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Sometimes, when training using the SimCLR method I get some divergent loss function (see attached screenshot). I wonder if anyone has ever experienced this kind of issue when training with SimCLR. Thi…
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https://arxiv.org/abs/2303.13664 shows that varying the temperature in the contrastive loss during pretraining can help models learn better representations for datasets with long-tail distributions an…
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Implement InfoNCE-style (e.g. NT-Xent from SimCLR) training objective for contrastive learning. This changes sampling strategy so it probably should be done with #123.
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## 🚀 Feature
Idea is to provide new class of example for self supervised learning.
It could be an implementation of paper "A Simple Framework for Contrastive Learning of Visual Representations" …
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Does the performance of the SimCLR implementation in this repo match the published results?
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Hi,
when cloning the repo and testing the Intro_to_Metadataset.ipynb notebook the first cell gives me an error:
ModuleNotFoundError: No module named 'simclr'
When i install it using pip3 ins…
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Hi Kaiyang
Can you please point me to how can I implement a two-view dataloader for training using the SimCLR loss. Basically, I want the train dataloader to return two views (augmentations) of the…
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Hello, can you tell me if the batchsize must be greater than 512 when extracting image features under simclr?
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### Describe the question.
Hi, recently I want to run DALI for some preprocessing pipelines in GPU and I find some problems which are very weird.
My pipeline is like this:
```
class SimCLR_DALIPip…
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**Original article:** T. Chen, S. Kornblith, M. Norouzi, and G. Hinton. “A simple framework for contrastive learning of visual repre-
sentations.” In: International conference on machine learning. PM…