There are 4 repositories under curriculum-learning topic.
A curated list of resources about Machine Learning for Robotics
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
Implement many Sparse Reward algorithms in Gym Fetch environment
Awesome list for Neural Network Optimization methods.
Curriculum Learning related papers and materials
Curriculum Learning - Tensorflow
[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
Code for the paper "Curriculum Dropout", ICCV 2017
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020)
reimplementing Neural Summarization by Extracting Sentences and Words
Hadwritten Text Recognition in Few-shot Scenario
Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).
Distilling Knowledge via Intermediate Classifiers
Uma lista com curadoria de cursos gratuitos de universidades conceituadas que atendem aos requisitos de um currĂculo de graduação em CiĂŞncia de Dados, menos educação geral. Com projetos, materiais de apoio em uma estrutura organizada.
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
Code for ACL22 short Paper "Hierarchical Curriculum Learning for AMR Parsing"
[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""
Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
[NeurIPS 2022] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022
Configurable Curriculum Learning Domain for Reinforcement Learning Agents. As specified by [Narvekar, Sanmit, Jivko Sinapov, and Peter Stone. "Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning." IJCAI. 2017.]
Code implementing various Curriculum Learning training strategies in order to accelerate the training convergence of CNNs used for Image Recognition tasks.
Memory-aware curriculum federated learning for breast cancer classification. Computer Methods and Programs in Biomedicine.
Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.
Continuation methods of Deep Neural Networks optimization, deep-learning, homotopy, bifurcation-analysis, continuation
Curriculum Design through Bayesian Optimization to train RL agents for the purpose of autonomous racing in the OpenAI Gym CarRacing Environment