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  • 1.make study of MAP+LR method for cross-language VPR
    232 B (34 words) - 15:58, 7 July 2014
  • 1. have RE-constructed the Machine learning lib at github.(LR) <br>
    210 B (33 words) - 00:01, 12 May 2013
  • |singer.lexicion||2060 ||/work/lxs/nlphome/dict/lex-wordlist/music/lr || |singer.low.lexicion||2060||/work/lxs/nlphome/dict/lex-wordlist/music/lr||
    9 KB (1,206 words) - 06:24, 26 February 2014
  • ==lr==
    256 B (29 words) - 02:44, 23 August 2014
  • :* dic:/work/lr/word2vector/RNN/RNN/Kaldi+RNN/RNNTEST/kaldi-trunk/egs/wsj/s5/data/local/dic
    1 KB (193 words) - 01:14, 27 October 2014
  • 2.revise MAP+LR method for cross-language VPR
    153 B (21 words) - 15:01, 29 September 2014
  • lr0.001 | 6.28 | 30.01 | 30.26 | lr0.003 | 6.44 | 32.01 | 32.24 |
    12 KB (819 words) - 02:03, 28 October 2014
  • 102 B (17 words) - 01:49, 16 December 2014
  • baseline_dp0.4_lr0.008 | 9.52 | 12.01 | 11.75 | 9.44 baseline_dp0.4_lr0.0001 | 9.92 | 14.22 | 13.59 | 10.24
    14 KB (910 words) - 08:35, 5 November 2014
  • * Already buy 3 760GPU baseline_dp0.4_lr0.008 | 9.52 | 12.01 | 11.75 | 9.44
    16 KB (1,106 words) - 08:06, 11 November 2014
  • * Already buy 3 760GPU baseline_dp0.4_lr0.008 | 9.52 | 12.01 | 11.75 | 9.44
    15 KB (1,010 words) - 08:42, 17 November 2014
  • 102 B (17 words) - 03:53, 15 January 2015
  • ! 2014-01-03!! 梦圆电脑!! 1845!! !! lr !!梦圆/刘荣 !!(之前孟原垫付,由刘荣支付给梦原 ! 2014-01-04!! 实验室聚餐!! 159!!务虚会外卖 !! lr !!刘荣!!
    465 B (17 words) - 01:13, 14 January 2015
  • 102 B (17 words) - 06:04, 3 January 2019
  • ::* search module : lucene search , knowledge graph search => lr ::* Session management module => lr
    1 KB (145 words) - 04:20, 5 March 2015
  • [[lr work|Liu Rong]]
    218 B (28 words) - 07:07, 2 November 2016
  • ...ce training of adam-max, and got some results which shows that with adjust-lr adam-max can get a better performance.
    503 B (76 words) - 14:27, 12 October 2015
  • :* log:log存在在/nfs/disk/work/users/lr/finance/gitlab_work/ga_optimize/optimize/ga_select_stock/experiment/test_GA
    2 KB (49 words) - 06:44, 22 October 2015
  • 2.adjusted the code of "adjust-lr of adam-max", so it can make lr jump back to 0.008 when comes a new dataset.
    479 B (81 words) - 00:43, 19 October 2015
  • lr:0.008-0.0008 train_phn_ly4_c320_lr0.00004(iter1) 37.18 36.69
    11 KB (287 words) - 06:19, 28 October 2015
  • [[financial work lr|lr]]
    88 B (12 words) - 05:52, 25 October 2015
  • adam-max-lr-0.008-c | 8.13 | 29.86 | 29.23 | 31.04... adam-max-lr-0.008-c-a | 7.46 | 12.19 | 16.47 | 18.34...
    4 KB (83 words) - 01:41, 25 April 2016
  • :* Joint-training on SRE and LR. :* Joint-training on SRE and LR.
    370 B (48 words) - 04:57, 3 May 2016
  • :* Joint-training on SRE and LR. :* Joint-training on SRE and LR.
    341 B (45 words) - 17:08, 8 May 2016
  • :* Joint-training on SRE and LRE. [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step= :* Joint-training on SRE and LRE.
    386 B (49 words) - 19:12, 10 July 2016
  • :* Joint-training on SRE and LRE. [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step= :* Deep speaker embedding ( LSTM + LR/Margin ).
    367 B (46 words) - 00:43, 18 July 2016
  • :* Deep speaker embedding ( LSTM + LR/Margin ) :* Joint-training on SRE and LRE. (d-vector visulization)
    408 B (49 words) - 08:11, 31 July 2016
  • :* Deep speaker embedding ( LSTM + LR/Margin ) :* Deep speaker embedding ( LSTM + LR/Margin ).
    409 B (49 words) - 00:33, 1 August 2016
  • :* Deep speaker embedding ( LSTM + LR/Margin ) -- still on the way.
    225 B (34 words) - 00:50, 8 August 2016
  • :* Deep speaker embedding ( LSTM + LR/Margin ) -- hold.
    186 B (25 words) - 11:42, 17 August 2016
  • :* Deep speaker embedding ( LSTM + LR/Margin ) -- hold.
    520 B (71 words) - 03:43, 22 August 2016
  • ! Deadline !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! XCHAO !! ZengXY !! ZhangDX !! LTY !! ZXW !! TangZY !! Ta ! Deadline !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! XCHAO !! ZengXY !! ZhangDX !! LTY !! ZXW !! TangZY !! Ta
    28 KB (2,840 words) - 00:39, 1 December 2016
  • ! Deadline !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! XCHAO !! ZengXY !! ZhangDX !! LTY !! ZXW !! TangZY !! Ta ! Deadline !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! XCHAO !! ZengXY !! ZhangDX !! LTY !! ZXW !! TangZY !! Ta
    7 KB (752 words) - 00:42, 1 December 2016
  • ...ne !! LC !! TGY !! WJ !! BFH !! FM !! XZD !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! YS !! XCHAO !! LYY !! XHB !! ZengXY !! ZhangDX !! YuanB ...ne !! LC !! TGY !! WJ !! BFH !! FM !! XZD !! ASK !! ZZY !! ZMY !! LR !! LLT !! WXX !! YS !! XCHAO !! LYY !! XHB !! ZengXY !! ZhangDX !! YuanB
    8 KB (810 words) - 00:42, 1 December 2016
  • ...TGY !! ZCH !! GC !! QH !! WJ !! BFH !! FM !! XZD !! ASK !! ZZY !! ZMY !! LR !! LLT !! LL !! ZF !! XC ...TGY !! ZCH !! GC !! QH !! WJ !! BFH !! FM !! XZD !! ASK !! ZZY !! ZMY !! LR !! LLT
    4 KB (518 words) - 00:43, 1 December 2016
  • hidden_size, emb_size, lr = 500, 310, 0.001 bleu = 43.53 (best) hidden_size, emb_size, lr = 700, 510, 0.001 bleu = 45.21 (best) but most results are under 43.1
    1 KB (199 words) - 09:03, 31 May 2017
  • =Interspeech 2021 OLR Special Session= ...are limited in source and are difficult to be distinguished. Since then, OLR challenge has been conducted for 5 years, with more and more impact. In 202
    2 KB (357 words) - 07:55, 18 January 2021
  • =Interspeech 2021 OLR Special Session= ...are limited in source and are difficult to be distinguished. Since then, OLR challenge has been conducted for 5 years, with more and more impact. In 202
    2 KB (357 words) - 07:57, 18 January 2021

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