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If you are up early tomorrow, come to my talk at #CVPR2019 workshop on Vision With Biased or Scarce Data https://wvbsd.github.io/2019/ I will show our recent results on detecting hard examples using a new angular distance measure. Also talk about many ways to reduce our data reqs
Co-authors @BeidiChen @animesh_garg @Anshumali_ Zhiding Weiyung on detecting hard examples @NvidiaAI Active learning with @HuPeiyun @zacharylipton Deva Ramanan. Crowdsourcing with Ashish Khetan @zacharylipton Semi-supervised learning with neural rendering @TanNguyen689 Nhat Ho..
Otherwise you can attend my talk at 10:30AM tomorrow at #CVPR2019 workshop on semantic information https://sites.google.com/view/wsi-2019/ on Beyond Black-Boxes: Embedding Semantic Structures into Learning
#tensor operations in #NeuralNetworks lead to compression @JeanKossaifi @zacharylipton @furlanel @arankhanna #tensor-train LSTMs are much better for long-term #forecasting @yuqirose @StephanZheng @yisongyue + video prediction Jiahao Wonmin @furongh @jankautz @NvidiaAI
Other ways to add semantic structure into learning: blending symbolic expressions with data and learning common embeddings @ForoughArabsha1 Sameer Singh. Adding learning to control while retaining stability: @yisongyue @GuanyaShi Anqi Liu Soon Jo Chung @kazizzad @yuqirose
Will it be recorded?
Was about to ask if active learning is part of the talk. Your subsequent tweets clarified that. Nice work.
Damn, will these sessions be recorded or otherwise documented? It's really relevant to my research!
Are the talks going to be recorded? Would be great to see them!
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