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 listlengths 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	CombinedTM	44	10	[ [ "convex", "convergence", "stochastic", "we", "linear", "algorithm", "gradient", "optimal", "policy", "regret" ], [ "neural", "energy", "inference", "scaling", "hardware", "long", "efficiency", "architectures", "series", "networks"...	1,054.658609	all-MiniLM-L6-v2	0.81	-0.093448	0.151801	0.669445
ArXiv ML Papers	CombinedTM	45	10	[ [ "system", "in", "for", "of", "the", "was", "and", "detection", "were", "are" ], [ "series", "channels", "forecasting", "net", "change", "accurate", "frequencies", "xgboost", "baseline", "publicly" ], [ "we", "algorithm...	996.905842	all-MiniLM-L6-v2	0.81	-0.072244	0.138617	0.678641
ArXiv ML Papers	CombinedTM	46	10	[ [ "membership", "initial", "exact", "clustering", "stability", "transmission", "nearest", "core", "varepsilon", "analyzed" ], [ "optimization", "stochastic", "linear", "convergence", "algorithm", "bounds", "bound", "function", "gradient...	1,063.191335	all-MiniLM-L6-v2	0.87	-0.107943	0.142169	0.710778
ArXiv ML Papers	CombinedTM	43	20	[ [ "embeddings", "representation", "graph", "graphs", "contrastive", "nodes", "gnns", "node", "embedding", "representations" ], [ "bound", "bandit", "bandits", "case", "arm", "sample", "delta", "unknown", "combinatorial", "estimator"...	1,193.747479	all-MiniLM-L6-v2	0.85	-0.048328	0.146138	0.742329
ArXiv ML Papers	CombinedTM	44	20	[ [ "boosting", "sensing", "head", "resolution", "weather", "decades", "participants", "sign", "super", "curve" ], [ "actions", "tasks", "goal", "reinforcement", "human", "environment", "rl", "learning", "robot", "reward" ], [ ...	1,197.092792	all-MiniLM-L6-v2	0.8	-0.04121	0.147587	0.711697
ArXiv ML Papers	CombinedTM	45	20	[ [ "data", "in", "algorithms", "are", "is", "the", "for", "of", "matrix", "clustering" ], [ "inference", "kernel", "uncertainty", "rank", "likelihood", "series", "posterior", "approximation", "tensor", "bayesian" ], [ "and", ...	1,241.306952	all-MiniLM-L6-v2	0.83	-0.04595	0.132401	0.740325
ArXiv ML Papers	CombinedTM	46	20	[ [ "gaussian", "equation", "bandits", "estimates", "markov", "frac", "adaptive", "lower", "continuous", "varepsilon" ], [ "representations", "graph", "from", "domain", "labeled", "datasets", "contrastive", "feature", "supervised", "t...	1,205.251652	all-MiniLM-L6-v2	0.815	-0.067902	0.122064	0.728138
ArXiv ML Papers	CombinedTM	43	30	[ [ "models", "that", "user", "model", "are", "attack", "attacks", "privacy", "as", "to" ], [ "feature", "net", "segmentation", "video", "cnn", "temporal", "spatial", "diffusion", "proposed", "uses" ], [ "in", "of", "t...	1,134.648329	all-MiniLM-L6-v2	0.766667	-0.072291	0.135358	0.743058
ArXiv ML Papers	CombinedTM	44	30	[ [ "control", "theory", "dynamics", "imitation", "free", "policy", "reinforcement", "controller", "policies", "quantum" ], [ "resolution", "convolutional", "layer", "medical", "hardware", "overall", "super", "residual", "hidden", "ac...	1,126.578353	all-MiniLM-L6-v2	0.763333	-0.053987	0.124083	0.72492
ArXiv ML Papers	CombinedTM	45	30	[ [ "agent", "agents", "learning", "is", "communication", "action", "rl", "reward", "reinforcement", "the" ], [ "regression", "groups", "kernels", "mixed", "neighbor", "compositional", "expression", "trade", "combination", "associated...	1,275.798602	all-MiniLM-L6-v2	0.773333	-0.05319	0.126317	0.738159
ArXiv ML Papers	CombinedTM	46	30	[ [ "weather", "temperature", "net", "convolutional", "resolution", "architectures", "was", "video", "architecture", "fusion" ], [ "tasks", "visual", "language", "word", "representations", "languages", "task", "differences", "words", ...	1,145.643708	all-MiniLM-L6-v2	0.79	-0.048533	0.126579	0.744957
ArXiv ML Papers	CombinedTM	43	40	[ [ "interactions", "feature", "3d", "on", "based", "video", "side", "sparse", "attention", "propose" ], [ "tensor", "approximations", "approximation", "low", "observations", "regression", "rank", "gaussian", "estimator", "kernel" ]...	1,160.406196	all-MiniLM-L6-v2	0.7575	-0.075834	0.131865	0.759935
ArXiv ML Papers	CombinedTM	44	40	[ [ "of", "and", "the", "as", "reports", "patients", "eye", "in", "by", "set" ], [ "bit", "neural", "activation", "pooling", "with", "networks", "energy", "cnns", "convolution", "training" ], [ "xgboost", "biased", "ki...	1,211.411275	all-MiniLM-L6-v2	0.7975	-0.056014	0.125304	0.766979
ArXiv ML Papers	CombinedTM	45	40	[ [ "regret", "bandits", "demand", "bandit", "reward", "problem", "combinatorial", "bounds", "setting", "subject" ], [ "channel", "gans", "pooling", "as", "have", "networks", "to", "gan", "be", "generative" ], [ "models", ...	1,192.502085	all-MiniLM-L6-v2	0.79	-0.074623	0.125084	0.778185
ArXiv ML Papers	CombinedTM	46	40	[ [ "neural", "networks", "sparse", "we", "network", "filters", "that", "learned", "pruning", "can" ], [ "dnn", "forecasting", "signals", "performed", "precision", "regularization", "wireless", "execution", "layer", "challenge" ], ...	1,202.865748	all-MiniLM-L6-v2	0.8	-0.058479	0.123563	0.762506
ArXiv ML Papers	CombinedTM	43	50	[ [ "node", "nodes", "graph", "graphs", "embeddings", "ranking", "view", "contrastive", "structure", "attribute" ], [ "semi", "data", "supervised", "deep", "unlabeled", "labeled", "domain", "learning", "self", "datasets" ], [ ...	1,270.031078	all-MiniLM-L6-v2	0.77	-0.093623	0.114436	0.77835
ArXiv ML Papers	CombinedTM	44	50	[ [ "which", "model", "the", "dataset", "generator", "image", "on", "segmentation", "whole", "separation" ], [ "deep", "in", "it", "and", "compute", "learning", "has", "ensemble", "memory", "feature" ], [ "interaction", "i...	1,241.735884	all-MiniLM-L6-v2	0.782	-0.068213	0.123115	0.773315
ArXiv ML Papers	CombinedTM	45	50	[ [ "profile", "focuses", "moving", "publicly", "profiles", "kinds", "score", "building", "forecasts", "usage" ], [ "been", "current", "explanations", "clinical", "mri", "explanation", "explainable", "decoder", "have", "has" ], [ ...	1,262.079415	all-MiniLM-L6-v2	0.776	-0.088516	0.121718	0.779442
ArXiv ML Papers	CombinedTM	46	50	[ [ "research", "development", "engineering", "clinical", "challenges", "software", "recommendation", "researchers", "health", "these" ], [ "hardware", "memory", "bit", "accuracy", "time", "neural", "scaling", "computational", "power", ...	1,136.607853	all-MiniLM-L6-v2	0.808	-0.089542	0.122159	0.799054
ArXiv ML Papers	ZeroShotTM	43	10	[ [ "for", "detection", "the", "of", "in", "and", "to", "was", "are", "time" ], [ "is", "to", "data", "and", "in", "the", "neural", "of", "as", "image" ], [ "attacks", "adversarial", "attack", "training", "mode...	837.810843	all-MiniLM-L6-v2	0.88	-0.072702	0.152875	0.736941
ArXiv ML Papers	ZeroShotTM	44	10	[ [ "we", "where", "policies", "that", "rl", "reinforcement", "agent", "policy", "agents", "algorithm" ], [ "network", "to", "neural", "segmentation", "networks", "images", "with", "performance", "image", "and" ], [ "anomaly",...	1,073.741708	all-MiniLM-L6-v2	0.91	-0.046654	0.148369	0.757752
ArXiv ML Papers	ZeroShotTM	45	10	[ [ "policy", "algorithm", "we", "gradient", "convergence", "optimal", "bound", "algorithms", "bandit", "our" ], [ "feature", "graphs", "graph", "node", "learning", "nodes", "embedding", "user", "framework", "data" ], [ "neura...	857.142377	all-MiniLM-L6-v2	0.85	-0.07376	0.140517	0.710748
ArXiv ML Papers	ZeroShotTM	46	10	[ [ "bounds", "convex", "algorithm", "prove", "linear", "optimization", "convergence", "stochastic", "gradient", "descent" ], [ "the", "to", "in", "is", "algorithms", "of", "we", "learning", "that", "agent" ], [ "speech", ...	1,055.409697	all-MiniLM-L6-v2	0.86	-0.054286	0.142779	0.757024
ArXiv ML Papers	ZeroShotTM	43	20	[ [ "rl", "learning", "robot", "control", "reinforcement", "actions", "policy", "tasks", "environments", "human" ], [ "federated", "learning", "the", "server", "quantum", "is", "to", "devices", "an", "updates" ], [ "gnns", ...	1,090.633944	all-MiniLM-L6-v2	0.85	-0.039269	0.134656	0.761513
ArXiv ML Papers	ZeroShotTM	44	20	[ [ "of", "that", "ml", "questions", "research", "to", "in", "models", "are", "fairness" ], [ "gan", "that", "generative", "data", "latent", "model", "to", "in", "from", "distribution" ], [ "deep", "image", "images", ...	1,012.478548	all-MiniLM-L6-v2	0.805	-0.037419	0.136133	0.746527
ArXiv ML Papers	ZeroShotTM	45	20	[ [ "policy", "agent", "reinforcement", "environment", "actions", "learning", "robot", "rl", "control", "reward" ], [ "bandit", "for", "we", "algorithm", "regret", "epsilon", "optimization", "convergence", "which", "optimal" ], [ ...	1,028.527274	all-MiniLM-L6-v2	0.82	-0.052973	0.134271	0.74595
ArXiv ML Papers	ZeroShotTM	46	20	[ [ "stochastic", "optimization", "descent", "order", "convex", "gradient", "convergence", "linear", "problems", "points" ], [ "algorithm", "that", "optimal", "bound", "bandits", "bandit", "regret", "we", "online", "reward" ], [ ...	1,002.356594	all-MiniLM-L6-v2	0.825	-0.034569	0.117749	0.750488
ArXiv ML Papers	ZeroShotTM	43	30	[ [ "research", "this", "in", "human", "and", "researchers", "ai", "can", "software", "of" ], [ "data", "metric", "are", "classification", "synthetic", "images", "dataset", "for", "to", "ensemble" ], [ "image", "segmentati...	1,141.844126	all-MiniLM-L6-v2	0.746667	-0.044985	0.12864	0.747085
ArXiv ML Papers	ZeroShotTM	44	30	[ [ "stochastic", "bandits", "policy", "regret", "action", "bandit", "games", "reward", "markov", "convergence" ], [ "language", "word", "generation", "translation", "text", "semantic", "nlp", "words", "visual", "style" ], [ "...	1,051.120682	all-MiniLM-L6-v2	0.776667	-0.02817	0.130445	0.768253
ArXiv ML Papers	ZeroShotTM	45	30	[ [ "attacks", "robustness", "examples", "attack", "adversarial", "training", "robust", "box", "perturbations", "against" ], [ "method", "selection", "the", "feature", "missing", "of", "data", "methods", "is", "kernel" ], [ "i...	1,156.536222	all-MiniLM-L6-v2	0.786667	-0.048736	0.135058	0.759984
ArXiv ML Papers	ZeroShotTM	46	30	[ [ "is", "of", "gan", "to", "the", "we", "in", "step", "images", "transformation" ], [ "for", "quantum", "in", "learning", "noise", "the", "and", "of", "is", "data" ], [ "optimization", "bandit", "gradient", "stoc...	1,155.78876	all-MiniLM-L6-v2	0.773333	-0.055739	0.130825	0.760351
ArXiv ML Papers	ZeroShotTM	43	40	[ [ "embedding", "datasets", "deep", "on", "end", "transfer", "source", "scale", "search", "propose" ], [ "vision", "convolutional", "transformers", "cnn", "end", "deep", "performance", "transformer", "convolution", "attention" ], ...	1,199.097349	all-MiniLM-L6-v2	0.7375	-0.062373	0.129414	0.766295
ArXiv ML Papers	ZeroShotTM	44	40	[ [ "capture", "representation", "visual", "sequence", "attention", "target", "graphs", "representations", "context", "video" ], [ "node", "graphs", "feature", "gnns", "graph", "embedding", "nodes", "interactions", "protein", "side" ...	1,407.553352	all-MiniLM-L6-v2	0.7075	-0.051788	0.132117	0.761656
ArXiv ML Papers	ZeroShotTM	45	40	[ [ "reconstruction", "method", "image", "generative", "gan", "images", "segmentation", "3d", "imaging", "training" ], [ "segmentation", "map", "medical", "net", "region", "cnn", "active", "was", "device", "dnn" ], [ "agent", ...	1,162.944222	all-MiniLM-L6-v2	0.74	-0.065519	0.129832	0.752588
ArXiv ML Papers	ZeroShotTM	46	40	[ [ "3d", "the", "transform", "as", "segmentation", "to", "by", "is", "images", "data" ], [ "software", "clinical", "techniques", "media", "documents", "papers", "engineering", "patterns", "disease", "explainable" ], [ "segmen...	951.813567	all-MiniLM-L6-v2	0.765	-0.063279	0.136257	0.765867
ArXiv ML Papers	ZeroShotTM	43	50	[ [ "variational", "approximate", "posterior", "chain", "sampling", "discrete", "mcmc", "bayesian", "carlo", "monte" ], [ "matrix", "algorithm", "rank", "that", "we", "low", "our", "completion", "recover", "noisy" ], [ "cnn", ...	978.73439	all-MiniLM-L6-v2	0.734	-0.061772	0.131684	0.780063
ArXiv ML Papers	ZeroShotTM	44	50	[ [ "classification", "feature", "method", "clustering", "data", "methods", "kernel", "proposed", "dimensionality", "neighbor" ], [ "surface", "bayesian", "partition", "density", "outlier", "nonparametric", "negative", "mean", "indeed", ...	1,174.040942	all-MiniLM-L6-v2	0.698	-0.066644	0.130783	0.775953
ArXiv ML Papers	ZeroShotTM	45	50	[ [ "of", "queries", "the", "is", "for", "generalization", "hypothesis", "we", "divergence", "wise" ], [ "risk", "defense", "privacy", "attack", "machine", "attacks", "models", "model", "adversarial", "these" ], [ "delta", ...	1,066.117967	all-MiniLM-L6-v2	0.706	-0.065101	0.127012	0.783174
ArXiv ML Papers	ZeroShotTM	46	50	[ [ "networks", "neural", "training", "activation", "depth", "adversarial", "network", "relu", "layer", "width" ], [ "enhancement", "performance", "channel", "speech", "cnn", "end", "separation", "voice", "asr", "on" ], [ "an"...	1,220.778715	all-MiniLM-L6-v2	0.708	-0.066256	0.129866	0.77281
ArXiv ML Papers	ECRTM	43	10	[ [ "attack", "perturbation", "perturbations", "adversarial", "defense", "against", "gan", "attacks", "robustness", "attacker" ], [ "convolution", "rnn", "layer", "decoder", "layers", "transformer", "speech", "pruning", "convolutional", ...	4,127.300286	all-MiniLM-L6-v2	1	-0.063325	0.131136	0.902187
ArXiv ML Papers	ECRTM	44	10	[ [ "adversarial", "perturbations", "attacks", "defense", "gan", "perturbation", "relu", "gans", "robustness", "pooling" ], [ "bandit", "sqrt", "epsilon", "regret", "bounds", "convex", "delta", "bound", "log", "varepsilon" ], [ ...	4,688.849451	all-MiniLM-L6-v2	0.98	-0.099419	0.139801	0.918459
ArXiv ML Papers	ECRTM	45	10	[ [ "media", "games", "library", "pipelines", "gpu", "implementations", "tensor", "sum", "solving", "solvers" ], [ "decoder", "encoder", "speech", "language", "transformer", "audio", "languages", "word", "text", "speaker" ], [ ...	4,159.961052	all-MiniLM-L6-v2	0.99	-0.074917	0.139443	0.911483
ArXiv ML Papers	ECRTM	46	10	[ [ "monte", "distributions", "variables", "posterior", "variational", "carlo", "density", "bayesian", "likelihood", "uncertainty" ], [ "subspace", "norm", "subspaces", "kernels", "relu", "equations", "convex", "approximation", "dimension...	4,646.624485	all-MiniLM-L6-v2	0.98	-0.13126	0.150766	0.923685
ArXiv ML Papers	ECRTM	43	20	[ [ "gan", "adversarial", "generator", "gans", "contrastive", "perturbations", "images", "augmentation", "image", "camera" ], [ "3d", "net", "enhancement", "demand", "videos", "video", "resolution", "speech", "module", "spatial" ], ...	21,789.126004	all-MiniLM-L6-v2	0.945	-0.132215	0.141669	0.925237
ArXiv ML Papers	ECRTM	44	20	[ [ "ml", "questions", "research", "researchers", "subjects", "compliance", "social", "health", "human", "treatment" ], [ "reward", "agent", "action", "robot", "policy", "policies", "reinforcement", "rl", "actions", "planning" ], ...	21,816.13647	all-MiniLM-L6-v2	0.95	-0.110595	0.144156	0.920937
ArXiv ML Papers	ECRTM	45	20	[ [ "channels", "explanations", "coding", "channel", "explanation", "quantum", "calibration", "concepts", "eeg", "transmission" ], [ "ml", "social", "fairness", "subjects", "questions", "researchers", "research", "health", "human", "i...	21,868.923991	all-MiniLM-L6-v2	0.94	-0.12843	0.152332	0.9172
ArXiv ML Papers	ECRTM	46	20	[ [ "clustering", "subspace", "subspaces", "mathbb", "clusters", "kernel", "laplacian", "recovery", "semi", "regression" ], [ "labeled", "cell", "unlabeled", "contrastive", "segmentation", "supervised", "supervision", "images", "annotatio...	22,149.969739	all-MiniLM-L6-v2	0.96	-0.140105	0.140342	0.907562
ArXiv ML Papers	ECRTM	43	30	[ [ "attack", "attacks", "defense", "perturbations", "vulnerable", "adversarial", "attacker", "perturbation", "vulnerability", "poisoning" ], [ "series", "anomaly", "signals", "speech", "delay", "music", "audio", "temporal", "event", ...	21,010.94308	all-MiniLM-L6-v2	0.893333	-0.177103	0.133445	0.924199
ArXiv ML Papers	ECRTM	44	30	[ [ "shift", "biases", "unbiased", "camera", "bias", "grained", "million", "scaling", "strategies", "changes" ], [ "completion", "series", "rank", "matrix", "tensor", "nonnegative", "subspace", "clustering", "anomaly", "alternating" ...	121.898181	all-MiniLM-L6-v2	0.9	-0.157026	0.134444	0.917003
ArXiv ML Papers	ECRTM	45	30	[ [ "pruning", "quantization", "memory", "hardware", "pruned", "scaling", "nas", "convolution", "initialization", "compact" ], [ "differential", "physics", "control", "equations", "shape", "controller", "quantum", "informed", "dynamical",...	121.165248	all-MiniLM-L6-v2	0.933333	-0.133228	0.134941	0.918399
ArXiv ML Papers	ECRTM	46	30	[ [ "activation", "kernels", "mixed", "infinite", "probabilistic", "asymptotic", "base", "compositional", "media", "programming" ], [ "gnns", "graphs", "link", "node", "nodes", "graph", "embeddings", "vertex", "embedding", "neighborho...	117.883204	all-MiniLM-L6-v2	0.906667	-0.159988	0.135218	0.91787
ArXiv ML Papers	ECRTM	43	40	[ [ "compliance", "quantum", "subjects", "human", "individuals", "ml", "researchers", "questions", "interventions", "social" ], [ "recovery", "converges", "provably", "games", "sum", "varepsilon", "solvers", "correlated", "game", "met...	95.518122	all-MiniLM-L6-v2	0.93	-0.199357	0.12476	0.924882
ArXiv ML Papers	ECRTM	44	40	[ [ "convex", "proximal", "minimax", "convergence", "stochastic", "epsilon", "descent", "min", "accelerated", "sgd" ], [ "described", "algorithms", "place", "000", "objective", "converges", "behavioral", "15", "max", "observable" ],...	139.658376	all-MiniLM-L6-v2	0.885	-0.201981	0.127813	0.915715
ArXiv ML Papers	ECRTM	45	40	[ [ "varepsilon", "frac", "kernels", "kernel", "omega", "hilbert", "delta", "laplacian", "recovery", "converges" ], [ "graph", "nodes", "graphs", "link", "node", "embeddings", "neighborhood", "embedding", "vertex", "gnns" ], [ ...	129.142575	all-MiniLM-L6-v2	0.96	-0.192391	0.13562	0.923463
ArXiv ML Papers	ECRTM	46	40	[ [ "varepsilon", "sqrt", "regret", "bandit", "epsilon", "tilde", "bandits", "frac", "delta", "armed" ], [ "autoregressive", "landscape", "queries", "likelihood", "variance", "overfitting", "estimator", "et", "al", "developers" ], ...	139.110896	all-MiniLM-L6-v2	0.9625	-0.212002	0.130715	0.927364
ArXiv ML Papers	ECRTM	43	50	[ [ "imaging", "check", "unclear", "minimizing", "spatially", "surface", "simplified", "whilst", "cross", "tend" ], [ "software", "ml", "industry", "working", "health", "compliance", "researchers", "subjects", "practices", "workflow" ...	106.329468	all-MiniLM-L6-v2	0.956	-0.246896	0.119947	0.927086
ArXiv ML Papers	ECRTM	44	50	[ [ "decisions", "protein", "help", "universal", "explain", "encoding", "activity", "predict", "behavior", "genetic" ], [ "aspect", "characteristics", "notions", "concept", "twitter", "interaction", "metrics", "bleu", "automatically", ...	94.302951	all-MiniLM-L6-v2	0.936	-0.235821	0.129265	0.925652
ArXiv ML Papers	ECRTM	45	50	[ [ "agent", "rl", "robot", "policy", "reward", "robotic", "policies", "actions", "reinforcement", "imitation" ], [ "video", "segmentation", "frame", "track", "audio", "videos", "segment", "imaging", "18", "resonance" ], [ "fl...	91.016291	all-MiniLM-L6-v2	0.97	-0.263356	0.120231	0.926986
ArXiv ML Papers	ECRTM	46	50	[ [ "preliminary", "quantum", "equations", "dynamical", "recommendation", "sensing", "differential", "hyperparameters", "systems", "stability" ], [ "ascent", "momentum", "pac", "convergence", "proximal", "descent", "sgd", "accelerated", "...	94.262968	all-MiniLM-L6-v2	0.964	-0.23199	0.128409	0.928781
BBC News	BERTopic	43	10	[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	878.928533	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.603049
BBC News	BERTopic	44	10	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	902.157574	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.610833
BBC News	BERTopic	45	10	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...	881.797756	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.601131
BBC News	BERTopic	46	10	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	836.7507	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.607718
BBC News	BERTopic	43	20	[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	885.883228	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.612158
BBC News	BERTopic	44	20	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	856.648137	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.60994
BBC News	BERTopic	45	20	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...	891.810742	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.604801
BBC News	BERTopic	46	20	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	870.464814	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.607233
BBC News	BERTopic	43	30	[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	837.507406	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.610622
BBC News	BERTopic	44	30	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	629.620124	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.611601
BBC News	BERTopic	45	30	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...	783.705856	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.599727
BBC News	BERTopic	46	30	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	743.55428	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.605389
BBC News	BERTopic	43	40	[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	826.509843	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.609603
BBC News	BERTopic	44	40	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	769.670217	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.605696
BBC News	BERTopic	45	40	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...	816.676008	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.603034
BBC News	BERTopic	46	40	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	793.18764	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.612705
BBC News	BERTopic	43	50	[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	887.912302	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.607666
BBC News	BERTopic	44	50	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	953.922494	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.602802
BBC News	BERTopic	45	50	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...	795.812462	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.607512
BBC News	BERTopic	46	50	[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...	831.127964	all-MiniLM-L6-v2	0.5	-0.010048	0.256275	0.611343
BBC News	NMF	43	10	[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...	1.788574	all-MiniLM-L6-v2	0.49	-0.001058	0.269654	0.570532
BBC News	NMF	44	10	[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...	2.07404	all-MiniLM-L6-v2	0.49	-0.001058	0.269654	0.565647
BBC News	NMF	45	10	[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "not", "we", "to", "that", "and", "is", "with", "have", "of", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...	1.986854	all-MiniLM-L6-v2	0.49	-0.001058	0.269654	0.56901
BBC News	NMF	46	10	[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...	2.463064	all-MiniLM-L6-v2	0.49	-0.001058	0.269654	0.567671
BBC News	NMF	43	20	[ [ "as", "has", "which", "of", "to", "the", "by", "this", "at", "first" ], [ "have", "to", "not", "is", "we", "with", "and", "in", "of", "that" ], [ "up", "to", "with", "of", "the", "by", "out", "o...	2.887159	all-MiniLM-L6-v2	0.445	0.000025	0.2376	0.583025
BBC News	NMF	44	20	[ [ "which", "as", "by", "of", "the", "to", "has", "first", "this", "at" ], [ "that", "with", "have", "of", "we", "in", "and", "not", "to", "is" ], [ "to", "by", "of", "the", "up", "with", "take", "...	2.894762	all-MiniLM-L6-v2	0.45	-0.000566	0.239007	0.584071
BBC News	NMF	45	20	[ [ "the", "of", "to", "which", "this", "as", "by", "has", "at", "first" ], [ "of", "not", "and", "we", "is", "have", "that", "with", "in", "to" ], [ "to", "of", "the", "by", "up", "over", "out", "f...	2.937413	all-MiniLM-L6-v2	0.445	0.003874	0.244736	0.579699
BBC News	NMF	46	20	[ [ "which", "to", "this", "as", "first", "has", "of", "by", "the", "at" ], [ "we", "with", "to", "is", "of", "that", "and", "in", "have", "not" ], [ "to", "the", "by", "of", "with", "up", "out", "t...	2.936663	all-MiniLM-L6-v2	0.44	0.002334	0.239386	0.583331
BBC News	NMF	43	30	[ [ "time", "first", "only", "made", "the", "of", "to", "by", "most", "past" ], [ "and", "to", "of", "that", "is", "in", "we", "with", "not", "be" ], [ "this", "up", "take", "to", "out", "the", "of", ...	4.200741	all-MiniLM-L6-v2	0.45	0.013064	0.241346	0.633494
BBC News	NMF	44	30	[ [ "the", "of", "as", "to", "by", "time", "most", "only", "made", "first" ], [ "in", "to", "of", "is", "that", "and", "we", "with", "not", "be" ], [ "work", "the", "this", "an", "take", "of", "to", ...	4.031053	all-MiniLM-L6-v2	0.45	0.012691	0.230508	0.611437
BBC News	NMF	45	30	[ [ "to", "as", "of", "most", "by", "time", "with", "the", "only", "made" ], [ "to", "in", "is", "not", "of", "and", "with", "that", "we", "be" ], [ "this", "to", "of", "the", "take", "up", "out", "...	4.173429	all-MiniLM-L6-v2	0.453333	0.013133	0.23752	0.617082
BBC News	NMF	46	30	[ [ "first", "by", "as", "also", "to", "most", "the", "only", "time", "of" ], [ "of", "that", "is", "in", "with", "and", "not", "we", "to", "have" ], [ "up", "this", "the", "to", "take", "out", "of", ...	4.004504	all-MiniLM-L6-v2	0.45	0.014527	0.238503	0.61101
BBC News	NMF	43	40	[ [ "the", "of", "only", "most", "first", "to", "by", "made", "time", "into" ], [ "be", "to", "in", "this", "of", "is", "for", "there", "one", "but" ], [ "set", "out", "up", "of", "this", "take", "to", ...	6.015406	all-MiniLM-L6-v2	0.46	0.021084	0.22108	0.654355
BBC News	NMF	44	40	[ [ "to", "only", "first", "by", "the", "time", "most", "of", "into", "end" ], [ "not", "their", "and", "many", "which", "more", "by", "to", "says", "are" ], [ "this", "take", "to", "in", "up", "out", "...	6.084018	all-MiniLM-L6-v2	0.47	0.018414	0.229421	0.644242
BBC News	NMF	45	40	[ [ "the", "of", "to", "by", "time", "first", "only", "as", "most", "made" ], [ "is", "to", "are", "in", "be", "this", "of", "the", "not", "but" ], [ "this", "to", "take", "of", "out", "also", "up", ...	5.805614	all-MiniLM-L6-v2	0.4625	0.023241	0.226866	0.642111
BBC News	NMF	46	40	[ [ "by", "most", "to", "of", "the", "only", "first", "in", "made", "into" ], [ "but", "in", "of", "be", "to", "this", "and", "is", "for", "one" ], [ "up", "out", "and", "take", "of", "this", "to", ...	5.800937	all-MiniLM-L6-v2	0.4775	0.026037	0.223325	0.662548
BBC News	NMF	43	50	[ [ "most", "of", "the", "first", "time", "way", "only", "into", "made", "through" ], [ "but", "not", "to", "in", "and", "for", "some", "do", "there", "just" ], [ "added", "of", "the", "were", "he", "to", ...	7.022824	all-MiniLM-L6-v2	0.48	0.022558	0.210626	0.663033
BBC News	NMF	44	50	[ [ "of", "and", "the", "to", "most", "by", "only", "made", "first", "end" ], [ "to", "is", "in", "be", "this", "and", "but", "has", "one", "there" ], [ "to", "take", "out", "and", "this", "make", "do",...	6.938699	all-MiniLM-L6-v2	0.474	0.024281	0.210787	0.665723
BBC News	NMF	45	50	[ [ "the", "in", "to", "and", "of", "most", "only", "also", "first", "into" ], [ "to", "in", "and", "is", "this", "but", "for", "be", "there", "at" ], [ "to", "make", "in", "up", "any", "able", "take", ...	6.991518	all-MiniLM-L6-v2	0.466	0.022124	0.210213	0.671605
BBC News	NMF	46	50	[ [ "the", "and", "to", "of", "most", "end", "through", "time", "first", "only" ], [ "is", "in", "to", "and", "of", "this", "but", "by", "not", "there" ], [ "make", "have", "move", "to", "and", "also", ...	7.060382	all-MiniLM-L6-v2	0.474	0.025417	0.217309	0.673176
BBC News	LDA	43	10	[ [ "of", "and", "japanese", "with", "in", "is", "to", "japan", "the", "that" ], [ "for", "that", "said", "be", "to", "the", "and", "of", "in", "on" ], [ "to", "the", "and", "of", "in", "that", "is", ...	7.357541	all-MiniLM-L6-v2	0.39	-0.019895	0.2819	0.585815

ArXiv ML Papers

CombinedTM

44

10

[ [ "convex", "convergence", "stochastic", "we", "linear", "algorithm", "gradient", "optimal", "policy", "regret" ], [ "neural", "energy", "inference", "scaling", "hardware", "long", "efficiency", "architectures", "series", "networks"...

1,054.658609

all-MiniLM-L6-v2

0.81

-0.093448

0.151801

0.669445

ArXiv ML Papers

CombinedTM

45

10

[ [ "system", "in", "for", "of", "the", "was", "and", "detection", "were", "are" ], [ "series", "channels", "forecasting", "net", "change", "accurate", "frequencies", "xgboost", "baseline", "publicly" ], [ "we", "algorithm...

996.905842

all-MiniLM-L6-v2

0.81

-0.072244

0.138617

0.678641

ArXiv ML Papers

CombinedTM

46

10

[ [ "membership", "initial", "exact", "clustering", "stability", "transmission", "nearest", "core", "varepsilon", "analyzed" ], [ "optimization", "stochastic", "linear", "convergence", "algorithm", "bounds", "bound", "function", "gradient...

1,063.191335

all-MiniLM-L6-v2

0.87

-0.107943

0.142169

0.710778

ArXiv ML Papers

CombinedTM

43

20

[ [ "embeddings", "representation", "graph", "graphs", "contrastive", "nodes", "gnns", "node", "embedding", "representations" ], [ "bound", "bandit", "bandits", "case", "arm", "sample", "delta", "unknown", "combinatorial", "estimator"...

1,193.747479

all-MiniLM-L6-v2

0.85

-0.048328

0.146138

0.742329

ArXiv ML Papers

CombinedTM

44

20

[ [ "boosting", "sensing", "head", "resolution", "weather", "decades", "participants", "sign", "super", "curve" ], [ "actions", "tasks", "goal", "reinforcement", "human", "environment", "rl", "learning", "robot", "reward" ], [ ...

1,197.092792

all-MiniLM-L6-v2

0.8

-0.04121

0.147587

0.711697

ArXiv ML Papers

CombinedTM

45

20

[ [ "data", "in", "algorithms", "are", "is", "the", "for", "of", "matrix", "clustering" ], [ "inference", "kernel", "uncertainty", "rank", "likelihood", "series", "posterior", "approximation", "tensor", "bayesian" ], [ "and", ...

1,241.306952

all-MiniLM-L6-v2

0.83

-0.04595

0.132401

0.740325

ArXiv ML Papers

CombinedTM

46

20

[ [ "gaussian", "equation", "bandits", "estimates", "markov", "frac", "adaptive", "lower", "continuous", "varepsilon" ], [ "representations", "graph", "from", "domain", "labeled", "datasets", "contrastive", "feature", "supervised", "t...

1,205.251652

all-MiniLM-L6-v2

0.815

-0.067902

0.122064

0.728138

ArXiv ML Papers

CombinedTM

43

30

[ [ "models", "that", "user", "model", "are", "attack", "attacks", "privacy", "as", "to" ], [ "feature", "net", "segmentation", "video", "cnn", "temporal", "spatial", "diffusion", "proposed", "uses" ], [ "in", "of", "t...

1,134.648329

all-MiniLM-L6-v2

0.766667

-0.072291

0.135358

0.743058

ArXiv ML Papers

CombinedTM

44

30

[ [ "control", "theory", "dynamics", "imitation", "free", "policy", "reinforcement", "controller", "policies", "quantum" ], [ "resolution", "convolutional", "layer", "medical", "hardware", "overall", "super", "residual", "hidden", "ac...

1,126.578353

all-MiniLM-L6-v2

0.763333

-0.053987

0.124083

0.72492

ArXiv ML Papers

CombinedTM

45

30

[ [ "agent", "agents", "learning", "is", "communication", "action", "rl", "reward", "reinforcement", "the" ], [ "regression", "groups", "kernels", "mixed", "neighbor", "compositional", "expression", "trade", "combination", "associated...

1,275.798602

all-MiniLM-L6-v2

0.773333

-0.05319

0.126317

0.738159

ArXiv ML Papers

CombinedTM

46

30

[ [ "weather", "temperature", "net", "convolutional", "resolution", "architectures", "was", "video", "architecture", "fusion" ], [ "tasks", "visual", "language", "word", "representations", "languages", "task", "differences", "words", ...

1,145.643708

all-MiniLM-L6-v2

0.79

-0.048533

0.126579

0.744957

ArXiv ML Papers

CombinedTM

43

40

[ [ "interactions", "feature", "3d", "on", "based", "video", "side", "sparse", "attention", "propose" ], [ "tensor", "approximations", "approximation", "low", "observations", "regression", "rank", "gaussian", "estimator", "kernel" ]...

1,160.406196

all-MiniLM-L6-v2

0.7575

-0.075834

0.131865

0.759935

ArXiv ML Papers

CombinedTM

44

40

[ [ "of", "and", "the", "as", "reports", "patients", "eye", "in", "by", "set" ], [ "bit", "neural", "activation", "pooling", "with", "networks", "energy", "cnns", "convolution", "training" ], [ "xgboost", "biased", "ki...

1,211.411275

all-MiniLM-L6-v2

0.7975

-0.056014

0.125304

0.766979

ArXiv ML Papers

CombinedTM

45

40

[ [ "regret", "bandits", "demand", "bandit", "reward", "problem", "combinatorial", "bounds", "setting", "subject" ], [ "channel", "gans", "pooling", "as", "have", "networks", "to", "gan", "be", "generative" ], [ "models", ...

1,192.502085

all-MiniLM-L6-v2

0.79

-0.074623

0.125084

0.778185

ArXiv ML Papers

CombinedTM

46

40

[ [ "neural", "networks", "sparse", "we", "network", "filters", "that", "learned", "pruning", "can" ], [ "dnn", "forecasting", "signals", "performed", "precision", "regularization", "wireless", "execution", "layer", "challenge" ], ...

1,202.865748

all-MiniLM-L6-v2

0.8

-0.058479

0.123563

0.762506

ArXiv ML Papers

CombinedTM

43

50

[ [ "node", "nodes", "graph", "graphs", "embeddings", "ranking", "view", "contrastive", "structure", "attribute" ], [ "semi", "data", "supervised", "deep", "unlabeled", "labeled", "domain", "learning", "self", "datasets" ], [ ...

1,270.031078

all-MiniLM-L6-v2

0.77

-0.093623

0.114436

0.77835

ArXiv ML Papers

CombinedTM

44

50

[ [ "which", "model", "the", "dataset", "generator", "image", "on", "segmentation", "whole", "separation" ], [ "deep", "in", "it", "and", "compute", "learning", "has", "ensemble", "memory", "feature" ], [ "interaction", "i...

1,241.735884

all-MiniLM-L6-v2

0.782

-0.068213

0.123115

0.773315

ArXiv ML Papers

CombinedTM

45

50

[ [ "profile", "focuses", "moving", "publicly", "profiles", "kinds", "score", "building", "forecasts", "usage" ], [ "been", "current", "explanations", "clinical", "mri", "explanation", "explainable", "decoder", "have", "has" ], [ ...

1,262.079415

all-MiniLM-L6-v2

0.776

-0.088516

0.121718

0.779442

ArXiv ML Papers

CombinedTM

46

50

[ [ "research", "development", "engineering", "clinical", "challenges", "software", "recommendation", "researchers", "health", "these" ], [ "hardware", "memory", "bit", "accuracy", "time", "neural", "scaling", "computational", "power", ...

1,136.607853

all-MiniLM-L6-v2

0.808

-0.089542

0.122159

0.799054

ArXiv ML Papers

ZeroShotTM

43

10

[ [ "for", "detection", "the", "of", "in", "and", "to", "was", "are", "time" ], [ "is", "to", "data", "and", "in", "the", "neural", "of", "as", "image" ], [ "attacks", "adversarial", "attack", "training", "mode...

837.810843

all-MiniLM-L6-v2

0.88

-0.072702

0.152875

0.736941

ArXiv ML Papers

ZeroShotTM

44

10

[ [ "we", "where", "policies", "that", "rl", "reinforcement", "agent", "policy", "agents", "algorithm" ], [ "network", "to", "neural", "segmentation", "networks", "images", "with", "performance", "image", "and" ], [ "anomaly",...

1,073.741708

all-MiniLM-L6-v2

0.91

-0.046654

0.148369

0.757752

ArXiv ML Papers

ZeroShotTM

45

10

[ [ "policy", "algorithm", "we", "gradient", "convergence", "optimal", "bound", "algorithms", "bandit", "our" ], [ "feature", "graphs", "graph", "node", "learning", "nodes", "embedding", "user", "framework", "data" ], [ "neura...

857.142377

all-MiniLM-L6-v2

0.85

-0.07376

0.140517

0.710748

ArXiv ML Papers

ZeroShotTM

46

10

[ [ "bounds", "convex", "algorithm", "prove", "linear", "optimization", "convergence", "stochastic", "gradient", "descent" ], [ "the", "to", "in", "is", "algorithms", "of", "we", "learning", "that", "agent" ], [ "speech", ...

1,055.409697

all-MiniLM-L6-v2

0.86

-0.054286

0.142779

0.757024

ArXiv ML Papers

ZeroShotTM

43

20

[ [ "rl", "learning", "robot", "control", "reinforcement", "actions", "policy", "tasks", "environments", "human" ], [ "federated", "learning", "the", "server", "quantum", "is", "to", "devices", "an", "updates" ], [ "gnns", ...

1,090.633944

all-MiniLM-L6-v2

0.85

-0.039269

0.134656

0.761513

ArXiv ML Papers

ZeroShotTM

44

20

[ [ "of", "that", "ml", "questions", "research", "to", "in", "models", "are", "fairness" ], [ "gan", "that", "generative", "data", "latent", "model", "to", "in", "from", "distribution" ], [ "deep", "image", "images", ...

1,012.478548

all-MiniLM-L6-v2

0.805

-0.037419

0.136133

0.746527

ArXiv ML Papers

ZeroShotTM

45

20

[ [ "policy", "agent", "reinforcement", "environment", "actions", "learning", "robot", "rl", "control", "reward" ], [ "bandit", "for", "we", "algorithm", "regret", "epsilon", "optimization", "convergence", "which", "optimal" ], [ ...

1,028.527274

all-MiniLM-L6-v2

0.82

-0.052973

0.134271

0.74595

ArXiv ML Papers

ZeroShotTM

46

20

[ [ "stochastic", "optimization", "descent", "order", "convex", "gradient", "convergence", "linear", "problems", "points" ], [ "algorithm", "that", "optimal", "bound", "bandits", "bandit", "regret", "we", "online", "reward" ], [ ...

1,002.356594

all-MiniLM-L6-v2

0.825

-0.034569

0.117749

0.750488

ArXiv ML Papers

ZeroShotTM

43

30

[ [ "research", "this", "in", "human", "and", "researchers", "ai", "can", "software", "of" ], [ "data", "metric", "are", "classification", "synthetic", "images", "dataset", "for", "to", "ensemble" ], [ "image", "segmentati...

1,141.844126

all-MiniLM-L6-v2

0.746667

-0.044985

0.12864

0.747085

ArXiv ML Papers

ZeroShotTM

44

30

[ [ "stochastic", "bandits", "policy", "regret", "action", "bandit", "games", "reward", "markov", "convergence" ], [ "language", "word", "generation", "translation", "text", "semantic", "nlp", "words", "visual", "style" ], [ "...

1,051.120682

all-MiniLM-L6-v2

0.776667

-0.02817

0.130445

0.768253

ArXiv ML Papers

ZeroShotTM

45

30

[ [ "attacks", "robustness", "examples", "attack", "adversarial", "training", "robust", "box", "perturbations", "against" ], [ "method", "selection", "the", "feature", "missing", "of", "data", "methods", "is", "kernel" ], [ "i...

1,156.536222

all-MiniLM-L6-v2

0.786667

-0.048736

0.135058

0.759984

ArXiv ML Papers

ZeroShotTM

46

30

[ [ "is", "of", "gan", "to", "the", "we", "in", "step", "images", "transformation" ], [ "for", "quantum", "in", "learning", "noise", "the", "and", "of", "is", "data" ], [ "optimization", "bandit", "gradient", "stoc...

1,155.78876

all-MiniLM-L6-v2

0.773333

-0.055739

0.130825

0.760351

ArXiv ML Papers

ZeroShotTM

43

40

[ [ "embedding", "datasets", "deep", "on", "end", "transfer", "source", "scale", "search", "propose" ], [ "vision", "convolutional", "transformers", "cnn", "end", "deep", "performance", "transformer", "convolution", "attention" ], ...

1,199.097349

all-MiniLM-L6-v2

0.7375

-0.062373

0.129414

0.766295

ArXiv ML Papers

ZeroShotTM

44

40

[ [ "capture", "representation", "visual", "sequence", "attention", "target", "graphs", "representations", "context", "video" ], [ "node", "graphs", "feature", "gnns", "graph", "embedding", "nodes", "interactions", "protein", "side" ...

1,407.553352

all-MiniLM-L6-v2

0.7075

-0.051788

0.132117

0.761656

ArXiv ML Papers

ZeroShotTM

45

40

[ [ "reconstruction", "method", "image", "generative", "gan", "images", "segmentation", "3d", "imaging", "training" ], [ "segmentation", "map", "medical", "net", "region", "cnn", "active", "was", "device", "dnn" ], [ "agent", ...

1,162.944222

all-MiniLM-L6-v2

0.74

-0.065519

0.129832

0.752588

ArXiv ML Papers

ZeroShotTM

46

40

[ [ "3d", "the", "transform", "as", "segmentation", "to", "by", "is", "images", "data" ], [ "software", "clinical", "techniques", "media", "documents", "papers", "engineering", "patterns", "disease", "explainable" ], [ "segmen...

951.813567

all-MiniLM-L6-v2

0.765

-0.063279

0.136257

0.765867

ArXiv ML Papers

ZeroShotTM

43

50

[ [ "variational", "approximate", "posterior", "chain", "sampling", "discrete", "mcmc", "bayesian", "carlo", "monte" ], [ "matrix", "algorithm", "rank", "that", "we", "low", "our", "completion", "recover", "noisy" ], [ "cnn", ...

978.73439

all-MiniLM-L6-v2

0.734

-0.061772

0.131684

0.780063

ArXiv ML Papers

ZeroShotTM

44

50

[ [ "classification", "feature", "method", "clustering", "data", "methods", "kernel", "proposed", "dimensionality", "neighbor" ], [ "surface", "bayesian", "partition", "density", "outlier", "nonparametric", "negative", "mean", "indeed", ...

1,174.040942

all-MiniLM-L6-v2

0.698

-0.066644

0.130783

0.775953

ArXiv ML Papers

ZeroShotTM

45

50

[ [ "of", "queries", "the", "is", "for", "generalization", "hypothesis", "we", "divergence", "wise" ], [ "risk", "defense", "privacy", "attack", "machine", "attacks", "models", "model", "adversarial", "these" ], [ "delta", ...

1,066.117967

all-MiniLM-L6-v2

0.706

-0.065101

0.127012

0.783174

ArXiv ML Papers

ZeroShotTM

46

50

[ [ "networks", "neural", "training", "activation", "depth", "adversarial", "network", "relu", "layer", "width" ], [ "enhancement", "performance", "channel", "speech", "cnn", "end", "separation", "voice", "asr", "on" ], [ "an"...

1,220.778715

all-MiniLM-L6-v2

0.708

-0.066256

0.129866

0.77281

ArXiv ML Papers

ECRTM

43

10

[ [ "attack", "perturbation", "perturbations", "adversarial", "defense", "against", "gan", "attacks", "robustness", "attacker" ], [ "convolution", "rnn", "layer", "decoder", "layers", "transformer", "speech", "pruning", "convolutional", ...

4,127.300286

all-MiniLM-L6-v2

1

-0.063325

0.131136

0.902187

ArXiv ML Papers

ECRTM

44

10

[ [ "adversarial", "perturbations", "attacks", "defense", "gan", "perturbation", "relu", "gans", "robustness", "pooling" ], [ "bandit", "sqrt", "epsilon", "regret", "bounds", "convex", "delta", "bound", "log", "varepsilon" ], [ ...

4,688.849451

all-MiniLM-L6-v2

0.98

-0.099419

0.139801

0.918459

ArXiv ML Papers

ECRTM

45

10

[ [ "media", "games", "library", "pipelines", "gpu", "implementations", "tensor", "sum", "solving", "solvers" ], [ "decoder", "encoder", "speech", "language", "transformer", "audio", "languages", "word", "text", "speaker" ], [ ...

4,159.961052

all-MiniLM-L6-v2

0.99

-0.074917

0.139443

0.911483

ArXiv ML Papers

ECRTM

46

10

[ [ "monte", "distributions", "variables", "posterior", "variational", "carlo", "density", "bayesian", "likelihood", "uncertainty" ], [ "subspace", "norm", "subspaces", "kernels", "relu", "equations", "convex", "approximation", "dimension...

4,646.624485

all-MiniLM-L6-v2

0.98

-0.13126

0.150766

0.923685

ArXiv ML Papers

ECRTM

43

20

[ [ "gan", "adversarial", "generator", "gans", "contrastive", "perturbations", "images", "augmentation", "image", "camera" ], [ "3d", "net", "enhancement", "demand", "videos", "video", "resolution", "speech", "module", "spatial" ], ...

21,789.126004

all-MiniLM-L6-v2

0.945

-0.132215

0.141669

0.925237

ArXiv ML Papers

ECRTM

44

20

[ [ "ml", "questions", "research", "researchers", "subjects", "compliance", "social", "health", "human", "treatment" ], [ "reward", "agent", "action", "robot", "policy", "policies", "reinforcement", "rl", "actions", "planning" ], ...

21,816.13647

all-MiniLM-L6-v2

0.95

-0.110595

0.144156

0.920937

ArXiv ML Papers

ECRTM

45

20

[ [ "channels", "explanations", "coding", "channel", "explanation", "quantum", "calibration", "concepts", "eeg", "transmission" ], [ "ml", "social", "fairness", "subjects", "questions", "researchers", "research", "health", "human", "i...

21,868.923991

all-MiniLM-L6-v2

0.94

-0.12843

0.152332

0.9172

ArXiv ML Papers

ECRTM

46

20

[ [ "clustering", "subspace", "subspaces", "mathbb", "clusters", "kernel", "laplacian", "recovery", "semi", "regression" ], [ "labeled", "cell", "unlabeled", "contrastive", "segmentation", "supervised", "supervision", "images", "annotatio...

22,149.969739

all-MiniLM-L6-v2

0.96

-0.140105

0.140342

0.907562

ArXiv ML Papers

ECRTM

43

30

[ [ "attack", "attacks", "defense", "perturbations", "vulnerable", "adversarial", "attacker", "perturbation", "vulnerability", "poisoning" ], [ "series", "anomaly", "signals", "speech", "delay", "music", "audio", "temporal", "event", ...

21,010.94308

all-MiniLM-L6-v2

0.893333

-0.177103

0.133445

0.924199

ArXiv ML Papers

ECRTM

44

30

[ [ "shift", "biases", "unbiased", "camera", "bias", "grained", "million", "scaling", "strategies", "changes" ], [ "completion", "series", "rank", "matrix", "tensor", "nonnegative", "subspace", "clustering", "anomaly", "alternating" ...

121.898181

all-MiniLM-L6-v2

0.9

-0.157026

0.134444

0.917003

ArXiv ML Papers

ECRTM

45

30

[ [ "pruning", "quantization", "memory", "hardware", "pruned", "scaling", "nas", "convolution", "initialization", "compact" ], [ "differential", "physics", "control", "equations", "shape", "controller", "quantum", "informed", "dynamical",...

121.165248

all-MiniLM-L6-v2

0.933333

-0.133228

0.134941

0.918399

ArXiv ML Papers

ECRTM

46

30

[ [ "activation", "kernels", "mixed", "infinite", "probabilistic", "asymptotic", "base", "compositional", "media", "programming" ], [ "gnns", "graphs", "link", "node", "nodes", "graph", "embeddings", "vertex", "embedding", "neighborho...

117.883204

all-MiniLM-L6-v2

0.906667

-0.159988

0.135218

0.91787

ArXiv ML Papers

ECRTM

43

40

[ [ "compliance", "quantum", "subjects", "human", "individuals", "ml", "researchers", "questions", "interventions", "social" ], [ "recovery", "converges", "provably", "games", "sum", "varepsilon", "solvers", "correlated", "game", "met...

95.518122

all-MiniLM-L6-v2

0.93

-0.199357

0.12476

0.924882

ArXiv ML Papers

ECRTM

44

40

[ [ "convex", "proximal", "minimax", "convergence", "stochastic", "epsilon", "descent", "min", "accelerated", "sgd" ], [ "described", "algorithms", "place", "000", "objective", "converges", "behavioral", "15", "max", "observable" ],...

139.658376

all-MiniLM-L6-v2

0.885

-0.201981

0.127813

0.915715

ArXiv ML Papers

ECRTM

45

40

[ [ "varepsilon", "frac", "kernels", "kernel", "omega", "hilbert", "delta", "laplacian", "recovery", "converges" ], [ "graph", "nodes", "graphs", "link", "node", "embeddings", "neighborhood", "embedding", "vertex", "gnns" ], [ ...

129.142575

all-MiniLM-L6-v2

0.96

-0.192391

0.13562

0.923463

ArXiv ML Papers

ECRTM

46

40

[ [ "varepsilon", "sqrt", "regret", "bandit", "epsilon", "tilde", "bandits", "frac", "delta", "armed" ], [ "autoregressive", "landscape", "queries", "likelihood", "variance", "overfitting", "estimator", "et", "al", "developers" ], ...

139.110896

all-MiniLM-L6-v2

0.9625

-0.212002

0.130715

0.927364

ArXiv ML Papers

ECRTM

43

50

[ [ "imaging", "check", "unclear", "minimizing", "spatially", "surface", "simplified", "whilst", "cross", "tend" ], [ "software", "ml", "industry", "working", "health", "compliance", "researchers", "subjects", "practices", "workflow" ...

106.329468

all-MiniLM-L6-v2

0.956

-0.246896

0.119947

0.927086

ArXiv ML Papers

ECRTM

44

50

[ [ "decisions", "protein", "help", "universal", "explain", "encoding", "activity", "predict", "behavior", "genetic" ], [ "aspect", "characteristics", "notions", "concept", "twitter", "interaction", "metrics", "bleu", "automatically", ...

94.302951

all-MiniLM-L6-v2

0.936

-0.235821

0.129265

0.925652

ArXiv ML Papers

ECRTM

45

50

[ [ "agent", "rl", "robot", "policy", "reward", "robotic", "policies", "actions", "reinforcement", "imitation" ], [ "video", "segmentation", "frame", "track", "audio", "videos", "segment", "imaging", "18", "resonance" ], [ "fl...

91.016291

all-MiniLM-L6-v2

0.97

-0.263356

0.120231

0.926986

ArXiv ML Papers

ECRTM

46

50

[ [ "preliminary", "quantum", "equations", "dynamical", "recommendation", "sensing", "differential", "hyperparameters", "systems", "stability" ], [ "ascent", "momentum", "pac", "convergence", "proximal", "descent", "sgd", "accelerated", "...

94.262968

all-MiniLM-L6-v2

0.964

-0.23199

0.128409

0.928781

BBC News

BERTopic

43

10

[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

878.928533

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.603049

BBC News

BERTopic

44

10

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

902.157574

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.610833

BBC News

BERTopic

45

10

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...

881.797756

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.601131

BBC News

BERTopic

46

10

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

836.7507

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.607718

BBC News

BERTopic

43

20

[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

885.883228

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.612158

BBC News

BERTopic

44

20

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

856.648137

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.60994

BBC News

BERTopic

45

20

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...

891.810742

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.604801

BBC News

BERTopic

46

20

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

870.464814

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.607233

BBC News

BERTopic

43

30

[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

837.507406

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.610622

BBC News

BERTopic

44

30

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

629.620124

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.611601

BBC News

BERTopic

45

30

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...

783.705856

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.599727

BBC News

BERTopic

46

30

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

743.55428

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.605389

BBC News

BERTopic

43

40

[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

826.509843

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.609603

BBC News

BERTopic

44

40

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

769.670217

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.605696

BBC News

BERTopic

45

40

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...

816.676008

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.603034

BBC News

BERTopic

46

40

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

793.18764

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.612705

BBC News

BERTopic

43

50

[ [ "in", "and", "of", "that", "the", "is", "to", "for", "said", "it" ], [ "the", "to", "of", "and", "in", "he", "for", "but", "we", "his" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

887.912302

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.607666

BBC News

BERTopic

44

50

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

953.922494

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.602802

BBC News

BERTopic

45

50

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "doping", "of", "drugs", "to", "the", "and", "greek", ...

795.812462

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.607512

BBC News

BERTopic

46

50

[ [ "the", "of", "for", "is", "and", "that", "in", "to", "it", "said" ], [ "to", "for", "he", "of", "the", "in", "his", "we", "but", "and" ], [ "in", "of", "the", "was", "and", "his", "but", "open",...

831.127964

all-MiniLM-L6-v2

0.5

-0.010048

0.256275

0.611343

BBC News

NMF

43

10

[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...

1.788574

all-MiniLM-L6-v2

0.49

-0.001058

0.269654

0.570532

BBC News

NMF

44

10

[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...

2.07404

all-MiniLM-L6-v2

0.49

-0.001058

0.269654

0.565647

BBC News

NMF

45

10

[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "not", "we", "to", "that", "and", "is", "with", "have", "of", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...

1.986854

all-MiniLM-L6-v2

0.49

-0.001058

0.269654

0.56901

BBC News

NMF

46

10

[ [ "at", "by", "the", "first", "which", "it", "on", "to", "time", "from" ], [ "we", "is", "not", "of", "and", "that", "have", "to", "with", "it" ], [ "be", "are", "they", "by", "the", "that", "to", ...

2.463064

all-MiniLM-L6-v2

0.49

-0.001058

0.269654

0.567671

BBC News

NMF

43

20

[ [ "as", "has", "which", "of", "to", "the", "by", "this", "at", "first" ], [ "have", "to", "not", "is", "we", "with", "and", "in", "of", "that" ], [ "up", "to", "with", "of", "the", "by", "out", "o...

2.887159

all-MiniLM-L6-v2

0.445

0.000025

0.2376

0.583025

BBC News

NMF

44

20

[ [ "which", "as", "by", "of", "the", "to", "has", "first", "this", "at" ], [ "that", "with", "have", "of", "we", "in", "and", "not", "to", "is" ], [ "to", "by", "of", "the", "up", "with", "take", "...

2.894762

all-MiniLM-L6-v2

0.45

-0.000566

0.239007

0.584071

BBC News

NMF

45

20

[ [ "the", "of", "to", "which", "this", "as", "by", "has", "at", "first" ], [ "of", "not", "and", "we", "is", "have", "that", "with", "in", "to" ], [ "to", "of", "the", "by", "up", "over", "out", "f...

2.937413

all-MiniLM-L6-v2

0.445

0.003874

0.244736

0.579699

BBC News

NMF

46

20

[ [ "which", "to", "this", "as", "first", "has", "of", "by", "the", "at" ], [ "we", "with", "to", "is", "of", "that", "and", "in", "have", "not" ], [ "to", "the", "by", "of", "with", "up", "out", "t...

2.936663

all-MiniLM-L6-v2

0.44

0.002334

0.239386

0.583331

BBC News

NMF

43

30

[ [ "time", "first", "only", "made", "the", "of", "to", "by", "most", "past" ], [ "and", "to", "of", "that", "is", "in", "we", "with", "not", "be" ], [ "this", "up", "take", "to", "out", "the", "of", ...

4.200741

all-MiniLM-L6-v2

0.45

0.013064

0.241346

0.633494

BBC News

NMF

44

30

[ [ "the", "of", "as", "to", "by", "time", "most", "only", "made", "first" ], [ "in", "to", "of", "is", "that", "and", "we", "with", "not", "be" ], [ "work", "the", "this", "an", "take", "of", "to", ...

4.031053

all-MiniLM-L6-v2

0.45

0.012691

0.230508

0.611437

BBC News

NMF

45

30

[ [ "to", "as", "of", "most", "by", "time", "with", "the", "only", "made" ], [ "to", "in", "is", "not", "of", "and", "with", "that", "we", "be" ], [ "this", "to", "of", "the", "take", "up", "out", "...

4.173429

all-MiniLM-L6-v2

0.453333

0.013133

0.23752

0.617082

BBC News

NMF

46

30

[ [ "first", "by", "as", "also", "to", "most", "the", "only", "time", "of" ], [ "of", "that", "is", "in", "with", "and", "not", "we", "to", "have" ], [ "up", "this", "the", "to", "take", "out", "of", ...

4.004504

all-MiniLM-L6-v2

0.45

0.014527

0.238503

0.61101

BBC News

NMF

43

40

[ [ "the", "of", "only", "most", "first", "to", "by", "made", "time", "into" ], [ "be", "to", "in", "this", "of", "is", "for", "there", "one", "but" ], [ "set", "out", "up", "of", "this", "take", "to", ...

6.015406

all-MiniLM-L6-v2

0.46

0.021084

0.22108

0.654355

BBC News

NMF

44

40

[ [ "to", "only", "first", "by", "the", "time", "most", "of", "into", "end" ], [ "not", "their", "and", "many", "which", "more", "by", "to", "says", "are" ], [ "this", "take", "to", "in", "up", "out", "...

6.084018

all-MiniLM-L6-v2

0.47

0.018414

0.229421

0.644242

BBC News

NMF

45

40

[ [ "the", "of", "to", "by", "time", "first", "only", "as", "most", "made" ], [ "is", "to", "are", "in", "be", "this", "of", "the", "not", "but" ], [ "this", "to", "take", "of", "out", "also", "up", ...

5.805614

all-MiniLM-L6-v2

0.4625

0.023241

0.226866

0.642111

BBC News

NMF

46

40

[ [ "by", "most", "to", "of", "the", "only", "first", "in", "made", "into" ], [ "but", "in", "of", "be", "to", "this", "and", "is", "for", "one" ], [ "up", "out", "and", "take", "of", "this", "to", ...

5.800937

all-MiniLM-L6-v2

0.4775

0.026037

0.223325

0.662548

BBC News

NMF

43

50

[ [ "most", "of", "the", "first", "time", "way", "only", "into", "made", "through" ], [ "but", "not", "to", "in", "and", "for", "some", "do", "there", "just" ], [ "added", "of", "the", "were", "he", "to", ...

7.022824

all-MiniLM-L6-v2

0.48

0.022558

0.210626

0.663033

BBC News

NMF

44

50

[ [ "of", "and", "the", "to", "most", "by", "only", "made", "first", "end" ], [ "to", "is", "in", "be", "this", "and", "but", "has", "one", "there" ], [ "to", "take", "out", "and", "this", "make", "do",...

6.938699

all-MiniLM-L6-v2

0.474

0.024281

0.210787

0.665723

BBC News

NMF

45

50

[ [ "the", "in", "to", "and", "of", "most", "only", "also", "first", "into" ], [ "to", "in", "and", "is", "this", "but", "for", "be", "there", "at" ], [ "to", "make", "in", "up", "any", "able", "take", ...

6.991518

all-MiniLM-L6-v2

0.466

0.022124

0.210213

0.671605

BBC News

NMF

46

50

[ [ "the", "and", "to", "of", "most", "end", "through", "time", "first", "only" ], [ "is", "in", "to", "and", "of", "this", "but", "by", "not", "there" ], [ "make", "have", "move", "to", "and", "also", ...

7.060382

all-MiniLM-L6-v2

0.474

0.025417

0.217309

0.673176

BBC News

LDA

43

10

[ [ "of", "and", "japanese", "with", "in", "is", "to", "japan", "the", "that" ], [ "for", "that", "said", "be", "to", "the", "and", "of", "in", "on" ], [ "to", "the", "and", "of", "in", "that", "is", ...

7.357541

all-MiniLM-L6-v2

0.39

-0.019895

0.2819

0.585815