{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/active-learning/papers/31","list_of":"/task/active-learning","task":"Active Learning","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":31,"pages_in_order":31,"rows_per_page":100,"rows":[3001,3073],"of":3073,"counts":{"archive_papers_tagged":3073,"with_a_code_link":913,"where_syntology_ran_a_sample":195,"not_listed_spam_title":0,"listed":3073,"listed_where_code_ran":195,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":164,"every_run_a_failure_of_syntologys_instrument":31,"listed_with_a_run_with_no_instrument_failure":164,"listed_every_run_a_failure_of_syntologys_instrument":31,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/active-learning","prev":"/task/active-learning/papers/30","next":null,"papers":[{"url":null,"slug":"sequential-design-for-optimal-stopping","title":"Sequential Design for Optimal Stopping Problems","date":"2013-09-16","arxiv_id":"1309.3832","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-memristor-crossbar-structure-to","title":"Using memristor crossbar structure to implement a novel adaptive real time fuzzy modeling algorithm","date":"2013-09-12","arxiv_id":"1309.3242","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-trees-for-function-evaluation","title":"Decision Trees for Function Evaluation - Simultaneous Optimization of Worst and Expected Cost","date":"2013-09-11","arxiv_id":"1309.2796","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesopt-a-library-for-bayesian-optimization","title":"BayesOpt: A Library for Bayesian optimization with Robotics Applications","date":"2013-09-03","arxiv_id":"1309.0671","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-phenotyping-tasks","title":"Active Learning for Phenotyping Tasks","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"annotating-named-entities-in-clinical-text-by","title":"Annotating named entities in clinical text by combining pre-annotation and active learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-asr-n-best-information-on-bayesian","title":"Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"online-active-learning-for-cost-sensitive","title":"Online Active Learning for Cost Sensitive Domain Adaptation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reducing-annotation-effort-for-quality","title":"Reducing Annotation Effort for Quality Estimation via Active Learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"shef-lite-when-less-is-more-for-translation","title":"SHEF-Lite: When Less is More for Translation Quality Estimation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"text-classification-from-positive-and","title":"Text Classification from Positive and Unlabeled Data using Misclassified Data Correction","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-tool-for-interactive-concept","title":"Towards a Tool for Interactive Concept Building for Large Scale Analysis in the Humanities","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-power-of-localization-for-efficiently","title":"The Power of Localization for Efficiently Learning Linear Separators with Noise","date":"2013-07-31","arxiv_id":"1307.8371","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-active-learning-algorithms-for","title":"Statistical Active Learning Algorithms for Noise Tolerance and Differential Privacy","date":"2013-07-11","arxiv_id":"1307.3102","repositories_listed":0,"syntology":null},{"url":null,"slug":"auditing-active-learning-with-outcome","title":"Auditing: Active Learning with Outcome-Dependent Query Costs","date":"2013-06-10","arxiv_id":"1306.2347","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-active-learning-for-image","title":"Adaptive Active Learning for Image Classification","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-unsupervised-language-model","title":"Evaluating Unsupervised Language Model Adaptation Methods for Speaking Assessment","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nil_ucm-extracting-drug-drug-interactions","title":"NIL\\_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-data-set-selection-an-application-to","title":"Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"simultaneous-active-learning-of-classifiers","title":"Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-linear-time-active-learning-algorithm-for","title":"A Linear Time Active Learning Algorithm for Link Classification","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-and-the-irish-treebank","title":"Active Learning and the Irish Treebank","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-chinese-word-segmentation","title":"Active Learning for Chinese Word Segmentation","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-of-model-evidence-using","title":"Active Learning of Model Evidence Using Bayesian Quadrature","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-of-multi-index-function","title":"Active Learning of Multi-Index Function Models","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-active-learning-with-localized","title":"Bayesian active learning with localized priors for fast receptive field characterization","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-gaussian-processes-for","title":"Collaborative Gaussian Processes for Preference Learning","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"crab-reader-a-tool-for-analysis-and","title":"CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-optimistic-region-selection","title":"Hierarchical Optimistic Region Selection driven by Curiosity","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilabel-classification-using-bayesian","title":"Multilabel Classification using Bayesian Compressed Sensing","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"online-allocation-and-homogeneous","title":"Online allocation and homogeneous partitioning for piecewise constant mean-approximation","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-and-passive-learning-of-linear","title":"Active and passive learning of linear separators under log-concave distributions","date":"2012-11-06","arxiv_id":"1211.1082","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-crowd-sourced-databases","title":"Active Learning for Crowd-Sourced Databases","date":"2012-09-17","arxiv_id":"1209.3686","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-active-learning-of-halfspaces-an","title":"Efficient Active Learning of Halfspaces: an Aggressive Approach","date":"2012-08-17","arxiv_id":"1208.3561","repositories_listed":0,"syntology":null},{"url":null,"slug":"surrogate-losses-in-passive-and-active","title":"Surrogate Losses in Passive and Active Learning","date":"2012-07-16","arxiv_id":"1207.3772","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-imbalanced-sentiment","title":"Active Learning for Imbalanced Sentiment Classification","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-with-transfer-learning","title":"Active Learning with Transfer Learning","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"batch-active-learning-via-coordinated","title":"Batch Active Learning via Coordinated Matching","date":"2012-06-27","arxiv_id":"1206.6458","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-coreference-resolution","title":"Active Learning for Coreference Resolution","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-coreference-resolution-1","title":"Active Learning for Coreference Resolution","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-label-dependency-in-active-learning","title":"Exploring Label Dependency in Active Learning for Phenotype Mapping","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"upm-system-for-wmt-2012","title":"UPM system for WMT 2012","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dutchsemcor-targeting-the-ideal-sense-tagged","title":"DutchSemCor: Targeting the ideal sense-tagged corpus","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"asymptotic-accuracy-of-distribution-based","title":"Asymptotic Accuracy of Distribution-Based Estimation for Latent Variables","date":"2012-04-10","arxiv_id":"1204.2069","repositories_listed":0,"syntology":null},{"url":null,"slug":"distribution-dependent-sample-complexity-of","title":"Distribution-Dependent Sample Complexity of Large Margin Learning","date":"2012-04-05","arxiv_id":"1204.1276","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-interactive-machine","title":"Active learning for interactive machine translation","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-of-neural-response-functions","title":"Active learning of neural response functions with Gaussian processes","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-ranking-from-pairwise","title":"Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-with-a-drifting-distribution","title":"Active Learning with a Drifting Distribution","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-bias-mitigation-for-crowdsourcing","title":"Bayesian Bias Mitigation for Crowdsourcing","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lower-bounds-for-passive-and-active-learning","title":"Lower Bounds for Passive and Active Learning","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"online-submodular-set-cover-ranking-and","title":"Online Submodular Set Cover, Ranking, and Repeated Active Learning","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"video-annotation-and-tracking-with-active","title":"Video Annotation and Tracking with Active Learning","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-instance-sampling-via-matrix-partition","title":"Active Instance Sampling via Matrix Partition","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-applied-to-patient-adaptive","title":"Active Learning Applied to Patient-Adaptive Heartbeat Classification","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-by-querying-informative-and","title":"Active Learning by Querying Informative and Representative Examples","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"agnostic-active-learning-without-constraints","title":"Agnostic Active Learning Without Constraints","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"extensions-of-generalized-binary-search-to","title":"Extensions of Generalized Binary Search to Group Identification and Exponential Costs","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hashing-hyperplane-queries-to-near-points","title":"Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-active-learning-in-the-non","title":"Multi-View Active Learning in the Non-Realizable Case","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"10112512","title":"Extended Active Learning Method","date":"2010-11-10","arxiv_id":"1011.2512","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-optimal-bayesian-active-learning-with-1","title":"Near-Optimal Bayesian Active Learning with Noisy Observations","date":"2010-10-15","arxiv_id":"1010.3091","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-submodularity-theory-and","title":"Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization","date":"2010-03-21","arxiv_id":"1003.3967","repositories_listed":0,"syntology":null},{"url":null,"slug":"breaking-boundaries-between-induction-time","title":"Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-explore-and-exploit-in-pomdps","title":"Learning to Explore and Exploit in POMDPs","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"noisy-generalized-binary-search","title":"Noisy Generalized Binary Search","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"submodularity-cuts-and-applications","title":"Submodularity Cuts and Applications","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sufficient-conditions-for-agnostic-active","title":"Sufficient Conditions for Agnostic Active Learnable","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"human-active-learning","title":"Human Active Learning","date":"2008-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-preference-learning-with-discrete","title":"Active Preference Learning with Discrete Choice Data","date":"2007-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-batch-mode-active-learning","title":"Discriminative Batch Mode Active Learning","date":"2007-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-instance-active-learning","title":"Multiple-Instance Active Learning","date":"2007-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-with-statistical-models","title":"Active Learning with Statistical Models","date":"1996-03-01","arxiv_id":"cs/9603104","repositories_listed":0,"syntology":null}],"record_sha256":"6ac810d061ca4ebb27d2f7b486ee8eb35660253e835828a4ffcbb01f305e8f08","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}