yaoyao-liu/class-incremental-learning

Issues

• Implementations of Mnemonics training

  #47 opened a year ago by zqiao11
  4

• some bugs

  #35 opened 3 years ago by xiaozhenxu
  3

• training hyperparamters for imagenet1000?

  #46 opened 2 years ago by zyuh
  2

• About initializing learnable parame φi and ηi

  #45 opened 2 years ago by zjy359
  4

• Save model in PODNET repo

  #44 opened 2 years ago by ahsan856jalal
  1

• Kindly explain a little about the results terms and accuracy matching

  #42 opened 2 years ago by castlezone
  8

• PODNET-AAN Related experiment running issue!

  #43 opened 2 years ago by castlezone
  4

• training problem

  #40 opened 3 years ago by vision-heng
  9

• Inquiries about the comparison between mnemonics and baseline

  #41 opened 3 years ago by tingxueronghua
  2

• How to save the model of each stage

  #21 opened 3 years ago by cc19970821
  3

• size of trainloader

  #39 opened 3 years ago by Catecher98
  4

• question about `modified_linear.py`

  #38 opened 3 years ago by letme-hj
  2

• `BaseTrainer.init_current_phase_dataset` returning two `Y_valid_cumuls`

  #37 opened 3 years ago by letme-hj
  2

• Code for T-SNE in the mnemonics paper

  #36 opened 3 years ago by ashok-arjun
  4

• This is a very strange question

  #34 opened 3 years ago by shuaiwang2022
  1

• ValueError: signal number 32 out of range

  #33 opened 3 years ago by tokaka22
  1

• Running errors

  #32 opened 3 years ago by gujinjing
  3

• Paper uses dynamic budget, but repository recommends fixed?

  #30 opened 3 years ago by ashok-arjun
  2

• Question about exemplar selection code

  #31 opened 3 years ago by ashok-arjun
  2

• How are the hyperparameters tuned?

  #29 opened 3 years ago by ashok-arjun
  1

• about ImageNet

  #18 opened 3 years ago by daihu-ye
  14

• Code for PODNet-CNN + AANets

  #23 opened 3 years ago by JosephKJ
  8

• runs the code in mini-imagenet

  #28 opened 3 years ago by Liuhao-128
  1

• Running errors

  #13 opened 4 years ago by Cqbelt
  4

• Where ImageNet images resized such that the smaller dimension is 256?

  #27 opened 3 years ago by JosephKJ
  4

• Difference between subset_ImageNet vs miniImageNet

  #26 opened 3 years ago by InugYoon
  2

• A request

  #25 opened 3 years ago by JosephKJ
  2

• The code is super clean! Thank you for your contributions.

  #24 opened 3 years ago by JosephKJ
  0

• About training time

  #22 opened 3 years ago by daihu-ye
  5

• Training on ImageNet100/ImageNet1000

  #12 opened 4 years ago by TouqeerAhmad
  3

• About stable block

  #20 opened 3 years ago by daihu-ye
  3

• About accuracy

  #19 opened 3 years ago by daihu-ye
  6

• Can this program run successfully?

  #17 opened 3 years ago by ywang-art
  2

• about stable block and plastic block

  #16 opened 3 years ago by NUAA-XSF
  1

• Some questions about the code.

  #15 opened 3 years ago by TOM-tym
  6

• How to install dependencies?

  #14 opened 4 years ago by Terahertz0
  4

• About the use of free model

  #11 opened 4 years ago by kangmintong
  4

• torchvision version for CIFAR100

  #10 opened 4 years ago by nlrahimi
  3

• Where is the code for training?

  #8 opened 4 years ago by YandanYang
  4

• ablation study for the "mtl" and "feature fusion" strategies

  #9 opened 4 years ago by Michaelyq
  4

• What does the flag `--fusion_mode` represent?

  #7 opened 4 years ago by Michaelyq
  1

• train on CIFAR100 with --nb_cl=10

  #3 opened 4 years ago by yhchen12101
  6

• ImageNet-100 split

  #2 opened 4 years ago by sud0301
  2

• can't convert cuda:0 device type tensor to numpy

  #6 opened 4 years ago by concrete13377
  6

• Gradient of self.mnemonics is None after backward in mnemonics_train.py

  #5 opened 4 years ago by cyberknight42
  1

• Gradient of self.mnemonics is None after backward in mnemonics_train.py

  #4 opened 4 years ago by cyberknight42
  0