amazon-science/sccl
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
PythonMIT-0
Issues
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- 2
What is the training dataset used in the paper?
#30 opened by rxlian - 9
csv files doesn't exist
#16 opened by SouthWindShiB - 0
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- 1
Where is the model saved? How do I use it?
#25 opened by AnitaSherry - 1
Virtual Or Explit
#19 opened by Tiantian-ZHU - 1
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performance with virtual augmentation
#24 opened by kiucho - 1
Stopping criterion
#17 opened by urospet - 4
Has anyone run out the results of the paper through the hyper parameters provided in the paper or in the source code?
#22 opened by hmllmh - 0
Did you get the score for searchsnippets in the paper by using the plain distilbert as backbone rather than sentence bert?Can you do early stopping whenever the losses stop decreases or the prediction stops changing much?
#23 opened by hmllmh - 3
Is the model effective?
#4 opened by yanhan19940405 - 9
Can‘t achieve the scores in paper
#3 opened by PaffxAroma - 1
No code found for dataset partitioning
#21 opened by gzpbbd - 1
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Can't achive the same score in paper
#8 opened by kirikokonoka - 0
How to run clustering on multiple GPUs?
#11 opened by abhi1nandy2 - 1
How is the training data generated?
#9 opened by jx1100370217 - 5
Twitter dataset not found?
#2 opened by urospet - 5
Data Augmentation?
#1 opened by WuDiDaBinGe - 1
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Bug in confusion.add
#12 opened by MrRace - 10
I have a bug about class Confusion.add()
#10 opened by oYoungCo - 1
Results from HAC-SD
#7 opened by urospet - 2
Worse results with Banking Dataset
#13 opened by rajat-tech-002 - 0
use embedder.encode in get_kmeans_centers, but use sentbert.forward() to get the representation in SCCLBert
#15 opened by jkkl - 0
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Doubt regarding dataloader file
#5 opened by Sohanpatnaik106