115 skills found · Page 1 of 4
Vision-Intelligence-and-Robots-Group / Best Incremental LearningAn Incremental Learning, Continual Learning, and Life-Long Learning Repository
RaptorMai / Online Continual LearningA collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).
EnnengYang / Awesome Forgetting In Deep LearningA Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
ZixuanKe / PyContinualPyContinual (An Easy and Extendible Framework for Continual Learning)
ariseff / Overcoming CatastrophicImplementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
UIC-Liu-Lab / ContinualLMAn Extensible Continual Learning Framework Focused on Language Models (LMs)
kuc2477 / Pytorch EwcUnofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
LAMDA-CL / CIL SurveyClass-Incremental Learning: A Survey (TPAMI 2024)
joansj / HatOvercoming catastrophic forgetting with hard attention to the task
chrhenning / HyperclContinual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
shivamsaboo17 / Overcoming Catastrophic Forgetting In Neural NetworksElastic weight consolidation technique for incremental learning.
LAMDA-CL / RevisitingCILRevisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
kshmelkov / Incremental DetectorsCode release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"
LAMDA-CL / CVPR22 FactForward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
hi-fengtao / ERDOvercoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
tyler-hayes / REMINDPyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
kibok90 / Iccv2019 IncICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
imirzadeh / Stable Continual LearningTowards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
goodfeli / ForgettingRepository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"
yashkant / Elastic Weight ConsolidationThis is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
