{"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/31","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":31,"pages_in_order":55,"rows_per_page":100,"rows":[3001,3100],"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/30","next":"/task/model/papers/32","papers":[{"url":null,"slug":"robust-constrained-nonlinear-model-predictive","title":"Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model -- Extended version","date":"2023-07-19","arxiv_id":"2307.10069","repositories_listed":0,"syntology":null},{"url":null,"slug":"text2layer-layered-image-generation-using","title":"Text2Layer: Layered Image Generation using Latent Diffusion Model","date":"2023-07-19","arxiv_id":"2307.09781","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-kyle-s-equilibrium-model-stable","title":"Is Kyle's equilibrium model stable?","date":"2023-07-18","arxiv_id":"2307.09392","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-indefensible-attack-label-only-model","title":"Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model","date":"2023-07-17","arxiv_id":"2307.08424","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-action-model-acquisition-from","title":"Automated Action Model Acquisition from Narrative Texts","date":"2023-07-17","arxiv_id":"2307.10247","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-of-competitive-assortment-planning","title":"A Model of Competitive Assortment Planning Algorithm","date":"2023-07-16","arxiv_id":"2307.09479","repositories_listed":0,"syntology":null},{"url":null,"slug":"first-order-stable-model-semantics-with","title":"First-Order Stable Model Semantics with Intensional Functions","date":"2023-07-15","arxiv_id":"2307.10225","repositories_listed":0,"syntology":null},{"url":null,"slug":"dissenting-explanations-leveraging","title":"Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance","date":"2023-07-14","arxiv_id":"2307.07636","repositories_listed":0,"syntology":null},{"url":null,"slug":"mgit-a-model-versioning-and-management-system","title":"MGit: A Model Versioning and Management System","date":"2023-07-14","arxiv_id":"2307.07507","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-laplace-model-selection-revisited","title":"Online Laplace Model Selection Revisited","date":"2023-07-12","arxiv_id":"2307.06093","repositories_listed":0,"syntology":null},{"url":"/paper/model-card-and-evaluations-for-claude-models","slug":"model-card-and-evaluations-for-claude-models","title":"Model Card and Evaluations for Claude Models","date":"2023-07-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"my3dgen-building-lightweight-personalized-3d","title":"My3DGen: A Scalable Personalized 3D Generative Model","date":"2023-07-11","arxiv_id":"2307.05468","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-consistency-for-open-ended-generations","title":"Lightweight reranking for language model generations","date":"2023-07-11","arxiv_id":"2307.06857","repositories_listed":0,"syntology":null},{"url":null,"slug":"action-state-dependent-dynamic-model","title":"Action-State Dependent Dynamic Model Selection","date":"2023-07-07","arxiv_id":"2307.04754","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-ai-model-based-semantic-communications","title":"Large AI Model-Based Semantic Communications","date":"2023-07-07","arxiv_id":"2307.03492","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-the-deffuant-model-in-money","title":"Application of the Deffuant model in money exchange","date":"2023-07-05","arxiv_id":"2307.02512","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-job-recommendations-with-large","title":"Generative Job Recommendations with Large Language Model","date":"2023-07-05","arxiv_id":"2307.02157","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-neural-network-based-power-flow-model","title":"Graph Neural Network-based Power Flow Model","date":"2023-07-05","arxiv_id":"2307.02049","repositories_listed":0,"syntology":null},{"url":null,"slug":"asymptotics-for-the-generalized","title":"Asymptotics for the Generalized Autoregressive Conditional Duration Model","date":"2023-07-04","arxiv_id":"2307.01779","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-conditional-and-compositional-language","title":"On Conditional and Compositional Language Model Differentiable Prompting","date":"2023-07-04","arxiv_id":"2307.01446","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-guyon-lekeufack-volatility-model","title":"On the Guyon-Lekeufack Volatility Model","date":"2023-07-03","arxiv_id":"2307.01319","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-classical-model-of-speculative-asset-price","title":"A Classical Model of Speculative Asset Price Dynamics","date":"2023-07-01","arxiv_id":"2307.00410","repositories_listed":0,"syntology":null},{"url":null,"slug":"dataset-balancing-can-hurt-model-performance","title":"Dataset balancing can hurt model performance","date":"2023-06-30","arxiv_id":"2307.00079","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-phase-field-model-for-active-contractile","title":"A phase-field model for active contractile surfaces","date":"2023-06-29","arxiv_id":"2306.16796","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-large-language-model","title":"Benchmarking Large Language Model Capabilities for Conditional Generation","date":"2023-06-29","arxiv_id":"2306.16793","repositories_listed":0,"syntology":null},{"url":"/paper/diffusionstr-diffusion-model-for-scene-text","slug":"diffusionstr-diffusion-model-for-scene-text","title":"DiffusionSTR: Diffusion Model for Scene Text Recognition","date":"2023-06-29","arxiv_id":"2306.16707","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-resolution-model-learning-for-object","title":"Dynamic-Resolution Model Learning for Object Pile Manipulation","date":"2023-06-29","arxiv_id":"2306.16700","repositories_listed":0,"syntology":null},{"url":null,"slug":"mlsmm-machine-learning-security-maturity","title":"MLSMM: Machine Learning Security Maturity Model","date":"2023-06-28","arxiv_id":"2306.16127","repositories_listed":0,"syntology":null},{"url":"/paper/exploring-dual-model-knowledge-distillation","slug":"exploring-dual-model-knowledge-distillation","title":"Exploring Dual Model Knowledge Distillation for Anomaly Detection","date":"2023-06-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-model-inversion-attacks-with","title":"Boosting Model Inversion Attacks with Adversarial Examples","date":"2023-06-24","arxiv_id":"2306.13965","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-model-selection-for-predictive","title":"Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning","date":"2023-06-23","arxiv_id":"2306.13561","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learners-are-incremental-model","title":"Continual Learners are Incremental Model Generalizers","date":"2023-06-21","arxiv_id":"2306.12026","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-skill-task-matching-model-mechanism-model","title":"The Skill-Task Matching Model: Mechanism, Model Structure, and Algorithm","date":"2023-06-21","arxiv_id":"2306.12176","repositories_listed":0,"syntology":null},{"url":null,"slug":"segment-anything-model-sam-for-radiation","title":"Segment Anything Model (SAM) for Radiation Oncology","date":"2023-06-20","arxiv_id":"2306.11730","repositories_listed":0,"syntology":null},{"url":null,"slug":"least-square-value-iteration-is-robust-under","title":"On the Model-Misspecification in Reinforcement Learning","date":"2023-06-19","arxiv_id":"2306.10694","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-few-shot-learning-via-language","title":"Multilingual Few-Shot Learning via Language Model Retrieval","date":"2023-06-19","arxiv_id":"2306.10964","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-harmonization-with-diffusion-model","title":"Image Harmonization with Diffusion Model","date":"2023-06-17","arxiv_id":"2306.10441","repositories_listed":0,"syntology":null},{"url":null,"slug":"catastrophic-forgetting-in-the-context-of","title":"Catastrophic Forgetting in the Context of Model Updates","date":"2023-06-16","arxiv_id":"2306.10181","repositories_listed":0,"syntology":null},{"url":null,"slug":"m3pt-a-multi-modal-model-for-poi-tagging","title":"M3PT: A Multi-Modal Model for POI Tagging","date":"2023-06-16","arxiv_id":"2306.10079","repositories_listed":0,"syntology":null},{"url":null,"slug":"survival-of-the-flattest-in-the-quasispecies","title":"Survival of the flattest in the quasispecies model","date":"2023-06-15","arxiv_id":"2306.09221","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffudetox-a-mixed-diffusion-model-for-text","title":"DiffuDetox: A Mixed Diffusion Model for Text Detoxification","date":"2023-06-14","arxiv_id":"2306.08505","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-versus-model-free-feeding-control","title":"Model-based versus model-free feeding control and water quality monitoring for fish growth tracking in aquaculture systems","date":"2023-06-14","arxiv_id":"2306.09915","repositories_listed":0,"syntology":null},{"url":null,"slug":"radiology-gpt-a-large-language-model-for","title":"Radiology-GPT: A Large Language Model for Radiology","date":"2023-06-14","arxiv_id":"2306.08666","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-market-risk-hedging-using-crowding","title":"Model-Free Market Risk Hedging Using Crowding Networks","date":"2023-06-13","arxiv_id":"2306.08105","repositories_listed":0,"syntology":null},{"url":null,"slug":"soft-language-clustering-for-multilingual","title":"Soft Language Clustering for Multilingual Model Pre-training","date":"2023-06-13","arxiv_id":"2306.07610","repositories_listed":0,"syntology":null},{"url":null,"slug":"personality-trait-classification-using-cnn","title":"Personality Trait Classification Using CNN-LSTM Model","date":"2023-06-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robertweet-a-bert-language-model-for-romanian","title":"RoBERTweet: A BERT Language Model for Romanian Tweets","date":"2023-06-11","arxiv_id":"2306.06598","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-model-and-dimension-for-interactive","title":"A Unified Model and Dimension for Interactive Estimation","date":"2023-06-09","arxiv_id":"2306.06184","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-language-model-integration-for","title":"Improving Language Model Integration for Neural Machine Translation","date":"2023-06-08","arxiv_id":"2306.05077","repositories_listed":0,"syntology":null},{"url":null,"slug":"bachelier-s-market-model-for-esg-asset","title":"Bachelier's Market Model for ESG Asset Pricing","date":"2023-06-07","arxiv_id":"2306.04158","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-policy-as-self-model-for-planning","title":"Dual policy as self-model for planning","date":"2023-06-07","arxiv_id":"2306.04440","repositories_listed":0,"syntology":null},{"url":null,"slug":"phoenix-a-federated-generative-diffusion","title":"Phoenix: A Federated Generative Diffusion Model","date":"2023-06-07","arxiv_id":"2306.04098","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-robust-likelihood-model-for-novelty","title":"A Robust Likelihood Model for Novelty Detection","date":"2023-06-06","arxiv_id":"2306.03331","repositories_listed":0,"syntology":null},{"url":null,"slug":"legonet-alternating-model-blocks-for-medical","title":"Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans","date":"2023-06-06","arxiv_id":"2306.03494","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-regret-balancing-for-online-model","title":"Data-Driven Online Model Selection With Regret Guarantees","date":"2023-06-05","arxiv_id":"2306.02869","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-conditional-generative-chatbot-using","title":"A Conditional Generative Chatbot using Transformer Model","date":"2023-06-03","arxiv_id":"2306.02074","repositories_listed":0,"syntology":null},{"url":null,"slug":"modularity-based-linkage-model-for","title":"Modularity based linkage model for neuroevolution","date":"2023-06-02","arxiv_id":"2306.01227","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-bilaterians-as-model-systems-for-tissue","title":"Non-bilaterians as Model Systems for Tissue Mechanics","date":"2023-06-02","arxiv_id":"2306.01935","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-deep-learning-model-uncertainty","title":"Quantifying Deep Learning Model Uncertainty in Conformal Prediction","date":"2023-06-01","arxiv_id":"2306.00876","repositories_listed":0,"syntology":null},{"url":null,"slug":"topex-topic-based-explanations-for-model","title":"TopEx: Topic-based Explanations for Model Comparison","date":"2023-06-01","arxiv_id":"2306.00976","repositories_listed":0,"syntology":null},{"url":null,"slug":"undiff-unsupervised-voice-restoration-with","title":"UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model","date":"2023-06-01","arxiv_id":"2306.00721","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-model-does-muzero-learn","title":"What model does MuZero learn?","date":"2023-06-01","arxiv_id":"2306.00840","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-generalizability-of-a","title":"Assessing the Generalizability of a Performance Predictive Model","date":"2023-05-31","arxiv_id":"2306.00040","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-model-predictive-control-with-1","title":"Stochastic Model Predictive Control with Dynamic Chance Constraints","date":"2023-05-30","arxiv_id":"2305.19262","repositories_listed":0,"syntology":null},{"url":null,"slug":"umd-unsupervised-model-detection-for-x2x","title":"UMD: Unsupervised Model Detection for X2X Backdoor Attacks","date":"2023-05-29","arxiv_id":"2305.18651","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-large-language-model-translators","title":"Augmenting Large Language Model Translators via Translation Memories","date":"2023-05-27","arxiv_id":"2305.17367","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-nonstochastic-model-free-reinforcement","title":"Online Nonstochastic Model-Free Reinforcement Learning","date":"2023-05-27","arxiv_id":"2305.17552","repositories_listed":0,"syntology":null},{"url":null,"slug":"external-language-model-integration-for","title":"External Language Model Integration for Factorized Neural Transducers","date":"2023-05-26","arxiv_id":"2305.17304","repositories_listed":0,"syntology":null},{"url":null,"slug":"green-runner-a-tool-for-efficient-model","title":"Green Runner: A tool for efficient model selection from model repositories","date":"2023-05-26","arxiv_id":"2305.16849","repositories_listed":0,"syntology":null},{"url":null,"slug":"impossible-distillation-from-low-quality","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing","date":"2023-05-26","arxiv_id":"2305.16635","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-score-based-model-for-learning-neural","title":"A Score-Based Model for Learning Neural Wavefunctions","date":"2023-05-25","arxiv_id":"2305.16540","repositories_listed":0,"syntology":null},{"url":null,"slug":"2305-14712","title":"On the Generalization of Diffusion Model","date":"2023-05-24","arxiv_id":"2305.14712","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-evaluation-for-extreme-risks","title":"Model evaluation for extreme risks","date":"2023-05-24","arxiv_id":"2305.15324","repositories_listed":0,"syntology":null},{"url":null,"slug":"purr-efficiently-editing-language-model","title":"PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions","date":"2023-05-24","arxiv_id":"2305.14908","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-self-improvement-by","title":"Language Model Self-improvement by Reinforcement Learning Contemplation","date":"2023-05-23","arxiv_id":"2305.14483","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-stealing-attack-against-multi-exit","title":"A Model Stealing Attack Against Multi-Exit Networks","date":"2023-05-23","arxiv_id":"2305.13584","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-priors-predict-text-to-image-model","title":"Training Priors Predict Text-To-Image Model Performance","date":"2023-05-23","arxiv_id":"2306.01755","repositories_listed":0,"syntology":null},{"url":null,"slug":"2305-14383","title":"A Rational Model of Dimension-reduced Human Categorization","date":"2023-05-22","arxiv_id":"2305.14383","repositories_listed":0,"syntology":null},{"url":null,"slug":"mantle-model-agnostic-natural-language","title":"MaNtLE: Model-agnostic Natural Language Explainer","date":"2023-05-22","arxiv_id":"2305.12995","repositories_listed":0,"syntology":null},{"url":null,"slug":"multirotor-ensemble-model-predictive-control","title":"Multirotor Ensemble Model Predictive Control I: Simulation Experiments","date":"2023-05-22","arxiv_id":"2305.12625","repositories_listed":0,"syntology":null},{"url":"/paper/multi-head-state-space-model-for-speech","slug":"multi-head-state-space-model-for-speech","title":"Multi-Head State Space Model for Speech Recognition","date":"2023-05-21","arxiv_id":"2305.12498","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-model-expansion-in-an-observable","title":"Interactive Model Expansion in an Observable Environment","date":"2023-05-20","arxiv_id":"2305.17140","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-debiasing-via-gradient-based","title":"Model Debiasing via Gradient-based Explanation on Representation","date":"2023-05-20","arxiv_id":"2305.12178","repositories_listed":0,"syntology":null},{"url":"/paper/patton-language-model-pretraining-on-text","slug":"patton-language-model-pretraining-on-text","title":"Patton: Language Model Pretraining on Text-Rich Networks","date":"2023-05-20","arxiv_id":"2305.12268","repositories_listed":0,"syntology":{"n":8,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/patton-language-model-pretraining-on-text#ran","syntology_url":"https://syntology.ai/paper/2305.12268","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.12268"}},"official":null}},{"url":null,"slug":"a-generalist-dynamics-model-for-control","title":"A Generalist Dynamics Model for Control","date":"2023-05-18","arxiv_id":"2305.10912","repositories_listed":0,"syntology":null},{"url":null,"slug":"option-pricing-under-jump-diffusion-model","title":"Option pricing under jump diffusion model","date":"2023-05-18","arxiv_id":"2305.10678","repositories_listed":0,"syntology":null},{"url":null,"slug":"lpmm-intuitive-pose-control-for-neural","title":"LPMM: Intuitive Pose Control for Neural Talking-Head Model via Landmark-Parameter Morphable Model","date":"2023-05-17","arxiv_id":"2305.10456","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-robust-average-reward","title":"Model-Free Robust Average-Reward Reinforcement Learning","date":"2023-05-17","arxiv_id":"2305.10504","repositories_listed":0,"syntology":null},{"url":null,"slug":"counterfactual-outcome-prediction-using","title":"Counterfactual Outcome Prediction using Structured State Space Model","date":"2023-05-16","arxiv_id":"2305.09207","repositories_listed":0,"syntology":null},{"url":null,"slug":"fitme-deep-photorealistic-3d-morphable-model","title":"FitMe: Deep Photorealistic 3D Morphable Model Avatars","date":"2023-05-16","arxiv_id":"2305.09641","repositories_listed":0,"syntology":null},{"url":null,"slug":"label-smoothing-is-robustification-against","title":"Label Smoothing is Robustification against Model Misspecification","date":"2023-05-15","arxiv_id":"2305.08501","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-segment-anything-model-sam-vision","title":"A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering","date":"2023-05-12","arxiv_id":"2306.06211","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-life-extension-for-continuous-process","title":"Model life extension for continuous process: Non-invasive correction of model-plant mismatch with regularization","date":"2023-05-12","arxiv_id":"2305.07317","repositories_listed":0,"syntology":null},{"url":null,"slug":"pixel-wise-rational-model-for-structured","title":"Pixel-wise rational model for structured light system","date":"2023-05-11","arxiv_id":"2305.07128","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-guided-high-definition-consistency","title":"Text-guided High-definition Consistency Texture Model","date":"2023-05-10","arxiv_id":"2305.05901","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-programs","title":"Large Language Model Programs","date":"2023-05-09","arxiv_id":"2305.05364","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffbfr-bootstrapping-diffusion-model-towards","title":"DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration","date":"2023-05-08","arxiv_id":"2305.04517","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-world-denoising-via-diffusion-model","title":"Real-World Denoising via Diffusion Model","date":"2023-05-08","arxiv_id":"2305.04457","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-contrastive-federated-domain-adaptation","title":"Model-Contrastive Federated Domain Adaptation","date":"2023-05-07","arxiv_id":"2305.10432","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-offline-model-based-reinforcement","title":"A Survey on Offline Model-Based Reinforcement Learning","date":"2023-05-05","arxiv_id":"2305.03360","repositories_listed":0,"syntology":null}],"record_sha256":"aa82a4b7199af2eb87463459b4b3da36ca78432ffe5d3fc3019d4cd76cb9f44d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}