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Hi,
Thank you for your great work, I am new to this area, I have the following questions:
1、How much improvements can be made by the branch of Graph-based contrastive learning? I can not see that ab…
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This is meant to gather any ideas for potential baselines or enhanced approaches to tackle the shared task.
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### Metadata
- Authors: Avishek Joey Bose, huan ling, Yanshuai Cao
- Organization: Borealis AI & University of Toronto
- Conference: ACL 2018
- Paper: http://aclweb.org/anthology/P18-1094
- Blog:…
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Thank you so much for the amazing work. This really help me a lot throughout my research period.
However, May I know how to train the model without using the eval method? I just want the trained m…
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作者你好,在您的code中关于对比学习损失的复现中,其中分母是(cross_sim.sum(dim=1) + inter_sim.sum(dim=1) - cross_sim.diag())),但是在您的论文公式中分母是三项相加,请问是我的理解不对嘛。谢谢
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Enquanto não penso em outro meio mais apropriado para o relatório abaixo, tratarei de inserir o log de tudo que foi feito na pesquisa desde julho.
### Sprint 1
#24
Basicamente revisei o que …
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When I run main_superpixels_contrastive.py
I got
f = pickle.load(f)
ModuleNotFoundError: No module named 'data.superpixels'
I don't know why "f = pickle.load(f)" can cause this problem?
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非常感谢你们的工作,很系统并有指导意义,相信持续更新可以做成相关领域的重要指南。根据我个人的经验有几个模型,可能会有更亮眼表现。
1. StemGNN: Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
2. TS2VEC:Learning Timestamp-Level Repres…
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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Hi, thank you for your awesome work, the experiment results of the code are quite consistent with the paper.
I have some question about the role of contrastive learning in SGL, I notice that in the t…
zwb29 updated
2 years ago