锘??xml version="1.0" encoding="utf-8" standalone="yes"?>C++鍗氬-鏉?/title><link>http://www.2676208.com/guijie/</link><description>鏉板摜濂?鍝?#37725;?</description><language>zh-cn</language><lastBuildDate>Mon, 19 Aug 2019 09:57:26 GMT</lastBuildDate><pubDate>Mon, 19 Aug 2019 09:57:26 GMT</pubDate><ttl>60</ttl><item><title>[zz]璇籆hina Daily瀛﹁嫳鏂?/title><link>http://www.2676208.com/guijie/archive/2019/06/27/216463.html</link><dc:creator>鏉板摜</dc:creator><author>鏉板摜</author><pubDate>Wed, 26 Jun 2019 17:41:00 GMT</pubDate><guid>http://www.2676208.com/guijie/archive/2019/06/27/216463.html</guid><wfw:comment>http://www.2676208.com/guijie/comments/216463.html</wfw:comment><comments>http://www.2676208.com/guijie/archive/2019/06/27/216463.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.2676208.com/guijie/comments/commentRss/216463.html</wfw:commentRss><trackback:ping>http://www.2676208.com/guijie/services/trackbacks/216463.html</trackback:ping><description><![CDATA[<span style="color: #1a1a1a; font-family: -apple-system, BlinkMacSystemFont, "Helvetica Neue", "PingFang SC", "Microsoft YaHei", "Source Han Sans SC", "Noto Sans CJK SC", "WenQuanYi Micro Hei", sans-serif; font-size: medium; background-color: #ffffff;">鐩墠涓嶅皯浜哄China Daily瀛樺湪鍋忚锛氭姤绾?#28051;?#37928;?#37826;?#32468;犻兘鏄?#28051;?#37733;?#27996;哄啓鐨?#38171;?#37733;?#23005;?#28051;嶅?#29111;湴閬撱備絾杩欑?#23941;?#24538;瀹屽叏绔?#28051;?#28003;忚剼锛?#37733;?#28051;?#28051;?#37733;芥棩?#23012;鐨?#29825;拌呴兘鏄?#29863;勬?#36779;嫳鏂?#37712;?#37813;?#38171;?#37712;欎綔姘村钩瑕?#26473;?#29906;呯粷澶?#28598;氭暟璇?#38000;?#38171;?#38000;?#28051;?#37826;?#32468;?#37721;戣〃?#22688;杩?#37832;?#28598;?#32491;?#28051;?#28729;舵鼎鑹?#28729;?#32459;?/span><span style="color: #1a1a1a; font-family: -apple-system, BlinkMacSystemFont, "Helvetica Neue", "PingFang SC", "Microsoft YaHei", "Source Han Sans SC", "Noto Sans CJK SC", "WenQuanYi Micro Hei", sans-serif; font-size: medium; background-color: #ffffff;">銆?/span><br />Reference: <a href="https://zhuanlan.zhihu.com/p/49847636">https://zhuanlan.zhihu.com/p/49847636</a><img src ="http://www.2676208.com/guijie/aggbug/216463.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.2676208.com/guijie/" target="_blank">鏉板摜</a> 2019-06-27 01:41 <a href="http://www.2676208.com/guijie/archive/2019/06/27/216463.html#Feedback" target="_blank" style="text-decoration:none;">鍙戣〃璇?#29825;?/a></div>]]></description></item><item><title>Jensen-Shannon divergencehttp://www.2676208.com/guijie/archive/2019/06/20/216430.html鏉板摜鏉板摜Wed, 19 Jun 2019 17:44:00 GMThttp://www.2676208.com/guijie/archive/2019/06/20/216430.htmlhttp://www.2676208.com/guijie/comments/216430.htmlhttp://www.2676208.com/guijie/archive/2019/06/20/216430.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216430.htmlhttp://www.2676208.com/guijie/services/trackbacks/216430.htmlhttps://www.mathworks.com/matlabcentral/fileexchange/20689-jensen-shannon-divergence

鏉板摜 2019-06-20 01:44 鍙戣〃璇?#29825;?/a>
]]>
[zz] 涓轰粈涔?#29831;?#37733;惧儚鐨?#28003;?#26864;?#37828;?#26462;粨锛岄珮棰?#37828;?#37731;?#28601;板?#23680;粏鑺?/title><link>http://www.2676208.com/guijie/archive/2019/06/19/216424.html</link><dc:creator>鏉板摜</dc:creator><author>鏉板摜</author><pubDate>Tue, 18 Jun 2019 17:01:00 GMT</pubDate><guid>http://www.2676208.com/guijie/archive/2019/06/19/216424.html</guid><wfw:comment>http://www.2676208.com/guijie/comments/216424.html</wfw:comment><comments>http://www.2676208.com/guijie/archive/2019/06/19/216424.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.2676208.com/guijie/comments/commentRss/216424.html</wfw:commentRss><trackback:ping>http://www.2676208.com/guijie/services/trackbacks/216424.html</trackback:ping><description><![CDATA[<div><font color="#0000ee">鍥惧儚鐨?#26864;?#37916;?#38171;?#37903;板害鍊?#37721;樺寲鍓?#37905;?#32459;嬪害鐨勬?#22248;爣锛?#37828;?#37903;板害?#28266;?#38057;闈?#32460;?#38338;?#28051;?#37928;勬?#23475;銆?/font></div><div><font color="#0000ee"><br /></font></div><div><font color="#0000ee">锛?锛変粈涔?#37828;?#28003;?#26864;?</font></div><div><font color="#0000ee">      浣?#26864;?#28751;?#37828;?#26864;?#38009;?#32514;撴參鍦板?#27194;寲,涔熷氨鏄?#37903;板害缂撴參鍦板?#27194;寲,灏变唬琛ㄧ潃閭?#37828;?#26473;炵画娓?#37721;?#37928;?#28051;鍧?#37718;哄煙,杩欓儴鍒?#28751;?#37828;?#28003;?#26864;? 瀵?#27996;?#28051;骞?#37733;惧儚鏉?#29831;?#38171;岄櫎?#24147;?#29678;棰?#37928;?#28751;?#37828;?#28003;?#26864;?#27996;?#38171;屼?#29111;氨鏄?#26440;?#32514;?#28000;?#37712;?#37928;?#37712;?#28729;?#28051;?#28003;?#26864;?#38171;?#38000;?#26440;?#32514;樺唴鐨?#37712;?#28729;?#28751;?#37828;?#37733;惧儚鐨?#28598;ч儴鍒嗕俊鎭?#38171;?#37719;?#37733;惧儚鐨?#28598;ц嚧姒傝?#23677;拰杞粨锛?#37828;?#37733;惧儚鐨?#26473;戜技?#20426;鎭?#37510;?/font></div><div><font color="#0000ee"><br /></font></div><div><font color="#0000ee">锛?锛変粈涔?#37828;珮棰?</font></div><div><font color="#0000ee"><br /></font></div><div><font color="#0000ee">     鍙?#26473;?#37833;? ?#29678;棰?#28751;?#37828;?#26864;?#37916;囧?#27194;?#26663;揩.鍥惧儚涓粈涔堟椂鍊欑?#26495;害鍙樺?#26663;揩?灏?#37828;?#37929;?#38317;?#37718;哄煙涔?#38338;?#37903;板害鐩稿樊寰堝ぇ,杩?#28751;?#37828;?#37721;樺?#26663;?#26944;揩.鍥惧儚涓?涓涓奖?#20762;涓?#38003;屾櫙鐨勮竟缂橀儴浣?閫氬?#38224;?#27693;湁鏄?#37828;?#37928;勫樊鍒?涔熷氨鏄?#29831;村?#27194;寲閭?#37833;?#26440;?#32510;?#38317;i噷,鐏板害鍙樺?#26663;?#22557;揩,涔?#37719;?#37828;?#37721;樺寲棰?#37916;囬珮鐨勯儴浣?鍥?#23005;?#38171;?#37733;惧?#24538;竟缂?#37928;?#37903;板害鍊?#37721;樺?#26663;揩锛屽氨瀵?#25652;旂潃棰?#37916;囬珮锛?#37719;抽珮棰?#37828;?#32448;哄?#24807;?#24538;竟缂?#37510;?#37733;惧儚鐨勭粏鑺?#28598;?#28052;?#37828;睘浜?#37903;板害鍊兼?#37715;?#37721;樺寲鐨?#37718;哄煙锛?#23005;?#37828;?#37733;?#28051;?#37903;板害鍊?#37928;勬?#37715;?#37721;樺寲锛屾墠浼氬嚭鐜扮粏鑺?#37510;?/font></div><div><font color="#0000ee">      鍙?#28598;?#37731;?#28601;?#38171;?#37719;?#37731;偣锛?#28052;?#37828;?#26473;?#37837;??#28266;涓涓儚绱?#37813;?#28266;鐨?#28003;嶇疆,涔?#37813;浠?#37828;?#37731;偣,灏?#37828;?#37733;?#28051;哄畠涓?#23005;e父鐨勭偣棰?#38009;?#28051;?#28051;鏍?#27996;?#38171;屼?#29111;氨鏄?#29831;?#29831;ュ儚绱犵偣鐏板害鍊?#37828;?#37828;?#28051;?#28051;鏍?#27996;?,涔熷氨鏄?#37903;板害鏈夊揩閫熷?#26495;?#27194;寲浜?鎵浠?#37828;珮棰戦儴鍒?#38171;?#37733;?#23005;?#37832;夊櫔澹板湪?#29678;棰?#26473;欎箞涓璇?#37510;?/font></div><div><font color="#0000ee"><br /></font></div><div><font color="#0000ee">      鍏?#28729;?#35120;?#37837;?#37714;板簳,鏄?#37733;?#28051;烘?#25116;滑浜?#37930;?#29831;?#37714;墿浣?#28751;?#37828;?#26473;?#37837;?#37928;?鍋囧?#20633;?#29365;┛涓涓?#32510;?#29723;?#37832;嶅湪绾?#38009;?#38003;屾櫙?#31479;?#22688;鎷嶇収,浣犺兘寰?#28610;藉湴璇?#37714;?#28052;?涓嶈兘,鍥?#28051;?#29723;?#37832;?#28051;?#38003;屾櫙?#28730;涓?#28051;浣?#27996;?娌?#37832;?#37721;樺寲,鎵浠?#37930;?#28051;嶅嚭鏉?闄?#38344;?#37832;?#37903;?#37711;変?#24226;?#24879;В?#23475;鐓у湪浜虹墿?#38889;涓?杩?#37837;?#26440;?#32514;樺?#21226;?#27692;嚭鐜伴珮浜?#37724;岄?#26449;奖,杩?#37837;?#37812;戜滑灏辫兘鐪?#37714;?#28051;浜?#26462;粨绾?杩?#27996;?#32510;?#28751;?#37828;?#26864;?#38009;?#38171;?#37719;?#37903;板害锛夊緢涓?#28051;鏍?#37928;勫湴鏂?</font></div><div><font color="#0000ee">--------------------- </font></div><div><font color="#0000ee">浣?#38000;?#38171;歝harlene_bo </font></div><div><font color="#0000ee">鏉ユ簮锛欳SDN </font></div><div><font color="#0000ee">鍘?#37826;?#38171;歨ttps://blog.csdn.net/charlene_bo/article/details/70877999 </font></div><div><font color="#0000ee">鐗?#37833;?#28601;?#37828;?#38171;氭湰鏂?#28051;?#37719;?#28051;?#37720;熷垱鏂?#32468;?#38171;?#26462;?#26462;?#29831;?#38340;?#28051;?#37719;?#37826;囬?#28844;帴锛?/font></div><img src ="http://www.2676208.com/guijie/aggbug/216424.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.2676208.com/guijie/" target="_blank">鏉板摜</a> 2019-06-19 01:01 <a href="http://www.2676208.com/guijie/archive/2019/06/19/216424.html#Feedback" target="_blank" style="text-decoration:none;">鍙戣〃璇?#29825;?/a></div>]]></description></item><item><title>鐢╭q浼犻?#37826;?#28000;?#38171;?#28051;嶇敤寰俊浼犻?#37826;?#28000;?/title><link>http://www.2676208.com/guijie/archive/2019/06/19/216423.html</link><dc:creator>鏉板摜</dc:creator><author>鏉板摜</author><pubDate>Tue, 18 Jun 2019 16:01:00 GMT</pubDate><guid>http://www.2676208.com/guijie/archive/2019/06/19/216423.html</guid><wfw:comment>http://www.2676208.com/guijie/comments/216423.html</wfw:comment><comments>http://www.2676208.com/guijie/archive/2019/06/19/216423.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.2676208.com/guijie/comments/commentRss/216423.html</wfw:commentRss><trackback:ping>http://www.2676208.com/guijie/services/trackbacks/216423.html</trackback:ping><description><![CDATA[寰堝?#27693;锛岀?#20291;剳寰俊浼犻?#37826;?#28000;?#38171;?#23005;?#37832;?#38171;岃摑灞?#38171;宷q浼犻?#37826;?#28000;?#28751;辨病鏈?#38338;?#26864;?#37510;?a href="https://www.zhihu.com/question/265609875">https://www.zhihu.com/question/265609875</a><img src ="http://www.2676208.com/guijie/aggbug/216423.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.2676208.com/guijie/" target="_blank">鏉板摜</a> 2019-06-19 00:01 <a href="http://www.2676208.com/guijie/archive/2019/06/19/216423.html#Feedback" target="_blank" style="text-decoration:none;">鍙戣〃璇?#29825;?/a></div>]]></description></item><item><title>鍏紡缂?#26440;?#37731;?#28641;備綍鍐欏嚭鑺?#37712;?#28699;?#23011;岮,B,Chttp://www.2676208.com/guijie/archive/2019/05/29/216382.html鏉板摜鏉板摜Wed, 29 May 2019 01:33:00 GMThttp://www.2676208.com/guijie/archive/2019/05/29/216382.htmlhttp://www.2676208.com/guijie/comments/216382.htmlhttp://www.2676208.com/guijie/archive/2019/05/29/216382.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216382.htmlhttp://www.2676208.com/guijie/services/trackbacks/216382.html鎴戠敤鐨?/span>鍏紡缂?#26440;?#37731;?/span>鏄疢athType锛?#26473;?#37711;?/span>鍏紡缂?#26440;?#37731;?/span>鍚庣偣鑿?#37719;?#8220;缂?#26440;?#8221;锛岄?#23684;潰鏈夊?#25106;护“鎻?#37711;?#32471;?#37721;?S)”锛?#26473;涘幓灏?#37836;?#37930;?#8220;瀛?#28003;?#8221;鏀?#28051;?#8220;Euclid Math One”锛岄?#23684;潰灏?#37832;?#38010;?#37712;?#28699;?#23011;岮,B,C锛岄夋嫨鐐瑰嚮“宓屽叆”鎸夐挳灏?#37721;?#28000;?#27996;?#37510;?#28051;?#23059;呮鐢?#8220;MicroSoft 鍏紡 3.0”鏄?#28051;?#37828;?#28051;鏍?#37510;備粎渚?#37721;?#38000;?#37510;?/span>



鏉板摜 2019-05-29 09:33 鍙戣〃璇?#29825;?/a>
]]>璋?#23005;?#28699;?#37832;奖鍝嶅?#28057;帓鍚?2019 Scholar Metrics)http://www.2676208.com/guijie/archive/2019/05/17/216377.html鏉板摜鏉板摜Fri, 17 May 2019 14:59:00 GMThttp://www.2676208.com/guijie/archive/2019/05/17/216377.htmlhttp://www.2676208.com/guijie/comments/216377.htmlhttp://www.2676208.com/guijie/archive/2019/05/17/216377.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216377.htmlhttp://www.2676208.com/guijie/services/trackbacks/216377.html2019骞磋胺姝?#28699;?#38000;匱op Publication姒?#37719;?#37831;?#37826;?#38171;欳VPR涓?#37719;囧埌鏁?#28051;伐绋?#28051;?#29825;$畻鏈虹瀛?#32491;?#32471;?#27996;屽悕銆?#27996;哄伐鏅鸿兘棰?#37737;烴eurIPS, ICLR, ICML鐙?#37719;犻?#23677;ご銆傝嚜鐒?#29831;?#29815;澶勭悊姒?#37719;?#23052;?#37832;?#37721;樺寲锛?#26473;?#37828;疉CL锛孍MNLP锛孨AACL銆?​​​​
Reference:
https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng
Weibo of Weilian Wang on July 20, 2019. See my favourite on July 23, 2019. 

https://m.sohu.com/a/245182179_473283/?pvid=000115_3w_a
 

2018璋?#23005;?#28699;?#37832;奖鍝嶅?#28057;帓鍚嶅嚭鐐?#38171;欳VPR杩?#37711;ュ墠20锛孯esNet琚紩鏈澶?#26473;?#28051;囨锛?/div>


鏉ユ簮锛?/span>scholar.google.com

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鏄?#28598;?#38171;岃胺姝?#28699;?#37832;?#38171;?/span>Google Scholar锛夊叕?#31479;浜?/span>2018骞?#37832;鏂?#37928;?#28699;?#37832;?#37832;熷垔/?#32048;璁奖鍝嶅?#28057;帓鍚?#38171;屼粠缁煎悎棰?#37737;?#37930;?#38171;屾涓嶆剰澶?#37928;?#38171;?/span>Nature绗?#28051;銆?/span>Science绗?#28051;?#38171;屼絾鍊煎?#26944;?#34411;敞鐨勬槸锛?strong>璁$畻鏈鸿?#21978;?#22800;?#26421;細CVPR?#24083;鍚嶇20锛屽彟涓涓?/span>AI棰?#37737;?#37928;勯?#26421;細NIPS涔熸帓鍚嶇54锛?/span>鍚嶆杈冨幓骞?#37832;?#27996;?#28598;?#39582;?#37819;?#37719;?#37510;?/span>

灏?#26473;炴帓鍚嶇涓鐨?/span>Nature?#22135;锛?#26473;囧幓5骞磋?#32041;鐢?#23046;?#37825;?#37832;?#29678;鐨?#29825;?#37826;?#38171;屼篃鏄?/span>娣卞害瀛?#28052;?#28051;?#28598;?#32449;?/span>”Hinton銆?/span>LeCun鍜?/span>Bengio鍚堣憲鐨?#37510;?#23075;卞害瀛?#28052;?#37510;?#28051;鏂?#37510;?/span>

涓嶄?#21613;姝?#38171;屽湪CVPR?#22135;锛?#26473;囧幓5骞磋?#32041;娆?#37825;?#37832;澶?#37928;?#29825;?#37826;?#38171;?#37828;?#35120;撴椂杩樺湪寰?#26462;?#27996;氭床鐮旂┒闄?#37928;?#28699;?#37715;?#37510;?#28003;?#37805;?#37828;?#37510;?#23534;犵ゥ闆?#37510;?#28000;诲皯鍗?#37712;?#37928;?#37928;?/span>ResNet锛岃?#32041;娆?#37825;板凡缁忚繃涓?#37510;?/span>

2018 璋?#23005;?#28699;?#37832;?#37832;熷垔鍜屼細璁奖鍝嶅?#28057;帓鍚?#38171;?/span>CVPR绗?/span>20锛?/span>NIPS绗?/span>54

棣栧厛鏉?#37930;?#32513;煎悎棰?#37737;熺粨?#28745;銆?/span>

澶?#28729;舵瘮杈?#37711;冲績鐨?/span>Nature銆?/span>Science鍒?#37714;?#28003;嶅垪绗?#28051;鍜岀涓?#38171;屽尰瀛?#38017;楀悕鏈熷垔銆?#37826;拌嫳鏍煎叞鏉?#36423;?#37510;?#37724;?#37510;?#37836;?#37721;?#37714;銆?#37714;?#37714;?#28003;?#27996;庣浜屽?#23680;鍥?#37510;?#28051;鍚戣鍥?#37712;?#28051;?/span>Nature銆?/span>Science骞?#37714;?#38171;?#37832;?/span>“CNS”涔嬬О鐨?/span>Cell锛?#26473;欐?#24083;鍚嶇6銆?/span>

?#24116;涓?#37833;?#28751;?#37828;?#37826;?#37829;哄厓鐨?#29831;?#38000;呮洿涓哄?#34411;敞鐨?#28051;?#27996;哄伐鏅鸿兘鏈夊叧鐨勬?#29111;垔鍜屼細璁?#27996;?#38171;?#26473;?#28051;娆?#38171;?#29825;$畻鏈鸿?#21978;?#22800;?#26421;細CVPR涓嶈礋浼?#37832;涙帓鍚嶇20锛岀敱姝?#29825;$畻鏈?#26864;?#37737;?#26916;朵細涔?#32513;?#27996;?#26473;?#37711;?/span>Top20鐨勮?#23677;垪銆?/span>

 

鍙?#28051;鏂?#38344;?#38171;?/span>AI棰?#37737;熷彟涓涓?#28598;囧?#26944;?#34411;敞鐨勪細璁?/span>NIPS锛屼?#29111;湪缁煎?#22559;帓鍚?#28051;?#28003;嶅垪绗?/span>54锛屽?#26663;緱浜?#28051;嶉敊鐨勬垚缁?#37510;?/span>

涓庣?#28853;?#24533;瀛?#37929;稿叧鐨?/span> Nature Neuroscience ?#24083;鍚嶇44銆?/span>

 

鑷?#27996;庣21鍚嶅?#25198;40鍚?#37928;勬?#29111;垔锛屽疄闄?#28051;?#28052;?#37832;夊父鏈夎窡AI鐩稿叧鐨?#29825;?#37826;囧?#25123;〃锛屽ぇ瀹?#28052;熷彲浠?#37930;?#28051;涓嬫帓鍚?#37510;?/span>

鍊煎緱涓鎻?#38171;?/span>PLoS ONE浣?#27996;庣23锛?/span>Scientific Reports ?#24083;鍚嶇39锛屼篃?#30075;鏄?#28051;嶉敊鐨?#37721;戣〃鍦?#37813;浜?#37510;?/span>

 

?#28266;绗?/span>61鍒扮80鍚?#28051;?#38338;?#38171;岄泦涓嚭鐜?#27996;?#28598;氭湰IEEE鏈熷垔銆傝瑾?#28051;哄彟涓涓?#29825;$畻鏈鸿?#21978;?#22800;?#26421;細鐨?/span>ICCV锛屾帓鍚嶇78銆?/span>

 

绗?/span>81鍒扮100鍚?#37928;勬?#29111;垔/?#32048;璁帓鍚嶅涓?#38171;?/span>TPAMI 浣?#27996;庣92锛屾灉鐒?#28610;?#29825;?#37826;囬兘浼樺?#22557;幓?#32048;璁?#37721;戣〃浜?#37510;?/span>

 

?#20240;绋?#28051;?#29825;$畻鏈?#26864;?#37737;?/span>Top 20锛?/span>CVPR?#24083;鍚嶇5

 

璋?#23005;?#28699;?#37832;?#29825;?#38322;忔帓鍚?#37826;?#23049;?#38171;?#26473;囧幓5骞磋?#32041;鐢?#29825;?#37826;?/span>“h5鎸?#37825;?/span>

璋?#23005;?#28699;?#37832;?#38171;?/span>Google Scholar锛?#37832;熷垔鍜屼細璁帓鍚?#28051;?#29781;?#37737;?#27996;?/span>h-index銆?/span>瀹?#38340;?#28051;?#38171;屼粠2012骞磋捣鏉?#38171;岃胺姝?#28699;?#37832;?#29825;?#38322;?#38171;?/span>Google Scholar Metrics, GSM锛?#23011;?#39582;撮兘浼氬彂?#31479;瀛?#37832;?#37832;熷垔鍜屼細璁?#37928;?/span>GSM?#24083;鍚?#37510;?/span>

鐩?#23011;旂?#25120;?#22446;敮瀹夊熀浜?/span>Web of Science鏁版嵁搴?#37711;竷鐨?#37510;?#37832;熷?#23106;紩璇佹姤鍛?#37510;?#38171;?/span>Journal Citation Report, JCR锛?#38171;?/span>GSM涓嶄粎鍙?#28000;?#37711;嶈?#35268;绱?#38171;?#38000;?#28051;?#37824;跺綍鐨勬?#29111;垔鍜屼細璁?#38012;?#37733;?#26473;?#26473;?#28598;?#27996;?/span>Web of Science銆?/span>

杩?#37832;?#28051;?#20579;锛?strong>鏈熷垔/?#32048;璁?#37928;?/span>“h5鎸?#37825;?/span>锛?#26473;囧幓5骞?/span>h-index锛?/span>姣?#26440;?#38341;?#28000;?#29722;?#27996;?#28051;烘?#23942;帶锛?#28051;嶄?#27692;洜涓哄浜?#28051;绡?#29906;呴珮琚紩璁?#37826;?#38000;?#37828;?#37828;惧?#28858;暱锛屽彟涓鏂?#38344;?#38171;屽?#32472;剰鍑忓皯鍙?#37826;囬噺涔?#28051;嶄?#27692;鎻?#37719;?/span>h5鎸?#37825;?#37832;?#28003;?#37922;?#37510;?/span>

鍥?#23005;?#38171;?/span>h5鎸?#37825;板彲浠?#28003;?#37916;?#37832;熷垔鍜屼細璁?#37928;勬暣浣?#32513;煎?#22557;疄鍔?/span>锛岄?#23059;?#37812;?#28051;?#28699;?#37832;嚭鐗堢墿鍜屼細璁奖鍝嶅姏璇勪環鐨?#28051;涓?#38322;?#29781;?#37721;?#38000;?#37510;?/span>

鎬?#28003;?#37930;?#38171;?/span>GSM涓?#29781;?#37721;?#38000;?#28000;?#28051;?/span>3涓?#37816;囨爣锛?/span>

鐩?#25652;斿湴锛?/span>h5鎸?#37825;?#38171;?/span>h5-index锛?#37510;?/span>h5鏍?#36423;?#38171;?/span>h5-core锛夊拰h5涓?#37706;?#38171;?/span>h5-median锛?#38171;屽氨鏄?#37824;跺?#26334;湪璋?#23005;?#28699;?#37832;郴缁?#28051;?#37928;勬?#29111;垔鍜屼細璁湪鏈杩?/span>5骞?#37928;?#29825;?#37826;?#37825;?#38322;?#37721;?#37722;?#29825;?#37826;?#29722;紩鐢?#37928;勬鏁?/span>銆?/span>

渚嬪锛屽?#20635;灉鏌?#37832;?#37832;熷?#23106;湪杩囧幓5骞?#37813;鍙戣〃鐨?#29825;?#37826;?#28051;?#38171;岃?#20914;皯鏈?/span> h 绡?#29825;?#37826;囧垎鍒?#29722;紩鐢?#27996;嗚?#20914;皯 h 娆?#38171;岄偅涔?#26473;欎唤鏉?#36423;?#37928;?/span> h5鎸?#37825;板氨鏄?/span> h銆?/span>h5鏍?#36423;?#37724;?/span>h5涓?#37706;?#37928;?#29825;$畻鏂?#23049;?#28052;?#28051;鏍?#37510;?/span>

浜嗚В鏇?#28598;?#38171;?/span>

https://scholar.google.com/citations?view_op=top_venues&hl=zh-CN&vq=en

寮鍞?#38171;?/span>

http://www.aiworld2018.com/

璋?#23005;?/span>璁$畻鏈?/span>

澹?#37828;?#38171;?#29831;?#37826;?#29785;?#37904;逛粎?#21804;琛?#28003;?#38000;?#37832;?#27996;?#38171;屾悳鐙?#37721;风?#35763;俊鎭?#37721;戝竷?#38057;鍙?#38171;屾悳鐙?#28000;?#37819;?#28186;涗俊鎭?#28699;樺偍绌?#38338;?#37832;嶅姟銆?/span>



鏉板摜 2019-05-17 22:59 鍙戣〃璇?#29825;?/a>
]]>arxiv涓?#28028;爈atex鏂?#32468;?/title><link>http://www.2676208.com/guijie/archive/2019/04/07/216341.html</link><dc:creator>鏉板摜</dc:creator><author>鏉板摜</author><pubDate>Sun, 07 Apr 2019 00:49:00 GMT</pubDate><guid>http://www.2676208.com/guijie/archive/2019/04/07/216341.html</guid><wfw:comment>http://www.2676208.com/guijie/comments/216341.html</wfw:comment><comments>http://www.2676208.com/guijie/archive/2019/04/07/216341.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.2676208.com/guijie/comments/commentRss/216341.html</wfw:commentRss><trackback:ping>http://www.2676208.com/guijie/services/trackbacks/216341.html</trackback:ping><description><![CDATA[<div><div>鏍规嵁20190405 flagged email,涓?#28028;?#28051;?#28051;猵aper鍒癮rxiv. 鍏堝帇缂?#37812;恴ip鏂?#28000;?鍐峌pload file, 鍙?#37916;?#28028;氭彁绀哄涓嬮敊璇?</div><div>contained a.bib file, but no a.bbl file (include a.bbl, or submit without a.bib; and remember to verify references).<br 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src ="http://www.2676208.com/guijie/aggbug/216341.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.2676208.com/guijie/" target="_blank">鏉板摜</a> 2019-04-07 08:49 <a href="http://www.2676208.com/guijie/archive/2019/04/07/216341.html#Feedback" target="_blank" style="text-decoration:none;">鍙戣〃璇?#29825;?/a></div>]]></description></item><item><title>[zz] How to Train a GAN? Tips and tricks to make GANs workhttp://www.2676208.com/guijie/archive/2019/04/02/216325.html鏉板摜鏉板摜Mon, 01 Apr 2019 21:42:00 GMThttp://www.2676208.com/guijie/archive/2019/04/02/216325.htmlhttp://www.2676208.com/guijie/comments/216325.htmlhttp://www.2676208.com/guijie/archive/2019/04/02/216325.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216325.htmlhttp://www.2676208.com/guijie/services/trackbacks/216325.htmlWhile research in Generative Adversarial Networks (GANs) continues to improve the fundamental stability of these models, we use a bunch of tricks to train them and make them stable day to day.

Here are a summary of some of the tricks.

Here's a link to the authors of this document

If you find a trick that is particularly useful in practice, please open a Pull Request to add it to the document. If we find it to be reasonable and verified, we will merge it in.

1. Normalize the inputs

  • normalize the images between -1 and 1
  • Tanh as the last layer of the generator output

2: A modified loss function

In GAN papers, the loss function to optimize G is min (log 1-D), but in practice folks practically use max log D

  • because the first formulation has vanishing gradients early on
  • Goodfellow et. al (2014)

In practice, works well:

  • Flip labels when training generator: real = fake, fake = real

3: Use a spherical Z

  • Dont sample from a Uniform distribution

cube

  • Sample from a gaussian distribution

sphere

4: BatchNorm

  • Construct different mini-batches for real and fake, i.e. each mini-batch needs to contain only all real images or all generated images.
  • when batchnorm is not an option use instance normalization (for each sample, subtract mean and divide by standard deviation).

batchmix

5: Avoid Sparse Gradients: ReLU, MaxPool

  • the stability of the GAN game suffers if you have sparse gradients
  • LeakyReLU = good (in both G and D)
  • For Downsampling, use: Average Pooling, Conv2d + stride
  • For Upsampling, use: PixelShuffle, ConvTranspose2d + stride

6: Use Soft and Noisy Labels

  • Label Smoothing, i.e. if you have two target labels: Real=1 and Fake=0, then for each incoming sample, if it is real, then replace the label with a random number between 0.7 and 1.2, and if it is a fake sample, replace it with 0.0 and 0.3 (for example).
    • Salimans et. al. 2016
  • make the labels the noisy for the discriminator: occasionally flip the labels when training the discriminator

7: DCGAN / Hybrid Models

  • Use DCGAN when you can. It works!
  • if you cant use DCGANs and no model is stable, use a hybrid model : KL + GAN or VAE + GAN

8: Use stability tricks from RL

  • Experience Replay
    • Keep a replay buffer of past generations and occassionally show them
    • Keep checkpoints from the past of G and D and occassionaly swap them out for a few iterations
  • All stability tricks that work for deep deterministic policy gradients
  • See Pfau & Vinyals (2016)

9: Use the ADAM Optimizer

  • optim.Adam rules!
    • See Radford et. al. 2015
  • Use SGD for discriminator and ADAM for generator

10: Track failures early

  • D loss goes to 0: failure mode
  • check norms of gradients: if they are over 100 things are screwing up
  • when things are working, D loss has low variance and goes down over time vs having huge variance and spiking
  • if loss of generator steadily decreases, then it's fooling D with garbage (says martin)

11: Dont balance loss via statistics (unless you have a good reason to)

  • Dont try to find a (number of G / number of D) schedule to uncollapse training
  • It's hard and we've all tried it.
  • If you do try it, have a principled approach to it, rather than intuition

For example

while lossD > A:   train D while lossG > B:   train G 

12: If you have labels, use them

  • if you have labels available, training the discriminator to also classify the samples: auxillary GANs

13: Add noise to inputs, decay over time

14: [notsure] Train discriminator more (sometimes)

  • especially when you have noise
  • hard to find a schedule of number of D iterations vs G iterations

15: [notsure] Batch Discrimination

  • Mixed results

16: Discrete variables in Conditional GANs

  • Use an Embedding layer
  • Add as additional channels to images
  • Keep embedding dimensionality low and upsample to match image channel size

17: Use Dropouts in G in both train and test phase

Authors

  • Soumith Chintala
  • Emily Denton
  • Martin Arjovsky
  • Michael Mathieu
Reference:
https://github.com/soumith/ganhacks#authors



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  • LeakyRelu
  • For Downsampling, use: Average Pooling, Conv2d + stride
  • For Upsampling, use: PixelShuffle, ConvTranspose2d + stride

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  • Keep a replay buffer of past generations and occassionally show them
  • Keep checkpoints from the past of G and D and occassionaly swap them out for a few iterations

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11銆?#37832;濂?#37714;?#28751;?#29831;?#29825;剧疆涓浜涘?#25601;噺?#24147;balance G涓嶥鐨?#29825;?#32513;?#26473;囩▼銆?#38171;?#28000;?#28000;?#29831;?#26473;?#28051;獁ork寰堥毦鍋?#37510;?#37812;戣?#22794;緱鏈夋椂闂?#37928;?#29831;?#37711;?#28729;?#26473;?#37828;?#37721;?#28000;?#29831;?#28051;涓?#37928;?#37510;?#38171;?/p>

12銆傚?#20635;灉浣?#28725;箁eal鏈?#37929;?#25652;?#37928;刲abel锛岀敤label锛孉C-GAN銆傚姞鍏abel?#20426;鎭?#38171;屽彲浠?#38340;?#28003;庣敓鎴?#37928;勯?#24807;害锛?#26473;?#28051;?#25652;?#29831;?#37721;?#28000;?#37807;?#37928;勯?#37510;?/p>

13銆傚姞鍣?#28601;?#38171;?#28003;?#37922;?#37828;痠mprove鐢?#37812;?#37712;?#28729;瑰緱diversity?

  • Add some artificial noise to inputs to D (Arjovsky et. al., Huszar, 2016)
  • adding gaussian noise to every layer of generator (Zhao et. al. EBGAN)

14銆?#37510;恘ot sure銆?#28598;?#29825;?#32513;僁锛岀壒鍒?#37828;?#37716;?#37731;?#28601;?#37928;勬椂鍊?#37510;?/p>

15銆?#37510;恘ot sure銆慴atch D锛屾劅瑙夎?#23676;技鏄?#37724;宲ix2pix涓?#37928;刾atchGAN鏈?#37904;瑰儚锛?/p>

16銆侰GAN锛屾垜涓鐩磋?#22794;緱CGAN杩欑?#23942;墠绗?#37722;?#27996;?#32491;?#28699;?#28052;?#37928;勬?#29882;?#37510;傚?#29111;鐨凣AN灏?#28598;?#32494;楁毚浜?#38171;屽氨濂藉儚?#31880;涔堥兘涓嶇煡閬?#38171;岀?#36346;悗涓?#28051;?#27996;篋涓嶨璁?#29825;?#27996;ゆ祦瀵?#37814;?#38171;?#27996;?#37922;?#37928;勯兘鏄?#28051;浜涘墠浜烘病鏈?#37707;?#26473;?#37928;勫伐浣?#38171;屽紑绡?#37928;勫伐浣?#38171;?#37813;浠?#23011;?#26440;?#37733;?#38341;?#28051;浜?#38171;屼絾鏄疌GAN鐨?#29831;?#28751;?#37832;?#27996;?#28051;瀹?#37928;勫墠鎻?#38171;屼?#29111;氨鏄?#37814;鏈?#32457;?#32497;?#38171;?#37813;浠?#23011;?#26440;?#32480;鍗?#28051;浜?#37510;?#37832;夌偣绫讳技绉戠爺涓?#37928;?#28598;?#37911;?#37816;栧潙锛屽紑杈?#37826;?#37826;瑰悜锛圙AN锛?#37510;?#28751;忕?#28056;~鍧?#38171;圕GAN锛?#37510;?/p>

17銆傚湪G涓?#37928;勫嚑灞?#28051;?#37922;╠ropout锛?0%锛?#37510;?#26473;?#28051;?#37832;?#28051;绡?#29825;?#37826;?#38171;?#26473;?#23052;?#37930;?#37510;?/p>

璇?#28729;?#26473;?#27996;涙劅瑙夎嚜宸辨兂瑕?#29825;?#29825;AN鐨?#29831;?#38171;屽簲璇?#37832;?#28051;郴缁?#37928;?#29825;?#29831;?#27996;?#38171;?#28051;嶄細瑙夊緱?#22172;宸?#28610;藉儚鏈?#37725;?#27996;?#38322;?#29781;?#37928;勫湴鏂?#26473;?#28051;嶇煡閬?#38171;屽緢涓嶈笍瀹?#37808;?#29785;?#37510;?#26473;欑?#23942;劅瑙夊?#35268;垜杩欑?#23941;己杩棁鐨勬劅瑙夊緢涓嶇?#34249;晩锛?#38171;?#37930;?#28729;屼互鍚庨】?#26882;鑸?#37832;?#27996;嗗?#22557;~~~

https://zhuanlan.zhihu.com/p/27725664

鏉板摜 2019-04-02 05:42 鍙戣〃璇?#29825;?/a>
]]>logitshttp://www.2676208.com/guijie/archive/2019/03/27/216316.html鏉板摜鏉板摜Tue, 26 Mar 2019 21:01:00 GMThttp://www.2676208.com/guijie/archive/2019/03/27/216316.htmlhttp://www.2676208.com/guijie/comments/216316.htmlhttp://www.2676208.com/guijie/archive/2019/03/27/216316.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216316.htmlhttp://www.2676208.com/guijie/services/trackbacks/216316.htmlWhat is the meaning of the word logits in TensorFlow?
In the following TensorFlow function, we must feed the activation of artificial neurons in the final layer. That I understand. But I don't understand why it is called logits? Isn't that a mathematical function?
loss_function = tf.nn.softmax_cross_entropy_with_logits(
     logits = last_layer,
     labels = target_output
)

For example, in the last layer of the discriminator of generative adversarial networks (GAN), we will use sigmoid(logits) to get the output of D. This is discussed with Zhengxia.
Reference:
https://stackoverflow.com/questions/41455101/what-is-the-meaning-of-the-word-logits-in-tensorflow


鏉板摜 2019-03-27 05:01 鍙戣〃璇?#29825;?/a>
]]>*.md (markdown)http://www.2676208.com/guijie/archive/2019/03/20/216303.html鏉板摜鏉板摜Tue, 19 Mar 2019 19:08:00 GMThttp://www.2676208.com/guijie/archive/2019/03/20/216303.htmlhttp://www.2676208.com/guijie/comments/216303.htmlhttp://www.2676208.com/guijie/archive/2019/03/20/216303.html#Feedback0http://www.2676208.com/guijie/comments/commentRss/216303.htmlhttp://www.2676208.com/guijie/services/trackbacks/216303.htmlFor https://github.com/scutan90/DeepLearning-500-questions/blob/master/ch07_%E7%94%9F%E6%88%90%E5%AF%B9%E6%8A%97%E7%BD%91%E7%BB%9C(GAN)/%E7%AC%AC%E4
%B8%83%E7%AB%A0_%E7%94%9F%E6%88%90%E5%AF%B9%E6%8A%97%E7%BD%91%E7%BB%9C(GAN).md, the formula doesn't show well. I asked Zhengxia, he says that markdown doesn't support formula very well. As he knows markdown doesn't support the in-line formula. He uses markdown, but he doesn't use formula in it. If you have to use formula, you can use latex. If we use Typora, at the lower left corner, select "鍚?#37922;ㄦ簮?#21804;鐮佹ā?#32033;". Change 
$$\mathop {\min }\limits_G \mathop {\max }\limits_D V(D,G) = {{\rm E}{x\sim{p{data}}(x)}}[\log D(x)] + {{\rm E}_{z\sim{p_z}(z)}}[\log (1 - D(G(z)))]$$
to make both $$ in a separate line. Select "閫?#22189;?#31790;?#21804;鐮佹ā?#32033;" and press F5 which means 鍒?#37826;? The formula will show correctly.
Google search "online markdown". For example, if we use https://dillinger.io/, copy the code from Typora to https://dillinger.io/. We will find that if we want to see the formula, we have to use in this way: $$\mathop {\min }\limits_G \mathop {\max }\limits_D V(D,G) = {{\rm E}{x\sim{p{data}}(x)}}[\log D(x)] + {{\rm E}_{z\sim{p_z}(z)}}[\log (1 - D(G(z)))]$$


鏉板摜 2019-03-20 03:08 鍙戣〃璇?#29825;?/a>
]]>
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