%PDF-1.3 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > /ExtGState > >> /Font > /ProcSet [ /PDF /Text ] >> /MediaBox [ 0 0 612 792 ] /Annots [ ] >> endobj 4 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 5 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 6 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 7 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 8 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 9 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 10 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 11 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 12 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 13 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 14 0 obj > /Group 190 0 R /MediaBox [ 0 0 612 792 ] >> endobj 15 0 obj > /Group 190 0 R /MediaBox [ 0 0 612 792 ] >> endobj 16 0 obj > /Group 190 0 R /MediaBox [ 0 0 612 792 ] >> endobj 17 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 18 0 obj > /MediaBox [ 0 0 612 792 ] >> endobj 19 0 obj > endobj 20 0 obj > stream q q 0.1 0 0 0.1 0 0 cm /R7 gs 0 g q 10 0 0 10 0 0 cm BT /R8 14.3462 Tf 1 0 0 1 160.71 666.202 Tm [ (Deep) -250.008 (Generati) 9.99625 (v) 9.99625 (e) -250 (Models) -250 (f) 24.9923 (or) -249.995 (W) 65.0011 (eakly\055Super) 10.0099 (vised) ] TJ 67.0609 -17.9328 Td [ (Multi\055Label) -249.993 ] TJ /R10 9.9626 Tf -48.7012 -34.632 Td [ (Hong\055Min) -250 (Chu) ] TJ /R12 6.9738 Tf 61.1609 3.61484 Td [ (1) -0.50062 ] TJ /R10 9.9626 Tf 4.46914 -3.61484 Td [ (\054) -249.995 (Chih\055K) 15.0073 (uan) -249.993 (Y) 99.9858 (eh) ] TJ /R12 6.9738 Tf 67.198 3.61484 Td [ (2) -0.50062 ] TJ /R10 9.9626 Tf 4.46875 -3.61484 Td [ (\054) -249.995 (and) -249.993 (Y) 111.004 (u\055Chiang) -250.005 (Frank) -249.98 (W) 79.9866 (ang) ] TJ /R12 6.9738 Tf 116.244 3.61484 Td [ (1) -0.49712 ] TJ /R14 5.9776 Tf -240.292 -20.6871 Td [ (1) -0.09802 ] TJ /R10 8.9664 Tf 8.63398 -3.80898 Td [ (Colle) 15 (ge) -249.997 (of) -249.992 (EECS\054) -249.978 (National) -250 (T) 79.9807 (aiw) 10 (an) -249.997 (Uni) 25.0066 (v) 14.9865 (ersity) 64.9887 (\054) -250 (T) 79.9807 (aipei\054) -250.019 (T) 79.9807 (aiw) 9.99826 (an) ] TJ /R16 8.9664 Tf 29.6238 -10.959 Td [ (f) -0.90126 ] TJ /R18 8.9664 Tf 4.6082 0 Td (r04922031\054ycwang) Tj /R16 8.9664 Tf 86.077 0 Td [ (g) -0.90126 ] TJ /R18 8.9664 Tf 4.60781 0 Td (\100ntu\056edu\056tw) Tj /R14 5.9776 Tf -161.439 -7.15 Td [ (2) -0.09802 ] TJ /R10 8.9664 Tf 8.63398 -3.80898 Td [ (Machine) -249.978 (Learning) -249.984 (Department\054) -250.011 (Carne) 14.992 (gie) -249.989 (Mellon) -250.019 (Uni) 25.0066 (v) 14.9865 (ersity) 64.9887 (\054) -250 (Pittsb) 20.002 (ur) 18.0197 (gh\054) -250 (USA) ] TJ /R18 8.9664 Tf 91.5742 -10.9578 Td (cjyeh\100cs\056cmu\056edu) Tj /R8 8.9664 Tf -101.528 -40.5449 Td (Abstract\056) Tj /R10 8.9664 Tf 1.001 0 0 1 203.697 519.335 Tm [ (In) -248.997 (order) -248.018 (to) -248.986 (train) -247.999 (learning) -249.013 (models) -249.016 (for) -247.982 (multi\055label) -248.997 -248.004 (\050MLC\051\054) ] TJ 1.02 0 0 1 163.111 508.376 Tm [ (it) -351.998 (is) -352.004 (typically) -351.994 (desirable) -352.018 (to) -352.01 (ha) 19.0038 (v) 15.0157 (e) -352.01 (a) -352.01 (lar) 16.991 (ge) -351.986 (amount) -352.018 (of) -351.98 (fully) -352.015 (annotated) -351.983 (multi\055label) ] TJ 1 0 0 1 163.111 497.417 Tm [ (data\056) -250.987 (Since) -250.991 (such) -250.997 (annotation) -250.991 (proce) 0.99384 (ss) -251.016 (is) -251.01 (in) -251.016 (general) -251 (costly) 65.0023 (\054) -251.002 (we) -251.008 (focus) -251.01 (on) -250.98 (the) -249.989 (learning) ] TJ 0.989 0 0 1 163.111 486.458 Tm [ (task) -250.993 (of) -251.995 (weakly\055supervised) -251.005 (multi\055label) -251.002 -250.988 (\050WS\055MLC\051\056) -251.985 (In) -250.983 (this) -251.013 (paper) 39.9974 (\054) -250.98 (we) ] TJ 1.001 0 0 1 163.111 475.499 Tm [ (tackle) -247.99 (WS\055MLC) -249 (by) -247.99 (learning) -248.012 (deep) -249.013 (generati) 25.0142 (v) 14.9933 (e) -247.999 (models) -248.015 (for) -248.983 (describing) -247.99 (the) -247.993 (collected) ] TJ 0.981 0 0 1 163.111 464.54 Tm [ (data\056) -254.011 (In) -254.004 (particular) 39.9877 (\054) -254.001 (we) -253.985 (introduce) -253.979 (a) -253.979 (sequential) -255 (netw) 11.0024 (ork) -254.984 (architecture) -254.007 (for) -253.985 (constructing) ] TJ 1.02 0 0 1 163.111 453.581 Tm [ (our) -352 (generati) 23.9823 (v) 15.0157 (e) -352.01 (model) -352.979 (with) -352.007 (the) -351.994 (ability) -351.991 (to) -352.992 (approximate) -351.988 (observ) 15.0023 (ed) -353.011 (data) -352.02 (posterior) ] TJ 1.004 0 0 1 163.111 442.622 Tm [ (distrib) 20.0064 (utions\056) -249.007 (W) 79.982 (e) -250.01 (sho) 25.0208 (w) -248.98 (that) -248.996 (ho) 24.9856 (w) -248.98 (information) -249.015 (of) -249.02 (training) -250.002 (data) -249.012 (with) -249.007 (missing) -249.004 (labels) ] TJ 0.98 0 0 1 163.111 431.664 Tm [ (or) -252.98 (unlabeled) -252.982 (ones) -252.004 (can) -252.993 (be) -252.982 (e) 15.0145 (xploited\054) -252.013 (which) -253.01 (allo) 25 (ws) -252.021 (us) -252.991 (to) -252.988 (learn) -253.021 (multi\055label) -252.985 1.00578 (rs) ] TJ 0.99 0 0 1 162.887 420.705 Tm [ (via) -252.007 (scalable) -250.988 (v) 25.0061 (ariational) -252.008 (i) 0.98462 (nferences\056) -252 (Empirical) -252.011 (studies) -250.985 (on) -252 (v) 25.0061 (arious) -250.982 (scales) -252.019 (of) -250.985 (datasets) ] TJ 1.012 0 0 1 163.111 409.746 Tm [ (demonstrate) -246.005 (the) -246.008 (ef) 24.9791 (fecti) 24.9979 (v) 13.9774 (eness) -245.984 (of) -246.019 (our) -245.989 (proposed) -246.019 (model\054) -245.984 (which) -245.992 (performs) -246.013 (f) 10.0035 (a) 20.0123 (v) 19.0168 (orably) ] TJ 1 0 0 1 163.111 398.787 Tm [ (ag) 4.99096 (ainst) -250.019 (state\055of\055the\055art) -249.997 (MLC) -250.008 (algorithms\056) ] TJ /R8 8.9664 Tf 21.8941 TL T* [ (K) 25.0147 (eyw) 9.99146 (ords\072) ] TJ /R10 8.9664 Tf 0.999 0 0 1 209.117 376.893 Tm [ (Multi\055label) -248.021 -248.98 (generati) 24.9825 (v) 14.9797 (e) -247.988 (models\054) -247.983 (semi\055supervised) -249.018 (learn\055) ] TJ 1 0 0 1 163.111 365.934 Tm [ (ing\054) -249.992 (weakly\055supervised) -249.978 (learning) ] TJ /R8 11.9552 Tf -28.3461 -33.7129 Td [ (1) -1000 (Intr) 18.0146 (oduction) ] TJ /R10 9.9626 Tf 1.02 0 0 1 134.765 308.405 Tm [ (Multi\055label) -266.986 -267.011 (\050MLC\051) -266.983 (solv) 14.9869 (es) -267.009 (the) -266.987 (problem) -267.014 (of) -267.009 (assigning) -267 (multiple) -267.016 (labels) -266.987 (to) -267.002 (a) ] TJ 11.9551 TL T* [ (single) -264.998 (input) -264.99 (instance\054) -264.986 (which) -266.005 (has) -265.003 (been) -265.005 (seen) -264.988 (in) -265 (a) -264.993 (v) 23.994 (ariety) -264.984 (of) -265.01 (applications) -264.998 (in) -265.003 (the) -265.988 -265.003 (of) ] TJ 1 0 0 1 134.765 284.495 Tm [ (machine) -249.982 (learning\054) -250.017 (computer) -250.015 (vision\054) -250 (data) -249.995 (mining\054) -249.993 (and) -249.993 (bio\055informatics) -249.988 (\13328\054) -166.002 (2\054) -166.982 (9\135\056) ] TJ 0.991 0 0 1 149.709 272.54 Tm [ (Lik) 9.99393 (e) -251.003 (most) -252.018 -251.019 (algorithms\054) -251.993 (one) -251.014 (typically) -252.011 (needs) -250.982 (a) -251.991 (lar) 17.9948 (ge) -250.989 (number) -251.981 (of) -251.996 (dat) 1.0188 (a) -251.991 (with) ] TJ 1.005 0 0 1 134.765 260.585 Tm [ (ground) -248.02 (truth) -249.01 (labels\054) -248.017 (so) -247.988 (that) -249 (the) -248.01 (associated) -247.988 (MLC) -248.985 (model) -247.995 (can) -248.015 (be) -249.012 (learned) -247.998 (with) -249.017 (satisf) 10.012 (actory) ] TJ 0.994 0 0 1 134.765 248.629 Tm [ (performance\056) -251.996 (Ho) 25.0173 (we) 24.9914 (v) 15.0141 (er) 39.9956 (\054) -251.987 (for) -251.997 (the) -252.998 (task) -251.987 (of) -251.997 (MLC\054) -253.008 (collecting) -252.009 (fully) -252 (annotated) -251.995 (data) -253 (w) 10.0044 (ould) -252 (tak) 9.98965 (e) ] TJ 0.99 0 0 1 134.765 236.674 Tm [ (e) 14.9968 (xtensi) 25.0057 (v) 15.9844 (e) -254.002 (ef) 25.0156 (forts) -253.996 (and) -253.993 (costs\056) -253.998 (Ho) 26.0033 (w) -253.991 (to) -253.993 (alle) 24.9859 (viate) -254.01 (the) -254.005 (abo) 15.9955 (v) 14.9955 (e) -254.003 (limitation) -254.01 (for) -254.005 (designing) -252.993 (ef) 25.0156 (fecti) 24.9859 (v) 14.9955 (e) ] TJ 1.02 0 0 1 134.765 224.719 Tm [ (MLC) -266.005 (models) -265.99 (becomes) -266 (a) -265.993 (challenging) -266.01 (yet) -265.988 (practical) -265.993 (task\056) -266.019 (T) 77.9858 (o) -266 (be) -265.986 (more) -265.99 -265.993 (it) -266.007 (w) 10.0089 (ould) ] TJ 1.016 0 0 1 134.765 212.764 Tm [ (be) -247.017 (desirable) -247.006 (to) -246.995 (train) -246.01 (MLC) -246.987 (models) -246.999 (using) -246.987 (training) -247.016 (data) -246.989 (with) -246.982 (only) ] TJ /R20 9.9626 Tf 253.415 0 Td (partial) Tj /R10 9.9626 Tf 29.5975 0 Td [ (labels\054) -247.006 (or) -246.987 (e) 25.0122 (v) 15.017 (en) ] TJ 1.017 0 0 1 134.765 200.809 Tm [ (some) -245.019 (training) -245.988 (data) -244.992 (with) ] TJ /R20 9.9626 Tf 96.1183 0 Td (empty) Tj /R10 9.9626 Tf 26.2356 0 Td [ (label) -245.004 (sets) -245.982 (observ) 15.007 (ed\056) -245.982 (Thus\054) -245.004 (learning) -246.002 (MLC) -245 (models) -245.997 (under) ] TJ 1.02 0 0 1 134.765 188.854 Tm [ (the) -279.018 (abo) 15.0194 (v) 14.9977 (e) -278.986 (settings) -279.007 (can) -279.005 (be) -279.017 (formalized) -278.995 (as) -278.003 (a) -278.986 (weakly\055supervised) -279.019 (setting\056) -279.005 (The) -278.99 (dif) 24.9814 (ferences) ] TJ 0.997 0 0 1 134.765 176.898 Tm [ (between) -252 (weakly\055supervised) -252 (MLC) -252.011 (and) -253.004 (related) -252.013 (MLC) -252.011 (settings) -252 (are) -251.998 (summarized) -252.018 (in) -252.018 (T) 80.0061 (able) -251.984 (1\056) ] TJ 1.02 0 0 1 134.456 164.943 Tm [ (The) -275.99 (goal) -276.014 (of) -276.004 (this) -275.013 (paper) -276.006 (is) -276.018 (to) -275.994 (present) -275.985 (an) -275.98 (ef) 24.991 (fecti) 25.0054 (v) 14.9989 (e) -275.987 (weakly\055supervised) -275.982 (MLC) -275.997 (\050WS\055MLC\051) ] TJ 1 0 0 1 134.765 152.988 Tm [ (model) -250.012 (by) -249.988 (adv) 24.9824 (ancing) -249.983 (deep) -249.995 (learning) -250.02 (techniques\056) ] TJ 1.011 0 0 1 149.709 141.033 Tm [ (A) -246.012 (number) -246.015 (of) -247.016 (MLC) -246.01 (approaches) -245.995 (which) -245.995 (utilize) -247.006 (partially) -246.007 (labeled) -246.017 (data) -246.017 (e) 14.0199 (xist) -245.998 (\050i\056e\056\054) -246.012 (some) ] TJ 1.02 0 0 1 134.765 129.078 Tm [ (training) -338.981 (data) -340.01 (are) -338.986 (only) -338.986 (with) -339.986 (partial) -338.981 (ground) -338.981 (truth) -340.002 (label) -339.01 (information) -339.017 (observ) 14.0019 (ed\051) -338.996 (\13331\054) -162.997 (32\054) ] TJ ET Q Q Q q q 1 1 1 rg /a0 gs 48.406 786.422 515.188 -52.699 re f q /s5 gs /x6 Do Q q /s7 gs /x8 Do Q q /s9 gs /x10 Do Q q /s11 gs /x12 Do Q Q Q endstream endobj 21 0 obj > >> /XObject > >> /Length 28 /Group > /BBox [ 123 744 519 776 ] /Type /XObject /Subtype /Form >> stream xœ+äÒO4PH/VЯ02QpÉç ä