PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

Related tags

Deep Learning lifelong-learning continual-learning
Overview

Adam-NSCL

This is a PyTorch implementation of Adam-NSCL algorithm for continual learning from our CVPR2021 (oral) paper:

Title: Training Networks in Null Space of Feature Covariance for Continual Learning

Authors: Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu

Email: [email protected]; [email protected]

Arxiv: https://arxiv.org/pdf/2103.07113

Usage

sh scripts_svd/adamnscl.sh

Requirements: Python 3.7, PyTorch=1.5,tensorboardX

Citation

@InProceedings{Wang_2021_CVPR,
    author    = {Wang, Shipeng and Li, Xiaorong and Sun, Jian and Xu, Zongben},
    title     = {Training Networks in Null Space of Feature Covariance for Continual Learning},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {184-193}
}
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Comments
  • A small query regarding baselines

    A small query regarding baselines

    Hi @ShipengWang,

    Thank you for your amazing work. This is indeed great that you have shared the code too.

    I had two queries, and it would be very kind of you if you could answer these:

    • What is the memory size (in terms of number of images per task) for the baselines that use exemplar replay (GD-WILD, GEM, A-GEM and MEGA)?
    • Were all the baselines reimplemented?

    Thanks, Joseph

    opened by JosephKJ 3
  • KeyError: 'lam'

    KeyError: 'lam'

    当我运行你们的代码时，碰到了下面的问题，请问是什么原因导致的呢？ Traceback (most recent call last): File "main.py", line 237, in acc_table, task_names = run(args) File "main.py", line 101, in run agent.train_task(train_loader, val_loader) File "/home/slcheng/code/Adam-NSCL-main/svd_agent/svd_agent.py", line 61, in train_task self.train_model(train_loader, val_loader) File "/home/slcheng/code/Adam-NSCL-main/svd_agent/agent.py", line 170, in train_model losses, acc = self.train_epoch(train_loader, epoch, count_cls_step) File "/home/slcheng/code/Adam-NSCL-main/svd_agent/agent.py", line 135, in train_epoch self.model_optimizer.step() File "/home/slcheng/anaconda3/envs/votenet/lib/python3.7/site-packages/torch/optim/lr_scheduler.py", line 36, in wrapper return func(*args, **kwargs) File "/home/slcheng/code/Adam-NSCL-main/optim/adam_svd.py", line 80, in step lam = group['lam'] KeyError: 'lam'

    opened by chengsilin 1
Owner
Shipeng Wang
Shipeng Wang
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