From 9663a2fa874b88b922ee48fc770cbc4adc5dc3a5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Louis=20Brul=C3=A9=20Naudet?= Date: Sun, 4 Feb 2024 00:25:13 +0100 Subject: [PATCH] Thumbnail upload --- README.md | 2 ++ thumbnail.png | Bin 0 -> 102164 bytes 2 files changed, 2 insertions(+) create mode 100644 thumbnail.png diff --git a/README.md b/README.md index 1195432..57051b8 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,8 @@ The acquisition of sentence embeddings often necessitates a substantial volume o The TSDAE schema comprises two components: an encoder and a decoder. Throughout the training process, TSDAE translates tainted sentences into uniform-sized vectors, necessitating the decoder to reconstruct the original sentences utilizing this sentence embedding. For good reconstruction quality, the semantics must be captured well in the sentence embeddings from the encoder. Subsequently, during inference, the encoder is solely utilized to form sentence embeddings. +![Plot](https://github.com/louisbrulenaudet/tsdae/blob/main/thumbnail.png?raw=true) + Moreover, TSDAE serves as an effective pre-training technique, surpassing the classical Mask Language Model (MLM) pre-training task in performance. ## Dependencies diff --git a/thumbnail.png b/thumbnail.png new file mode 100644 index 0000000000000000000000000000000000000000..b1dfaf00c8c83b9c9ddc8b9a1dfa7a4dd3d53605 GIT binary patch literal 102164 zcmeEvcUY6>*KpicsT2Xh1qxLZD~MK65P}1#gW;qOh=PcyESVCLU|q;CwGLEfp$g7a zWv@_Ws0fHC2!Vtln-FFKWPRs;GRXVu`(3_&f8U$y>P4UA9%r9(pL6cVt9CY4-_Mvg z1Bb(Xzx|i3dvLg!92{=i&FNF&n^@HnZ}>C8XOGop+_Ulpo$xT(b(8fb9PT-Frr_8V zc>d1omxDeyoPjR-Z$jXGygv>nzQ29zrhS2qJq>0jj}Vz(`mGaxoI#!b+cMjIcM@J* znyI0`FU9Lm_#Z>~v-#2@ofNMocsj3T*Ys+_mLs80W||dVnz2Qxd-J8Zgpe5;2B`^~ zkL(LAn(#8^!z6 zuKwR`W#st(kjTzX&d$1r4;|_Xs;;h{;p*eFhEZ3ybuGB$HvA!YmLTlJa;y& zMs!74+tG5Ys;cVJVoI`Vd!=AW2%F9Bd3{B>wz6_Jm(9o!%$XSJ!?4g~QBybw@n5YuB#h%32%W+>VN>V)F51!JXK+xV9){ zNhF^DTTr)sj!Bij7>Pt8ayrl>FL-n{k=t`H{qMhjFMI!9ZK}{{@7}$g>-$S_o~(Rp zf?8&7?)wUL*$TLKx}c(`41W`}w6q|2m-kS{hB_mOJ=DA*&ogKKYAIog`bcwMO`bPwu%S4tj$(GP-U? z7OY<=Lex}~Bk*A%SO$ym!NI|vhMa)qb<{v{(0h7j<{fuW&*a8&<7Bb~5Y7Cjwbg~& z^!mz~bLTch-@7-q{|!Yf67~#t*VOVjtU+fv&=y8$*(+p`;4W!wX!&6Rq2k1e6VG%+ zUrfbS$+j;m;_T7Oim7WS-_FcgpWQA{TEtE_6s(dtT z$%?QM9+x|?MZU78CFo6v>Bo8fAbRUfO-)Ock%PiMM{fd8alK!9dp*{zS#x8e=1K#r z&=P(_q|yD_(b1vbh~3^k9{OcLqY#vMnhG+72^$ZEv#ZS}(;Vz7w{ z(7PZWN1Qh#ad}3T4d;Bq-F@X00k5~A6v-e>j>xKAh@?hUV8ZU-zpvJ3Xkc&xl;VxD zTv?9(iY?GFFtD1~*SKlMi2Z>B1LK=twnPMcP+ngC0^~xi&(p)B?Xes*r3;9R5epYC zbOA=YzO&|!$Vl8d{qwxq=4PiEBk_2OBILio zY}^arz?rjWS5FaKxpGB;pciz2CX3F24GQD6x3#^{#*@D)fb|=I74lc*$>ZVS;maFY zU%n`AI~lgc+1uFKz69M@>!XMS8^-CGKtS7)TftT@XVL>Wj{fJ)-5tm2gEE>-f1a9p zbD}6MEiG8ih!8R|EF+O%$0Rxm=#-Bm+i?qlv>6=a&VEp1-b?sdfsjL+fy@?vZcDmu z7Cf?QiU63cIQbHqoIY#TtUbASGqYHdSY)OE@?iwBM`~_v%tX=f@UQ|*9!MTDD{E^H zt^n$5{jTiaRG#s{PX`vsC)EB;b;Y=T*MQL zSoVXhrBQ+(WGIFVAc|>jr}G;)LNl~2u2(#ijCY}omJ$X&=j>JElnguj z?qhF|9~X>OIFl^4>#WWTS4mxcMl7fh#|T9{I_=0ZRuJitSFC2lBlC9Ic8yDcb<6%S zqzeY3-=sddTA+S;`EQ;2=De_HH!_Jo?;HM)b-$~-^uQ%DkF#bMW#qN?jQ9YffQKDp zp**WC`{Uv4CHZ)%`pv}MY<$)t#EVBOM%VtizuvevUev>8tDAG2ve&*TNy6s5UNk<( zZVoobmNK^Y*zrTveTON67Hx_TzGz+pf1tJ0v$yn4Sy`DtGh=>nOJxw*s99LKDztrp zY|ES0Wz%p=u73IXRg+CSU6>(0pqX5(l^lMJq(51T>w!9`t6%RQUX`|iA{vYzbOy~Mr;STv$ZizfhRx-=NU~EESA^-IfCT$Kic7!HWm+;;!6g zG3$ip^T3RtET(Z5*->b2-ZVDqceWwhOyu`EaO0s0!v_wz+BL>;HAEt@^Q?1omUfAD zA*q(u&0|~N%V-&6x!=vueMUG!&b9g3kiMa;<{HCei}5p-p-?2e*w)P)?rz8xH~)Q1 zlY4rl4ARfw8AHOt?z~)Pu62B*PQToA;>X0&mG{8C_aJ_fyUNvLYd91!U+|%~uvH_L zHT=8rZ#{`EzNX#_r>RW8GW~40K~hbLu@kF$Fs$9quz6j2oc()i74LfErzM^mrcuLz zYOxQ7&9CxvI`U7)20l|>!OXYrCe5$O`0T*E7O152vtiJz)admdF%RPD$sTb&##g&P zl=-Z7)a8>F8g!@4k%Ag>3h9RBt%V$(>OOEJ{%HXn{@1+=a~t$$1Ric_^GIxFoUr3j zaxBcXt~jd2+E1qEh31g}V(YMLtlrW|E@oPmC3JFZ^XLKJnCJ&JCCS>BH7(g5I(=4oO2wivRAOgcjlSO}f)pW{*Mo7&*BMF9bH6w5gk_&v4(>fu$=v+oP zH@tqRduFU?p+;=_jrJosHL;mg6ZNR7w=S3bc?a*((q!Q5LxGU~BZs~XDS`B5U)lbK z>_3-f=daACKXbTQXK*I6AiZOxq35~jz9mf00KTbulV4>g&DMCgUuD#HCRv_`ZB?tR ze?8)#t6foPlQjH=5mb5Z=5X-x?4Gup=S-W!bu4M~jT$a;tSzbMb|u#&ccjK{Y!7oh zOgzW#-nZXT&caM0CgjJ8`IhYqRZbRWHJs9@3QnE6|{M|Z-+>cqj$pXX`)l^K7C zX0nCSWtSkwqLYHr;Y+aZ9o>AGm_F;6%Xm)hI z(ucRFcUN|rWEogyB-Jpyq7zHAOUHTAdmAIdvayJ{TXP9&ed&xUlHNLFV~P*Cq31h# z1GA+i$g#$wqA9QN@&2p4ExQZqJHeaOB@Uj-(`GEsrkI+!cXv8vf0tMq!7~*)75eoD z8<@}>b$UG19Xxi`W+ZiFsh<{}3?P}D>m3TpPOPaWJBmH_r2Qudr+)1x=j0jleDW

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