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I wonder if I utilize 8 A100 80GB to improve the batch size to 4*1024, can the result be reproduced? Thanks.
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How to pretrain Resnet 18 model with **Spectral Loss** on CIFAR100 dataset as described in the paper?
Can I directly utilize the '[spectral.py](https://github.com/deeplearning-wisc/sorl/blob/mast…
Iranb updated
9 months ago
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Hi thank you for sharing,
I try to reproduce BindingDB result for ConPLex which is 0.628 +- 0.012 (AUPR) in Table 1 as you reported.
However, I got 0.6741 when contrastive learning is active an…
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Improved disentangled speech representations using contrastive learning
in factorized hierarchical var…
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Hi!
I'm trying to use the contrastive loss from this library.
To be specific I have 2 embedding tensors (emb0 and emb1), and I know the indexes of positive pairs between emb0 and emb1.
From my un…
fdila updated
9 months ago
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Sik-Ho Tang. [Review — MoCo: Momentum Contrast for Unsupervised Visual Representation Learning](https://sh-tsang.medium.com/review-moco-momentum-contrast-for-unsupervised-visual-representation-learnin…
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Obsidian supports [nested tags](https://help.obsidian.md/Plugins/Tags) using `#inbox/to-read`. Nested tags can replace folders to show hierarchy relationship.
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **AVQVC: One-shot Voice Conversion by Vector Quantization with applying
contrastive learning**
- summary…
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion**
- summ…
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What's the differences between first phase training, second phase training and downstream tasks fine-tuning?