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MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
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tensorflow-mamlTensorFlow 2.0 implementation of MAML.
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Mutual labels: maml, meta-learning
maml-tensorflowThis repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
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PAMLPersonalizing Dialogue Agents via Meta-Learning
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mliisCode for meta-learning initializations for image segmentation
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How-To-Start-A-Startup"How to Start a Startup" is the Y Combinator class made by real entrepreneurs
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FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
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Mutual labels: meta-learning
pymfePython Meta-Feature Extractor package.
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meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
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TaskRouting(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html
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Mutual labels: multitask-learning
Recurrent Interaction Network EMNLP2020Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.
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Mutual labels: multitask-learning
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Mutual labels: meta-learning
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
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Meta-DETRMeta-DETR: Official PyTorch Implementation
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SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
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MetaHeacThis is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
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Mutual labels: meta-learning