There are 4 repositories under curriculum-learning topic.
A curated list of resources about Machine Learning for Robotics
[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
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.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Curriculum Learning related papers and materials
Curriculum Learning - Tensorflow
A curated list of free courses from reputable universities that meet the requirements of an undergraduate curriculum in Data Science, excluding general education. With projects, supporting materials in an organized structure.
[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
Implementation of "Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel" paper (ICC 2023)
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.
stable-baselines3 reinforcement learning on SUMO traffic light system
[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""
Hadwritten Text Recognition in Few-shot Scenario
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)
[NeurIPS 2022, Neuron 2024] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022
Official code repository for CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).
reimplementing Neural Summarization by Extracting Sentences and Words
RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoration (CLR) problem.
Distilling Knowledge via Intermediate Classifiers
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.
A multi-stage graph neural network classification pipeline for protein meshes.
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
Code for ACL22 short Paper "Hierarchical Curriculum Learning for AMR Parsing"
Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.
Code & data for the EMNLP 2024 paper: Is Child-Directed Speech Effective Training Data for Language Models?
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Instructor version of the GeoSMART curriculum book for ESS 469/569