keyword stringlengths 4 52 | weight float64 0 1 | embedding stringlengths 15.8k 16k |
|---|---|---|
graph neural network | 1 | [0.08722702413797379, 0.8745535016059875, -0.3408846855163574, -0.0734473466873169, 0.6662229299545288, 0.009556388482451439, 0.4339209198951721, 0.36693018674850464, 0.17679241299629211, 0.5929588079452515, -0.23569293320178986, -1.1070489883422852, -0.12898148596286774, -1.7027523517608643, -0.7153154611587524, -0.11... |
graph neuralnetworks | 1 | [-0.11062880605459213, 0.9918195605278015, -0.2675487995147705, -0.16344797611236572, 0.5400116443634033, -0.08009643107652664, 0.4921877682209015, 0.3808423578739166, 0.10751718282699585, 0.628934919834137, -0.09424147009849548, -1.1814173460006714, -0.43151986598968506, -1.5148731470108032, -0.7565627694129944, -0.25... |
graph neural networkand | 1 | [0.1356668621301651, 0.8163174986839294, -0.5980242490768433, -0.025542443618178368, 0.5405692458152771, -0.08175227046012878, 0.8464369177818298, 0.43127188086509705, 0.20755882561206818, 0.7934999465942383, -0.22618865966796875, -1.1122263669967651, -0.25321969389915466, -1.7150424718856812, -0.7455411553382874, -0.2... |
graph neural networks based | 1 | [-0.10963953286409378, 0.6333564519882202, -0.41679105162620544, -0.1791401356458664, 0.44391801953315735, 0.16998885571956635, 0.39147520065307617, 0.2665574550628662, 0.22526197135448456, 0.6387982964515686, -0.1389331966638565, -1.081945776939392, -0.662570059299469, -1.7029176950454712, -0.32424113154411316, -0.004... |
graph neural network based | 1 | [-0.029546916484832764, 0.5460565686225891, -0.3735005855560303, -0.11402704566717148, 0.5150271058082581, 0.12608909606933594, 0.2861242890357971, 0.39855721592903137, 0.1951504945755005, 0.647004246711731, -0.09686524420976639, -1.1619526147842407, -0.5512087941169739, -1.7162861824035645, -0.19199423491954803, 0.064... |
neural network | 0.990941 | [-0.02977747470140457, 0.10993075370788574, -0.21777033805847168, -0.6170248985290527, -0.043871812522411346, -0.25199347734451294, 0.35431593656539917, -0.40190786123275757, -0.22014766931533813, 1.1782270669937134, -0.1477624475955963, -0.8176015615463257, -0.21602720022201538, -1.156180739402771, -0.4933942556381225... |
neural network network | 0.990941 | [-0.08472207933664322, 0.15449193120002747, -0.35530537366867065, -0.6574016809463501, -0.019541457295417786, 0.002848076866939664, 0.3572206199169159, -0.4247837960720062, -0.27963730692863464, 1.0127118825912476, -0.16745243966579437, -0.704155683517456, -0.3686750531196594, -1.1254297494888306, -0.40567654371261597,... |
neural network denn | 0.990941 | [0.13430626690387726, 0.08677495270967484, -0.06186086684465408, -0.876826286315918, 0.23916563391685486, -0.007065105251967907, 0.23857584595680237, -0.5607066750526428, -0.518011748790741, 1.1325613260269165, -0.4046156406402588, -0.8065201044082642, -0.1971019208431244, -1.0135905742645264, -0.42981839179992676, -0.... |
non local neural network | 0.990941 | [-0.07845621556043625, -0.13262143731117249, 0.025946689769625664, -0.543731153011322, -0.6083153486251831, -0.3707612454891205, 0.6301832795143127, -0.4701120853424072, -0.14124125242233276, 1.0680018663406372, 0.3229394853115082, -0.30585119128227234, 0.10859904438257217, -1.001286506652832, -0.7751753926277161, -1.1... |
neural learning network | 0.990941 | [-0.057278912514448166, 0.23393464088439941, -0.41464224457740784, -0.6208873987197876, -0.061475496739149094, -0.15842077136039734, 0.47897839546203613, -0.3157622814178467, -0.3063065707683563, 1.2191016674041748, -0.230136439204216, -0.7773691415786743, -0.2551148533821106, -1.2265806198120117, -0.49296465516090393,... |
deeplearning model | 0.989322 | [-1.0290472507476807, 0.31321725249290466, -0.3136841654777527, -0.3311678171157837, -0.19166487455368042, -0.5466514825820923, 0.9878517985343933, -0.5753479599952698, -0.5503822565078735, 0.5756950378417969, 0.13715149462223053, -0.7232561111450195, 0.36430031061172485, -1.217313528060913, -0.7361792922019958, -0.668... |
learning deep model | 0.989322 | [-0.7634826898574829, 0.13746805489063263, -0.14113327860832214, -0.46947646141052246, -0.34734636545181274, -0.17303578555583954, 0.420731782913208, -0.4890424311161041, -0.3811579644680023, 0.45604318380355835, 0.14262089133262634, -0.3791183829307556, 0.3052026629447937, -1.1778945922851562, -0.6743001937866211, -0.... |
deep learning model | 0.989322 | [-0.8885369300842285, 0.06733228266239166, -0.1974875032901764, -0.3012743592262268, -0.11065983772277832, -0.24445191025733948, 0.8012038469314575, -0.45899391174316406, -0.3576807379722595, 0.33754557371139526, 0.22669267654418945, -0.6009411811828613, 0.3891454339027405, -1.2408111095428467, -0.6361209154129028, -0.... |
deep learning based model | 0.989322 | [-1.005509376525879, -0.1276242583990097, -0.05632683262228966, -0.3774714171886444, -0.4121512472629547, -0.13331103324890137, 0.6548415422439575, -0.24843452870845795, -0.4722709357738495, 0.38141441345214844, 0.18812139332294464, -0.5912708044052124, 0.1737576127052307, -1.2879633903503418, -0.4703633785247803, -0.3... |
large language model | 0.963329 | [-0.7337947487831116, -0.14133186638355255, -0.5399602055549622, -0.27666619420051575, -1.347937822341919, -0.3609693944454193, 1.0478694438934326, -0.09257639944553375, -0.9474083781242371, 0.6906710863113403, 0.7087370157241821, -1.151600956916809, 0.524092972278595, -0.6928030848503113, -0.35179927945137024, -0.1637... |
n gram language model | 0.963329 | [-0.3482540547847748, -0.5546494126319885, -0.4497590959072113, -0.30532827973365784, -0.6656220555305481, -0.7108063101768494, 1.2572447061538696, -0.023781100288033485, -0.9595239162445068, 0.5973122715950012, 0.7897796034812927, -1.6784180402755737, 0.3066730797290802, -0.9241459369659424, -0.004213407635688782, -0.... |
deep reinforcement learning | 0.93608 | [-0.7549645304679871, 0.13027440011501312, -0.033132731914520264, 0.026721810922026634, -0.16248497366905212, -0.5007665753364563, 0.6408365964889526, -0.3475293517112732, -0.7551035284996033, 1.215679407119751, -0.4571243226528168, -0.7058252096176147, 0.1086503267288208, -1.0807617902755737, -1.00485360622406, -0.783... |
deep reinforcement learning agent | 0.93608 | [-0.8537349700927734, 0.22522187232971191, -0.022392941638827324, 0.38923633098602295, 0.022625163197517395, -0.41403213143348694, 0.6951772570610046, -0.40926238894462585, -0.8169713020324707, 1.3092130422592163, -0.4137943685054779, -0.48871222138404846, 0.2598138153553009, -1.1253780126571655, -0.7751155495643616, -... |
deep reinforcement learning based | 0.93608 | [-0.831407368183136, -0.07464612275362015, -0.03557513281702995, 0.015148173086345196, -0.3179330825805664, -0.290580689907074, 0.456268310546875, -0.33718499541282654, -0.6128180027008057, 1.186081051826477, -0.3120281994342804, -0.805424690246582, -0.19642817974090576, -1.2373262643814087, -0.7249293923377991, -0.624... |
reinforcement learning deep | 0.93608 | [-0.7489138841629028, 0.03457079082727432, -0.06766253709793091, 0.18253381550312042, -0.11372319608926773, -0.32121026515960693, 0.5994795560836792, -0.2953827679157257, -0.6927603483200073, 1.3227932453155518, -0.25990161299705505, -0.6111336946487427, -0.05862528830766678, -1.163777470588684, -0.9496628642082214, -0... |
deep learning convective | 0.898967 | [-0.6178512573242188, -0.25639185309410095, 0.2047753781080246, -0.31653109192848206, -0.19195985794067383, -0.4049984812736511, 0.4918915629386902, -0.4615951180458069, -0.38683122396469116, 0.47060662508010864, 0.016314182430505753, -0.6970992088317871, 0.2645909786224365, -1.1677709817886353, -0.7459537982940674, -0... |
learning deep | 0.898967 | [-0.5705543756484985, -0.07004224509000778, -0.013622076250612736, -0.4747598171234131, -0.40894579887390137, -0.4169493615627289, 0.38768255710601807, -0.30037882924079895, -0.2917066216468811, 0.720620334148407, 0.14776143431663513, -0.506240963935852, 0.2151108682155609, -1.213907241821289, -0.8364098072052002, -0.8... |
deep learning | 0.898967 | [-0.6578335762023926, -0.0927695631980896, -0.024494532495737076, -0.38010042905807495, -0.3005785346031189, -0.4920358955860138, 0.6897044777870178, -0.4566255509853363, -0.38864096999168396, 0.5610118508338928, 0.1096738651394844, -0.7892798185348511, 0.3430969715118408, -1.1288213729858398, -0.8017017841339111, -0.8... |
machine learning algorithm | 0.896057 | [0.32673683762550354, -0.18854038417339325, -0.5818365216255188, -0.4316261410713196, -0.11255602538585663, -0.6406786441802979, 0.7245843410491943, 0.2286633998155594, -0.45725148916244507, 1.2826792001724243, -0.4674508571624756, -1.141633152961731, -0.25523748993873596, -1.3494316339492798, -0.19120272994041443, -0.... |
automatic speech recognition | 0.887055 | [0.45199114084243774, 0.3707483410835266, 0.1516379415988922, -0.879385769367218, -1.1829280853271484, -0.4514111876487732, 0.8558724522590637, -0.37281519174575806, -0.37805020809173584, 0.5269745588302612, 0.4689405560493469, -1.3430447578430176, 0.537110447883606, -0.28260156512260437, -0.3781343102455139, -1.008556... |
machine learning | 0.882312 | [0.1939152181148529, 0.22415009140968323, -0.7436379194259644, -0.5400913953781128, -0.42510300874710083, -0.649601936340332, 0.8577979803085327, -0.07327980548143387, -0.329534113407135, 1.1077436208724976, -0.12492959201335907, -1.1356970071792603, -0.31370291113853455, -1.0332489013671875, -0.5324939489364624, -0.72... |
machine learning learning | 0.882312 | [0.059888727962970734, 0.2168409824371338, -0.7786321640014648, -0.6490785479545593, -0.47377362847328186, -0.3898152709007263, 0.8275687098503113, 0.13559359312057495, -0.3181251585483551, 0.9978495836257935, -0.037815213203430176, -1.0391852855682373, -0.3656347393989563, -1.1153768301010132, -0.6002780795097351, -0.... |
natural language | 0.880139 | [-0.018210776150226593, 0.39051228761672974, -0.3885507583618164, -0.38765162229537964, -0.360095739364624, -1.0078786611557007, 1.3882910013198853, 0.3001267910003662, -0.4645754396915436, 1.2858471870422363, 0.7500320672988892, -1.266890048980713, 0.4047067165374756, -1.3121823072433472, -0.6368306875228882, -0.04826... |
deep learning approach | 0.874228 | [-0.7113606333732605, 0.05766025185585022, -0.17513540387153625, -0.07607344537973404, -0.5070746541023254, -0.5594367384910583, 0.8581916093826294, -0.23019099235534668, -0.3390195071697235, 0.5055175423622131, 0.21955016255378723, -0.5909367799758911, 0.10332028567790985, -1.317389726638794, -0.36963003873825073, -0.... |
deep learning based approach | 0.874228 | [-0.9017866253852844, -0.11680998653173447, 0.01254985947161913, -0.21427474915981293, -0.73736172914505, -0.4552021920681, 0.6797728538513184, -0.08822813630104065, -0.49986040592193604, 0.5437375903129578, 0.19394366443157196, -0.6538544297218323, 0.030737916007637978, -1.3809185028076172, -0.23653560876846313, -0.56... |
basic neural network architecture | 0.870225 | [-0.23754125833511353, 0.04844061657786369, -0.140255868434906, -0.6017670035362244, 0.5033497214317322, 0.13255949318408966, 0.002697077812626958, -0.5834502577781677, -0.8244564533233643, 0.7221630215644836, -0.27879270911216736, -0.8879392147064209, 0.09280318021774292, -0.9669566750526428, -0.33066824078559875, -0.... |
neural network architecture | 0.870225 | [-0.2036498337984085, 0.24553973972797394, -0.11206427961587906, -0.7239207029342651, -0.001672132289968431, -0.023432573303580284, 0.25420260429382324, -0.645412802696228, -0.5629541873931885, 0.7360479235649109, -0.0985196977853775, -0.9166890382766724, -0.3083288371562958, -0.8462947010993958, -0.4047839045524597, -... |
machinelearning method | 0.867594 | [-0.022265395149588585, 0.24531438946723938, -0.9694914817810059, -0.33157801628112793, -0.6163164377212524, -0.8296710848808289, 1.2015022039413452, -0.3068159222602844, -0.6043630838394165, 1.8443660736083984, -0.4276185929775238, -1.1558701992034912, 0.12899698317050934, -1.3488069772720337, -0.3724292516708374, -1.... |
machine learning method | 0.867594 | [0.10257943719625473, 0.18054263293743134, -0.8595147132873535, -0.36715978384017944, -0.5106992125511169, -0.6627702713012695, 0.9955632090568542, 0.03653956204652786, -0.5266451835632324, 1.422498106956482, -0.19741101562976837, -1.0635329484939575, 0.09490436315536499, -1.4177286624908447, -0.14703242480754852, -0.8... |
machine learning based method | 0.867594 | [-0.02223094366490841, 0.04064890369772911, -0.5683377981185913, -0.3115459978580475, -0.8748846054077148, -0.6610679626464844, 0.9519650936126709, 0.14531956613063812, -0.5793690085411072, 1.3706685304641724, -0.11907196789979935, -0.9228990077972412, -0.05606354773044586, -1.5787078142166138, 0.07219409942626953, -0.... |
reinforcement learning fundamental | 0.866174 | [-0.1959235966205597, 0.32520347833633423, -0.4870588183403015, -0.06618929654359818, -0.03955361992120743, -0.21056130528450012, 0.5969918966293335, -0.43095627427101135, -0.805949866771698, 1.5454747676849365, -0.6462064981460571, -0.6125470399856567, -0.3525747060775757, -0.9861028790473938, -0.9446759223937988, -1.... |
reinforcement learning electric | 0.866174 | [-0.4719159007072449, 0.41610273718833923, -0.175700381398201, -0.07689805328845978, -0.23180723190307617, -0.40066108107566833, 0.47074490785598755, -0.5889992713928223, -0.633750319480896, 1.5149154663085938, -0.48571205139160156, -0.6256972551345825, -0.5829784274101257, -1.0306117534637451, -0.847231388092041, -0.9... |
undoubtedly reinforcement learning | 0.866174 | [-0.422454833984375, 0.4099046587944031, -0.17563951015472412, -0.21929505467414856, -0.14520633220672607, -0.44689393043518066, 0.41233763098716736, -0.2870292067527771, -1.018856406211853, 1.7803783416748047, -0.5382288694381714, -0.9010076522827148, -0.3891492486000061, -1.1929051876068115, -0.9495428204536438, -0.8... |
reinforcement learning enables | 0.866174 | [-0.5745439529418945, 0.31812071800231934, -0.647203803062439, 0.16752442717552185, -0.12067888677120209, -0.4259885847568512, 0.5919907093048096, -0.46161967515945435, -0.5244101285934448, 1.5129765272140503, -0.3575683832168579, -0.746078610420227, -0.4042632579803467, -0.9426760673522949, -0.8350788354873657, -0.746... |
reinforcement learning photon | 0.866174 | [-0.3978828191757202, 0.4425933361053467, -0.26555246114730835, 0.0586792416870594, -0.2515631318092346, -0.3536994159221649, 0.5814170837402344, -0.44941431283950806, -0.7109702825546265, 1.4294918775558472, -0.6381525993347168, -0.6356402635574341, -0.3408668041229248, -1.00761878490448, -0.9552574157714844, -0.84121... |
reinforcement learning comparing | 0.866174 | [-0.4822349548339844, 0.3416604697704315, -0.5505359172821045, -0.055076707154512405, -0.47302451729774475, -0.3986470401287079, 0.5754950642585754, -0.2688993215560913, -0.9042669534683228, 1.3314812183380127, -0.42145881056785583, -0.6425601243972778, -0.4974709451198578, -0.9377363324165344, -0.7160652279853821, -0.... |
reinforcement learning badminton | 0.866174 | [-0.48750486969947815, 0.47916120290756226, -0.44430288672447205, 0.1355697363615036, -0.3737470805644989, -0.3389374315738678, 0.5499336123466492, -0.4981513023376465, -0.7612816095352173, 1.6172376871109009, -0.49908000230789185, -0.434065043926239, -0.4495871961116791, -0.8031838536262512, -0.97466641664505, -0.9003... |
learning reinforcement learning | 0.866174 | [-0.46116647124290466, 0.5154243111610413, -0.3712398409843445, -0.04186742380261421, -0.4512014389038086, -0.301654577255249, 0.37671756744384766, -0.44404441118240356, -0.5201047658920288, 1.388968825340271, -0.4295598566532135, -0.6227542757987976, -0.36109763383865356, -1.15363347530365, -0.9028477668762207, -0.910... |
keywords reinforcement learning | 0.866174 | [-0.3285166621208191, 0.22382541000843048, -0.5070066452026367, -0.16852107644081116, -0.30510860681533813, -0.39647653698921204, 0.691963255405426, -0.245671346783638, -0.7136958241462708, 1.522692322731018, -0.5909051299095154, -0.7954446077346802, -0.4336957335472107, -1.3379682302474976, -0.8517743349075317, -0.935... |
reinforcement learning poisoning | 0.866174 | [-0.6337742805480957, 0.4067004323005676, -0.03440673649311066, 0.2726651430130005, -0.1429174840450287, -0.42288026213645935, 0.2544933557510376, -0.36521822214126587, -0.7461407780647278, 1.4574379920959473, -0.5497742891311646, -0.5209839940071106, -0.4176085591316223, -0.9973317980766296, -1.0647400617599487, -0.94... |
reinforcement learning prl | 0.866174 | [-0.39583832025527954, 0.47638002038002014, -0.24262717366218567, -0.06821810454130173, -0.41028445959091187, -0.2601311206817627, 0.3710644841194153, -0.3495367467403412, -0.7516217827796936, 1.3864578008651733, -0.3823283910751343, -0.42828860878944397, -0.5280367732048035, -0.884547233581543, -1.035722017288208, -0.... |
q improvement reinforcement learning | 0.866174 | [-0.3243165612220764, 0.23722516000270844, -0.36320817470550537, 0.12364870309829712, -0.7653123736381531, -0.05324677750468254, -0.0076627894304692745, -0.15905334055423737, -0.6512628793716431, 1.5896648168563843, -0.19017131626605988, -0.5084207653999329, -0.7056912779808044, -0.9028117060661316, -0.5394545197486877... |
performing reinforcement learning | 0.866174 | [-0.5629842877388, 0.2737947404384613, -0.17312999069690704, -0.08781136572360992, -0.7495260238647461, -0.628642737865448, 0.32596254348754883, -0.4134146571159363, -0.899570107460022, 1.4133163690567017, -0.2909175753593445, -0.5810065269470215, -0.23034453392028809, -0.8857848048210144, -0.9513343572616577, -0.88444... |
reinforcement learning versus | 0.866174 | [-0.35227853059768677, 0.5258769989013672, -0.5268533229827881, -0.09137009084224701, -0.28148016333580017, -0.5465838313102722, 0.5876916646957397, -0.28326329588890076, -1.2498005628585815, 1.424702763557434, -0.5097013711929321, -0.9118636250495911, -0.7186328172683716, -0.9348925352096558, -0.6386831402778625, -0.7... |
reinforcement learning building | 0.866174 | [-0.4479683041572571, 0.37559187412261963, -0.3220686614513397, -0.15390196442604065, -0.5020490884780884, -0.27011731266975403, 0.3585251271724701, -0.29366496205329895, -0.6501922011375427, 1.5345127582550049, -0.20866891741752625, -0.7989848852157593, -0.48648327589035034, -1.1343625783920288, -0.9985300898551941, -... |
reinforcement learning textbook | 0.866174 | [-0.4149145483970642, 0.31940874457359314, -0.5602410435676575, 0.08456133306026459, -0.2896974980831146, -0.38574928045272827, 0.44353365898132324, -0.17844827473163605, -0.553775429725647, 1.4876552820205688, -0.6234574317932129, -0.46267324686050415, -0.6596220135688782, -0.9258403778076172, -0.7985053658485413, -0.... |
reinforcement learning concept | 0.866174 | [-0.5471984148025513, 0.44458135962486267, -0.7048732042312622, 0.11739905178546906, -0.06855960190296173, -0.22100397944450378, 0.622010350227356, -0.030446743592619896, -0.8613436818122864, 1.6920543909072876, -0.6172693371772766, -0.7069506645202637, -0.45218172669410706, -1.1390631198883057, -0.8353617787361145, -0... |
reinforcement learning learning | 0.866174 | [-0.4897889196872711, 0.5316088199615479, -0.5377022624015808, -0.08809457719326019, -0.3328702449798584, -0.3325605094432831, 0.491858571767807, -0.21420791745185852, -0.799440324306488, 1.5284993648529053, -0.5733365416526794, -0.7632824778556824, -0.515819787979126, -1.1151504516601562, -0.9367533922195435, -0.85327... |
reinforcement learning introducing | 0.866174 | [-0.5493963956832886, 0.5408685207366943, -0.5126935243606567, -0.037310127168893814, -0.26446595788002014, -0.24059510231018066, 0.5320423245429993, -0.3554179072380066, -0.9182635545730591, 1.587050199508667, -0.3078492283821106, -0.5804843306541443, -0.3762299418449402, -1.144635558128357, -0.8265939950942993, -0.70... |
reinforcement learning review | 0.866174 | [-0.3624628186225891, 0.41333165764808655, -0.7915452718734741, 0.06595286726951599, -0.22993877530097961, -0.19380316138267517, 0.5399892926216125, -0.28207603096961975, -0.7110005021095276, 1.401680827140808, -0.6302289962768555, -0.39798465371131897, -0.5518286228179932, -0.8345552682876587, -0.877475380897522, -0.9... |
reinforcement learning promote | 0.866174 | [-0.5061426758766174, 0.489980548620224, -0.5674989819526672, 0.09728208184242249, -0.2061939239501953, -0.32603898644447327, 0.5530461668968201, -0.1960451900959015, -0.5835334062576294, 1.4108502864837646, -0.2149079293012619, -0.6752797365188599, -0.5124577283859253, -1.0245354175567627, -0.9104799032211304, -0.7383... |
reinforcement learning attempt | 0.866174 | [-0.5352671146392822, 0.5569393038749695, -0.5961087346076965, 0.04526524245738983, -0.33762210607528687, -0.2664371728897095, 0.7393617033958435, -0.3282749056816101, -0.9564616084098816, 1.582593321800232, -0.5719999074935913, -0.7230835556983948, -0.327138751745224, -1.0386323928833008, -0.626169741153717, -0.663402... |
reinforcement learning marl | 0.866174 | [-0.6506654620170593, 0.42298564314842224, -0.246158167719841, 0.03741532564163208, -0.9696866869926453, -0.03138643130660057, 0.8589427471160889, -0.05188467726111412, -0.6271174550056458, 1.7544902563095093, -0.40179622173309326, -0.623724639415741, -0.32241740822792053, -0.8279023766517639, -1.1556129455566406, -0.7... |
computational reinforcement learning | 0.866174 | [-0.2937227189540863, 0.2642488479614258, -0.3512747287750244, -0.033013757318258286, -0.5942821502685547, -0.34907856583595276, 0.6537668108940125, -0.37902912497520447, -0.9546669125556946, 1.5487663745880127, -0.5959718227386475, -0.7525153160095215, -0.3580706715583801, -1.0810006856918335, -0.6726893186569214, -0.... |
supervised reinforcement learning | 0.866174 | [-0.29909974336624146, 0.502646803855896, -0.6600441932678223, -0.2578447461128235, -0.49682506918907166, -0.5486952066421509, 0.575043797492981, -0.1756579577922821, -0.8431981205940247, 1.712592363357544, -0.5479233860969543, -0.8573932647705078, -0.2397000789642334, -0.8862826228141785, -0.9279209971427917, -0.97229... |
reinforcement learning | 0.866174 | [-0.5476208925247192, 0.39945441484451294, -0.4670898914337158, -0.07227634638547897, -0.307115763425827, -0.4466373324394226, 0.5252869129180908, -0.291254460811615, -0.8872515559196472, 1.6550235748291016, -0.5890630483627319, -0.7664832472801208, -0.48404231667518616, -1.0996060371398926, -0.8914357423782349, -0.793... |
reinforcement learning learn | 0.866174 | [-0.5950860977172852, 0.41868799924850464, -0.3903408646583557, -0.11223635822534561, -0.42459478974342346, -0.4889304041862488, 0.45647940039634705, -0.33759617805480957, -0.6490545868873596, 1.5614866018295288, -0.5240766406059265, -0.5381746292114258, -0.4381128251552582, -1.113175868988037, -1.0380157232284546, -0.... |
convolutional neural networkbased | 0.862431 | [-0.2928159236907959, -0.04923371598124504, -0.26906856894493103, -0.1984315663576126, -0.46557796001434326, -0.2587767541408539, 0.6273617744445801, -0.18147249519824982, -0.4563847482204437, 0.6173859238624573, 0.22026045620441437, -0.8530457019805908, -0.11523851007223129, -1.0922287702560425, -0.3916564881801605, -... |
convolutional neural network | 0.862431 | [-0.2954292297363281, -0.042248137295246124, -0.13093054294586182, -0.21028658747673035, -0.33839255571365356, -0.4447163939476013, 0.6060465574264526, -0.340699166059494, -0.25225830078125, 0.5676185488700867, 0.2621102035045624, -0.6557058095932007, 0.35081619024276733, -1.0990691184997559, -0.6159063577651978, -0.47... |
deep neural network | 0.859547 | [-0.5841270089149475, -0.1104351282119751, 0.05171321704983711, -0.3830922544002533, -0.02621946856379509, -0.42957091331481934, 0.41475415229797363, -0.4662606120109558, -0.3060770630836487, 0.6160938143730164, -0.053307630121707916, -0.6103894114494324, 0.39363792538642883, -1.1947696208953857, -0.5588847994804382, -... |
neural network deep | 0.859547 | [-0.3144395351409912, 0.04890353977680206, 0.062005698680877686, -0.33947715163230896, 0.05935113877058029, -0.3557612895965576, 0.3126336932182312, -0.3774237036705017, -0.3207908272743225, 0.7001101970672607, 0.13718216121196747, -0.559512197971344, 0.1789647340774536, -1.0754894018173218, -0.48659831285476685, -0.89... |
gulla neural network | 0.859547 | [-0.4853273034095764, -0.44814014434814453, -0.29187390208244324, -0.34157615900039673, -0.29760250449180603, -0.6884641051292419, 0.7609104514122009, -0.3471248745918274, -0.033846624195575714, 0.7440966367721558, 0.20736835896968842, -0.9584227800369263, 0.5996056795120239, -1.112668752670288, -1.0925039052963257, -0... |
deep neural networksmons | 0.859547 | [-0.5416523814201355, 0.09889815002679825, -0.06312588602304459, -0.4119526147842407, 0.021731985732913017, -0.2282569259405136, 0.48686376214027405, -0.9542436599731445, -0.5679068565368652, 0.6278003454208374, -0.09383932501077652, -0.5906954407691956, 0.13964761793613434, -0.941045343875885, -0.6006319522857666, -0.... |
generative adversarial network | 0.8348 | [0.09444183111190796, 0.7637839317321777, 0.7866458296775818, -0.20412226021289825, -0.6659535765647888, -0.7203335165977478, 0.6757122874259949, -1.1800154447555542, 0.1678289920091629, 1.1386653184890747, -0.10034330934286118, -0.5440165996551514, 0.23905424773693085, -1.2941011190414429, -1.0530227422714233, -0.9892... |
generative adversarial network based | 0.8348 | [-0.16127824783325195, 0.5711941123008728, 0.8050738573074341, -0.24676354229450226, -0.5078892111778259, -0.6654449701309204, 0.6188822388648987, -1.0897727012634277, 0.19560472667217255, 1.1298853158950806, 0.038480017334222794, -0.7152064442634583, -0.048486702144145966, -1.3901393413543701, -0.7856804728507996, -0.... |
generative multi adversarial network | 0.8348 | [0.07388436049222946, 0.514095664024353, 0.7838364243507385, -0.05969077721238136, -0.9936808943748474, -0.7705101370811462, 0.7734379768371582, -1.1383349895477295, 0.1761007308959961, 1.1015348434448242, -0.033391792327165604, -0.29116734862327576, 0.3664981424808502, -1.149473786354065, -1.1281336545944214, -1.02389... |
computer vision | 0.832744 | [0.6288251280784607, -0.1374818980693817, -0.10807792097330093, -0.23775240778923035, -0.3641440272331238, -0.5400175452232361, 0.6756513714790344, -0.3626428544521332, -0.7445093393325806, 0.1768151819705963, -0.546623706817627, -0.6112330555915833, 0.5875253677368164, -0.4827306270599365, -0.2580718994140625, -1.0998... |
deep neural | 0.830577 | [-0.5393553972244263, -0.056806690990924835, 0.2453174889087677, -0.5036632418632507, -0.1447610855102539, -0.4923200011253357, 0.4838178753852844, -0.5513999462127686, -0.47144433856010437, 0.6465146541595459, 0.011255081743001938, -0.5813292860984802, 0.6297523975372314, -1.1465704441070557, -0.8982920050621033, -0.8... |
neural deep neural | 0.830577 | [-0.24429495632648468, 0.10246922075748444, 0.1464850902557373, -0.4380415976047516, -0.22301216423511505, -0.4048632085323334, 0.22203567624092102, -0.5893118977546692, -0.46802130341529846, 0.687183678150177, -0.0324249342083931, -0.30338677763938904, 0.6393897533416748, -0.9322951436042786, -0.6849628686904907, -1.0... |
deep learning framework | 0.829222 | [-0.7063860893249512, -0.2957616448402405, -0.005257850047200918, -0.16703923046588898, -0.4131874442100525, -0.5353310108184814, 0.6694293022155762, -0.7232354879379272, -0.3356721103191376, 0.5041894316673279, 0.17871025204658508, -0.6233839988708496, 0.09618528187274933, -1.3071824312210083, -0.5791840553283691, -0.... |
deeplearning framework | 0.829222 | [-0.9656062126159668, -0.04829217866063118, -0.1677870750427246, -0.17285704612731934, -0.492870569229126, -0.7987293004989624, 0.8700082898139954, -0.7045398950576782, -0.404883474111557, 0.722288966178894, 0.05993399769067764, -0.751125693321228, 0.1119479387998581, -1.2407114505767822, -0.6632658243179321, -0.906636... |
deep learning based framework | 0.829222 | [-0.9350926876068115, -0.28985831141471863, 0.10070385783910751, -0.3027815818786621, -0.6830167770385742, -0.5841490626335144, 0.583184003829956, -0.39373934268951416, -0.399880975484848, 0.5068089962005615, 0.2851049602031708, -0.6058590412139893, 0.08321038633584976, -1.3842434883117676, -0.3612271249294281, -0.6239... |
recurrent network training | 0.829202 | [-0.13491752743721008, 0.20945176482200623, -0.16320930421352386, -0.2552730441093445, -0.4464753270149231, -0.012472433038055897, 0.33496570587158203, -0.6930947303771973, -0.29714250564575195, 0.8879100680351257, 0.4763232171535492, -0.8355070948600769, 0.21506479382514954, -0.592546284198761, -0.40552839636802673, -... |
recurrent neural based | 0.829202 | [-0.23810692131519318, -0.028321141377091408, 0.07566968351602554, -0.1365850865840912, -1.1650099754333496, 0.19570447504520416, 0.18218488991260529, -0.3452908992767334, -0.14939460158348083, 1.0662715435028076, 0.8306325078010559, -0.5239955186843872, 0.3851653039455414, -0.7645605802536011, -0.11263667047023773, -0... |
recurrent regression network | 0.829202 | [-0.18751385807991028, 0.07412303984165192, -0.17703986167907715, -0.2270648032426834, -0.9891411662101746, 0.2482774257659912, 0.24949078261852264, -0.4709494113922119, -0.09244311600923538, 1.115574598312378, 0.4055461287498474, -0.46827206015586853, 0.1786145269870758, -0.55168616771698, -0.4623337388038635, -0.9525... |
recurrent neural network | 0.829202 | [-0.15220671892166138, -0.0031259446404874325, -0.042096931487321854, -0.15433397889137268, -0.6629716753959656, 0.001213412033393979, 0.2686416506767273, -0.5815953016281128, -0.14368927478790283, 0.9625543355941772, 0.5878692865371704, -0.615425705909729, 0.27593743801116943, -0.6674791574478149, -0.23284181952476501... |
recurrent learning network | 0.829202 | [-0.1294475495815277, 0.11236871778964996, -0.10436336696147919, -0.12976977229118347, -0.741258978843689, -0.09001421183347702, 0.41812044382095337, -0.4691668152809143, -0.12736007571220398, 1.0890636444091797, 0.5189267992973328, -0.549594521522522, 0.19479358196258545, -0.5725218057632446, -0.34103626012802124, -0.... |
recurrent memory network | 0.829202 | [-0.015651142224669456, 0.003139976877719164, -0.09927400201559067, -0.22879596054553986, -0.6182347536087036, -0.09250158071517944, 0.3272109925746918, -0.44040554761886597, -0.2068771868944168, 0.9851361513137817, 0.5538892149925232, -0.5818928480148315, 0.16021190583705902, -0.880426287651062, -0.41095036268234253, ... |
recurrent neural network based | 0.829202 | [-0.2961505055427551, -0.13683737814426422, -0.0370665043592453, -0.12253914028406143, -0.7104435563087463, 0.14016132056713104, 0.1721978634595871, -0.3738521635532379, -0.22801287472248077, 0.9634840488433838, 0.6970224976539612, -0.7198481559753418, 0.13824431598186493, -0.6810228824615479, 0.10780525207519531, -0.4... |
recurrent neural networks based | 0.829202 | [-0.3439688980579376, -0.08125533908605576, -0.14847885072231293, -0.193306565284729, -0.706307590007782, 0.19217495620250702, 0.29213768243789673, -0.5321919918060303, -0.25173941254615784, 0.9307253360748291, 0.6688345074653625, -0.6588600277900696, -0.004274651408195496, -0.7163276076316833, -0.03910777345299721, -0... |
data set | 0.820141 | [-0.3125547170639038, -0.19060687720775604, -0.2104046642780304, -1.1515588760375977, -0.22555992007255554, -0.6991794109344482, 0.650719404220581, 0.13106225430965424, -0.4501192271709442, 0.7707585096359253, 0.09815509617328644, -0.3627353012561798, -0.7990708351135254, -1.4408797025680542, -0.01325550302863121, -1.1... |
chosen data | 0.820141 | [-0.28210338950157166, 0.2816702127456665, -0.3794911503791809, -1.1377389430999756, -1.3424872159957886, -0.269797146320343, 0.5681312084197998, 0.1776524931192398, -0.8041985034942627, 1.1864038705825806, 0.17490512132644653, -0.25101205706596375, -0.9829757809638977, -0.881676971912384, -0.35613736510276794, -1.3725... |
computer vision task | 0.815326 | [0.4876329302787781, -0.136327862739563, 0.7394565343856812, -0.35188013315200806, -0.7458616495132446, -0.7616204023361206, 0.6969055533409119, -0.5057324171066284, -1.444205641746521, 0.5003433227539062, -0.5901542901992798, -0.5304073691368103, 0.4528118669986725, -0.2294190376996994, -0.7460634708404541, -1.1004705... |
natural language processing | 0.806377 | [0.22814974188804626, 0.21216729283332825, 0.20066018402576447, -0.5921153426170349, -0.8288787007331848, -0.7767542600631714, 1.044294834136963, 1.0906033515930176, -0.9385913610458374, 0.6679274439811707, 0.7408468723297119, -1.198014497756958, 0.6586375832557678, -1.3423486948013306, -0.4879674017429352, 0.152747690... |
natural language processing based | 0.806377 | [-0.12349652498960495, -0.1301422268152237, 0.29845884442329407, -0.6670052409172058, -0.9741544723510742, -0.5174493193626404, 0.9895236492156982, 0.7129411697387695, -1.044723629951477, 0.6292052865028381, 0.8583898544311523, -1.1585261821746826, 0.16340869665145874, -1.342471718788147, -0.2440425157546997, 0.1507794... |
deepvit architecture | 0.805017 | [-0.9071925282478333, 0.6259839534759521, 0.07857323437929153, -0.4980809688568115, -0.6722673773765564, -0.4177546501159668, 0.44955068826675415, -0.9785852432250977, -0.2907140851020813, 0.6873874664306641, 0.3546488285064697, -0.702050507068634, 0.40602797269821167, -0.7069568634033203, -0.7743498682975769, -0.75990... |
deep learning architecture | 0.805017 | [-0.7117319107055664, 0.10916268825531006, 0.06194400042295456, -0.34935954213142395, -0.18227428197860718, -0.31600791215896606, 0.6771284937858582, -0.556710422039032, -0.5175607800483704, 0.42460379004478455, 0.17388591170310974, -0.7108705639839172, 0.33568432927131653, -1.1268091201782227, -0.6216319799423218, -0.... |
benchmark datasets | 0.803806 | [0.06695055216550827, -0.5822420120239258, -0.5526617765426636, -0.38622331619262695, -0.9618063569068909, -0.8398684859275818, 0.5263559818267822, -0.1596246212720871, -0.5387524962425232, 1.351269006729126, -0.1663421392440796, -0.3871392011642456, -0.27140629291534424, -1.208777666091919, -0.5323867797851562, -1.063... |
natural language inference | 0.803281 | [-0.13259944319725037, 0.49181652069091797, -0.23290249705314636, -0.5616839528083801, -0.2982257008552551, -0.8846664428710938, 1.2630281448364258, 0.3081977963447571, -0.36811453104019165, 1.7642362117767334, 0.36020123958587646, -1.7230539321899414, 0.3246309757232666, -1.6594972610473633, -1.1535911560058594, -0.20... |
reinforcement algorithm | 0.797172 | [-0.4841020703315735, 0.2846095561981201, -0.44094395637512207, 0.09767207503318787, -0.16311213374137878, -0.4776840806007385, 0.5674891471862793, -0.31255805492401123, -0.66554856300354, 1.8950849771499634, -0.3971274197101593, -0.4312363564968109, -0.13881656527519226, -1.3706400394439697, -0.6242555975914001, -0.91... |
popular q learning algorithm | 0.797172 | [-0.6444233655929565, -0.09428366273641586, -0.6014861464500427, 0.29970771074295044, -0.6769425868988037, -0.2298133820295334, 0.25282031297683716, 0.13245287537574768, -0.7374558448791504, 1.6828902959823608, -0.39944541454315186, -0.45117688179016113, -0.2590095102787018, -1.0475777387619019, -0.29183509945869446, -... |
successful q learning algorithm | 0.797172 | [-0.5776124000549316, 0.0898396372795105, -0.579409122467041, 0.19071513414382935, -0.6364090442657471, -0.17149370908737183, 0.16955925524234772, -0.2256499081850052, -0.5863344669342041, 1.6568913459777832, -0.5399072766304016, -0.45373785495758057, -0.48462310433387756, -1.0001822710037231, -0.42019882798194885, -0.... |
basic q learning algorithm | 0.797172 | [-0.6353065371513367, -0.0889824852347374, -0.6396907567977905, 0.1235661506652832, -0.6113892197608948, -0.17384450137615204, 0.029271921142935753, -0.07813656330108643, -0.7911217212677002, 1.5935019254684448, -0.4734170138835907, -0.5620256066322327, -0.1787009835243225, -1.0527818202972412, -0.38715508580207825, -1... |
q learning method | 0.797172 | [-0.6027514934539795, 0.19257690012454987, -0.5754485130310059, 0.07209493219852448, -0.7369856834411621, -0.2647990882396698, 0.32611456513404846, -0.18206998705863953, -0.5095254182815552, 1.8121325969696045, -0.31522566080093384, -0.5473669171333313, -0.27812495827674866, -1.130130410194397, -0.30960220098495483, -0... |
q learning algorithm application | 0.797172 | [-0.3259326219558716, 0.10017412900924683, -0.6139246821403503, 0.06064438819885254, -0.7175117135047913, -0.1426226943731308, 0.08611146360635757, -0.07721703499555588, -0.7058532238006592, 1.737317681312561, -0.5061796307563782, -0.5104543566703796, -0.5363605618476868, -1.0828399658203125, -0.17864727973937988, -0.9... |
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