kardosdrur/topic-benchmark-results · Datasets at Hugging Face

dataset stringclasses 6 values	model stringclasses 13 values	seed int64 42 46	n_topics int64 10 50	topic_descriptions sequencelengths 1 50	runtime_s float64 0.93 52.3k	encoder stringclasses 5 values	diversity float64 0.09 1	c_npmi float64 -0.38 0.21	wec_ex float64 0.11 0.49	wec_in float64 0.07 0.94
ArXiv ML Papers	BERTopic	43	10	[ [ "with", "of", "we", "for", "in", "and", "the", "that", "is", "to" ], [ "to", "the", "privacy", "federated", "learning", "of", "data", "and", "in", "we" ], [ "in", "of", "that", "the", "and", "to", "...	19.087417	all-MiniLM-L6-v2	0.32	-0.028712	0.232479	0.556292
ArXiv ML Papers	BERTopic	44	10	[ [ "we", "of", "in", "and", "the", "that", "is", "for", "to", "on" ], [ "to", "of", "the", "in", "and", "we", "that", "for", "is", "on" ], [ "and", "fairness", "of", "we", "in", "to", "the", "that"...	14.536075	all-MiniLM-L6-v2	0.32	-0.025437	0.23001	0.543245
ArXiv ML Papers	BERTopic	45	10	[ [ "on", "in", "we", "the", "and", "of", "for", "to", "that", "is" ], [ "for", "of", "image", "to", "on", "the", "we", "and", "in", "with" ], [ "the", "privacy", "federated", "to", "and", "learning", "...	14.676268	all-MiniLM-L6-v2	0.3	-0.026364	0.224854	0.539863
ArXiv ML Papers	BERTopic	46	10	[ [ "the", "of", "to", "time", "and", "in", "for", "data", "series", "is" ], [ "to", "the", "and", "of", "in", "for", "data", "learning", "we", "is" ], [ "attacks", "we", "in", "adversarial", "of", "and", ...	14.212026	all-MiniLM-L6-v2	0.29	-0.030181	0.222051	0.532827
ArXiv ML Papers	BERTopic	43	20	[ [ "in", "with", "the", "image", "segmentation", "of", "for", "to", "we", "and" ], [ "and", "image", "to", "gans", "gan", "of", "images", "generative", "the", "we" ], [ "3d", "scene", "and", "point", "the", ...	15.018337	all-MiniLM-L6-v2	0.395	-0.00707	0.172834	0.582825
ArXiv ML Papers	BERTopic	44	20	[ [ "segmentation", "the", "and", "to", "in", "of", "with", "image", "for", "we" ], [ "for", "and", "the", "of", "we", "uncertainty", "to", "variational", "in", "is" ], [ "of", "to", "the", "pruning", "and", ...	14.292851	all-MiniLM-L6-v2	0.395	-0.009121	0.174477	0.578752
ArXiv ML Papers	BERTopic	45	20	[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...	37.529427	all-MiniLM-L6-v2	0.357895	-0.008285	0.179466	0.583949
ArXiv ML Papers	BERTopic	46	20	[ [ "the", "of", "and", "to", "in", "neural", "network", "we", "networks", "for" ], [ "of", "to", "metric", "the", "learning", "distance", "data", "in", "we", "is" ], [ "segmentation", "of", "and", "to", "the",...	13.924605	all-MiniLM-L6-v2	0.38	-0.006415	0.178178	0.564837
ArXiv ML Papers	BERTopic	43	30	[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...	11.780045	all-MiniLM-L6-v2	0.390476	-0.006637	0.170969	0.576168
ArXiv ML Papers	BERTopic	44	30	[ [ "we", "in", "learning", "to", "the", "policy", "that", "of", "and", "is" ], [ "to", "fair", "of", "and", "fairness", "the", "we", "that", "machine", "learning" ], [ "data", "federated", "server", "to", "dis...	11.743433	all-MiniLM-L6-v2	0.395238	-0.009103	0.171947	0.583365
ArXiv ML Papers	BERTopic	45	30	[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...	11.415018	all-MiniLM-L6-v2	0.357895	-0.008285	0.179466	0.564226
ArXiv ML Papers	BERTopic	46	30	[ [ "learning", "policy", "in", "of", "the", "we", "and", "to", "that", "reinforcement" ], [ "learning", "federated", "the", "to", "data", "devices", "server", "and", "distributed", "communication" ], [ "that", "the", ...	12.662092	all-MiniLM-L6-v2	0.425	0.002061	0.164638	0.605135
ArXiv ML Papers	BERTopic	43	40	[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...	15.499882	all-MiniLM-L6-v2	0.390476	-0.006637	0.170969	0.576788
ArXiv ML Papers	BERTopic	44	40	[ [ "we", "in", "learning", "to", "the", "policy", "that", "of", "and", "is" ], [ "to", "fair", "of", "and", "fairness", "the", "we", "that", "machine", "learning" ], [ "data", "federated", "server", "to", "dis...	26.208948	all-MiniLM-L6-v2	0.395238	-0.009103	0.171947	0.589815
ArXiv ML Papers	BERTopic	45	40	[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...	13.015473	all-MiniLM-L6-v2	0.357895	-0.008285	0.179466	0.561053
ArXiv ML Papers	BERTopic	46	40	[ [ "learning", "policy", "in", "of", "the", "we", "and", "to", "that", "reinforcement" ], [ "learning", "federated", "the", "to", "data", "devices", "server", "and", "distributed", "communication" ], [ "that", "the", ...	31.63049	all-MiniLM-L6-v2	0.425	0.002061	0.164638	0.597184
ArXiv ML Papers	BERTopic	43	50	[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...	12.399162	all-MiniLM-L6-v2	0.390476	-0.006637	0.170969	0.587098
ArXiv ML Papers	BERTopic	45	50	[ [ "the", "to", "policy", "and", "learning", "that", "we", "of", "in", "is" ], [ "server", "to", "federated", "data", "the", "learning", "and", "distributed", "devices", "training" ], [ "we", "and", "to", "the", ...	498.173665	all-MiniLM-L6-v2	0.404762	-0.005565	0.17295	0.592389
ArXiv ML Papers	BERTopic	46	50	[ [ "in", "policy", "and", "of", "to", "learning", "the", "we", "that", "is" ], [ "distributed", "learning", "devices", "server", "federated", "the", "to", "data", "and", "training" ], [ "adversarial", "the", "attacks"...	529.846204	all-MiniLM-L6-v2	0.37619	-0.004715	0.17169	0.580724
ArXiv ML Papers	NMF	43	10	[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "to", "the", "be", "this", "neural", "model", "from", "can", "networks", "an" ], [ "to", "an", "of", "this", "the", "number...	1.813817	all-MiniLM-L6-v2	0.49	-0.008151	0.195331	0.467242
ArXiv ML Papers	NMF	44	10	[ [ "method", "on", "of", "to", "is", "proposed", "and", "based", "the", "by" ], [ "the", "from", "this", "to", "model", "be", "neural", "can", "an", "networks" ], [ "to", "an", "of", "this", "the", "number...	2.021709	all-MiniLM-L6-v2	0.49	-0.008151	0.195331	0.464778
ArXiv ML Papers	NMF	45	10	[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "the", "from", "this", "to", "model", "be", "neural", "can", "an", "networks" ], [ "to", "an", "of", "this", "the", "number...	2.06287	all-MiniLM-L6-v2	0.49	-0.008151	0.195331	0.469553
ArXiv ML Papers	NMF	46	10	[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "to", "the", "be", "this", "neural", "model", "from", "can", "networks", "an" ], [ "to", "an", "of", "this", "the", "number...	1.930904	all-MiniLM-L6-v2	0.49	-0.008151	0.195331	0.47231
ArXiv ML Papers	NMF	43	20	[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...	2.422656	all-MiniLM-L6-v2	0.565	0.013258	0.170953	0.561412
ArXiv ML Papers	NMF	44	20	[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...	2.538431	all-MiniLM-L6-v2	0.565	0.013258	0.170953	0.559352
ArXiv ML Papers	NMF	45	20	[ [ "by", "to", "of", "the", "proposed", "results", "using", "between", "information", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...	2.535384	all-MiniLM-L6-v2	0.565	0.013258	0.170953	0.559035
ArXiv ML Papers	NMF	46	20	[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "the", "due", "to", "an", "from", "this", "their", "it", "approach", "framework" ], [ "these", "set", "the", "this",...	2.505962	all-MiniLM-L6-v2	0.565	0.013258	0.170953	0.557773
ArXiv ML Papers	NMF	43	30	[ [ "of", "to", "problem", "results", "the", "between", "proposed", "information", "two", "space" ], [ "due", "the", "their", "to", "use", "have", "human", "it", "end", "search" ], [ "the", "of", "number", "set", ...	3.53165	all-MiniLM-L6-v2	0.566667	0.022401	0.162399	0.62859
ArXiv ML Papers	NMF	44	30	[ [ "to", "proposed", "between", "of", "the", "results", "problem", "two", "information", "space" ], [ "human", "to", "their", "due", "use", "it", "end", "have", "framework", "search" ], [ "these", "set", "and", "t...	3.492299	all-MiniLM-L6-v2	0.566667	0.022383	0.15836	0.63278
ArXiv ML Papers	NMF	45	30	[ [ "two", "of", "problem", "to", "proposed", "results", "between", "the", "information", "using" ], [ "to", "the", "due", "use", "their", "it", "human", "have", "search", "framework" ], [ "large", "art", "set", "t...	3.537155	all-MiniLM-L6-v2	0.543333	0.020288	0.16415	0.626309
ArXiv ML Papers	NMF	46	30	[ [ "proposed", "the", "to", "results", "of", "between", "by", "two", "problem", "information" ], [ "the", "it", "due", "search", "to", "human", "use", "this", "end", "their" ], [ "these", "art", "set", "analysis",...	3.519023	all-MiniLM-L6-v2	0.556667	0.019611	0.163618	0.617932
ArXiv ML Papers	NMF	43	40	[ [ "results", "of", "strategy", "between", "proposed", "information", "the", "test", "was", "error" ], [ "due", "their", "approach", "framework", "use", "to", "compared", "human", "able", "often" ], [ "analysis", "number"...	5.106921	all-MiniLM-L6-v2	0.5825	0.008913	0.149585	0.670219
ArXiv ML Papers	NMF	44	40	[ [ "the", "error", "of", "was", "proposed", "between", "results", "information", "two", "test" ], [ "due", "it", "to", "human", "search", "use", "their", "have", "approach", "able" ], [ "large", "these", "number", ...	5.076314	all-MiniLM-L6-v2	0.56	0.017912	0.157493	0.644569
ArXiv ML Papers	NMF	45	40	[ [ "the", "of", "proposed", "results", "between", "error", "two", "information", "test", "problem" ], [ "use", "their", "to", "due", "it", "search", "framework", "human", "have", "however" ], [ "and", "of", "number", ...	5.337978	all-MiniLM-L6-v2	0.5525	0.016879	0.153486	0.64701
ArXiv ML Papers	NMF	46	40	[ [ "the", "problem", "error", "results", "of", "between", "proposed", "two", "space", "information" ], [ "use", "due", "to", "it", "human", "their", "have", "framework", "search", "approach" ], [ "terms", "analysis", ...	5.098675	all-MiniLM-L6-v2	0.5475	0.01484	0.159135	0.638216
ArXiv ML Papers	NMF	43	50	[ [ "of", "test", "proposed", "error", "the", "was", "between", "results", "strategy", "one" ], [ "to", "due", "use", "human", "able", "approach", "their", "often", "compared", "framework" ], [ "set", "number", "these"...	6.24702	all-MiniLM-L6-v2	0.56	0.007192	0.147988	0.67742
ArXiv ML Papers	NMF	44	50	[ [ "between", "information", "the", "error", "proposed", "results", "was", "of", "strategy", "conditions" ], [ "compared", "due", "to", "use", "able", "their", "approach", "framework", "often", "end" ], [ "of", "and", ...	6.245105	all-MiniLM-L6-v2	0.59	0.007457	0.150291	0.68471
ArXiv ML Papers	NMF	45	50	[ [ "of", "between", "proposed", "results", "error", "the", "was", "strategy", "conditions", "one" ], [ "often", "able", "use", "approach", "to", "their", "compared", "due", "framework", "ability" ], [ "analysis", "terms",...	6.301346	all-MiniLM-L6-v2	0.58	0.009219	0.151183	0.683603
ArXiv ML Papers	NMF	46	50	[ [ "two", "results", "between", "proposed", "error", "the", "of", "information", "test", "was" ], [ "framework", "their", "use", "due", "to", "able", "compared", "approach", "often", "ability" ], [ "set", "analysis", ...	6.587935	all-MiniLM-L6-v2	0.586	0.010488	0.153716	0.689687
ArXiv ML Papers	LDA	43	10	[ [ "of", "to", "the", "in", "and", "we", "is", "for", "learning", "that" ], [ "and", "the", "that", "of", "for", "in", "we", "is", "to", "on" ], [ "image", "generative", "gan", "gans", "and", "the", "g...	10.928315	all-MiniLM-L6-v2	0.26	-0.028659	0.262092	0.52677
ArXiv ML Papers	LDA	44	10	[ [ "of", "the", "series", "and", "time", "to", "in", "we", "for", "models" ], [ "on", "and", "is", "we", "to", "in", "the", "of", "with", "for" ], [ "to", "for", "graph", "in", "of", "we", "that", ...	11.216451	all-MiniLM-L6-v2	0.33	-0.048647	0.253008	0.557253
ArXiv ML Papers	LDA	45	10	[ [ "we", "on", "that", "the", "and", "of", "graph", "to", "in", "is" ], [ "the", "we", "of", "to", "and", "in", "learning", "that", "this", "on" ], [ "on", "for", "to", "of", "and", "in", "the", "w...	19.839619	all-MiniLM-L6-v2	0.38	-0.04485	0.241503	0.567928
ArXiv ML Papers	LDA	46	10	[ [ "to", "in", "and", "of", "the", "we", "is", "neural", "for", "on" ], [ "we", "adversarial", "of", "the", "and", "to", "attacks", "training", "that", "on" ], [ "the", "of", "to", "and", "in", "on", "...	10.933623	all-MiniLM-L6-v2	0.35	-0.055283	0.261051	0.565739
ArXiv ML Papers	LDA	43	20	[ [ "to", "in", "learning", "the", "of", "data", "is", "and", "communication", "model" ], [ "and", "network", "neural", "of", "to", "the", "networks", "we", "in", "that" ], [ "image", "generator", "gans", "likeliho...	12.112303	all-MiniLM-L6-v2	0.315	-0.023955	0.215658	0.56059
ArXiv ML Papers	LDA	44	20	[ [ "to", "series", "time", "of", "and", "the", "in", "video", "we", "for" ], [ "the", "to", "and", "of", "in", "for", "we", "is", "on", "with" ], [ "and", "the", "to", "of", "in", "we", "data", "is...	21.244746	all-MiniLM-L6-v2	0.355	-0.032252	0.226536	0.583911
ArXiv ML Papers	LDA	45	20	[ [ "on", "and", "the", "in", "to", "we", "is", "of", "that", "for" ], [ "the", "to", "of", "we", "and", "in", "learning", "that", "on", "for" ], [ "and", "to", "target", "we", "the", "of", "in", "l...	20.694685	all-MiniLM-L6-v2	0.335	-0.048407	0.212405	0.557579
ArXiv ML Papers	LDA	46	20	[ [ "network", "the", "to", "of", "we", "in", "neural", "networks", "and", "on" ], [ "the", "of", "and", "to", "for", "with", "on", "we", "is", "that" ], [ "on", "of", "and", "the", "with", "in", "to", ...	11.831478	all-MiniLM-L6-v2	0.39	-0.050428	0.208954	0.586658
ArXiv ML Papers	LDA	43	30	[ [ "to", "is", "learning", "the", "and", "of", "in", "transfer", "with", "supervised" ], [ "neural", "network", "the", "of", "networks", "to", "and", "speech", "layer", "this" ], [ "generalization", "as", "functions",...	13.241964	all-MiniLM-L6-v2	0.4	-0.039303	0.200602	0.60234
ArXiv ML Papers	LDA	44	30	[ [ "in", "we", "deep", "design", "to", "the", "and", "of", "models", "translation" ], [ "in", "and", "the", "we", "of", "is", "on", "to", "for", "network" ], [ "to", "of", "and", "in", "graph", "we", "...	13.062546	all-MiniLM-L6-v2	0.416667	-0.046981	0.187724	0.604609
ArXiv ML Papers	LDA	45	30	[ [ "in", "to", "model", "of", "the", "we", "and", "on", "is", "data" ], [ "to", "of", "learning", "that", "we", "the", "and", "policy", "in", "reinforcement" ], [ "in", "domain", "and", "transfer", "to", "...	12.018622	all-MiniLM-L6-v2	0.443333	-0.071942	0.169726	0.634942
ArXiv ML Papers	LDA	46	30	[ [ "the", "and", "to", "of", "in", "neural", "we", "network", "on", "networks" ], [ "is", "for", "the", "in", "and", "we", "our", "to", "of", "with" ], [ "the", "and", "in", "of", "on", "to", "data", ...	12.875089	all-MiniLM-L6-v2	0.336667	-0.098042	0.191397	0.648427
ArXiv ML Papers	LDA	43	40	[ [ "the", "for", "is", "in", "of", "distributed", "and", "to", "communication", "flow" ], [ "to", "the", "speech", "of", "signals", "and", "text", "in", "we", "word" ], [ "loss", "open", "source", "goals", "an...	12.933721	all-MiniLM-L6-v2	0.3475	-0.043755	0.195528	0.61362
ArXiv ML Papers	LDA	44	40	[ [ "of", "to", "the", "we", "manifold", "in", "for", "neural", "on", "and" ], [ "the", "and", "to", "with", "neural", "in", "of", "on", "we", "for" ], [ "data", "we", "on", "of", "the", "that", "and", ...	13.056187	all-MiniLM-L6-v2	0.3425	-0.037738	0.207822	0.592155
ArXiv ML Papers	LDA	45	40	[ [ "rank", "the", "and", "matrix", "of", "tensor", "we", "is", "for", "in" ], [ "with", "of", "learning", "in", "we", "rl", "to", "the", "that", "and" ], [ "domain", "the", "of", "and", "to", "target", ...	13.227212	all-MiniLM-L6-v2	0.4	-0.058412	0.186957	0.626419
ArXiv ML Papers	LDA	46	40	[ [ "in", "the", "networks", "network", "of", "neural", "we", "and", "to", "that" ], [ "fairness", "that", "in", "and", "to", "is", "we", "the", "for", "of" ], [ "the", "in", "on", "we", "and", "of", "t...	13.765348	all-MiniLM-L6-v2	0.3825	-0.072976	0.192218	0.644522
ArXiv ML Papers	LDA	43	50	[ [ "is", "of", "for", "distributed", "the", "communication", "to", "and", "data", "as" ], [ "cifar", "transformation", "the", "10", "transformations", "relu", "activation", "neurons", "100", "of" ], [ "exploration", "band...	23.874444	all-MiniLM-L6-v2	0.364	-0.051004	0.189744	0.61902
ArXiv ML Papers	LDA	44	50	[ [ "image", "generative", "gan", "the", "to", "of", "generator", "images", "gans", "and" ], [ "of", "and", "in", "the", "to", "we", "for", "domain", "model", "on" ], [ "of", "in", "to", "and", "that", "the...	14.476796	all-MiniLM-L6-v2	0.356	-0.035463	0.186418	0.596312
ArXiv ML Papers	LDA	45	50	[ [ "and", "of", "the", "matrix", "is", "we", "that", "for", "in", "on" ], [ "the", "to", "learning", "in", "and", "policy", "we", "reinforcement", "that", "of" ], [ "classification", "in", "the", "is", "learni...	14.255966	all-MiniLM-L6-v2	0.39	-0.061498	0.18372	0.637337
ArXiv ML Papers	LDA	46	50	[ [ "the", "of", "to", "in", "and", "on", "is", "we", "network", "model" ], [ "and", "the", "of", "we", "is", "in", "to", "for", "with", "that" ], [ "the", "and", "in", "to", "tensor", "traffic", "of", ...	14.030783	all-MiniLM-L6-v2	0.33	-0.072721	0.191163	0.638094
ArXiv ML Papers	Top2Vec	43	10	[ [ "cnns", "cnn", "adversary", "classifiers", "supervised", "adversarial", "adversarially", "softmax", "classifier", "imagenet" ], [ "learnt", "learns", "ai", "bandit", "bandits", "learnable", "reinforcement", "learning", "planning", ...	656.29102	all-MiniLM-L6-v2	0.54	-0.278403	0.14962	0.846283
ArXiv ML Papers	Top2Vec	44	10	[ [ "supervised", "adversarial", "adversarially", "classifiers", "classifier", "softmax", "classification", "classifying", "adversary", "cnns" ], [ "ai", "reinforcement", "bandit", "planning", "learning", "learns", "learnt", "bandits", "l...	673.252285	all-MiniLM-L6-v2	0.56	-0.26459	0.160135	0.845661
ArXiv ML Papers	Top2Vec	45	10	[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "adversarial", "softmax", "adversarially", "classifier", "classifiers", "supervised", "adversary", "cnns", "classifica...	584.320705	all-MiniLM-L6-v2	0.56	-0.273268	0.174848	0.846271
ArXiv ML Papers	Top2Vec	46	10	[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversary", "softmax", "adversarial", "adversarially", "classifiers", "cnns", "supervised", "cnn", "classifier", ...	634.524863	all-MiniLM-L6-v2	0.53	-0.269991	0.153078	0.853081
ArXiv ML Papers	Top2Vec	43	20	[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...	608.984458	all-MiniLM-L6-v2	0.45	-0.266672	0.173274	0.85077
ArXiv ML Papers	Top2Vec	44	20	[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...	535.264348	all-MiniLM-L6-v2	0.47	-0.253657	0.174505	0.844253
ArXiv ML Papers	Top2Vec	45	20	[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...	588.672674	all-MiniLM-L6-v2	0.455	-0.250703	0.178586	0.840558
ArXiv ML Papers	Top2Vec	46	20	[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...	631.574545	all-MiniLM-L6-v2	0.45	-0.259184	0.173666	0.84807
ArXiv ML Papers	Top2Vec	43	30	[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...	577.164902	all-MiniLM-L6-v2	0.452381	-0.264192	0.17378	0.84458
ArXiv ML Papers	Top2Vec	44	30	[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...	601.105897	all-MiniLM-L6-v2	0.480952	-0.2564	0.172465	0.844825
ArXiv ML Papers	Top2Vec	45	30	[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...	597.81598	all-MiniLM-L6-v2	0.442857	-0.252986	0.175005	0.843511
ArXiv ML Papers	Top2Vec	46	30	[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...	498.065006	all-MiniLM-L6-v2	0.452381	-0.262968	0.171184	0.850088
ArXiv ML Papers	Top2Vec	43	40	[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...	640.464483	all-MiniLM-L6-v2	0.452381	-0.264192	0.17378	0.845774
ArXiv ML Papers	Top2Vec	44	40	[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...	569.045129	all-MiniLM-L6-v2	0.480952	-0.2564	0.172465	0.846093
ArXiv ML Papers	Top2Vec	45	40	[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...	569.015667	all-MiniLM-L6-v2	0.442857	-0.252986	0.175005	0.842255
ArXiv ML Papers	Top2Vec	46	40	[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...	584.353214	all-MiniLM-L6-v2	0.452381	-0.262968	0.171184	0.844559
ArXiv ML Papers	Top2Vec	43	50	[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...	498.800022	all-MiniLM-L6-v2	0.452381	-0.264192	0.17378	0.850448
ArXiv ML Papers	Top2Vec	44	50	[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...	530.921954	all-MiniLM-L6-v2	0.480952	-0.2564	0.172465	0.845788
ArXiv ML Papers	Top2Vec	45	50	[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...	651.461712	all-MiniLM-L6-v2	0.442857	-0.252986	0.175005	0.843242
ArXiv ML Papers	Top2Vec	46	50	[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...	640.067949	all-MiniLM-L6-v2	0.452381	-0.262968	0.171184	0.850129
ArXiv ML Papers	GMM	43	10	[ [ "kernel", "clustering", "matrix", "rank", "series", "time", "regression", "proposed", "tensor", "algorithm" ], [ "gnns", "link", "node", "embedding", "graphs", "graph", "nodes", "structure", "networks", "social" ], [ "rewa...	2.576472	all-MiniLM-L6-v2	0.94	0.053246	0.1459	0.813589
ArXiv ML Papers	GMM	44	10	[ [ "speech", "recognition", "speaker", "acoustic", "asr", "audio", "music", "signal", "end", "quality" ], [ "posterior", "variational", "inference", "estimation", "bayesian", "distribution", "latent", "gaussian", "series", "processes...	2.836519	all-MiniLM-L6-v2	0.98	0.06128	0.149774	0.825734
ArXiv ML Papers	GMM	45	10	[ [ "detection", "segmentation", "visual", "gan", "image", "images", "object", "convolutional", "supervised", "medical" ], [ "examples", "against", "adversarial", "defense", "perturbations", "attack", "attacks", "privacy", "robust", "...	2.766196	all-MiniLM-L6-v2	0.97	0.024243	0.165378	0.838997
ArXiv ML Papers	GMM	46	10	[ [ "convex", "matrix", "algorithm", "convergence", "algorithms", "linear", "kernel", "problems", "rank", "optimization" ], [ "nodes", "graph", "link", "node", "embedding", "gnns", "graphs", "networks", "structure", "embeddings" ], ...	2.882266	all-MiniLM-L6-v2	0.98	0.054135	0.155939	0.826401
ArXiv ML Papers	GMM	43	20	[ [ "algorithm", "rank", "tensor", "matrix", "low", "kernel", "clustering", "sparse", "linear", "subspace" ], [ "graph", "link", "embedding", "node", "gnns", "nodes", "graphs", "structure", "embeddings", "representation" ], [ ...	4.033339	all-MiniLM-L6-v2	0.9	0.016575	0.153815	0.857305

ArXiv ML Papers

BERTopic

43

10

[ [ "with", "of", "we", "for", "in", "and", "the", "that", "is", "to" ], [ "to", "the", "privacy", "federated", "learning", "of", "data", "and", "in", "we" ], [ "in", "of", "that", "the", "and", "to", "...

19.087417

all-MiniLM-L6-v2

0.32

-0.028712

0.232479

0.556292

ArXiv ML Papers

BERTopic

44

10

[ [ "we", "of", "in", "and", "the", "that", "is", "for", "to", "on" ], [ "to", "of", "the", "in", "and", "we", "that", "for", "is", "on" ], [ "and", "fairness", "of", "we", "in", "to", "the", "that"...

14.536075

all-MiniLM-L6-v2

0.32

-0.025437

0.23001

0.543245

ArXiv ML Papers

BERTopic

45

10

[ [ "on", "in", "we", "the", "and", "of", "for", "to", "that", "is" ], [ "for", "of", "image", "to", "on", "the", "we", "and", "in", "with" ], [ "the", "privacy", "federated", "to", "and", "learning", "...

14.676268

all-MiniLM-L6-v2

0.3

-0.026364

0.224854

0.539863

ArXiv ML Papers

BERTopic

46

10

[ [ "the", "of", "to", "time", "and", "in", "for", "data", "series", "is" ], [ "to", "the", "and", "of", "in", "for", "data", "learning", "we", "is" ], [ "attacks", "we", "in", "adversarial", "of", "and", ...

14.212026

all-MiniLM-L6-v2

0.29

-0.030181

0.222051

0.532827

ArXiv ML Papers

BERTopic

43

20

[ [ "in", "with", "the", "image", "segmentation", "of", "for", "to", "we", "and" ], [ "and", "image", "to", "gans", "gan", "of", "images", "generative", "the", "we" ], [ "3d", "scene", "and", "point", "the", ...

15.018337

all-MiniLM-L6-v2

0.395

-0.00707

0.172834

0.582825

ArXiv ML Papers

BERTopic

44

20

[ [ "segmentation", "the", "and", "to", "in", "of", "with", "image", "for", "we" ], [ "for", "and", "the", "of", "we", "uncertainty", "to", "variational", "in", "is" ], [ "of", "to", "the", "pruning", "and", ...

14.292851

all-MiniLM-L6-v2

0.395

-0.009121

0.174477

0.578752

ArXiv ML Papers

BERTopic

45

20

[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...

37.529427

all-MiniLM-L6-v2

0.357895

-0.008285

0.179466

0.583949

ArXiv ML Papers

BERTopic

46

20

[ [ "the", "of", "and", "to", "in", "neural", "network", "we", "networks", "for" ], [ "of", "to", "metric", "the", "learning", "distance", "data", "in", "we", "is" ], [ "segmentation", "of", "and", "to", "the",...

13.924605

all-MiniLM-L6-v2

0.38

-0.006415

0.178178

0.564837

ArXiv ML Papers

BERTopic

43

30

[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...

11.780045

all-MiniLM-L6-v2

0.390476

-0.006637

0.170969

0.576168

ArXiv ML Papers

BERTopic

44

30

[ [ "we", "in", "learning", "to", "the", "policy", "that", "of", "and", "is" ], [ "to", "fair", "of", "and", "fairness", "the", "we", "that", "machine", "learning" ], [ "data", "federated", "server", "to", "dis...

11.743433

all-MiniLM-L6-v2

0.395238

-0.009103

0.171947

0.583365

ArXiv ML Papers

BERTopic

45

30

[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...

11.415018

all-MiniLM-L6-v2

0.357895

-0.008285

0.179466

0.564226

ArXiv ML Papers

BERTopic

46

30

[ [ "learning", "policy", "in", "of", "the", "we", "and", "to", "that", "reinforcement" ], [ "learning", "federated", "the", "to", "data", "devices", "server", "and", "distributed", "communication" ], [ "that", "the", ...

12.662092

all-MiniLM-L6-v2

0.425

0.002061

0.164638

0.605135

ArXiv ML Papers

BERTopic

43

40

[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...

15.499882

all-MiniLM-L6-v2

0.390476

-0.006637

0.170969

0.576788

ArXiv ML Papers

BERTopic

44

40

[ [ "we", "in", "learning", "to", "the", "policy", "that", "of", "and", "is" ], [ "to", "fair", "of", "and", "fairness", "the", "we", "that", "machine", "learning" ], [ "data", "federated", "server", "to", "dis...

26.208948

all-MiniLM-L6-v2

0.395238

-0.009103

0.171947

0.589815

ArXiv ML Papers

BERTopic

45

40

[ [ "we", "policy", "that", "learning", "in", "the", "and", "of", "to", "is" ], [ "and", "fairness", "fair", "to", "we", "that", "of", "the", "machine", "learning" ], [ "we", "the", "in", "of", "neural", "t...

13.015473

all-MiniLM-L6-v2

0.357895

-0.008285

0.179466

0.561053

ArXiv ML Papers

BERTopic

46

40

[ [ "learning", "policy", "in", "of", "the", "we", "and", "to", "that", "reinforcement" ], [ "learning", "federated", "the", "to", "data", "devices", "server", "and", "distributed", "communication" ], [ "that", "the", ...

31.63049

all-MiniLM-L6-v2

0.425

0.002061

0.164638

0.597184

ArXiv ML Papers

BERTopic

43

50

[ [ "distributed", "the", "federated", "learning", "to", "devices", "data", "server", "communication", "and" ], [ "we", "learning", "of", "in", "the", "to", "policy", "and", "that", "is" ], [ "attacks", "the", "to", ...

12.399162

all-MiniLM-L6-v2

0.390476

-0.006637

0.170969

0.587098

ArXiv ML Papers

BERTopic

45

50

[ [ "the", "to", "policy", "and", "learning", "that", "we", "of", "in", "is" ], [ "server", "to", "federated", "data", "the", "learning", "and", "distributed", "devices", "training" ], [ "we", "and", "to", "the", ...

498.173665

all-MiniLM-L6-v2

0.404762

-0.005565

0.17295

0.592389

ArXiv ML Papers

BERTopic

46

50

[ [ "in", "policy", "and", "of", "to", "learning", "the", "we", "that", "is" ], [ "distributed", "learning", "devices", "server", "federated", "the", "to", "data", "and", "training" ], [ "adversarial", "the", "attacks"...

529.846204

all-MiniLM-L6-v2

0.37619

-0.004715

0.17169

0.580724

ArXiv ML Papers

NMF

43

10

[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "to", "the", "be", "this", "neural", "model", "from", "can", "networks", "an" ], [ "to", "an", "of", "this", "the", "number...

1.813817

all-MiniLM-L6-v2

0.49

-0.008151

0.195331

0.467242

ArXiv ML Papers

NMF

44

10

[ [ "method", "on", "of", "to", "is", "proposed", "and", "based", "the", "by" ], [ "the", "from", "this", "to", "model", "be", "neural", "can", "an", "networks" ], [ "to", "an", "of", "this", "the", "number...

2.021709

all-MiniLM-L6-v2

0.49

-0.008151

0.195331

0.464778

ArXiv ML Papers

NMF

45

10

[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "the", "from", "this", "to", "model", "be", "neural", "can", "an", "networks" ], [ "to", "an", "of", "this", "the", "number...

2.06287

all-MiniLM-L6-v2

0.49

-0.008151

0.195331

0.469553

ArXiv ML Papers

NMF

46

10

[ [ "the", "and", "of", "proposed", "to", "on", "by", "based", "method", "is" ], [ "to", "the", "be", "this", "neural", "model", "from", "can", "networks", "an" ], [ "to", "an", "of", "this", "the", "number...

1.930904

all-MiniLM-L6-v2

0.49

-0.008151

0.195331

0.47231

ArXiv ML Papers

NMF

43

20

[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...

2.422656

all-MiniLM-L6-v2

0.565

0.013258

0.170953

0.561412

ArXiv ML Papers

NMF

44

20

[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...

2.538431

all-MiniLM-L6-v2

0.565

0.013258

0.170953

0.559352

ArXiv ML Papers

NMF

45

20

[ [ "by", "to", "of", "the", "proposed", "results", "using", "between", "information", "two" ], [ "from", "the", "it", "due", "an", "to", "their", "framework", "this", "approach" ], [ "these", "set", "the", "this",...

2.535384

all-MiniLM-L6-v2

0.565

0.013258

0.170953

0.559035

ArXiv ML Papers

NMF

46

20

[ [ "proposed", "of", "the", "to", "by", "between", "information", "results", "using", "two" ], [ "the", "due", "to", "an", "from", "this", "their", "it", "approach", "framework" ], [ "these", "set", "the", "this",...

2.505962

all-MiniLM-L6-v2

0.565

0.013258

0.170953

0.557773

ArXiv ML Papers

NMF

43

30

[ [ "of", "to", "problem", "results", "the", "between", "proposed", "information", "two", "space" ], [ "due", "the", "their", "to", "use", "have", "human", "it", "end", "search" ], [ "the", "of", "number", "set", ...

3.53165

all-MiniLM-L6-v2

0.566667

0.022401

0.162399

0.62859

ArXiv ML Papers

NMF

44

30

[ [ "to", "proposed", "between", "of", "the", "results", "problem", "two", "information", "space" ], [ "human", "to", "their", "due", "use", "it", "end", "have", "framework", "search" ], [ "these", "set", "and", "t...

3.492299

all-MiniLM-L6-v2

0.566667

0.022383

0.15836

0.63278

ArXiv ML Papers

NMF

45

30

[ [ "two", "of", "problem", "to", "proposed", "results", "between", "the", "information", "using" ], [ "to", "the", "due", "use", "their", "it", "human", "have", "search", "framework" ], [ "large", "art", "set", "t...

3.537155

all-MiniLM-L6-v2

0.543333

0.020288

0.16415

0.626309

ArXiv ML Papers

NMF

46

30

[ [ "proposed", "the", "to", "results", "of", "between", "by", "two", "problem", "information" ], [ "the", "it", "due", "search", "to", "human", "use", "this", "end", "their" ], [ "these", "art", "set", "analysis",...

3.519023

all-MiniLM-L6-v2

0.556667

0.019611

0.163618

0.617932

ArXiv ML Papers

NMF

43

40

[ [ "results", "of", "strategy", "between", "proposed", "information", "the", "test", "was", "error" ], [ "due", "their", "approach", "framework", "use", "to", "compared", "human", "able", "often" ], [ "analysis", "number"...

5.106921

all-MiniLM-L6-v2

0.5825

0.008913

0.149585

0.670219

ArXiv ML Papers

NMF

44

40

[ [ "the", "error", "of", "was", "proposed", "between", "results", "information", "two", "test" ], [ "due", "it", "to", "human", "search", "use", "their", "have", "approach", "able" ], [ "large", "these", "number", ...

5.076314

all-MiniLM-L6-v2

0.56

0.017912

0.157493

0.644569

ArXiv ML Papers

NMF

45

40

[ [ "the", "of", "proposed", "results", "between", "error", "two", "information", "test", "problem" ], [ "use", "their", "to", "due", "it", "search", "framework", "human", "have", "however" ], [ "and", "of", "number", ...

5.337978

all-MiniLM-L6-v2

0.5525

0.016879

0.153486

0.64701

ArXiv ML Papers

NMF

46

40

[ [ "the", "problem", "error", "results", "of", "between", "proposed", "two", "space", "information" ], [ "use", "due", "to", "it", "human", "their", "have", "framework", "search", "approach" ], [ "terms", "analysis", ...

5.098675

all-MiniLM-L6-v2

0.5475

0.01484

0.159135

0.638216

ArXiv ML Papers

NMF

43

50

[ [ "of", "test", "proposed", "error", "the", "was", "between", "results", "strategy", "one" ], [ "to", "due", "use", "human", "able", "approach", "their", "often", "compared", "framework" ], [ "set", "number", "these"...

6.24702

all-MiniLM-L6-v2

0.56

0.007192

0.147988

0.67742

ArXiv ML Papers

NMF

44

50

[ [ "between", "information", "the", "error", "proposed", "results", "was", "of", "strategy", "conditions" ], [ "compared", "due", "to", "use", "able", "their", "approach", "framework", "often", "end" ], [ "of", "and", ...

6.245105

all-MiniLM-L6-v2

0.59

0.007457

0.150291

0.68471

ArXiv ML Papers

NMF

45

50

[ [ "of", "between", "proposed", "results", "error", "the", "was", "strategy", "conditions", "one" ], [ "often", "able", "use", "approach", "to", "their", "compared", "due", "framework", "ability" ], [ "analysis", "terms",...

6.301346

all-MiniLM-L6-v2

0.58

0.009219

0.151183

0.683603

ArXiv ML Papers

NMF

46

50

[ [ "two", "results", "between", "proposed", "error", "the", "of", "information", "test", "was" ], [ "framework", "their", "use", "due", "to", "able", "compared", "approach", "often", "ability" ], [ "set", "analysis", ...

6.587935

all-MiniLM-L6-v2

0.586

0.010488

0.153716

0.689687

ArXiv ML Papers

LDA

43

10

[ [ "of", "to", "the", "in", "and", "we", "is", "for", "learning", "that" ], [ "and", "the", "that", "of", "for", "in", "we", "is", "to", "on" ], [ "image", "generative", "gan", "gans", "and", "the", "g...

10.928315

all-MiniLM-L6-v2

0.26

-0.028659

0.262092

0.52677

ArXiv ML Papers

LDA

44

10

[ [ "of", "the", "series", "and", "time", "to", "in", "we", "for", "models" ], [ "on", "and", "is", "we", "to", "in", "the", "of", "with", "for" ], [ "to", "for", "graph", "in", "of", "we", "that", ...

11.216451

all-MiniLM-L6-v2

0.33

-0.048647

0.253008

0.557253

ArXiv ML Papers

LDA

45

10

[ [ "we", "on", "that", "the", "and", "of", "graph", "to", "in", "is" ], [ "the", "we", "of", "to", "and", "in", "learning", "that", "this", "on" ], [ "on", "for", "to", "of", "and", "in", "the", "w...

19.839619

all-MiniLM-L6-v2

0.38

-0.04485

0.241503

0.567928

ArXiv ML Papers

LDA

46

10

[ [ "to", "in", "and", "of", "the", "we", "is", "neural", "for", "on" ], [ "we", "adversarial", "of", "the", "and", "to", "attacks", "training", "that", "on" ], [ "the", "of", "to", "and", "in", "on", "...

10.933623

all-MiniLM-L6-v2

0.35

-0.055283

0.261051

0.565739

ArXiv ML Papers

LDA

43

20

[ [ "to", "in", "learning", "the", "of", "data", "is", "and", "communication", "model" ], [ "and", "network", "neural", "of", "to", "the", "networks", "we", "in", "that" ], [ "image", "generator", "gans", "likeliho...

12.112303

all-MiniLM-L6-v2

0.315

-0.023955

0.215658

0.56059

ArXiv ML Papers

LDA

44

20

[ [ "to", "series", "time", "of", "and", "the", "in", "video", "we", "for" ], [ "the", "to", "and", "of", "in", "for", "we", "is", "on", "with" ], [ "and", "the", "to", "of", "in", "we", "data", "is...

21.244746

all-MiniLM-L6-v2

0.355

-0.032252

0.226536

0.583911

ArXiv ML Papers

LDA

45

20

[ [ "on", "and", "the", "in", "to", "we", "is", "of", "that", "for" ], [ "the", "to", "of", "we", "and", "in", "learning", "that", "on", "for" ], [ "and", "to", "target", "we", "the", "of", "in", "l...

20.694685

all-MiniLM-L6-v2

0.335

-0.048407

0.212405

0.557579

ArXiv ML Papers

LDA

46

20

[ [ "network", "the", "to", "of", "we", "in", "neural", "networks", "and", "on" ], [ "the", "of", "and", "to", "for", "with", "on", "we", "is", "that" ], [ "on", "of", "and", "the", "with", "in", "to", ...

11.831478

all-MiniLM-L6-v2

0.39

-0.050428

0.208954

0.586658

ArXiv ML Papers

LDA

43

30

[ [ "to", "is", "learning", "the", "and", "of", "in", "transfer", "with", "supervised" ], [ "neural", "network", "the", "of", "networks", "to", "and", "speech", "layer", "this" ], [ "generalization", "as", "functions",...

13.241964

all-MiniLM-L6-v2

0.4

-0.039303

0.200602

0.60234

ArXiv ML Papers

LDA

44

30

[ [ "in", "we", "deep", "design", "to", "the", "and", "of", "models", "translation" ], [ "in", "and", "the", "we", "of", "is", "on", "to", "for", "network" ], [ "to", "of", "and", "in", "graph", "we", "...

13.062546

all-MiniLM-L6-v2

0.416667

-0.046981

0.187724

0.604609

ArXiv ML Papers

LDA

45

30

[ [ "in", "to", "model", "of", "the", "we", "and", "on", "is", "data" ], [ "to", "of", "learning", "that", "we", "the", "and", "policy", "in", "reinforcement" ], [ "in", "domain", "and", "transfer", "to", "...

12.018622

all-MiniLM-L6-v2

0.443333

-0.071942

0.169726

0.634942

ArXiv ML Papers

LDA

46

30

[ [ "the", "and", "to", "of", "in", "neural", "we", "network", "on", "networks" ], [ "is", "for", "the", "in", "and", "we", "our", "to", "of", "with" ], [ "the", "and", "in", "of", "on", "to", "data", ...

12.875089

all-MiniLM-L6-v2

0.336667

-0.098042

0.191397

0.648427

ArXiv ML Papers

LDA

43

40

[ [ "the", "for", "is", "in", "of", "distributed", "and", "to", "communication", "flow" ], [ "to", "the", "speech", "of", "signals", "and", "text", "in", "we", "word" ], [ "loss", "open", "source", "goals", "an...

12.933721

all-MiniLM-L6-v2

0.3475

-0.043755

0.195528

0.61362

ArXiv ML Papers

LDA

44

40

[ [ "of", "to", "the", "we", "manifold", "in", "for", "neural", "on", "and" ], [ "the", "and", "to", "with", "neural", "in", "of", "on", "we", "for" ], [ "data", "we", "on", "of", "the", "that", "and", ...

13.056187

all-MiniLM-L6-v2

0.3425

-0.037738

0.207822

0.592155

ArXiv ML Papers

LDA

45

40

[ [ "rank", "the", "and", "matrix", "of", "tensor", "we", "is", "for", "in" ], [ "with", "of", "learning", "in", "we", "rl", "to", "the", "that", "and" ], [ "domain", "the", "of", "and", "to", "target", ...

13.227212

all-MiniLM-L6-v2

0.4

-0.058412

0.186957

0.626419

ArXiv ML Papers

LDA

46

40

[ [ "in", "the", "networks", "network", "of", "neural", "we", "and", "to", "that" ], [ "fairness", "that", "in", "and", "to", "is", "we", "the", "for", "of" ], [ "the", "in", "on", "we", "and", "of", "t...

13.765348

all-MiniLM-L6-v2

0.3825

-0.072976

0.192218

0.644522

ArXiv ML Papers

LDA

43

50

[ [ "is", "of", "for", "distributed", "the", "communication", "to", "and", "data", "as" ], [ "cifar", "transformation", "the", "10", "transformations", "relu", "activation", "neurons", "100", "of" ], [ "exploration", "band...

23.874444

all-MiniLM-L6-v2

0.364

-0.051004

0.189744

0.61902

ArXiv ML Papers

LDA

44

50

[ [ "image", "generative", "gan", "the", "to", "of", "generator", "images", "gans", "and" ], [ "of", "and", "in", "the", "to", "we", "for", "domain", "model", "on" ], [ "of", "in", "to", "and", "that", "the...

14.476796

all-MiniLM-L6-v2

0.356

-0.035463

0.186418

0.596312

ArXiv ML Papers

LDA

45

50

[ [ "and", "of", "the", "matrix", "is", "we", "that", "for", "in", "on" ], [ "the", "to", "learning", "in", "and", "policy", "we", "reinforcement", "that", "of" ], [ "classification", "in", "the", "is", "learni...

14.255966

all-MiniLM-L6-v2

0.39

-0.061498

0.18372

0.637337

ArXiv ML Papers

LDA

46

50

[ [ "the", "of", "to", "in", "and", "on", "is", "we", "network", "model" ], [ "and", "the", "of", "we", "is", "in", "to", "for", "with", "that" ], [ "the", "and", "in", "to", "tensor", "traffic", "of", ...

14.030783

all-MiniLM-L6-v2

0.33

-0.072721

0.191163

0.638094

ArXiv ML Papers

Top2Vec

43

10

[ [ "cnns", "cnn", "adversary", "classifiers", "supervised", "adversarial", "adversarially", "softmax", "classifier", "imagenet" ], [ "learnt", "learns", "ai", "bandit", "bandits", "learnable", "reinforcement", "learning", "planning", ...

656.29102

all-MiniLM-L6-v2

0.54

-0.278403

0.14962

0.846283

ArXiv ML Papers

Top2Vec

44

10

[ [ "supervised", "adversarial", "adversarially", "classifiers", "classifier", "softmax", "classification", "classifying", "adversary", "cnns" ], [ "ai", "reinforcement", "bandit", "planning", "learning", "learns", "learnt", "bandits", "l...

673.252285

all-MiniLM-L6-v2

0.56

-0.26459

0.160135

0.845661

ArXiv ML Papers

Top2Vec

45

10

[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "adversarial", "softmax", "adversarially", "classifier", "classifiers", "supervised", "adversary", "cnns", "classifica...

584.320705

all-MiniLM-L6-v2

0.56

-0.273268

0.174848

0.846271

ArXiv ML Papers

Top2Vec

46

10

[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversary", "softmax", "adversarial", "adversarially", "classifiers", "cnns", "supervised", "cnn", "classifier", ...

634.524863

all-MiniLM-L6-v2

0.53

-0.269991

0.153078

0.853081

ArXiv ML Papers

Top2Vec

43

20

[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...

608.984458

all-MiniLM-L6-v2

0.45

-0.266672

0.173274

0.85077

ArXiv ML Papers

Top2Vec

44

20

[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...

535.264348

all-MiniLM-L6-v2

0.47

-0.253657

0.174505

0.844253

ArXiv ML Papers

Top2Vec

45

20

[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...

588.672674

all-MiniLM-L6-v2

0.455

-0.250703

0.178586

0.840558

ArXiv ML Papers

Top2Vec

46

20

[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...

631.574545

all-MiniLM-L6-v2

0.45

-0.259184

0.173666

0.84807

ArXiv ML Papers

Top2Vec

43

30

[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...

577.164902

all-MiniLM-L6-v2

0.452381

-0.264192

0.17378

0.84458

ArXiv ML Papers

Top2Vec

44

30

[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...

601.105897

all-MiniLM-L6-v2

0.480952

-0.2564

0.172465

0.844825

ArXiv ML Papers

Top2Vec

45

30

[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...

597.81598

all-MiniLM-L6-v2

0.442857

-0.252986

0.175005

0.843511

ArXiv ML Papers

Top2Vec

46

30

[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...

498.065006

all-MiniLM-L6-v2

0.452381

-0.262968

0.171184

0.850088

ArXiv ML Papers

Top2Vec

43

40

[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...

640.464483

all-MiniLM-L6-v2

0.452381

-0.264192

0.17378

0.845774

ArXiv ML Papers

Top2Vec

44

40

[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...

569.045129

all-MiniLM-L6-v2

0.480952

-0.2564

0.172465

0.846093

ArXiv ML Papers

Top2Vec

45

40

[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...

569.015667

all-MiniLM-L6-v2

0.442857

-0.252986

0.175005

0.842255

ArXiv ML Papers

Top2Vec

46

40

[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...

584.353214

all-MiniLM-L6-v2

0.452381

-0.262968

0.171184

0.844559

ArXiv ML Papers

Top2Vec

43

50

[ [ "adversarially", "classifiers", "discrimination", "bias", "biases", "fairness", "supervised", "adversarial", "discriminate", "classifier" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "superv...

498.800022

all-MiniLM-L6-v2

0.452381

-0.264192

0.17378

0.850448

ArXiv ML Papers

Top2Vec

44

50

[ [ "distributed", "softmax", "federated", "learnt", "learns", "learning", "supervised", "adversarially", "rnns", "rnn" ], [ "classifiers", "adversary", "cnns", "cnn", "attacks", "adversarial", "adversarially", "softmax", "exploiting", ...

530.921954

all-MiniLM-L6-v2

0.480952

-0.2564

0.172465

0.845788

ArXiv ML Papers

Top2Vec

45

50

[ [ "learning", "learns", "learnt", "reinforcement", "bandit", "bandits", "ai", "planning", "learnable", "softmax" ], [ "softmax", "distributed", "learns", "federated", "adversarially", "learnt", "learning", "supervised", "rnns", "rnn...

651.461712

all-MiniLM-L6-v2

0.442857

-0.252986

0.175005

0.843242

ArXiv ML Papers

Top2Vec

46

50

[ [ "learning", "ai", "planning", "reinforcement", "bandit", "learnt", "learns", "bandits", "learnable", "softmax" ], [ "adversarially", "distributed", "softmax", "federated", "learning", "learns", "learnt", "supervised", "rnns", "rnn...

640.067949

all-MiniLM-L6-v2

0.452381

-0.262968

0.171184

0.850129

ArXiv ML Papers

GMM

43

10

[ [ "kernel", "clustering", "matrix", "rank", "series", "time", "regression", "proposed", "tensor", "algorithm" ], [ "gnns", "link", "node", "embedding", "graphs", "graph", "nodes", "structure", "networks", "social" ], [ "rewa...

2.576472

all-MiniLM-L6-v2

0.94

0.053246

0.1459

0.813589

ArXiv ML Papers

GMM

44

10

[ [ "speech", "recognition", "speaker", "acoustic", "asr", "audio", "music", "signal", "end", "quality" ], [ "posterior", "variational", "inference", "estimation", "bayesian", "distribution", "latent", "gaussian", "series", "processes...

2.836519

all-MiniLM-L6-v2

0.98

0.06128

0.149774

0.825734

ArXiv ML Papers

GMM

45

10

[ [ "detection", "segmentation", "visual", "gan", "image", "images", "object", "convolutional", "supervised", "medical" ], [ "examples", "against", "adversarial", "defense", "perturbations", "attack", "attacks", "privacy", "robust", "...

2.766196

all-MiniLM-L6-v2

0.97

0.024243

0.165378

0.838997

ArXiv ML Papers

GMM

46

10

[ [ "convex", "matrix", "algorithm", "convergence", "algorithms", "linear", "kernel", "problems", "rank", "optimization" ], [ "nodes", "graph", "link", "node", "embedding", "gnns", "graphs", "networks", "structure", "embeddings" ], ...

2.882266

all-MiniLM-L6-v2

0.98

0.054135

0.155939

0.826401

ArXiv ML Papers

GMM

43

20

[ [ "algorithm", "rank", "tensor", "matrix", "low", "kernel", "clustering", "sparse", "linear", "subspace" ], [ "graph", "link", "embedding", "node", "gnns", "nodes", "graphs", "structure", "embeddings", "representation" ], [ ...

4.033339

all-MiniLM-L6-v2

0.9

0.016575

0.153815

0.857305