| { |
| "activation": "gelu", |
| "architectures": [ |
| "DistilBertForSequenceClassification" |
| ], |
| "attention_dropout": 0.1, |
| "attention_probs_dropout_prob": 0.3, |
| "dim": 768, |
| "dropout": 0.1, |
| "hidden_dim": 3072, |
| "hidden_dropout_prob": 0.3, |
| "id2label": { |
| "0": "3d_pose_estimation", |
| "1": "DNA_analysis", |
| "2": "DNA_identification", |
| "3": "RNA_analysis", |
| "4": "RNA_biology", |
| "5": "RNA_enzymes", |
| "6": "RNA_interference", |
| "7": "absolute_value", |
| "8": "accounting", |
| "9": "accounting_equation", |
| "10": "acgan", |
| "11": "acid_base_chemistry", |
| "12": "acquisition_functions", |
| "13": "activation_energy", |
| "14": "activation_functions", |
| "15": "activation_maximization", |
| "16": "active_learning", |
| "17": "activity_coefficients", |
| "18": "actor_critic", |
| "19": "adabound", |
| "20": "adagrad", |
| "21": "adain", |
| "22": "adam", |
| "23": "adam_gibbs_equation", |
| "24": "adamatch", |
| "25": "adamw", |
| "26": "adaptive_computation", |
| "27": "addiction_genetics", |
| "28": "adiabatic_bulk_modulus", |
| "29": "adiabatic_compressibility", |
| "30": "adjusted_r_squared", |
| "31": "advanced_microscopy", |
| "32": "adversarial_bandits", |
| "33": "adversarial_da", |
| "34": "adversarial_loss", |
| "35": "adversarial_patches", |
| "36": "adversarial_training", |
| "37": "aerogen_bonding", |
| "38": "aic", |
| "39": "algebra_simplification", |
| "40": "algebraic_spin_liquid", |
| "41": "algorithmic_information", |
| "42": "algorithms", |
| "43": "ali", |
| "44": "allosteric_regulation", |
| "45": "alphapose", |
| "46": "altitude_adaptation", |
| "47": "amphoteric_substances", |
| "48": "analytical_chemistry", |
| "49": "anchors", |
| "50": "angle_conversion", |
| "51": "angle_resolved_photoemission", |
| "52": "angles", |
| "53": "anion_binding_catalysis", |
| "54": "anionic_polymerization", |
| "55": "anomalous_behavior", |
| "56": "anova", |
| "57": "anti_markovnikov", |
| "58": "anyonic_statistics", |
| "59": "api_design", |
| "60": "api_error", |
| "61": "aquatic_genetics", |
| "62": "arbitrary_style_transfer", |
| "63": "aromatic_chemistry", |
| "64": "asam", |
| "65": "asymmetric_catalysis", |
| "66": "atom_transfer_radical_polymerization", |
| "67": "atomic_force_microscopy", |
| "68": "atomic_spectroscopy", |
| "69": "atomic_structure", |
| "70": "attention", |
| "71": "attention_mechanism", |
| "72": "attention_visualization", |
| "73": "attentiongan", |
| "74": "attrition_bias", |
| "75": "auc", |
| "76": "augmax", |
| "77": "autoaugment", |
| "78": "autocatalysis", |
| "79": "autocorrelation", |
| "80": "autognn", |
| "81": "automl", |
| "82": "auxetic_materials", |
| "83": "avatar_net", |
| "84": "awp", |
| "85": "axion_insulators", |
| "86": "backward_elimination", |
| "87": "badge_sampling", |
| "88": "banet", |
| "89": "barlow_twins", |
| "90": "base_chemistry", |
| "91": "basic_arithmetic", |
| "92": "batch_norm", |
| "93": "baum_welch", |
| "94": "bayesian_active_learning", |
| "95": "bayesian_opt_gp", |
| "96": "bayesian_optimization", |
| "97": "bayesian_spectrum", |
| "98": "behavioral_genetics", |
| "99": "beit", |
| "100": "benjamini_hochberg", |
| "101": "bert", |
| "102": "beta_process", |
| "103": "bfgs", |
| "104": "bias_variance", |
| "105": "bic", |
| "106": "bicontinuous_phases", |
| "107": "bidirectional_rnn", |
| "108": "bifunctional_catalysis", |
| "109": "bigan", |
| "110": "bigcolor", |
| "111": "biggan", |
| "112": "bimetallic_catalysis", |
| "113": "bimodal_relaxation", |
| "114": "binding_equilibrium", |
| "115": "binodal_curve", |
| "116": "biochemical_equations", |
| "117": "biochemical_methods", |
| "118": "biochemical_pathways", |
| "119": "biochemistry", |
| "120": "biology", |
| "121": "biomimetic_chemistry", |
| "122": "blockchain_ml", |
| "123": "bmf", |
| "124": "bonferroni_correction", |
| "125": "book_flight", |
| "126": "book_title", |
| "127": "bootstrap_confidence", |
| "128": "borromean_rings", |
| "129": "bottom_up_pose", |
| "130": "bowline_knots", |
| "131": "bptt", |
| "132": "buffer_capacity", |
| "133": "buffer_chemistry", |
| "134": "bulk_modulus", |
| "135": "bulk_viscosity", |
| "136": "bundle_adjustment", |
| "137": "byol", |
| "138": "cable_knots", |
| "139": "calcium_signaling", |
| "140": "calculus_derivatives", |
| "141": "calculus_integrals", |
| "142": "calculus_limits", |
| "143": "cancer_genetics", |
| "144": "cancer_prevention", |
| "145": "cancer_progression", |
| "146": "canonical_information", |
| "147": "carbocation_chemistry", |
| "148": "carbohydrate_analysis", |
| "149": "carbohydrate_mobilization", |
| "150": "carbohydrate_storage", |
| "151": "cars_spectroscopy", |
| "152": "cascade_reactions", |
| "153": "catalysis", |
| "154": "catalytic_selectivity", |
| "155": "catatectic_reaction", |
| "156": "catboost", |
| "157": "catenanes", |
| "158": "cation_binding_catalysis", |
| "159": "cationic_polymerization", |
| "160": "cav", |
| "161": "cca", |
| "162": "cdan", |
| "163": "cell_analysis", |
| "164": "cell_communication", |
| "165": "cell_death_signaling", |
| "166": "cell_visualization", |
| "167": "cellular_heterogeneity", |
| "168": "cellular_organization", |
| "169": "cellular_protection", |
| "170": "center_loss", |
| "171": "centernet", |
| "172": "central_metabolism", |
| "173": "certified_defense", |
| "174": "chain_growth_polymerization", |
| "175": "chalcogen_bonding", |
| "176": "chamnet", |
| "177": "chebyshev_gcn", |
| "178": "chemical_bonding", |
| "179": "chemical_equilibrium", |
| "180": "chemical_potential", |
| "181": "chemical_storage", |
| "182": "chemiluminescence", |
| "183": "chemoselectivity", |
| "184": "chi_square", |
| "185": "chiral_spin_liquid", |
| "186": "chromagan", |
| "187": "chronobiology_genetics", |
| "188": "cinquefoil_knots", |
| "189": "click_chemistry", |
| "190": "climate_adaptation", |
| "191": "cloud_point", |
| "192": "clove_hitch_knots", |
| "193": "clustering", |
| "194": "co_training", |
| "195": "cogan", |
| "196": "cognition_genetics", |
| "197": "cohens_d", |
| "198": "cohens_kappa", |
| "199": "coherent_attention", |
| "200": "cold_adaptation", |
| "201": "cole_cole_parameters", |
| "202": "cole_davidson_parameters", |
| "203": "collaborative_filtering", |
| "204": "colligative_properties", |
| "205": "color_changes", |
| "206": "colorful_colorization", |
| "207": "combinations", |
| "208": "competitive_learning", |
| "209": "complex", |
| "210": "complex_compliance", |
| "211": "complex_modulus", |
| "212": "complex_numbers", |
| "213": "composite_knots", |
| "214": "composition_analysis", |
| "215": "compound_interest", |
| "216": "compressibility", |
| "217": "computer_vision", |
| "218": "concentration_calculation", |
| "219": "concordance_correlation", |
| "220": "concurrency", |
| "221": "concurrent_validity", |
| "222": "conditional_gan", |
| "223": "confounding_control", |
| "224": "confusion_matrix", |
| "225": "congruent_melting", |
| "226": "conjugate_gradients", |
| "227": "construct_validity", |
| "228": "content_based_filtering", |
| "229": "content_validity", |
| "230": "context_encoders", |
| "231": "contextual_bandits", |
| "232": "continuous_relaxation_spectrum", |
| "233": "contrastive_loss", |
| "234": "controlled_radical_polymerization", |
| "235": "conve", |
| "236": "convergent_beam_diffraction", |
| "237": "convergent_validity", |
| "238": "convnext", |
| "239": "cooperative_binding", |
| "240": "cooperative_catalysis", |
| "241": "cooperative_photoredox", |
| "242": "cooperativity_parameter", |
| "243": "coordinate_geometry", |
| "244": "coordination_chemistry", |
| "245": "coordination_geometry", |
| "246": "coral", |
| "247": "core_set_selection", |
| "248": "coreset_greedy", |
| "249": "cornernet", |
| "250": "correlation", |
| "251": "correlative_microscopy", |
| "252": "corrosion_chemistry", |
| "253": "cosine_annealing", |
| "254": "cosine_similarity", |
| "255": "counterfactual_explanations", |
| "256": "counterion_catalysis", |
| "257": "covalent_organic_frameworks", |
| "258": "cox_merz_rule", |
| "259": "cpc", |
| "260": "cpm", |
| "261": "cramers_v", |
| "262": "creep_compliance", |
| "263": "creep_function", |
| "264": "crf", |
| "265": "criterion_validity", |
| "266": "critical_composition", |
| "267": "critical_end_point", |
| "268": "critical_micelle_concentration", |
| "269": "critical_phenomena", |
| "270": "cronbachs_alpha", |
| "271": "cross_entropy", |
| "272": "cross_validation", |
| "273": "crown_ethers", |
| "274": "crp", |
| "275": "cryo_electron_tomography", |
| "276": "crystallography", |
| "277": "cultural_evolution", |
| "278": "curse_dimensionality", |
| "279": "cutmix", |
| "280": "cutout", |
| "281": "cv_error_estimation", |
| "282": "cw_attack", |
| "283": "cycle_consistency", |
| "284": "cyclegan", |
| "285": "cyclical_lr", |
| "286": "dann", |
| "287": "darts", |
| "288": "data_augmentation", |
| "289": "data_structures", |
| "290": "database", |
| "291": "database_design", |
| "292": "database_error", |
| "293": "database_optimization", |
| "294": "database_performance", |
| "295": "davidson_cole_relaxation", |
| "296": "deblurgan", |
| "297": "debugging", |
| "298": "decentralized_ai", |
| "299": "decimal_to_percent", |
| "300": "decimals", |
| "301": "decision_trees", |
| "302": "deep_active_learning", |
| "303": "deep_ib", |
| "304": "deep_rl", |
| "305": "deep_tissue_imaging", |
| "306": "deepcut", |
| "307": "deepfool", |
| "308": "deeplift", |
| "309": "defective_product", |
| "310": "defensive_distillation", |
| "311": "demixing", |
| "312": "dendrimers", |
| "313": "densenet", |
| "314": "densepose", |
| "315": "desert_adaptation", |
| "316": "development_genetics", |
| "317": "developmental_biology", |
| "318": "developmental_genetics", |
| "319": "developmental_morphology", |
| "320": "developmental_movement", |
| "321": "developmental_patterning", |
| "322": "devops", |
| "323": "dice_coefficient", |
| "324": "dice_loss", |
| "325": "dielectric_properties", |
| "326": "diff_pooling", |
| "327": "differential_privacy", |
| "328": "diffpool", |
| "329": "diffusion", |
| "330": "diffusion_maps", |
| "331": "dino", |
| "332": "dipole_moments", |
| "333": "dirac_semimetals", |
| "334": "discogan", |
| "335": "discrete_relaxation_spectrum", |
| "336": "discriminant_validity", |
| "337": "distance_correlation", |
| "338": "distmult", |
| "339": "diversity_sampling", |
| "340": "division_control", |
| "341": "dnc", |
| "342": "dncnn", |
| "343": "domain_adaptation", |
| "344": "domino_reactions", |
| "345": "dp_mixture", |
| "346": "draggan", |
| "347": "dropedge", |
| "348": "dropnode", |
| "349": "drug_response_genetics", |
| "350": "dual_beam_fib", |
| "351": "dual_catalysis", |
| "352": "dualgan", |
| "353": "dynamic_gnn", |
| "354": "dynamic_light_scattering", |
| "355": "dynamic_viscosity", |
| "356": "earth_movers_distance", |
| "357": "ecological_genetics", |
| "358": "ecological_validity", |
| "359": "economics", |
| "360": "economics_equation", |
| "361": "edge_computing", |
| "362": "edge_quantization", |
| "363": "edgeconnect", |
| "364": "edsr", |
| "365": "effect_size", |
| "366": "efficientdet", |
| "367": "efficientnet", |
| "368": "efficientnetv2", |
| "369": "ekf", |
| "370": "elastic_net", |
| "371": "electrical_properties", |
| "372": "electroanalytical_chemistry", |
| "373": "electrocatalysis", |
| "374": "electrochemistry", |
| "375": "electrochromism", |
| "376": "electromagnetism", |
| "377": "electron_affinity", |
| "378": "electron_transfer", |
| "379": "electrophoresis", |
| "380": "electropolymerization", |
| "381": "electrospray_ionization", |
| "382": "elimination_reactions", |
| "383": "em_algorithm", |
| "384": "ema", |
| "385": "embryogenesis", |
| "386": "emulsion_polymerization", |
| "387": "enamine_catalysis", |
| "388": "enantioselectivity", |
| "389": "enas", |
| "390": "encoder_decoder", |
| "391": "endocrine_signaling", |
| "392": "energy_production", |
| "393": "enlightengan", |
| "394": "ensemble_learning", |
| "395": "entropy", |
| "396": "environmental_tem", |
| "397": "enzyme_cofactors", |
| "398": "enzyme_efficiency", |
| "399": "enzyme_function", |
| "400": "enzyme_helpers", |
| "401": "enzyme_inhibition", |
| "402": "enzyme_kinetics", |
| "403": "enzyme_mechanism", |
| "404": "enzyme_models", |
| "405": "enzyme_pH_effects", |
| "406": "enzyme_regulation", |
| "407": "enzyme_structure", |
| "408": "enzyme_thermodynamics", |
| "409": "enzyme_toxicology", |
| "410": "enzyme_variants", |
| "411": "epigenetic_analysis", |
| "412": "epr_spectroscopy", |
| "413": "espcn", |
| "414": "eta_squared", |
| "415": "euclidean_distance", |
| "416": "eutectoid_transformation", |
| "417": "evolutionary_genomics", |
| "418": "evolving_gcn", |
| "419": "excess_gibbs_energy", |
| "420": "excess_properties", |
| "421": "expansion_microscopy", |
| "422": "expected_gradients", |
| "423": "expected_improvement", |
| "424": "expected_model_change", |
| "425": "exponential_decay", |
| "426": "exponential_mechanism", |
| "427": "exponents", |
| "428": "extensional_viscosity", |
| "429": "external_memory", |
| "430": "external_validity", |
| "431": "extraction_techniques", |
| "432": "extremenet", |
| "433": "f1_score", |
| "434": "face_validity", |
| "435": "factor_analysis", |
| "436": "factorials", |
| "437": "factoring", |
| "438": "fast_ion_conductors", |
| "439": "fast_neural_style", |
| "440": "faster_rcnn", |
| "441": "fastgcn", |
| "442": "fbnet", |
| "443": "fcos", |
| "444": "fdr_control", |
| "445": "feature_extraction", |
| "446": "feature_importance", |
| "447": "feature_pyramid", |
| "448": "feature_squeezing", |
| "449": "fedavg", |
| "450": "federated_learning", |
| "451": "fednova", |
| "452": "fedopt", |
| "453": "fedprox", |
| "454": "feedforward_networks", |
| "455": "femtosecond_spectroscopy", |
| "456": "ferroelectricity", |
| "457": "few_shot_graph", |
| "458": "ffdnet", |
| "459": "fgsm", |
| "460": "fibonacci_anyons", |
| "461": "fibonacci_sequence", |
| "462": "figure_eight_knot", |
| "463": "finance", |
| "464": "finance_equation", |
| "465": "fine_tuning", |
| "466": "fisher_pruning", |
| "467": "fixmatch", |
| "468": "flame", |
| "469": "flame_tests", |
| "470": "fleiss_kappa", |
| "471": "flexmatch", |
| "472": "flow_activation_energy", |
| "473": "flownet", |
| "474": "fluctuation_electron_microscopy", |
| "475": "fluorescence", |
| "476": "focal_loss", |
| "477": "focused_ion_beam", |
| "478": "force_spectroscopy", |
| "479": "forward_backward", |
| "480": "forward_selection", |
| "481": "fpn", |
| "482": "fraction_comparison", |
| "483": "fraction_to_percent", |
| "484": "fractional_chern_insulator", |
| "485": "fractional_quantum_hall", |
| "486": "fractions", |
| "487": "fragility_index", |
| "488": "frame_interpolation", |
| "489": "free_radical_chemistry", |
| "490": "frontend", |
| "491": "frustrated_lewis_pairs", |
| "492": "fugacity", |
| "493": "function_evaluation", |
| "494": "function_properties", |
| "495": "funit", |
| "496": "fwer", |
| "497": "gan", |
| "498": "ganspace", |
| "499": "gapless_spin_liquid", |
| "500": "gas_laws", |
| "501": "gas_phase_electron_diffraction", |
| "502": "gas_signaling", |
| "503": "gat", |
| "504": "gated_conv", |
| "505": "gaugan", |
| "506": "gaussian_mechanism", |
| "507": "gaussian_processes", |
| "508": "gaussian_relaxation_distribution", |
| "509": "gcn", |
| "510": "gcv_spectrum", |
| "511": "gel_sol_transition", |
| "512": "gene_expression", |
| "513": "gene_expression_analysis", |
| "514": "gene_function_analysis", |
| "515": "gene_regulation", |
| "516": "general_knowledge", |
| "517": "generative_adversarial", |
| "518": "genetic_algorithms", |
| "519": "genome_architecture", |
| "520": "genome_assembly", |
| "521": "genome_comparison", |
| "522": "genome_engineering", |
| "523": "genome_maintenance", |
| "524": "genome_protection", |
| "525": "genomics_technology", |
| "526": "geometry_area", |
| "527": "geometry_perimeter", |
| "528": "geometry_volume", |
| "529": "gerontology_genetics", |
| "530": "ghostnet", |
| "531": "gin", |
| "532": "gini_impurity", |
| "533": "glass_delta", |
| "534": "glass_glass_transition", |
| "535": "glass_transition", |
| "536": "globally_coherent", |
| "537": "glucose_catabolism", |
| "538": "glucose_metabolism", |
| "539": "glucose_oxidation", |
| "540": "glucose_synthesis", |
| "541": "gmm", |
| "542": "gmt", |
| "543": "goodman_kruskal_gamma", |
| "544": "gpt", |
| "545": "gradcam", |
| "546": "gradient_boosting", |
| "547": "gradual_pruning", |
| "548": "granny_knots", |
| "549": "graph_classification", |
| "550": "graph_completion", |
| "551": "graph_kernels", |
| "552": "graph_nas", |
| "553": "graph_neural_networks", |
| "554": "graph_pooling", |
| "555": "graph_regression", |
| "556": "graph_rnn", |
| "557": "graph_sequence", |
| "558": "graph_transformer", |
| "559": "graphit", |
| "560": "graphnorm", |
| "561": "graphsage", |
| "562": "graphsaint", |
| "563": "grasp", |
| "564": "gravimetric_analysis", |
| "565": "grid_search", |
| "566": "group_transfer", |
| "567": "group_transfer_polymerization", |
| "568": "growth_promotion", |
| "569": "growth_regulation", |
| "570": "gru", |
| "571": "gruneisen_parameter", |
| "572": "half_hitch_knots", |
| "573": "halogen_bonding", |
| "574": "hamming_distance", |
| "575": "hangmans_knot", |
| "576": "havriliak_negami", |
| "577": "hdp", |
| "578": "heat_adaptation", |
| "579": "heat_capacity", |
| "580": "hebbian_learning", |
| "581": "hedges_g", |
| "582": "helium_ion_microscopy", |
| "583": "henry_law", |
| "584": "heterogeneous_catalysis", |
| "585": "hierarchical_fl", |
| "586": "hierarchical_graph", |
| "587": "hierarchical_porosity", |
| "588": "high_res_inpainting", |
| "589": "higher_order_topological", |
| "590": "hinet", |
| "591": "hinge_loss", |
| "592": "hmm", |
| "593": "homomorphic_encryption", |
| "594": "hopf_links", |
| "595": "horn_schunck", |
| "596": "host_guest_chemistry", |
| "597": "hourglass_networks", |
| "598": "hrnet", |
| "599": "huber_loss", |
| "600": "hybrid_recommender", |
| "601": "hydrodynamic_properties", |
| "602": "hydrogen_bond_catalysis", |
| "603": "hydrogen_bonding", |
| "604": "hydrolysis_reactions", |
| "605": "hydrophilic_interaction", |
| "606": "hydrophobic_interaction", |
| "607": "hyperparameters", |
| "608": "ibp", |
| "609": "ica", |
| "610": "icc", |
| "611": "image_colorization", |
| "612": "image_deblurring", |
| "613": "image_denoising", |
| "614": "image_enhancement", |
| "615": "image_inpainting", |
| "616": "iminium_catalysis", |
| "617": "immune_signaling", |
| "618": "immunity_genetics", |
| "619": "inception", |
| "620": "inclusion_complexes", |
| "621": "incongruent_melting", |
| "622": "incremental_validity", |
| "623": "infogan", |
| "624": "information_bias", |
| "625": "information_bottleneck", |
| "626": "information_gain", |
| "627": "inst_colorization", |
| "628": "institution_name", |
| "629": "instrumental_analysis", |
| "630": "integrated_gradients", |
| "631": "inter_rater_reliability", |
| "632": "interfacegan", |
| "633": "interfacial_polymerization", |
| "634": "intermolecular_forces", |
| "635": "internal_consistency", |
| "636": "internal_validity", |
| "637": "invariant_reaction", |
| "638": "inverse_electron_demand", |
| "639": "inverse_functions", |
| "640": "ion_chromatography", |
| "641": "ionic_conductors", |
| "642": "ionic_liquids", |
| "643": "iou_loss", |
| "644": "ising_anyons", |
| "645": "isobaric_expansivity", |
| "646": "isomap", |
| "647": "isomerism", |
| "648": "isoreticular_frameworks", |
| "649": "isothermal_compressibility", |
| "650": "isotope_effects", |
| "651": "jaccard_similarity", |
| "652": "jackknife_estimation", |
| "653": "joule_thomson_coefficient", |
| "654": "js_divergence", |
| "655": "jsma", |
| "656": "kendalls_tau", |
| "657": "kernel_methods", |
| "658": "kernel_pca", |
| "659": "kfac", |
| "660": "kind", |
| "661": "kinematic_viscosity", |
| "662": "kinetic_resolution", |
| "663": "kinetics", |
| "664": "kitaev_spin_liquid", |
| "665": "kl_divergence", |
| "666": "knowledge_distillation", |
| "667": "knowledge_graph_embeddings", |
| "668": "kohlrausch_exponent", |
| "669": "kolmogorov_complexity", |
| "670": "krafft_temperature", |
| "671": "krippendorffs_alpha", |
| "672": "l_curve_optimization", |
| "673": "lab_on_chip", |
| "674": "label_smoothing", |
| "675": "lamb", |
| "676": "language_genetics", |
| "677": "laplace_mechanism", |
| "678": "laplacian_eigenmaps", |
| "679": "lasso_regression", |
| "680": "layer_norm", |
| "681": "lbfgs", |
| "682": "lcst_behavior", |
| "683": "lda", |
| "684": "learning_loss_prediction", |
| "685": "let_there_be_color", |
| "686": "lewis_acid_base", |
| "687": "lid", |
| "688": "light_sheet_microscopy", |
| "689": "lightgbm", |
| "690": "lime", |
| "691": "linear_bandits", |
| "692": "linear_equations", |
| "693": "linear_expansion", |
| "694": "linear_kernel", |
| "695": "linear_regression", |
| "696": "link_prediction", |
| "697": "lion", |
| "698": "lipid_biosynthesis", |
| "699": "lipid_catabolism", |
| "700": "lipid_metabolism", |
| "701": "lipid_profiling", |
| "702": "lipid_signaling", |
| "703": "liquid_cell_microscopy", |
| "704": "liquid_crystals", |
| "705": "liquid_liquid_extraction", |
| "706": "liquid_phase_electron_diffraction", |
| "707": "living_polymerization", |
| "708": "lle", |
| "709": "local_dp", |
| "710": "logarithms", |
| "711": "logistic_regression", |
| "712": "lognormal_relaxation_distribution", |
| "713": "lookahead", |
| "714": "loss_compliance", |
| "715": "loss_functions", |
| "716": "loss_modulus", |
| "717": "loss_tangent", |
| "718": "lottery_ticket", |
| "719": "low_light_enhancement", |
| "720": "low_rank_approximation", |
| "721": "low_rank_recovery", |
| "722": "lower_consolute_temperature", |
| "723": "lr_scheduling", |
| "724": "lrp", |
| "725": "ls_svm", |
| "726": "lsgan", |
| "727": "lstm", |
| "728": "lucas_kanade", |
| "729": "machine_learning", |
| "730": "mae", |
| "731": "magnet", |
| "732": "magnetic_monopoles", |
| "733": "magnetic_properties", |
| "734": "magnetocaloric_materials", |
| "735": "magnitude_pruning", |
| "736": "mahalanobis_detection", |
| "737": "mahalanobis_distance", |
| "738": "majorana_fermions", |
| "739": "maml", |
| "740": "manhattan_distance", |
| "741": "mano", |
| "742": "marine_genetics", |
| "743": "mart", |
| "744": "mask_rcnn", |
| "745": "maskfeat", |
| "746": "mass_spectrometry_techniques", |
| "747": "matching_networks", |
| "748": "math_equation", |
| "749": "matrix_completion", |
| "750": "matrix_factorization", |
| "751": "maxent", |
| "752": "maximum_entropy_spectrum", |
| "753": "mcd", |
| "754": "mcts", |
| "755": "mdl", |
| "756": "mds", |
| "757": "mean_teacher", |
| "758": "measurement_error", |
| "759": "mechanically_interlocked", |
| "760": "mechanics", |
| "761": "mechanochemical_polymerization", |
| "762": "mechanochemistry", |
| "763": "memory_augmented", |
| "764": "memory_genetics", |
| "765": "memory_management", |
| "766": "mesoporous_materials", |
| "767": "message_passing", |
| "768": "meta_learning", |
| "769": "metabolic_control", |
| "770": "metabolic_organization", |
| "771": "metabolite_analysis", |
| "772": "metal_organic_frameworks", |
| "773": "metal_organic_polyhedra", |
| "774": "metallaphotoredox", |
| "775": "metamaterials", |
| "776": "metathesis_polymerization", |
| "777": "mic", |
| "778": "micellar_catalysis", |
| "779": "microbiome_analysis", |
| "780": "microemulsion_polymerization", |
| "781": "microemulsions", |
| "782": "microscopy_techniques", |
| "783": "mimo_unet", |
| "784": "mine", |
| "785": "mini_batch_gd", |
| "786": "miniemulsion_polymerization", |
| "787": "minimax_gan", |
| "788": "minkowski_distance", |
| "789": "mixed_conductors", |
| "790": "mixmatch", |
| "791": "mixnet", |
| "792": "mixup", |
| "793": "mkl", |
| "794": "mmd", |
| "795": "mnasnet", |
| "796": "mobilenet", |
| "797": "moco", |
| "798": "model_compression", |
| "799": "model_performance", |
| "800": "moisture_absorption", |
| "801": "molar_refraction", |
| "802": "mole_calculations", |
| "803": "molecular_borromean_rings", |
| "804": "molecular_formulas", |
| "805": "molecular_genetics", |
| "806": "molecular_localization", |
| "807": "molecular_recognition", |
| "808": "momentum", |
| "809": "money", |
| "810": "monocular_depth", |
| "811": "monotectic_reaction", |
| "812": "motor_genetics", |
| "813": "mpl", |
| "814": "mprnet", |
| "815": "mprnet_deblur", |
| "816": "mse", |
| "817": "multi_armed_bandits", |
| "818": "multi_head_attention", |
| "819": "multi_scale_features", |
| "820": "multiclass_svm", |
| "821": "multicomponent_reactions", |
| "822": "multiferroic_materials", |
| "823": "multimodal_relaxation", |
| "824": "multiple_hypothesis", |
| "825": "multiple_regression", |
| "826": "multiplication", |
| "827": "multiscale_graph", |
| "828": "multistep_lr", |
| "829": "multitask_fl", |
| "830": "multiview_pose", |
| "831": "munit", |
| "832": "mutual_information", |
| "833": "myega_equation", |
| "834": "nadam", |
| "835": "nafnet", |
| "836": "nag", |
| "837": "nanobeam_diffraction", |
| "838": "nanoscopy", |
| "839": "nanostructures", |
| "840": "nas", |
| "841": "nasnet", |
| "842": "natural_gradients", |
| "843": "negative_thermal_expansion", |
| "844": "network_architecture", |
| "845": "network_dissection", |
| "846": "network_pruning", |
| "847": "networking", |
| "848": "neural_bandits", |
| "849": "neural_network_spectrum", |
| "850": "neural_style_transfer", |
| "851": "neural_texture_transfer", |
| "852": "neural_turing_machine", |
| "853": "neuroscience_genetics", |
| "854": "neurotechnology", |
| "855": "neutron_scattering", |
| "856": "nitrogen_metabolism", |
| "857": "nitroxide_mediated_polymerization", |
| "858": "nlp", |
| "859": "nmf", |
| "860": "nmr_spectroscopy", |
| "861": "nnls_spectrum", |
| "862": "nnmf", |
| "863": "no_free_lunch", |
| "864": "nodal_line_semimetals", |
| "865": "node_classification", |
| "866": "noisy_student", |
| "867": "non_abelian_anyons", |
| "868": "non_exponential_relaxation", |
| "869": "non_ideal_solutions", |
| "870": "noose_knots", |
| "871": "normal_stress_differences", |
| "872": "nuclear_chemistry", |
| "873": "nucleic_acid_metabolism", |
| "874": "nucleotide_biosynthesis", |
| "875": "nucleotide_metabolism", |
| "876": "number_theory", |
| "877": "nutritional_genetics", |
| "878": "oasis", |
| "879": "oblivious_transfer", |
| "880": "occams_razor", |
| "881": "occlusion_sensitivity", |
| "882": "ofa", |
| "883": "omega_squared", |
| "884": "one_class_svm", |
| "885": "one_cycle", |
| "886": "online_learning", |
| "887": "openpose", |
| "888": "optical_activity", |
| "889": "optical_flow", |
| "890": "optics", |
| "891": "optimization", |
| "892": "order_of_operations", |
| "893": "organic_chemistry", |
| "894": "organic_functional_groups", |
| "895": "organocatalysis", |
| "896": "oscillating_reactions", |
| "897": "osmotic_coefficients", |
| "898": "overfitting", |
| "899": "oxidative_protection", |
| "900": "pac_learning", |
| "901": "paf", |
| "902": "pain_genetics", |
| "903": "palm_microscopy", |
| "904": "parabolas", |
| "905": "parafermionic_zero_modes", |
| "906": "parafermions", |
| "907": "partial_conv", |
| "908": "partial_eta_squared", |
| "909": "partial_molar_properties", |
| "910": "particle_filter", |
| "911": "partition_coefficients", |
| "912": "pca", |
| "913": "pentafoil_knots", |
| "914": "percent_to_decimal", |
| "915": "percent_to_fraction", |
| "916": "percentages", |
| "917": "percolation", |
| "918": "performance_issue", |
| "919": "performance_optimization", |
| "920": "pericyclic_reactions", |
| "921": "peritectic_point", |
| "922": "peritectoid_reaction", |
| "923": "permutation_importance", |
| "924": "permutation_test", |
| "925": "permutations", |
| "926": "person_name", |
| "927": "personalized_fl", |
| "928": "perturbation_explanations", |
| "929": "pgd", |
| "930": "phase_separation", |
| "931": "phase_transfer_catalysis", |
| "932": "phi_coefficient", |
| "933": "phononic_materials", |
| "934": "photochemical_rearrangements", |
| "935": "photochemistry", |
| "936": "photoinduced_processes", |
| "937": "photometric_stereo", |
| "938": "photonic_crystals", |
| "939": "photopolymerization", |
| "940": "photoredox_catalysis", |
| "941": "photostability", |
| "942": "physical_measurements", |
| "943": "physical_properties", |
| "944": "physics", |
| "945": "pi_model", |
| "946": "piecewise_constant", |
| "947": "piezoelectricity", |
| "948": "pir", |
| "949": "pitman_yor", |
| "950": "pix2pix", |
| "951": "plait_point", |
| "952": "plant_breeding", |
| "953": "plasma_polymerization", |
| "954": "plasmonic_materials", |
| "955": "pmf", |
| "956": "pna", |
| "957": "pnas", |
| "958": "pnictogen_bonding", |
| "959": "point_biserial", |
| "960": "polarizability", |
| "961": "policy_gradient", |
| "962": "polyak_averaging", |
| "963": "polymer_chemistry", |
| "964": "polymorphism", |
| "965": "polynomial_decay", |
| "966": "polynomial_kernel", |
| "967": "polynomial_regression", |
| "968": "population_genetics", |
| "969": "porous_coordination_polymers", |
| "970": "positional_encoding", |
| "971": "power_analysis", |
| "972": "power_law_relaxation", |
| "973": "powers", |
| "974": "precession_electron_diffraction", |
| "975": "precipitation_polymerization", |
| "976": "precipitation_reaction", |
| "977": "precision_medicine", |
| "978": "precision_recall", |
| "979": "predictive_validity", |
| "980": "pretzel_knots", |
| "981": "prime_numbers", |
| "982": "private_aggregation", |
| "983": "probability", |
| "984": "programming", |
| "985": "programming_error", |
| "986": "progressive_gan", |
| "987": "proof_of_learning", |
| "988": "protein_analysis", |
| "989": "protein_assistance", |
| "990": "protein_biophysics", |
| "991": "protein_biosynthesis", |
| "992": "protein_chemistry", |
| "993": "protein_degradation", |
| "994": "protein_denaturation", |
| "995": "protein_detection", |
| "996": "protein_localization", |
| "997": "protein_modification", |
| "998": "protein_pathology", |
| "999": "protein_processing", |
| "1000": "protein_profiling", |
| "1001": "protein_regulation", |
| "1002": "protein_synthesis", |
| "1003": "protein_turnover", |
| "1004": "proton_conductors", |
| "1005": "prototype_explanations", |
| "1006": "prototypical_networks", |
| "1007": "proxylessnas", |
| "1008": "pruning", |
| "1009": "pseudo_labeling", |
| "1010": "pseudorotaxanes", |
| "1011": "pso", |
| "1012": "psychiatric_genetics", |
| "1013": "publication_bias", |
| "1014": "purification_techniques", |
| "1015": "purity_analysis", |
| "1016": "pwc_net", |
| "1017": "pyramid_pooling", |
| "1018": "pythagorean_theorem", |
| "1019": "quadratic_equations", |
| "1020": "quadruple_point", |
| "1021": "qualitative_analysis", |
| "1022": "quantization", |
| "1023": "quantum_anomalous_hall", |
| "1024": "quantum_chemistry", |
| "1025": "quantum_criticality", |
| "1026": "quantum_dots", |
| "1027": "quantum_mechanics", |
| "1028": "quantum_spin_hall", |
| "1029": "quantum_spin_ice", |
| "1030": "quantum_spin_liquids", |
| "1031": "quasi_newton", |
| "1032": "quate", |
| "1033": "query_by_committee", |
| "1034": "r_squared", |
| "1035": "radam", |
| "1036": "rademacher_complexity", |
| "1037": "radial_distribution", |
| "1038": "radical_cation_catalysis", |
| "1039": "radical_chemistry", |
| "1040": "raft_flow", |
| "1041": "raft_polymerization", |
| "1042": "randaugment", |
| "1043": "random_erasing", |
| "1044": "random_search", |
| "1045": "randomized_smoothing", |
| "1046": "rbf_kernel", |
| "1047": "rcan", |
| "1048": "reaction_inhibition", |
| "1049": "reaction_mechanisms", |
| "1050": "real_esrgan", |
| "1051": "realtime_colorization", |
| "1052": "reciprocals", |
| "1053": "redox_enzymes", |
| "1054": "redox_reactions", |
| "1055": "reduce_on_plateau", |
| "1056": "reef_knots", |
| "1057": "reentrant_phases", |
| "1058": "reference_angles", |
| "1059": "refractive_index", |
| "1060": "regioselectivity", |
| "1061": "regnet", |
| "1062": "regularization", |
| "1063": "regularization_tuning", |
| "1064": "regularized_relaxation_spectrum", |
| "1065": "reinforcement_learning", |
| "1066": "relation_networks", |
| "1067": "relaxation_modulus", |
| "1068": "relaxation_spectrum", |
| "1069": "relaxation_time_distribution", |
| "1070": "relay_catalysis", |
| "1071": "remixmatch", |
| "1072": "reporting_bias", |
| "1073": "reptile", |
| "1074": "repvgg", |
| "1075": "residual_networks", |
| "1076": "resnet", |
| "1077": "resonance_structures", |
| "1078": "restormer", |
| "1079": "restormer_deblur", |
| "1080": "retardation_spectrum", |
| "1081": "reticular_chemistry", |
| "1082": "retinanet", |
| "1083": "retinexnet", |
| "1084": "retrograde_precipitation", |
| "1085": "retrograde_solubility", |
| "1086": "retrograde_solubility_behavior", |
| "1087": "ridge_regression", |
| "1088": "ridnet", |
| "1089": "rmse", |
| "1090": "rmsprop", |
| "1091": "rnn", |
| "1092": "robust_pca", |
| "1093": "roc_curve", |
| "1094": "romp", |
| "1095": "rotate", |
| "1096": "rotational_dynamics", |
| "1097": "rotaxanes", |
| "1098": "rounding", |
| "1099": "rtrl", |
| "1100": "ruas", |
| "1101": "running_knots", |
| "1102": "safety_concerns", |
| "1103": "sagan", |
| "1104": "sagpool", |
| "1105": "saliency_maps", |
| "1106": "salting_in", |
| "1107": "salting_out", |
| "1108": "sam", |
| "1109": "sanet", |
| "1110": "satellite_knots", |
| "1111": "scaffold", |
| "1112": "scaled_attention", |
| "1113": "scanning_probe_microscopy", |
| "1114": "second_messengers", |
| "1115": "second_normal_stress", |
| "1116": "secure_aggregation", |
| "1117": "security", |
| "1118": "selected_area_diffraction", |
| "1119": "selection_bias", |
| "1120": "self_assembly", |
| "1121": "self_healing_materials", |
| "1122": "self_training", |
| "1123": "semantic_manipulation", |
| "1124": "semantic_synthesis", |
| "1125": "semi_supervised", |
| "1126": "sensory_genetics", |
| "1127": "separation_techniques", |
| "1128": "seq2seq", |
| "1129": "sequences_arithmetic", |
| "1130": "sequences_geometric", |
| "1131": "sequential_catalysis", |
| "1132": "sfm", |
| "1133": "sgd", |
| "1134": "shampoo", |
| "1135": "shap", |
| "1136": "shape_from_shading", |
| "1137": "shape_memory_materials", |
| "1138": "shear_viscosity", |
| "1139": "shot", |
| "1140": "shufflenet", |
| "1141": "signal_amplification", |
| "1142": "signal_coupling", |
| "1143": "signal_termination", |
| "1144": "simclr", |
| "1145": "simmim", |
| "1146": "simple", |
| "1147": "simple_baselines", |
| "1148": "simple_embeddings", |
| "1149": "simple_interest", |
| "1150": "simsiam", |
| "1151": "simulated_annealing", |
| "1152": "single_atom_catalysis", |
| "1153": "single_crystal_analysis", |
| "1154": "single_molecule_biology", |
| "1155": "single_molecule_localization", |
| "1156": "skip_connections", |
| "1157": "skyrmions", |
| "1158": "slam", |
| "1159": "slip_knots", |
| "1160": "small_angle_scattering", |
| "1161": "smo", |
| "1162": "smoothgrad", |
| "1163": "smpc", |
| "1164": "smpl", |
| "1165": "snip", |
| "1166": "social_genetics", |
| "1167": "software_engineering", |
| "1168": "solid_state_chemistry", |
| "1169": "solid_state_reactions", |
| "1170": "solomon_knots", |
| "1171": "solubility", |
| "1172": "solubility_equilibrium", |
| "1173": "solution_preparation", |
| "1174": "solution_thermodynamics", |
| "1175": "som", |
| "1176": "somers_d", |
| "1177": "somo_activation", |
| "1178": "sound_velocity", |
| "1179": "spade", |
| "1180": "sparse_pca", |
| "1181": "spatial_biology", |
| "1182": "spearman_correlation", |
| "1183": "species_conservation", |
| "1184": "spectral_embedding", |
| "1185": "spectral_gcn", |
| "1186": "spectral_normalization", |
| "1187": "spin_crossover", |
| "1188": "spin_liquids", |
| "1189": "spinodal_decomposition", |
| "1190": "spinodal_temperature", |
| "1191": "split_half_reliability", |
| "1192": "sports_genetics", |
| "1193": "square_knots", |
| "1194": "square_roots", |
| "1195": "squeezenet", |
| "1196": "srcnn", |
| "1197": "srgan", |
| "1198": "srrf_microscopy", |
| "1199": "ssd", |
| "1200": "stacked_hourglass", |
| "1201": "stargan", |
| "1202": "statistics_mean", |
| "1203": "statistics_median", |
| "1204": "statistics_mode", |
| "1205": "statistics_standard_deviation", |
| "1206": "statistics_variance", |
| "1207": "stdp", |
| "1208": "sted_microscopy", |
| "1209": "step_decay", |
| "1210": "step_growth_polymerization", |
| "1211": "stepwise_regression", |
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