{"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/model/papers/35","list_of":"/task/model","task":"model","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":35,"pages_in_order":55,"rows_per_page":100,"rows":[3401,3500],"of":5434,"counts":{"archive_papers_tagged":5434,"with_a_code_link":1733,"where_syntology_ran_a_sample":517,"not_listed_spam_title":0,"listed":5434,"listed_where_code_ran":517,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":424,"every_run_a_failure_of_syntologys_instrument":93,"listed_with_a_run_with_no_instrument_failure":424,"listed_every_run_a_failure_of_syntologys_instrument":93,"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/model","prev":"/task/model/papers/34","next":"/task/model/papers/36","papers":[{"url":null,"slug":"a-reservoir-model-of-explicit-human","title":"A Reservoir Model of Explicit Human Intelligence","date":"2022-07-06","arxiv_id":"2207.07912","repositories_listed":0,"syntology":null},{"url":null,"slug":"cost-efficient-payoffs-under-model-ambiguity","title":"Cost-efficient Payoffs under Model Ambiguity","date":"2022-07-06","arxiv_id":"2207.02948","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-weighting-negative-samples-for-model","title":"Re-weighting Negative Samples for Model-Agnostic Matching","date":"2022-07-06","arxiv_id":"2207.02468","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-flow-graphical-model","title":"Variational Flow Graphical Model","date":"2022-07-06","arxiv_id":"2207.02722","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-model-sizes-and-the","title":"Machine Learning Model Sizes and the Parameter Gap","date":"2022-07-05","arxiv_id":"2207.02852","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-a-mallows-type-model-for-ranked-choices","title":"On A Mallows-type Model For (Ranked) Choices","date":"2022-07-05","arxiv_id":"2207.01783","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-image-lighting-enhancement-using-a-3d","title":"Face Image Lighting Enhancement Using a 3D Model","date":"2022-07-02","arxiv_id":"2207.00761","repositories_listed":0,"syntology":null},{"url":null,"slug":"firenze-model-evaluation-using-weak-signals","title":"Firenze: Model Evaluation Using Weak Signals","date":"2022-07-02","arxiv_id":"2207.00827","repositories_listed":0,"syntology":null},{"url":null,"slug":"static-hedging-of-freight-risk-under-model","title":"Static Hedging of Freight Rate Risk in the Shipping Market under Model Uncertainty","date":"2022-07-02","arxiv_id":"2207.00862","repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminator-guided-model-based-offline","title":"Discriminator-Guided Model-Based Offline Imitation Learning","date":"2022-07-01","arxiv_id":"2207.00244","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-augmented-monotonic-attention","title":"Language Model Augmented Monotonic Attention for Simultaneous Translation","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"swahbert-language-model-of-swahili","title":"SwahBERT: Language Model of Swahili","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-compression-with-weighted-low-1","title":"Language model compression with weighted low-rank factorization","date":"2022-06-30","arxiv_id":"2207.00112","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-local-continuum-model-of-cell-cell-adhesion","title":"A local continuum model of cell-cell adhesion","date":"2022-06-29","arxiv_id":"2206.14461","repositories_listed":0,"syntology":null},{"url":null,"slug":"best-of-both-worlds-model-selection","title":"Best of Both Worlds Model Selection","date":"2022-06-29","arxiv_id":"2206.14912","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-and-input-constrained-model-reference","title":"State and Input Constrained Model Reference Adaptive Control","date":"2022-06-27","arxiv_id":"2206.13084","repositories_listed":0,"syntology":null},{"url":null,"slug":"explanatory-causal-effects-for-model-agnostic","title":"Explanatory causal effects for model agnostic explanations","date":"2022-06-23","arxiv_id":"2206.11529","repositories_listed":0,"syntology":null},{"url":null,"slug":"community-recovery-in-the-geometric-block","title":"Community Recovery in the Geometric Block Model","date":"2022-06-22","arxiv_id":"2206.11303","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-graph-fusion-for-language-model","title":"Knowledge Graph Fusion for Language Model Fine-tuning","date":"2022-06-21","arxiv_id":"2206.14574","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-imitation-learning-using-entropy","title":"Model-Based Imitation Learning Using Entropy Regularization of Model and Policy","date":"2022-06-21","arxiv_id":"2206.10101","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-log-private-company-valuation-model","title":"The Log Private Company Valuation Model","date":"2022-06-20","arxiv_id":"2206.09666","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-model-based-reinforcement","title":"A Survey on Model-based Reinforcement Learning","date":"2022-06-19","arxiv_id":"2206.09328","repositories_listed":0,"syntology":null},{"url":null,"slug":"deck-model-hardening-for-defending-pervasive","title":"DECK: Model Hardening for Defending Pervasive Backdoors","date":"2022-06-18","arxiv_id":"2206.09272","repositories_listed":0,"syntology":null},{"url":null,"slug":"rough-heston-local-volatility-model","title":"Rough-Heston Local-Volatility Model","date":"2022-06-18","arxiv_id":"2206.09220","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-flexible-diffusion-model","title":"A Flexible Diffusion Model","date":"2022-06-17","arxiv_id":"2206.10365","repositories_listed":0,"syntology":null},{"url":null,"slug":"cluster-generation-via-deep-energy-based","title":"Cluster Generation via Deep Energy-Based Model","date":"2022-06-17","arxiv_id":"2206.09002","repositories_listed":0,"syntology":null},{"url":null,"slug":"representational-multiplicity-should-be","title":"Disentangling Model Multiplicity in Deep Learning","date":"2022-06-17","arxiv_id":"2206.08890","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-calibrated-model-uncertainty-in-deep","title":"On Calibrated Model Uncertainty in Deep Learning","date":"2022-06-15","arxiv_id":"2206.07795","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-subspace-clustering-in-diverse","title":"Sparse Subspace Clustering in Diverse Multiplex Network Model","date":"2022-06-15","arxiv_id":"2206.07602","repositories_listed":0,"syntology":null},{"url":null,"slug":"mediators-conversational-agents-explaining","title":"Mediators: Conversational Agents Explaining NLP Model Behavior","date":"2022-06-13","arxiv_id":"2206.06029","repositories_listed":0,"syntology":null},{"url":null,"slug":"seatrans-learning-segmentation-assisted","title":"SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer","date":"2022-06-12","arxiv_id":"2206.05763","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-enactivist-inspired-mathematical-model-of","title":"An Enactivist-Inspired Mathematical Model of Cognition","date":"2022-06-10","arxiv_id":"2206.06096","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-leakage-from-model-in-federated-learning","title":"Deep Leakage from Model in Federated Learning","date":"2022-06-10","arxiv_id":"2206.04887","repositories_listed":0,"syntology":null},{"url":null,"slug":"eigenfairing-3d-model-fairing-using-image","title":"EigenFairing: 3D Model Fairing using Image Coherence","date":"2022-06-10","arxiv_id":"2206.05309","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-machine-learning-of-critical","title":"Model-based machine learning of critical brain dynamics","date":"2022-06-10","arxiv_id":"2206.05067","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-partitioned-approach-for-reduced","title":"A Novel Partitioned Approach for Reduced Order Model -- Finite Element Model (ROM-FEM) and ROM-ROM Coupling","date":"2022-06-09","arxiv_id":"2206.04736","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-human-centric-take-on-model-monitoring","title":"A Human-Centric Take on Model Monitoring","date":"2022-06-06","arxiv_id":"2206.02868","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-rollout-length-for-model-based-rl","title":"Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL","date":"2022-06-06","arxiv_id":"2206.02380","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-model-understanding-and-trust-with","title":"Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence","date":"2022-06-06","arxiv_id":"2206.02790","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-fractional-volatility-model-and-rough","title":"The fractional volatility model and rough volatility","date":"2022-06-05","arxiv_id":"2206.02205","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentially-private-model-compression","title":"Differentially Private Model Compression","date":"2022-06-03","arxiv_id":"2206.01838","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-electra-model-for-latin-token-tagging","title":"An ELECTRA Model for Latin Token Tagging Tasks","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmark-of-dnn-model-search-at-deployment","title":"Benchmark of DNN Model Search at Deployment Time","date":"2022-06-01","arxiv_id":"2206.00188","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-bandits-with-knapsacks-for-a","title":"Contextual Bandits with Knapsacks for a Conversion Model","date":"2022-06-01","arxiv_id":"2206.00314","repositories_listed":0,"syntology":null},{"url":null,"slug":"cxlm-a-construction-and-context-aware","title":"CxLM: A Construction and Context-aware Language Model","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-one-class-hate-speech-detection-model","title":"Deep One-Class Hate Speech Detection Model","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gabert-an-irish-language-model-2","title":"gaBERT — an Irish Language Model","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-unlearning-by-model-inversion","title":"Few-Shot Unlearning by Model Inversion","date":"2022-05-31","arxiv_id":"2205.15567","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimedia-recommendation-model-based-on","title":"A multimedia recommendation model based on collaborative graph","date":"2022-05-30","arxiv_id":"2205.14931","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-federate-or-not-to-federate-incentivizing","title":"Maximizing Global Model Appeal in Federated Learning","date":"2022-05-30","arxiv_id":"2205.14840","repositories_listed":0,"syntology":null},{"url":null,"slug":"approximate-conditional-coverage-via-neural","title":"Approximate Conditional Coverage & Calibration via Neural Model Approximations","date":"2022-05-28","arxiv_id":"2205.14310","repositories_listed":0,"syntology":null},{"url":null,"slug":"lesion-classification-by-model-based-feature","title":"Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity","date":"2022-05-27","arxiv_id":"2205.14029","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-adaptive-contrastive-learning-model-for","title":"An Adaptive Contrastive Learning Model for Spike Sorting","date":"2022-05-24","arxiv_id":"2205.11914","repositories_listed":0,"syntology":null},{"url":null,"slug":"hedging-valuation-adjustment-and-model-risk","title":"Handling model risk with XVAs","date":"2022-05-24","arxiv_id":"2205.11834","repositories_listed":0,"syntology":null},{"url":null,"slug":"lack-of-fluency-is-hurting-your-translation","title":"Lack of Fluency is Hurting Your Translation Model","date":"2022-05-24","arxiv_id":"2205.11826","repositories_listed":0,"syntology":null},{"url":null,"slug":"distilcamembert-a-distillation-of-the-french","title":"DistilCamemBERT: a distillation of the French model CamemBERT","date":"2022-05-23","arxiv_id":"2205.11111","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-model-generalization-for-monocular-3d","title":"Towards Model Generalization for Monocular 3D Object Detection","date":"2022-05-23","arxiv_id":"2205.11664","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-graph-enhanced-bert-model-for-event-2","title":"A Graph Enhanced BERT Model for Event Prediction","date":"2022-05-22","arxiv_id":"2205.10822","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-structural-model-of-genome-wide-association","title":"A structural model of genome-wide association studies","date":"2022-05-20","arxiv_id":"2205.10391","repositories_listed":0,"syntology":null},{"url":null,"slug":"aigenc-ai-generalisation-via-creativity","title":"AIGenC: An AI generalisation model via creativity","date":"2022-05-19","arxiv_id":"2205.09738","repositories_listed":0,"syntology":null},{"url":null,"slug":"field-distortion-model-based-on-fredholm","title":"Field Distortion Model Based on Fredholm Integral","date":"2022-05-18","arxiv_id":"2205.09022","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-explainable-ai-a-race-against-model","title":"Is explainable AI a race against model complexity?","date":"2022-05-17","arxiv_id":"2205.10119","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-offline-model-based-optimization-for","title":"A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems","date":"2022-05-15","arxiv_id":"2205.07250","repositories_listed":0,"syntology":null},{"url":null,"slug":"tibert-tibetan-pre-trained-language-model","title":"TiBERT: Tibetan Pre-trained Language Model","date":"2022-05-15","arxiv_id":"2205.07303","repositories_listed":0,"syntology":null},{"url":null,"slug":"dualcf-efficient-model-extraction-attack-from","title":"DualCF: Efficient Model Extraction Attack from Counterfactual Explanations","date":"2022-05-13","arxiv_id":"2205.06504","repositories_listed":0,"syntology":null},{"url":null,"slug":"perspectives-on-incorporating-expert-feedback","title":"Perspectives on Incorporating Expert Feedback into Model Updates","date":"2022-05-13","arxiv_id":"2205.06905","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-model-based-safety-and-model-free","title":"Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models","date":"2022-05-11","arxiv_id":"2205.05787","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-integrated-debris-environment-assessment","title":"An integrated debris environment assessment model","date":"2022-05-10","arxiv_id":"2205.05205","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-probabilistic-generative-model-of-free","title":"A Probabilistic Generative Model of Free Categories","date":"2022-05-09","arxiv_id":"2205.04545","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-based-digital-twin-model-for-cattle-caring","title":"AI Based Digital Twin Model for Cattle Caring","date":"2022-05-09","arxiv_id":"2205.04034","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-neural-networks-for-propositional-model","title":"Graph Neural Networks for Propositional Model Counting","date":"2022-05-09","arxiv_id":"2205.04423","repositories_listed":0,"syntology":null},{"url":null,"slug":"posterior-collapse-of-a-linear-latent","title":"Posterior Collapse of a Linear Latent Variable Model","date":"2022-05-09","arxiv_id":"2205.04009","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-data-driven-decisions-under-model","title":"Robust Data-Driven Decisions Under Model Uncertainty","date":"2022-05-09","arxiv_id":"2205.04573","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-age-structured-epidemic-model-with","title":"An age-structured epidemic model with vaccination","date":"2022-05-08","arxiv_id":"2205.03912","repositories_listed":0,"syntology":null},{"url":null,"slug":"conceptdistil-model-agnostic-distillation-of","title":"ConceptDistil: Model-Agnostic Distillation of Concept Explanations","date":"2022-05-07","arxiv_id":"2205.03601","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-stochastic-climate-model-an-approach-to","title":"A Stochastic Climate Model -- An approach to calibrate the Climate-Extended Risk Model (CERM)","date":"2022-05-05","arxiv_id":"2205.02581","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-model-cards-a-human-centered","title":"Interactive Model Cards: A Human-Centered Approach to Model Documentation","date":"2022-05-05","arxiv_id":"2205.02894","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-of-financial-market-control","title":"A Model of Financial Market Control","date":"2022-05-03","arxiv_id":"2205.01260","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-intrinsic-entropy-model-for-exchange","title":"An Intrinsic Entropy Model for Exchange-Traded Securities","date":"2022-05-03","arxiv_id":"2205.01386","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-differential-privacy-for-language","title":"Adaptive Differential Privacy for Language Model Training","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"layoutbert-masked-language-layout-model-for","title":"LayoutBERT: Masked Language Layout Model for Object Insertion","date":"2022-04-30","arxiv_id":"2205.00347","repositories_listed":0,"syntology":null},{"url":null,"slug":"robbertje-a-distilled-dutch-bert-model","title":"RobBERTje: a Distilled Dutch BERT Model","date":"2022-04-28","arxiv_id":"2204.13511","repositories_listed":0,"syntology":null},{"url":null,"slug":"kyle-s-model-with-stochastic-liquidity","title":"Kyle's Model with Stochastic Liquidity","date":"2022-04-23","arxiv_id":"2204.11069","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-top-down-approach-to-hierarchically","title":"Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting","date":"2022-04-21","arxiv_id":"2204.10414","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-unintended-memorization-in-language","title":"Detecting Unintended Memorization in Language-Model-Fused ASR","date":"2022-04-20","arxiv_id":"2204.09606","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-learning-for-energy-limited","title":"Efficient Wireless Federated Learning with Partial Model Aggregation","date":"2022-04-20","arxiv_id":"2204.09746","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-checking-strategic-abilities-in","title":"Model Checking Strategic Abilities in Information-sharing Systems","date":"2022-04-19","arxiv_id":"2204.08896","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-dimensional-extensions-of-the","title":"Multi-dimensional extensions of the Hegselmann-Krause model","date":"2022-04-18","arxiv_id":"2204.08515","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-frequency-based-volatility-model-with","title":"High-Frequency-Based Volatility Model with Network Structure","date":"2022-04-14","arxiv_id":"2204.12933","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-measures-under-model-uncertainty-a","title":"Risk measures under model uncertainty: a Bayesian viewpoint","date":"2022-04-14","arxiv_id":"2204.07115","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-cascaded-encoder-asr-model-for","title":"A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes","date":"2022-04-13","arxiv_id":"2204.06164","repositories_listed":0,"syntology":null},{"url":null,"slug":"safe-stochastic-model-predictive-control","title":"Safe Stochastic Model Predictive Control","date":"2022-04-13","arxiv_id":"2204.06207","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-concurrent-switching-model-for-traffic","title":"A Concurrent Switching Model for Traffic Congestion Control","date":"2022-04-11","arxiv_id":"2204.05358","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-bigscience-multilingual-model-to","title":"Adapting BigScience Multilingual Model to Unseen Languages","date":"2022-04-11","arxiv_id":"2204.04873","repositories_listed":0,"syntology":null},{"url":"/paper/himode-a-hybrid-monocular-omnidirectional","slug":"himode-a-hybrid-monocular-omnidirectional","title":"HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model","date":"2022-04-11","arxiv_id":"2204.05007","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-machine-learning-model-evaluation","title":"Rethinking Machine Learning Model Evaluation in Pathology","date":"2022-04-11","arxiv_id":"2204.05205","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-exploitation-of-deepfake-model","title":"On the Exploitation of Deepfake Model Recognition","date":"2022-04-09","arxiv_id":"2204.04513","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-based-non-intrusive-model","title":"Active-learning-based non-intrusive Model Order Reduction","date":"2022-04-08","arxiv_id":"2204.08523","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-model-criticism-of-variational","title":"Statistical Model Criticism of Variational Auto-Encoders","date":"2022-04-06","arxiv_id":"2204.03030","repositories_listed":0,"syntology":null},{"url":null,"slug":"circuit-model-reduction-with-scaled-relative","title":"Circuit Model Reduction with Scaled Relative Graphs","date":"2022-04-04","arxiv_id":"2204.01434","repositories_listed":0,"syntology":null}],"record_sha256":"3c506189049b52d3a9210994bcf8a42244690268f572455c97f53bd2e69320bc","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}