premise string | hypothesis string | label int64 |
|---|---|---|
| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 | | | 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |
| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 | | 1 |
| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 | | | 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |
| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |
| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |
| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |
| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 | | 0 |
| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |
| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 | | | 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 | | 1 |
| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |
| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 | | | 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |
| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |
| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 | | 0 |
| System | Models | R-1 | R-2 | R-SU4 | Coherence |
| --- | --- | --- | --- | --- | --- |
| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |
| GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 | | | | State-of-the-art | Submodular | 39.18 | 9.35 | 14.22 | 0.51 |
| --- | --- | --- | --- | --- | --- |
| ICSISumm | 38.41 | 9.78 | 13.31 | 0.44 | |
| ProposedSystem | ILPRankSumm | 39.45 | 10.12 | 14.09 | 0.68 | | 1 |
| System | Models | R-1 | R-2 | R-SU4 | Coherence |
| --- | --- | --- | --- | --- | --- |
| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |
| GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 | | | | Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |
| --- | --- | --- | --- |
| Ours | 1 | 6.71 | 1.79 |
| Ours | 2 | 6.74 | 1.73 |
| Ours | 4 | 6.82 | 1.81 |
| Slow | 1 | 4.70 | 1.19 |
| Slow | 2 | 5.78 | 1.57 |
| Slow | 4 | 6.38 | 1.39 |
| VAE | 1 | 1.08 | 1.27 |
| VAE | 2 | 1.70 | 1.24 |
| VAE | 4 | 1.71 | 1.35 | | 0 |
| System | Models | R-1 | R-2 | R-SU4 | Coherence |
| --- | --- | --- | --- | --- | --- |
| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 | | | GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 | |
| --- | --- | --- | --- | --- | --- |
| State-of-the-art | Submodular | 39.18 | 9.35 | 14.22 | 0.51 |
| ICSISumm | 38.41 | 9.78 | 13.31 | 0.44 | |
| ProposedSystem | ILPRankSumm | 39.45 | 10.12 | 14.09 | 0.68 | | 1 |
| System | Models | R-1 | R-2 | R-SU4 | Coherence |
| --- | --- | --- | --- | --- | --- |
| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 | | | Ours | 2 | 6.74 | 1.73 |
| --- | --- | --- | --- |
| Ours | 4 | 6.82 | 1.81 |
| Slow | 1 | 4.70 | 1.19 |
| Slow | 2 | 5.78 | 1.57 |
| Slow | 4 | 6.38 | 1.39 |
| VAE | 1 | 1.08 | 1.27 |
| VAE | 2 | 1.70 | 1.24 |
| VAE | 4 | 1.71 | 1.35 | | 0 |
| DBGEN(3d) | |
| --- | --- |
| #ofblocks | sortfusionindexingtotalsize |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 | | | Netflix(3d) | |
| --- | --- |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 487-5581045129<br>360855721017264<br>32687575986318<br>23086601917806<br>--6896891552 | | 1 |
| DBGEN(3d) | |
| --- | --- |
| #ofblocks | sortfusionindexingtotalsize |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |
| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| DBGEN(3d) | |
| --- | --- |
| #ofblocks | sortfusionindexingtotalsize |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 | | | Netflix(3d) | |
| --- | --- |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 487-5581045129<br>360855721017264<br>32687575986318<br>23086601917806<br>--6896891552 | | 1 |
| DBGEN(3d) | |
| --- | --- |
| #ofblocks | sortfusionindexingtotalsize |
| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 | | | 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| --- | --- | --- |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| SPP-CNN | | | |
| --- | --- | --- | --- |
| Baseline | Raw | SVMclass. | bboxregress. | | | 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 |
| --- | --- | --- | --- |
| SelectiveSearch<br>EdgeBoxes | 31.40<br>31.29 | 33.50<br>35.12 | 43.50<br>39.63 |
| CC-Pairwise<br>CC-HOR<br>CC-HOR-Elongation | 36.37<br>37.68<br>36.25 | 21.44<br>34.20<br>34.30 | 31.19<br>48.19<br>48.40 |
| RelaxedNMSDetector | 34.40 | 42.77 | 48.27 | | 1 |
| SPP-CNN | | | |
| --- | --- | --- | --- |
| Baseline | Raw | SVMclass. | bboxregress. | | | Accuracy | | |
| --- | --- | --- |
| Pred.Events | GTEvents | |
| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |
| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |
| Ours | 0.765 | 0.793 | | 0 |
| SPP-CNN | | | |
| --- | --- | --- | --- |
| Baseline | Raw | SVMclass. | bboxregress. |
| 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 | | | SelectiveSearch<br>EdgeBoxes | 31.40<br>31.29 | 33.50<br>35.12 | 43.50<br>39.63 |
| --- | --- | --- | --- |
| CC-Pairwise<br>CC-HOR<br>CC-HOR-Elongation | 36.37<br>37.68<br>36.25 | 21.44<br>34.20<br>34.30 | 31.19<br>48.19<br>48.40 |
| RelaxedNMSDetector | 34.40 | 42.77 | 48.27 | | 1 |
| SPP-CNN | | | |
| --- | --- | --- | --- |
| Baseline | Raw | SVMclass. | bboxregress. |
| 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 | | | Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |
| --- | --- | --- |
| Ours | 0.765 | 0.793 | | 0 |
| ElementsinNetworkUserBehaviorModeling |
| --- |
| User |
| TupleofDomains/Locations/Time | | | ValueforTuple(TotalBytes/Duration/RequestNumbers) |
| --- |
| UserClustering | | 1 |
| ElementsinNetworkUserBehaviorModeling |
| --- |
| User |
| TupleofDomains/Locations/Time | | | Parameter | Value | Meaning |
| --- | --- | --- |
| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |
| saveGraph | boolean | Savethegraphsdereferenced |
| maxSize | int | trafficlimit(inMBs) |
| timeoutDer | long | connectiontime-out |
| timeout | long | totaltime-out |
| domains | List¡String¿ | trustedservers | | 0 |
| ElementsinNetworkUserBehaviorModeling |
| --- |
| User |
| TupleofDomains/Locations/Time | | | ValueforTuple(TotalBytes/Duration/RequestNumbers) |
| --- |
| UserClustering | | 1 |
| ElementsinNetworkUserBehaviorModeling |
| --- |
| User |
| TupleofDomains/Locations/Time | | | timeoutDer | long | connectiontime-out |
| --- | --- | --- |
| timeout | long | totaltime-out |
| domains | List¡String¿ | trustedservers | | 0 |
| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |
| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |
| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |
| frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 | | | langford-4-10<br>(unsat) | random<br>lexico | 61,2<br>65,9 | 229,8<br>238,2 | 75,4<br>101,2 | 155,7<br>183,4 | 255,7<br>289,3 | 249,6<br>301,1 | 280,5<br>106,7 | 83,8<br>70,3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-12-12-2<br>(unsat) | random<br>lexico | 55,6<br>50,7 | 74,5<br>67,6 | 82,4<br>79,3 | 51,2<br>65 | 423,9<br>523,6 | 437,2<br>555,6 | 55,8<br>49,1 | 54,8<br>54,3 |
| ash958GPIA-4<br>(sat) | random<br>lexico | 5,3<br>12,8 | 35,6<br>36,8 | 242,2<br>299,2 | 106,6<br>111,4 | 515,4<br>>1h | 450,1<br>>1h | 3,8<br>11,6 | 3,9<br>1,2 | | 1 |
| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |
| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |
| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |
| frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 | | | Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |
| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |
| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |
| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |
| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |
| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |
| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |
| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 | | 0 |
| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |
| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |
| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 | | | frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| langford-4-10<br>(unsat) | random<br>lexico | 61,2<br>65,9 | 229,8<br>238,2 | 75,4<br>101,2 | 155,7<br>183,4 | 255,7<br>289,3 | 249,6<br>301,1 | 280,5<br>106,7 | 83,8<br>70,3 |
| cc-12-12-2<br>(unsat) | random<br>lexico | 55,6<br>50,7 | 74,5<br>67,6 | 82,4<br>79,3 | 51,2<br>65 | 423,9<br>523,6 | 437,2<br>555,6 | 55,8<br>49,1 | 54,8<br>54,3 |
| ash958GPIA-4<br>(sat) | random<br>lexico | 5,3<br>12,8 | 35,6<br>36,8 | 242,2<br>299,2 | 106,6<br>111,4 | 515,4<br>>1h | 450,1<br>>1h | 3,8<br>11,6 | 3,9<br>1,2 | | 1 |
| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |
| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |
| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 | | | scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |
| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |
| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |
| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |
| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |
| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 | | 0 |
| patientname | age | id | trestbps | chol | thalach |
| --- | --- | --- | --- | --- | --- |
| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |
| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) | | | E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |
| --- | --- | --- | --- | --- | --- |
| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |
| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) | | 1 |
| patientname | age | id | trestbps | chol | thalach |
| --- | --- | --- | --- | --- | --- |
| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |
| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) | | | PatientID | GrayMatter | WhiteMatter | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |
| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |
| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |
| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 | | 0 |
| patientname | age | id | trestbps | chol | thalach |
| --- | --- | --- | --- | --- | --- |
| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) | | | E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |
| --- | --- | --- | --- | --- | --- |
| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |
| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |
| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) | | 1 |
| patientname | age | id | trestbps | chol | thalach |
| --- | --- | --- | --- | --- | --- |
| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) | | | B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |
| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 | | 0 |
| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |
| --- | --- | --- | --- | --- | --- |
| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |
| 1/2 | 1577 | 1307 | 1016 | 776 | |
| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 | | | 1/2 | 6585 | 4984 | 4399 | 3501 | |
| --- | --- | --- | --- | --- | --- |
| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |
| 1/2 | 27357 | 19839 | 18763 | 15305 | | | 1 |
| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |
| --- | --- | --- | --- | --- | --- |
| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |
| 1/2 | 1577 | 1307 | 1016 | 776 | |
| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 | | | 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 |
| 349 | 1 |
| 446 | 2 |
| 307 | 1 |
| 1472 | 142 |
| 332 | 1 |
| 941 | 81 |
| 646 | 39 |
| 1922 | 201 |
| 623 | 38 |
| 405 | 12 |
| 527 | 22 |
| 491 | 24 |
| 531 | 23 |
| 474 | 27 |
| 515 | 22 |
| 856 | 104 |
| 424 | 17 |
| 515 | 37 |
| 403 | 17 |
| 1615 | 186 | | 0 |
| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |
| --- | --- | --- | --- | --- | --- |
| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |
| 1/2 | 1577 | 1307 | 1016 | 776 | | | | 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 |
| --- | --- | --- | --- | --- | --- |
| 1/2 | 6585 | 4984 | 4399 | 3501 | |
| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |
| 1/2 | 27357 | 19839 | 18763 | 15305 | | | 1 |
| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |
| --- | --- | --- | --- | --- | --- |
| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |
| 1/2 | 1577 | 1307 | 1016 | 776 | | | | 403 | 17 |
| --- | --- |
| 1615 | 186 | | 0 |
| 3.813 | 4.856 |
| --- | --- |
| 4.960 | 5.494 | | | 4.587 | 5.116 |
| --- | --- |
| 4.813 | 5.255 |
| 7.609 | 9.448 |
| 4.533 | 4.550 |
| 5.573 | 6.151 | | 1 |
| 3.813 | 4.856 |
| --- | --- |
| 4.960 | 5.494 | | | 0.646 | 0.625 | 0.812 |
| --- | --- | --- |
| - | 0.378 | - |
| - | - | 0.847 |
| - | - | - |
| 0.555 | 0.448 | 0.626 |
| - | 0.374 | - |
| - | - | - |
| 0.494 | - | 0.631 | | 0 |
| 3.813 | 4.856 |
| --- | --- |
| 4.960 | 5.494 | | | 4.587 | 5.116 |
| --- | --- |
| 4.813 | 5.255 |
| 7.609 | 9.448 |
| 4.533 | 4.550 |
| 5.573 | 6.151 | | 1 |
| 3.813 | 4.856 |
| --- | --- |
| 4.960 | 5.494 | | | - | - | 0.847 |
| --- | --- | --- |
| - | - | - |
| 0.555 | 0.448 | 0.626 |
| - | 0.374 | - |
| - | - | - |
| 0.494 | - | 0.631 | | 0 |
| Algorithm | NAUC | |
| --- | --- | --- |
| FAR=0.001 | FAR=1 | |
| MI-SMF | 0.998 | 1.000 | | | MI-ACE | 1.000 | 1.000 |
| --- | --- | --- |
| eFUMI | 0.998 | 1.000 |
| EMDD | 0.210 | 0.772 |
| EMDD-P | 0.776 | 0.987 |
| DMIL | 0.798 | 0.991 |
| mi-SVM | 0.671 | 0.989 | | 1 |
| Algorithm | NAUC | |
| --- | --- | --- |
| FAR=0.001 | FAR=1 | |
| MI-SMF | 0.998 | 1.000 | | | Model/Algorithm | MNIST | Caltech101 | US-CT | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | DC | mIoU | DC | mIoU | DC | mIoU |
| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |
| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |
| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |
| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 | | 0 |
| Algorithm | NAUC | |
| --- | --- | --- |
| FAR=0.001 | FAR=1 | |
| MI-SMF | 0.998 | 1.000 | | | MI-ACE | 1.000 | 1.000 |
| --- | --- | --- |
| eFUMI | 0.998 | 1.000 |
| EMDD | 0.210 | 0.772 |
| EMDD-P | 0.776 | 0.987 |
| DMIL | 0.798 | 0.991 |
| mi-SVM | 0.671 | 0.989 | | 1 |
| Algorithm | NAUC | |
| --- | --- | --- |
| FAR=0.001 | FAR=1 | |
| MI-SMF | 0.998 | 1.000 | | | DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |
| --- | --- | --- | --- | --- | --- | --- |
| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |
| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |
| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 | | 0 |
| σ | Dataset:waterfall | | | |
| --- | --- | --- | --- | --- |
| ReLD | VBM3D | MLP | PCP-LD | |
| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |
| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |
| σ | NCRPCA-LD | GRASTA-LD | | |
| 50 | 30.48(128.35) | 25.33(58.23) | | |
| 70 | 27.97(133.53) | 21.89(55.45) | | |
| σ | Dataset:fountain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |
| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |
| σ | Dataset:escalator | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |
| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |
| σ | Dataset:curtain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |
| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |
| σ | Dataset:lobby | | | |
| ReLD | VBM3D | MLP | SLMA | | | | 50 | 35.15(58.41) | 29.23(19.35) | 18.66(403.59) | 18.21(3.99×10) |
| --- | --- | --- | --- | --- |
| 70 | 29.68(56.51) | 24.90(17.00) | 14.85(401.29) | 16.82(4.09×10) | | 1 |
| σ | Dataset:waterfall | | | |
| --- | --- | --- | --- | --- |
| ReLD | VBM3D | MLP | PCP-LD | |
| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |
| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |
| σ | NCRPCA-LD | GRASTA-LD | | |
| 50 | 30.48(128.35) | 25.33(58.23) | | |
| 70 | 27.97(133.53) | 21.89(55.45) | | |
| σ | Dataset:fountain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |
| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |
| σ | Dataset:escalator | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |
| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |
| σ | Dataset:curtain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |
| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |
| σ | Dataset:lobby | | | |
| ReLD | VBM3D | MLP | SLMA | | | | σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |
| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |
| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |
| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) | | 0 |
| σ | Dataset:waterfall | | | |
| --- | --- | --- | --- | --- |
| ReLD | VBM3D | MLP | PCP-LD | |
| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |
| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |
| σ | NCRPCA-LD | GRASTA-LD | | |
| 50 | 30.48(128.35) | 25.33(58.23) | | | | | 70 | 27.97(133.53) | 21.89(55.45) | | |
| --- | --- | --- | --- | --- |
| σ | Dataset:fountain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |
| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |
| σ | Dataset:escalator | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |
| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |
| σ | Dataset:curtain | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |
| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |
| σ | Dataset:lobby | | | |
| ReLD | VBM3D | MLP | SLMA | |
| 50 | 35.15(58.41) | 29.23(19.35) | 18.66(403.59) | 18.21(3.99×10) |
| 70 | 29.68(56.51) | 24.90(17.00) | 14.85(401.29) | 16.82(4.09×10) | | 1 |
| σ | Dataset:waterfall | | | |
| --- | --- | --- | --- | --- |
| ReLD | VBM3D | MLP | PCP-LD | |
| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |
| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |
| σ | NCRPCA-LD | GRASTA-LD | | |
| 50 | 30.48(128.35) | 25.33(58.23) | | | | | 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |
| --- | --- | --- | --- | --- |
| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |
| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) | | 0 |
| Projectname | From | To | Days | Commits |
| --- | --- | --- | --- | --- |
| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |
| Convalot | 09/12/10 | 06/25/11 | 286 | 406 | | | Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |
| --- | --- | --- | --- | --- |
| MobileNotifier | 09/11/10 | 10/17/11 | 401 | 450 |
| Notebook | 11/18/10 | 04/06/11 | 139 | 326 |
| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |
| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |
| YACS | 09/14/11 | 12/14/11 | 91 | 273 | | 1 |
| Projectname | From | To | Days | Commits |
| --- | --- | --- | --- | --- |
| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |
| Convalot | 09/12/10 | 06/25/11 | 286 | 406 | | | Projectname | Duration |
| --- | --- |
| Briefcase | 3hr5min |
| Convalot | 4hr1min |
| Milkyway | 4hr55min |
| MobileNotifier | 4hr2min |
| Notebook | 6hr17min |
| RPIDirectory | 7hr29min |
| ShuttleTracking | 2hr2min |
| YACS | 3hr32min | | 0 |
| Projectname | From | To | Days | Commits |
| --- | --- | --- | --- | --- |
| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |
| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |
| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |
| MobileNotifier | 09/11/10 | 10/17/11 | 401 | 450 | | | Notebook | 11/18/10 | 04/06/11 | 139 | 326 |
| --- | --- | --- | --- | --- |
| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |
| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |
| YACS | 09/14/11 | 12/14/11 | 91 | 273 | | 1 |
| Projectname | From | To | Days | Commits |
| --- | --- | --- | --- | --- |
| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |
| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |
| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |
| MobileNotifier | 09/11/10 | 10/17/11 | 401 | 450 | | | ShuttleTracking | 2hr2min |
| --- | --- |
| YACS | 3hr32min | | 0 |
| | | | GFLOPS | GB/s | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex | | | 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |
| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |
| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |
| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 | | 1 |
| | | | GFLOPS | GB/s | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex | | | #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |
| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |
| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |
| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |
| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |
| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |
| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |
| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |
| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 | | 0 |
| | | | GFLOPS | GB/s | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |
| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 | | | 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |
| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |
| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 | | 1 |
| | | | GFLOPS | GB/s | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |
| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 | | | 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |
| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |
| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |
| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 | | 0 |
| Models | BLEU | Perplexity |
| --- | --- | --- |
| N-gram | 0.0 | 280.5 |
| Seq2Seq | 1.82 | 12.64 | | | HRED | 6.14 | 13.82 |
| --- | --- | --- |
| AWI | 9.29 | 11.52 | | 1 |
| Models | BLEU | Perplexity |
| --- | --- | --- |
| N-gram | 0.0 | 280.5 |
| Seq2Seq | 1.82 | 12.64 | | | Model | Time(inhours) |
| --- | --- |
| Huangetal | 168 |
| MSSG50d | 1 |
| MSSG-300d | 6 |
| NP-MSSG-50d | 1.83 |
| NP-MSSG-300d | 5 |
| Skip-gram-50d | 0.33 |
| Skip-gram-300d | 1.5 | | 0 |
| Models | BLEU | Perplexity |
| --- | --- | --- |
| N-gram | 0.0 | 280.5 |
| Seq2Seq | 1.82 | 12.64 | | | HRED | 6.14 | 13.82 |
| --- | --- | --- |
| AWI | 9.29 | 11.52 | | 1 |
| Models | BLEU | Perplexity |
| --- | --- | --- |
| N-gram | 0.0 | 280.5 |
| Seq2Seq | 1.82 | 12.64 | | | MSSG-300d | 6 |
| --- | --- |
| NP-MSSG-50d | 1.83 |
| NP-MSSG-300d | 5 |
| Skip-gram-50d | 0.33 |
| Skip-gram-300d | 1.5 | | 0 |
| type | abbreviation |
| --- | --- |
| Hammingembedding | |
| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |
| minimizingdifferencesbetweendistances<br>minimizingdifferencesbetweensimilarities<br>minimizingdifferencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |
| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classificationerror | HL<br>ROL<br>TL<br>CE |
| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM | | | Quantization | |
| --- | --- |
| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS | | 1 |
| type | abbreviation |
| --- | --- |
| Hammingembedding | |
| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |
| minimizingdifferencesbetweendistances<br>minimizingdifferencesbetweensimilarities<br>minimizingdifferencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |
| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classificationerror | HL<br>ROL<br>TL<br>CE |
| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM | | | type | abbreviation |
| --- | --- |
| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaffinity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |
| Manhattan | MD |
| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |
| lowerbound | LB | | 0 |
| type | abbreviation |
| --- | --- |
| Hammingembedding | |
| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |
| minimizingdifferencesbetweendistances<br>minimizingdifferencesbetweensimilarities<br>minimizingdifferencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |
| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classificationerror | HL<br>ROL<br>TL<br>CE |
| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM | | | Quantization | |
| --- | --- |
| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS | | 1 |
| type | abbreviation |
| --- | --- |
| Hammingembedding | |
| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |
| minimizingdifferencesbetweendistances<br>minimizingdifferencesbetweensimilarities<br>minimizingdifferencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |
| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classificationerror | HL<br>ROL<br>TL<br>CE |
| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM | | | Manhattan | MD |
| --- | --- |
| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |
| lowerbound | LB | | 0 |
| Feature | WER |
| --- | --- |
| MelFB | 21.9 | | | VTLN-warpedmelFB | 21.3 |
| --- | --- |
| VTLN-warpedmelFB+fMLLR | 21.2 |
| VTLN-warpedmelFB+d+dd | 20.7 |
| VTLN-warpedmelFB+d+dd+energy | 21.0 | | 1 |
| Feature | WER |
| --- | --- |
| MelFB | 21.9 | | | Features | L-SVM | K-SVM | NB | DT | RF | LR |
| --- | --- | --- | --- | --- | --- | --- |
| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |
| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |
| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |
| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |
| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |
| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |
| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |
| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 | | 0 |
| Feature | WER |
| --- | --- |
| MelFB | 21.9 |
| VTLN-warpedmelFB | 21.3 | | | VTLN-warpedmelFB+fMLLR | 21.2 |
| --- | --- |
| VTLN-warpedmelFB+d+dd | 20.7 |
| VTLN-warpedmelFB+d+dd+energy | 21.0 | | 1 |
| Feature | WER |
| --- | --- |
| MelFB | 21.9 |
| VTLN-warpedmelFB | 21.3 | | | MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |
| --- | --- | --- | --- | --- | --- | --- |
| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |
| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |
| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |
| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |
| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |
| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 | | 0 |
| Dataset | Label | P | R | F1 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | | | F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |
| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 | | 1 |
| Dataset | Label | P | R | F1 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | | | Dataset | Label | P | R | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove | | |
| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |
| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |
| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |
| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |
| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |
| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |
| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |
| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 | | 0 |
| Dataset | Label | P | R | F1 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | | |
| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 | | | T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 | | 1 |
| Dataset | Label | P | R | F1 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | | |
| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 | | | T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |
| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |
| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 | | 0 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 35000 | 5000 | 25000 | 15000 |
| 45000 | 25000 | 10000 | 5000 |
| 50000 | 15000 | 20000 | 30000 |
| 70000 | 35000 | 5000 | 10000 |
| 150000 | 20000 | 30000 | 80000 |
| 180000 | 100000 | 50000 | 70000 | | | 200000 | 80000 | 40000 | 60000 |
| --- | --- | --- | --- |
| 450000 | 150000 | 200000 | 100000 | | 1 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 35000 | 5000 | 25000 | 15000 |
| 45000 | 25000 | 10000 | 5000 |
| 50000 | 15000 | 20000 | 30000 |
| 70000 | 35000 | 5000 | 10000 |
| 150000 | 20000 | 30000 | 80000 |
| 180000 | 100000 | 50000 | 70000 | | | Expected | January | February | March |
| --- | --- | --- | --- |
| 35000 | 150000 | 5000 | 10000 |
| 150000 | 15000 | 10000 | 5000 |
| 450000 | 100000 | 20000 | 30000 |
| 180000 | 80000 | 25000 | 15000 |
| 45000 | 25000 | 30000 | 80000 |
| 50000 | 5000 | 40000 | 60000 |
| 200000 | 20000 | 50000 | 70000 |
| 70000 | 35000 | 200000 | 100000 | | 0 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 35000 | 5000 | 25000 | 15000 |
| 45000 | 25000 | 10000 | 5000 |
| 50000 | 15000 | 20000 | 30000 |
| 70000 | 35000 | 5000 | 10000 | | | 150000 | 20000 | 30000 | 80000 |
| --- | --- | --- | --- |
| 180000 | 100000 | 50000 | 70000 |
| 200000 | 80000 | 40000 | 60000 |
| 450000 | 150000 | 200000 | 100000 | | 1 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 35000 | 5000 | 25000 | 15000 |
| 45000 | 25000 | 10000 | 5000 |
| 50000 | 15000 | 20000 | 30000 |
| 70000 | 35000 | 5000 | 10000 | | | 45000 | 25000 | 30000 | 80000 |
| --- | --- | --- | --- |
| 50000 | 5000 | 40000 | 60000 |
| 200000 | 20000 | 50000 | 70000 |
| 70000 | 35000 | 200000 | 100000 | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv | |
| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM | |
| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox | | | | 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx | |
| --- | --- | --- |
| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv | |
| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM | |
| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox | | | | # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX | |
| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB | |
| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 | |
| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v | |
| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU | | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv | | | | 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM | |
| --- | --- | --- |
| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox | |
| 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx | |
| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv | | | | 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB | |
| --- | --- | --- |
| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 | |
| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v | |
| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU | | | 0 |
| #Params |
| --- |
| 13,413,440 | | | 21,667,716 |
| --- |
| 9,878,617 |
| 7,419,481 | | 1 |
| #Params |
| --- |
| 13,413,440 | | | 12626 | 84 |
| --- | --- |
| 8799 | 122 |
| 12488 | 87 |
| 8799 | 94 |
| 12488 | 150 |
| 12625 | 44 |
| 12626 | 110 | | 0 |
| #Params |
| --- |
| 13,413,440 | | | 21,667,716 |
| --- |
| 9,878,617 |
| 7,419,481 | | 1 |
| #Params |
| --- |
| 13,413,440 | | | 12488 | 150 |
| --- | --- |
| 12625 | 44 |
| 12626 | 110 | | 0 |
| Dataset | Input | Relevance | Readability |
| --- | --- | --- | --- |
| MSCOCO | GroundTruth | 3.38 | 4.68 | | | | SystemOutput | 3.0 | 3.84 |
| --- | --- | --- | --- |
| Quora | GroundTruth | 4.82 | 4.94 |
| | SystemOutput | 3.57 | 4.08 | | 1 |
| Dataset | Input | Relevance | Readability |
| --- | --- | --- | --- |
| MSCOCO | GroundTruth | 3.38 | 4.68 | | | Dataset | IntrinsicDimension |
| --- | --- |
| MNIST | 16 |
| CIFAR-10 | 17 |
| SAT-6 | 115 |
| HaralickFeaturesextractedfromSAT-6 | 4.2 | | 0 |
| Dataset | Input | Relevance | Readability |
| --- | --- | --- | --- |
| MSCOCO | GroundTruth | 3.38 | 4.68 | | | | SystemOutput | 3.0 | 3.84 |
| --- | --- | --- | --- |
| Quora | GroundTruth | 4.82 | 4.94 |
| | SystemOutput | 3.57 | 4.08 | | 1 |
| Dataset | Input | Relevance | Readability |
| --- | --- | --- | --- |
| MSCOCO | GroundTruth | 3.38 | 4.68 | | | SAT-6 | 115 |
| --- | --- |
| HaralickFeaturesextractedfromSAT-6 | 4.2 | | 0 |
| | LPBA40 | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | Dice | Sensitivity | Specificity | Dice | Sensitivity |
| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |
| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |
| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |
| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |
| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |
| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) | | | Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |
| --- | --- | --- | --- | --- | --- |
| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |
| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) | | 1 |
| | LPBA40 | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | Dice | Sensitivity | Specificity | Dice | Sensitivity |
| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |
| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |
| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |
| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |
| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |
| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) | | | Method | Dice | Sensitivity | Specificity |
| --- | --- | --- | --- |
| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |
| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |
| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |
| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |
| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |
| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) | | 0 |
| | LPBA40 | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | Dice | Sensitivity | Specificity | Dice | Sensitivity |
| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |
| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |
| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |
| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |
| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) | | | BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |
| --- | --- | --- | --- | --- | --- |
| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |
| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |
| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) | | 1 |
| | LPBA40 | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | Dice | Sensitivity | Specificity | Dice | Sensitivity |
| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |
| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |
| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |
| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |
| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) | | | U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |
| --- | --- | --- | --- |
| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |
| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |
| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |
| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) | | 0 |
| Target | Task |
| --- | --- |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 | | | smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| --- | --- |
| Krt8 | D7<br>D4 |
| Krt18 | D7<br>D4 |
| GrayJay | June<br>April | | 1 |
| Target | Task |
| --- | --- |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 | | | | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |
| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |
| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |
| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 | | 0 |
| Target | Task |
| --- | --- |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 | | | Krt8 | D7<br>D4 |
| --- | --- |
| Krt18 | D7<br>D4 |
| GrayJay | June<br>April | | 1 |
| Target | Task |
| --- | --- |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 |
| filtering<br>y2 | d=2<br>d=5<br>d=10 |
| smoothing<br>y2 | d=2<br>d=5<br>d=10 | | | Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |
| --- | --- | --- | --- | --- | --- |
| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 | | 0 |
| Events | AUC(F)64 | AUC([F,M])6464 |
| --- | --- | --- |
| Cheering | 0.632 | 0.668 | | | Children’sVoices | 0.678 | 0.723 |
| --- | --- | --- |
| Clanking | 0.714 | 0.859 |
| Clapping | 0.646 | 0.680 |
| Drums | 0.60 | 0.639 |
| EngineNoise | 0.623 | 0.575 |
| Hammering | 0.557 | 0.660 |
| Laughing | 0.527 | 0.641 |
| MarchingBand | 0.551 | 0.745 |
| Scraping | 0.723 | 0.744 |
| Mean | 0.625 | 0.693 | | 1 |
| Events | AUC(F)64 | AUC([F,M])6464 |
| --- | --- | --- |
| Cheering | 0.632 | 0.668 | | | Events | AUC(F)64 | AUC(F)128 |
| --- | --- | --- |
| Cheering | 0.632 | 0.638 |
| Children’sVoices | 0.678 | 0.633 |
| Clanking | 0.714 | 0.744 |
| Clapping | 0.646 | 0.667 |
| Drums | 0.60 | 0.636 |
| EngineNoise | 0.623 | 0.642 |
| Hammering | 0.557 | 0.587 |
| Laughing | 0.527 | 0.540 |
| MarchingBand | 0.551 | 0.554 |
| Scraping | 0.723 | 0.735 |
| Mean | 0.625 | 0.637 | | 0 |
| Events | AUC(F)64 | AUC([F,M])6464 |
| --- | --- | --- |
| Cheering | 0.632 | 0.668 |
| Children’sVoices | 0.678 | 0.723 |
| Clanking | 0.714 | 0.859 |
| Clapping | 0.646 | 0.680 |
| Drums | 0.60 | 0.639 |
| EngineNoise | 0.623 | 0.575 |
| Hammering | 0.557 | 0.660 | | | Laughing | 0.527 | 0.641 |
| --- | --- | --- |
| MarchingBand | 0.551 | 0.745 |
| Scraping | 0.723 | 0.744 |
| Mean | 0.625 | 0.693 | | 1 |
| Events | AUC(F)64 | AUC([F,M])6464 |
| --- | --- | --- |
| Cheering | 0.632 | 0.668 |
| Children’sVoices | 0.678 | 0.723 |
| Clanking | 0.714 | 0.859 |
| Clapping | 0.646 | 0.680 |
| Drums | 0.60 | 0.639 |
| EngineNoise | 0.623 | 0.575 |
| Hammering | 0.557 | 0.660 | | | MarchingBand | 0.551 | 0.554 |
| --- | --- | --- |
| Scraping | 0.723 | 0.735 |
| Mean | 0.625 | 0.637 | | 0 |
| | PPV | NPV | MCC | F1 | ACC |
| --- | --- | --- | --- | --- | --- |
| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |
| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 | | | Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |
| --- | --- | --- | --- | --- | --- |
| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |
| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |
| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |
| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 |
| MNIST(D=500)i | 0.839 | 0.940 | 0.786 | 0.852 | 0.908 |
| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |
| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |
| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |
| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 | | 1 |
| | PPV | NPV | MCC | F1 | ACC |
| --- | --- | --- | --- | --- | --- |
| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |
| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 | | | | PPV | NPV | MCC | F1 | ACC |
| --- | --- | --- | --- | --- | --- |
| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |
| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |
| Non-transfer(L=2) | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |
| Non-transfer(L=3) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |
| Non-transfer(L=4) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |
| SSL(L=1) | 0.682 | 1 | 0.736 | 0.811 | 0.857 |
| SSL(L=2) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |
| SSL(L=3) | 0.592 | 0.980 | 0.620 | 0.734 | 0.786 |
| SSL(L=4) | 0.558 | 0.978 | 0.580 | 0.707 | 0.755 |
| Oquabetal.(L=1) | 0.732 | 1 | 0.783 | 0.845 | 0.888 |
| Oquabetal.(L=2) | 0.771 | 0.952 | 0.753 | 0.831 | 0.888 |
| Oquabetal.(L=3) | 0.702 | 0.934 | 0.670 | 0.776 | 0.847 |
| Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |
| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |
| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |
| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |
| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |
| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |
| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |
| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |
| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 | | 0 |
| | PPV | NPV | MCC | F1 | ACC |
| --- | --- | --- | --- | --- | --- |
| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |
| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |
| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |
| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |
| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |
| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |
| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 | | | MNIST(D=500)i | 0.839 | 0.940 | 0.786 | 0.852 | 0.908 |
| --- | --- | --- | --- | --- | --- |
| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |
| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |
| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |
| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 | | 1 |
| | PPV | NPV | MCC | F1 | ACC |
| --- | --- | --- | --- | --- | --- |
| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |
| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |
| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |
| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |
| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |
| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |
| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 | | | Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |
| --- | --- | --- | --- | --- | --- |
| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |
| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |
| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |
| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |
| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |
| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |
| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |
| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 | | 0 |
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