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## 一言でいうと
LSTMに対する正則化と最適化方法を提案した研究。様々な手法を提案しているが、再帰(h_t-1)にかかる重みに対しDropConnectをかける手法は、CuDNNLSTMなど高速だがdropout非対応のセルの外側で使用できるため、速度と正則化を両立できる。PTB/WikiText2双方で顕著な効果を確認
) is unstable and nonconverging for supervised …
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No matter the size of the LSTM model, converting it with float16 optimization runs out of memory.
**Code to reproduce the issue**
[The code snippet to reproduce the issue on Google Colab](https://…
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@tdhock this is the outline of my new paper, can you give me some feedbacks
# Learning Penalty Parameters for Optimal Partitioning via Automatic Feature Extraction
## Abstract
Changepoint detec…
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## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1. Establish a PyTorch model with LSTM module using python, and store the script module after using torch.jit.trace. Python code …
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js):
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 11
…
kzay updated
6 months ago
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Something I've been thinking about with expansion of library: a decent amount of the work we've been using involves application of inductive biases and teacher-prompted training to model architecture.…
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Hi,
are there any plans to add cuDNN-accelerated versions of LSTM and GRU to the PyTorch backend? Without cuDNN acceleration, the LSTM and GRU are considerably (several times) slower, even when run…
foxik updated
3 months ago
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I found tf2 not support this feature