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CoST
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
BSD 3-Clause "New" or "Revised" License
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Helloteacher, I really don’t understand this part: (rand_idx = np.random.randint(0, x_q.shape[1]); q_t = F.normalize(self.head_q(q_t[:, rand_idx]), dim=-1)). Why specifically extract a random time point instead of expanding over all time points?
#26
yvxingkk
opened
2 months ago
1
Traing Loss problem.
#25
740402059
opened
8 months ago
3
Error during Evaluation of the model
#24
RoMartino
closed
9 months ago
1
How to visualize the trends representation after selecting a single seasonality
#23
hanlaoshi
opened
1 year ago
0
update
#22
Yongdream
closed
1 year ago
1
Are the results in Table 1 and Table 7 both normalized and not raw?
#21
iorange-77
closed
9 months ago
1
I met a mistake.
#20
jhzmike
opened
1 year ago
0
Hello, Gerald. I am trying to running your code on my own dataset. But I got some problems here:
#19
17103023
opened
1 year ago
1
A little confused about Trend Feature Disentangler
#18
Lip-Z
closed
1 year ago
2
einsum() operands do not broadcast with remapped shapes
#17
immusferr
opened
1 year ago
4
Rounding error concerning max_train_length
#16
RichardAffolter
closed
1 year ago
1
Some questions about replication
#15
renmada
closed
1 year ago
1
SystemExit: 2
#14
humamalkaabi
closed
1 year ago
1
A Quick Question
#13
mian-lun
closed
2 years ago
1
Bump numpy from 1.19.2 to 1.22.0
#12
dependabot[bot]
closed
2 years ago
0
compute loss (labels: torch.zeros)
#11
shlee-home
closed
1 year ago
1
TypeError: Rearrange can't be applied to an empty list
#10
shlee-home
closed
2 years ago
1
How to set parameters for AR experts?
#9
jacks-tang
closed
2 years ago
2
different window offset for x_q, x_k
#8
inspirit
closed
2 years ago
1
Where can one download your paper's tex file ?
#7
vinayakrajurs
closed
2 years ago
1
Inquiries about training loss
#6
behringer12
closed
2 years ago
2
The use of instance_contrastive_loss
#5
chenxiaodanhit
closed
2 years ago
2
'--kernels' problem
#4
msonah
closed
2 years ago
1
How to use your approach for downstream forecasting tasks
#3
StatMixedML
closed
2 years ago
7
Learning Help
#2
callmetiger6
closed
2 years ago
1
--eval problem
#1
zhangkexin1126
closed
2 years ago
3