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Hi,
I was trying out your work and was trying to overfit my model on a single example first to get a feel of how it works, and what I can expect. I might have missed something, but from the functi…
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Thank you very much for sharing the code, I have a few questions that I want to bother you
1. Glow is structurally reversible, that is, it is a reversible network without training, and your work is s…
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**Submitting author:** @janfb (Jan Boelts)
**Repository:** https://github.com/sbi-dev/sbi
**Branch with paper.md** (empty if default branch): joss-submission-2024
**Version:** v0.23.2
**Editor:** Pend…
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- [A guide to receptive field arithmetic for Convolutional Neural Networks](https://medium.com/mlreview/a-guide-to-receptive-field-arithmetic-for-convolutional-neural-networks-e0f514068807)
- [Automa…
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Hi,
I'm currently trying to implement the network architecture described in the paper ["User-Driven Fine-Tuning for Beat Tracking" by Pinto et al., 2021](https://www.mdpi.com/2079-9292/10/13/1518).…
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- **Abstract (2-3 lines):**
This talk will cover the state of the art techniques in object detection and localization, face recognition and some applications of deep learning in computer vision. T…
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Dear Mr. Ghasemzadeh,
currently I am working on a project about AI implementation on FPGAs. Within my researches I read your paper ,ReBNet: Residual Binarized Neural Network, and found it as a prom…
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|논문|Graph Convolutional Networks for Text Classification|
|--|--|
|저자|Liang Yao, Chengsheng Mao, Yuan Luo|
|링크|https://arxiv.org/abs/1809.05679|
|학회|AAAI 2019|
# Contents
## 1. 초록은 뭐라고 말하고 있어 …
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Can you share the training code for fingerprints
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Hi Paul,
I have a question regarding the role of residual connection. In PhyCRNet, the temporal derivative is already incorporated in the loss term, why do you still need the residual connection?
…