-based weakly supervised settings! See at NeurIPS 2023!

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amulet @amulet26757496

over 3 years ago

Combining WeakMeSH with a simple multi-label learning method leads to promising results. 5/5 We are grateful for the support from @ELIDEK_HFRI. Paper: https://t.co/X5CRht7mS3 GitHub repo: https://t.co/wVV3D5982H #biomedicalinformatics #NLP #weaklysupervisedlearning #MeSH

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WiMLDS Paris @WiMLDS_Paris

about 4 years ago

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Weakly-supervised segmentation of referring expressions" by Robin Strudel, Ivan Laptev @CordeliaSchmid https://t.co/Usqex1LAj9 #WeaklySupervisedLearning #vision #language #WiMLDSParis #WiMLDS

WiMLDS_Paris's tweet photo. [#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris]

"Weakly-supervised segmentation of referring expressions" by Robin Strudel, Ivan Laptev @CordeliaSchmid

https://t.co/Usqex1LAj9

#WeaklySupervisedLearning #vision #language #WiMLDSParis #WiMLDS https://t.co/KwTKqbu1Sd

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CLARIFY Project @clarify_project

about 4 years ago

“Content Based Image Retrieval and weak labels in the deep learning era” 🎙️Speaker: Kjersti Engan (@KjerstiEngan) – University of Stavanger @UniStavanger #imageretrival #weaklysupervisedlearning #deeplearning

clarify_project's tweet photo. “Content Based Image Retrieval and weak labels in the deep learning era”

🎙️Speaker: Kjersti Engan (@KjerstiEngan) – University of Stavanger @UniStavanger

#imageretrival #weaklysupervisedlearning #deeplearning https://t.co/ZXkSm2HLPH

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Salim Azak ICRA2026 🛫🛬🏠

@salimazak

over 5 years ago

"Towards A Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation" @ieee PAMI article Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, Luc Van Gool https://t.co/cv6S6W2OLZ #WeaklySupervisedLearning

salimazak's tweet photo. "Towards A Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation"
@ieee PAMI article
Qinghao Meng, Wenguan Wang, Tianfei Zhou,
Jianbing Shen, Yunde Jia, Luc Van Gool
https://t.co/cv6S6W2OLZ
#WeaklySupervisedLearning https://t.co/uhqHWW67NG

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Peter Naftaliev

@peternaft

over 5 years ago

Explainable, Adaptive, and Cross-Domain Few-Shot Learning - Dr. Leonid Karlinsky Part 1 - https://t.co/MHhsUqSfyr #DeepLearning #MachineLearning #2d #3d #NeuralNetworks #2d3dai #fewshotlearning #weaklysupervisedlearning #ECCV2020 #AAAI2021

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Jose Dolz @josedolz_ets

almost 6 years ago

The schedule of our MICCAI tutorial on weakly supervised segmentation with CNNs already online https://t.co/lOtTLpYFSn #MICCAI #Weaklysupervisedlearning #segmentation

josedolz_ets's tweet photo. The schedule of our MICCAI tutorial on weakly supervised segmentation with CNNs already online

https://t.co/lOtTLpYFSn

#MICCAI #Weaklysupervisedlearning #segmentation https://t.co/JER4MGVJXq

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Martin Jones @martinjones78

over 6 years ago

.@Lastu21 from @FIMM_UH on using #WeaklySupervisedLearning for learning representations of microscopy images (Following from https://t.co/2kNUiR0BUr) #neubiasBordeaux #Neubias

martinjones78's tweet photo. .@Lastu21 from @FIMM_UH on using #WeaklySupervisedLearning for learning representations of microscopy images

(Following from https://t.co/2kNUiR0BUr)

#neubiasBordeaux #Neubias https://t.co/BbmWxe9jCA

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Rik Walters @rikwalters

almost 7 years ago

How Facebook is Using Machine Learning to Map the World Population https://t.co/nCbeyee9fd via @VisualCap #CIESIN #WorldProject #population #MachineLearning #ML #IoT #RT #Facebook #humandata #bigdata #BusinessIntelligence #makeyourownlane #defstar5 #weaklysupervisedlearning

rikwalters's tweet photo. How Facebook is Using Machine Learning to Map the World Population https://t.co/nCbeyee9fd

via @VisualCap

#CIESIN #WorldProject #population #MachineLearning #ML #IoT #RT #Facebook #humandata #bigdata #BusinessIntelligence #makeyourownlane #defstar5 #weaklysupervisedlearning https://t.co/jODM4ny2RD

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Aditya Arun @adityaarun1

about 7 years ago

I am super excited to present our paper "Dissimilarity Coefficient based Weakly Supervised Object Detection" @cvpr2019 Find out more: https://t.co/At6bPLOSp3 #cvpr2019 #ObjectDetection #WeaklySupervisedLearning

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DiWork Soluciones TI @DiWorkBsAs

about 7 years ago

What is #MachineLearning and why should I care? https://t.co/BwnH5y0LQN #ML #algorithms #SupervisedLearning #WeaklySupervisedlearning #UnsupervisedLearning #ReinforcementLearning

DiWorkBsAs's tweet photo. What is #MachineLearning and why should I care? https://t.co/BwnH5y0LQN #ML #algorithms #SupervisedLearning #WeaklySupervisedlearning #UnsupervisedLearning #ReinforcementLearning https://t.co/5Rnf4cUHeR

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