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Configuring a moderately large number (5-10) of input variables for *Active Learning* will fail as the search space no longer fits into memory. **Required by:** MEPHIT (#174)
`SimpleAL` uses a mesh…
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### Description
I've been thinking a ways to evaluate out active learning training phases (mentioned in #29). We have currently trained a baseline model based on the good quality (✅ ) segmentations a…
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Something like Scale's Nucleus, or this open source one https://voxel51.com/fiftyone/ or something with https://github.com/facebookresearch/faiss for finding very different examples and seeing where t…
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I believe there is a bug in this [line](https://github.com/INK-USC/AlpacaTag/blob/ce04045b999c5f9af29db7da10120ae0271c1b11/alpaca_server/alpaca_model/pytorchAPI/active_learning/acquisition.py#L71) in …
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hello, I noticed there is a big focus on uncertainty based sampling and information density based sampling techniques which is very nice. but in batch mode active learning, when several data points ar…
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# Active Learning Maximal Expected Error Reduction | Sachin Yadav
A programming introduction to Expected Error Reduction Query Strategy in Active Learning with State Vector Machine Model.
[https://y…
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You can now use Roboflow to organize, label, prepare, version, and host your datasets for training YOLOv5 🚀 models. Roboflow is free to use with YOLOv5 if you make your workspace public. UPDATED 30 Se…
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https://arxiv.org/pdf/1701.03551
Recent successes in learning-based image classification, however, heavily rely on the large number of annotated training samples, which may require considerable hum…
leo-p updated
7 years ago
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The purpose of the implementation of [this script](https://github.com/cesmix-mit/AtomisticComposableWorkflows/blob/master/ActiveLearning/naive-active-learning.jl) is to define a basic active learning …
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Hello,
QnA Maker service supports active learning in run-time by providing best n matches to the user and allowing the end user to select the right question. How do we support that using QnAMakerDi…