projects:fofe:start
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| projects:fofe:start [2015/05/11 19:20] – 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 |
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| + | {{: | ||
| - | {{: | ||
| \\ | \\ | ||
| - | \\ | ||
| - | 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.1431372020.txt.gz · Last modified: by hj
