projects:fofe:start
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projects:fofe:start [2015/05/11 19:18] – hj | projects:fofe:start [2015/08/05 06:02] (current) – hj | ||
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====== FOFE ====== | ====== FOFE ====== | ||
- | ===== fixed-size ordinally-forgetting encoding | + | ===== Fixed-size Ordinally-Forgetting Encoding |
+ | |||
+ | {{: | ||
- | {{: | ||
\\ | \\ | ||
- | FOFE is a simple technique to (almost) uniquely map any variable-length sequence into a fixed-size representation, | ||
+ | ** FOFE ** | ||
+ | is a simple technique to (almost) uniquely map any variable-length sequence into a fixed-size representation, | ||
+ | \\ | ||
+ | We have applied FOFE to feedforward neural network language models (FNN-LMs). Experimental results have shown that without using any recurrent feedbacks, FOFE based FNNLMs can significantly outperform not only the standard fixed-input FNN-LMs but | ||
+ | also the popular RNN-LMs. | ||
+ | |||
+ | **Reference: | ||
+ | \\ | ||
+ | [1] //S. Zhang, H. Jiang, M. Xu, J. Hou, L. Dai//, "A Fixed-Size Encoding Method | ||
+ | |||
+ | [2] //S. Zhang, H. Jiang, M. Xu, J. Hou, L. Dai//, " | ||
+ | |||
+ | **Software: | ||
+ | \\ | ||
+ | The matlab codes to reproduce the results in [1,2] can be downloaded {{: | ||
+ |
projects/fofe/start.1431371905.txt.gz · Last modified: 2015/05/11 19:18 by hj