{"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/survey/papers/34","list_of":"/task/survey","task":"Survey","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":34,"pages_in_order":41,"rows_per_page":100,"rows":[3301,3400],"of":4084,"counts":{"archive_papers_tagged":4084,"with_a_code_link":877,"where_syntology_ran_a_sample":71,"not_listed_spam_title":0,"listed":4084,"listed_where_code_ran":71,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":61,"every_run_a_failure_of_syntologys_instrument":10,"listed_with_a_run_with_no_instrument_failure":61,"listed_every_run_a_failure_of_syntologys_instrument":10,"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/survey","prev":"/task/survey/papers/33","next":"/task/survey/papers/35","papers":[{"url":null,"slug":"a-survey-on-deep-learning-techniques-for-1","title":"A Survey on Deep Learning Techniques for Video Anomaly Detection","date":"2020-09-29","arxiv_id":"2009.14146","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-semantic-parsing-from-the","title":"A Survey on Semantic Parsing from the perspective of Compositionality","date":"2020-09-29","arxiv_id":"2009.14116","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-arabic-dialect-identification","title":"Automatic Arabic Dialect Identification Systems for Written Texts: A Survey","date":"2020-09-26","arxiv_id":"2009.12622","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-for-uav-based-networks","title":"Artificial Intelligence for UAV-enabled Wireless Networks: A Survey","date":"2020-09-24","arxiv_id":"2009.11522","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-survey-of-the-tactile","title":"A Comprehensive Survey of the Tactile Internet: State of the art and Research Directions","date":"2020-09-22","arxiv_id":"2009.12164","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-machine-learning-applied-to","title":"A Survey on Machine Learning Applied to Dynamic Physical Systems","date":"2020-09-21","arxiv_id":"2009.09719","repositories_listed":0,"syntology":null},{"url":null,"slug":"recent-developments-on-factor-models-and-its","title":"Recent Developments on Factor Models and its Applications in Econometric Learning","date":"2020-09-21","arxiv_id":"2009.10103","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-combinatorial-optimization-for-dominating","title":"On combinatorial optimization for dominating sets (literature survey, new models)","date":"2020-09-19","arxiv_id":"2009.09288","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-memes-classification-a-survey","title":"A Multimodal Memes Classification: A Survey and Open Research Issues","date":"2020-09-17","arxiv_id":"2009.08395","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-deep-reinforcement","title":"Transfer Learning in Deep Reinforcement Learning: A Survey","date":"2020-09-16","arxiv_id":"2009.07888","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-transformers-a-survey","title":"Efficient Transformers: A Survey","date":"2020-09-14","arxiv_id":"2009.06732","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-fpga-based-robotic-computing","title":"A Survey of FPGA-Based Robotic Computing","date":"2020-09-13","arxiv_id":"2009.06034","repositories_listed":0,"syntology":null},{"url":null,"slug":"receptivity-of-an-ai-cognitive-assistant-by","title":"Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA","date":"2020-09-13","arxiv_id":"2009.06082","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-with-deep-neural-networks","title":"Multi-Task Learning with Deep Neural Networks: A Survey","date":"2020-09-10","arxiv_id":"2009.09796","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-data-pricing-from-economics-to","title":"A Survey on Data Pricing: from Economics to Data Science","date":"2020-09-09","arxiv_id":"2009.04462","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-very-few-samples-a-survey","title":"A Survey on Machine Learning from Few Samples","date":"2020-09-06","arxiv_id":"2009.02653","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-deep-learning-architectures-for","title":"A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces","date":"2020-09-05","arxiv_id":"2009.02540","repositories_listed":0,"syntology":null},{"url":null,"slug":"communication-and-networking-technologies-for","title":"Communication and networking technologies for UAVs: A survey","date":"2020-09-02","arxiv_id":"2009.02280","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-image-quality-assessment-a-literature","title":"Face Image Quality Assessment: A Literature Survey","date":"2020-09-02","arxiv_id":"2009.01103","repositories_listed":0,"syntology":null},{"url":null,"slug":"latency-and-throughput-optimization-in-modern","title":"Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey","date":"2020-09-01","arxiv_id":"2009.03715","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-machine-learning-accelerators","title":"Survey of Machine Learning Accelerators","date":"2020-09-01","arxiv_id":"2009.00993","repositories_listed":0,"syntology":null},{"url":null,"slug":"wireless-for-machine-learning","title":"Wireless for Machine Learning","date":"2020-08-31","arxiv_id":"2008.13492","repositories_listed":0,"syntology":null},{"url":null,"slug":"short-term-traffic-prediction-with-deep","title":"Short-term Traffic Prediction with Deep Neural Networks: A Survey","date":"2020-08-28","arxiv_id":"2009.00712","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-evaluation-metrics-used-for-nlg","title":"A Survey of Evaluation Metrics Used for NLG Systems","date":"2020-08-27","arxiv_id":"2008.12009","repositories_listed":0,"syntology":null},{"url":null,"slug":"vehicle-telematics-via-exteroceptive-sensors","title":"Vehicle Telematics Via Exteroceptive Sensors: A Survey","date":"2020-08-27","arxiv_id":"2008.12632","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-evolutionary-neural-architecture","title":"A Survey on Evolutionary Neural Architecture Search","date":"2020-08-25","arxiv_id":"2008.10937","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-on-lyme-disease-patient","title":"Feature Selection on Lyme Disease Patient Survey Data","date":"2020-08-24","arxiv_id":"2009.09087","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-text-simplification","title":"A Survey on Text Simplification","date":"2020-08-19","arxiv_id":"2008.08612","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-radio-signal-processing-a","title":"Intelligent Radio Signal Processing: A Survey","date":"2020-08-19","arxiv_id":"2008.08264","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-adversarial-networks-for-spatio","title":"Generative Adversarial Networks for Spatio-temporal Data: A Survey","date":"2020-08-18","arxiv_id":"2008.08903","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-reinforcement-learning-for","title":"A Survey on Reinforcement Learning for Combinatorial Optimization","date":"2020-08-17","arxiv_id":"2008.12248","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-foundations-of-data-reduction","title":"Survey: Geometric Foundations of Data Reduction","date":"2020-08-16","arxiv_id":"2008.06853","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-xai-in-digital-pathology","title":"Survey of XAI in digital pathology","date":"2020-08-14","arxiv_id":"2008.06353","repositories_listed":0,"syntology":null},{"url":null,"slug":"compression-of-deep-learning-models-for-text","title":"Compression of Deep Learning Models for Text: A Survey","date":"2020-08-12","arxiv_id":"2008.05221","repositories_listed":0,"syntology":null},{"url":null,"slug":"scientific-paper-recommendation-a-survey","title":"Scientific Paper Recommendation: A Survey","date":"2020-08-10","arxiv_id":"2008.13538","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-networks-a-survey","title":"Big Networks: A Survey","date":"2020-08-09","arxiv_id":"2008.03638","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-examples-on-object-recognition-a","title":"Adversarial Examples on Object Recognition: A Comprehensive Survey","date":"2020-08-07","arxiv_id":"2008.04094","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-orthographic-information-in","title":"A Survey of Orthographic Information in Machine Translation","date":"2020-08-04","arxiv_id":"2008.01391","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-the-evolution-of-stream","title":"A Survey on the Evolution of Stream Processing Systems","date":"2020-08-03","arxiv_id":"2008.00842","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-deep-learning-in-medical-imaging","title":"A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises","date":"2020-08-02","arxiv_id":"2008.09104","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-concept-factorization-from","title":"A Survey on Concept Factorization: From Shallow to Deep Representation Learning","date":"2020-07-31","arxiv_id":"2007.15840","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-language-generation-formulation","title":"Neural Language Generation: Formulation, Methods, and Evaluation","date":"2020-07-31","arxiv_id":"2007.15780","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-few-samples-a-survey","title":"Learning from Few Samples: A Survey","date":"2020-07-30","arxiv_id":"2007.15484","repositories_listed":0,"syntology":null},{"url":null,"slug":"healthcare-utilization-and-perceived-health","title":"Healthcare Utilization and Perceived Health Status from Falun Gong Practitioners in Taiwan: A Pilot SF-36 Survey","date":"2020-07-29","arxiv_id":"2007.14926","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-minimum-description-length-principle-for","title":"The Minimum Description Length Principle for Pattern Mining: A Survey","date":"2020-07-28","arxiv_id":"2007.14009","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-robotic-process-automation-to","title":"From Robotic Process Automation to Intelligent Process Automation: Emerging Trends","date":"2020-07-27","arxiv_id":"2007.13257","repositories_listed":0,"syntology":null},{"url":null,"slug":"ieee-802-11be-wi-fi-7-new-challenges-and","title":"IEEE 802.11be-Wi-Fi 7: New Challenges and Opportunities","date":"2020-07-27","arxiv_id":"2007.13401","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-super-resolution-based-on-deep-learning","title":"Video Super Resolution Based on Deep Learning: A Comprehensive Survey","date":"2020-07-25","arxiv_id":"2007.12928","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-extensive-survey-on-the-internet-of-drones","title":"An Extensive Survey on the Internet of Drones","date":"2020-07-24","arxiv_id":"2007.12611","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferring-incubation-period-distribution-of","title":"Inferring incubation period distribution of COVID-19 based on SEAIR Model","date":"2020-07-22","arxiv_id":"2007.11183","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-overview-of-natural-language-state","title":"An Overview of Natural Language State Representation for Reinforcement Learning","date":"2020-07-19","arxiv_id":"2007.09774","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-prediction-in-big-data-era-a-systematic","title":"Event Prediction in the Big Data Era: A Systematic Survey","date":"2020-07-19","arxiv_id":"2007.09815","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-learning-for-few-shot-natural-language","title":"Meta-learning for Few-shot Natural Language Processing: A Survey","date":"2020-07-19","arxiv_id":"2007.09604","repositories_listed":0,"syntology":null},{"url":null,"slug":"referring-expression-comprehension-a-survey","title":"Referring Expression Comprehension: A Survey of Methods and Datasets","date":"2020-07-19","arxiv_id":"2007.09554","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-on-deep-learning-based-kuzushiji","title":"Survey on Deep Learning-based Kuzushiji Recognition","date":"2020-07-19","arxiv_id":"2007.09637","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-in-deep-learning-and","title":"Knowledge Distillation in Deep Learning and its Applications","date":"2020-07-17","arxiv_id":"2007.09029","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-computational-propaganda","title":"A Survey on Computational Propaganda Detection","date":"2020-07-15","arxiv_id":"2007.08024","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-survey-on-treatment-effect","title":"A unified survey of treatment effect heterogeneity modeling and uplift modeling","date":"2020-07-14","arxiv_id":"2007.12769","repositories_listed":0,"syntology":null},{"url":null,"slug":"questionnaire-analysis-to-define-the-most","title":"Questionnaire analysis to define the most suitable survey for port-noise investigation","date":"2020-07-14","arxiv_id":"2007.06915","repositories_listed":0,"syntology":null},{"url":null,"slug":"recommender-systems-for-the-internet-of","title":"Recommender Systems for the Internet of Things: A Survey","date":"2020-07-14","arxiv_id":"2007.06758","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-quantum-theory-inspired","title":"A Survey of Quantum Theory Inspired Approaches to Information Retrieval","date":"2020-07-08","arxiv_id":"2007.04357","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-real-time-social-based-traffic","title":"A Survey of Real-Time Social-Based Traffic Detection","date":"2020-07-07","arxiv_id":"2007.04100","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconfigurable-intelligent-surfaces","title":"Reconfigurable Intelligent Surfaces: Principles and Opportunities","date":"2020-07-07","arxiv_id":"2007.03435","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-applications-of-artificial","title":"A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19","date":"2020-07-04","arxiv_id":"2007.02202","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-sensor-technologies-for-unmanned","title":"A Survey on Sensor Technologies for Unmanned Ground Vehicles","date":"2020-07-04","arxiv_id":"2007.01992","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-target-recognition-on-synthetic","title":"Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey","date":"2020-07-04","arxiv_id":"2007.02106","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-scene-recognition-from","title":"Deep learning for scene recognition from visual data: a survey","date":"2020-07-03","arxiv_id":"2007.01806","repositories_listed":0,"syntology":null},{"url":null,"slug":"computational-methods-for-cancer-driver","title":"Computational methods for cancer driver discovery: A survey","date":"2020-07-02","arxiv_id":"2007.00887","repositories_listed":0,"syntology":null},{"url":null,"slug":"opportunities-and-challenges-in-deep-learning-1","title":"Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey","date":"2020-07-01","arxiv_id":"2007.00753","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-deep-neural-networks-with","title":"Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey","date":"2020-06-30","arxiv_id":"2006.16867","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-reinforcement-learning-a-survey","title":"Model-based Reinforcement Learning: A Survey","date":"2020-06-30","arxiv_id":"2006.16712","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-instance-segmentation-state-of","title":"A Survey on Instance Segmentation: State of the art","date":"2020-06-28","arxiv_id":"2007.00047","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-text-generation-a-survey","title":"Evaluation of Text Generation: A Survey","date":"2020-06-26","arxiv_id":"2006.14799","repositories_listed":0,"syntology":null},{"url":null,"slug":"coverage-path-planning-with-track-spacing","title":"Coverage Path Planning with Track Spacing Adaptation for Autonomous Underwater Vehicles","date":"2020-06-23","arxiv_id":"2006.12896","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-relation-extraction-a-survey","title":"Neural relation extraction: a survey","date":"2020-06-23","arxiv_id":"2007.04247","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-neural-networks-an-introduction-and","title":"Bayesian Neural Networks: An Introduction and Survey","date":"2020-06-22","arxiv_id":"2006.12024","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-with-quantum-machine-learning","title":"Classification with Quantum Machine Learning: A Survey","date":"2020-06-22","arxiv_id":"2006.12270","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiable-rendering-a-survey","title":"Differentiable Rendering: A Survey","date":"2020-06-22","arxiv_id":"2006.12057","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-face-recognition-techniques-under","title":"A survey of face recognition techniques under occlusion","date":"2020-06-19","arxiv_id":"2006.11366","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-musical-intelligence-a-survey","title":"Artificial Musical Intelligence: A Survey","date":"2020-06-17","arxiv_id":"2006.10553","repositories_listed":0,"syntology":null},{"url":null,"slug":"opportunities-and-challenges-in-explainable","title":"Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey","date":"2020-06-16","arxiv_id":"2006.11371","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-machine-learning-methods-and","title":"A Survey of Machine Learning Methods and Challenges for Windows Malware Classification","date":"2020-06-15","arxiv_id":"2006.09271","repositories_listed":0,"syntology":null},{"url":null,"slug":"public-willingness-to-get-vaccinated-against","title":"COVID-19 Vaccine Acceptance in the US and UK in the Early Phase of the Pandemic: AI-Generated Vaccines Hesitancy for Minors, and the Role of Governments","date":"2020-06-15","arxiv_id":"2006.08164","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-learning-generative-or","title":"Self-supervised Learning: Generative or Contrastive","date":"2020-06-15","arxiv_id":"2006.08218","repositories_listed":0,"syntology":null},{"url":null,"slug":"surveys-without-questions-a-reinforcement","title":"Surveys without Questions: A Reinforcement Learning Approach","date":"2020-06-11","arxiv_id":"2006.06323","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-deep-hashing-for-image-retrieval","title":"A survey on deep hashing for image retrieval","date":"2020-06-10","arxiv_id":"2006.05627","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-generative-adversarial-networks","title":"A Survey on Generative Adversarial Networks: Variants, Applications, and Training","date":"2020-06-09","arxiv_id":"2006.05132","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-a-survey","title":"Knowledge Distillation: A Survey","date":"2020-06-09","arxiv_id":"2006.05525","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuroevolution-in-deep-neural-networks","title":"Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges","date":"2020-06-09","arxiv_id":"2006.05415","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-survey-on-aspect-based","title":"A Comprehensive Survey on Aspect Based Sentiment Analysis","date":"2020-06-08","arxiv_id":"2006.04611","repositories_listed":0,"syntology":null},{"url":null,"slug":"finger-texture-biometric-characteristic-a","title":"Finger Texture Biometric Characteristic: a Survey","date":"2020-06-07","arxiv_id":"2006.04193","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-neural-networks-and-formal","title":"A Survey of Neural Networks and Formal Languages","date":"2020-06-02","arxiv_id":"2006.01338","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-survey-of-neural-architecture","title":"A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions","date":"2020-06-01","arxiv_id":"2006.02903","repositories_listed":0,"syntology":null},{"url":null,"slug":"apply-lean-thinking-with-industrial","title":"Apply Lean Thinking With Industrial Experience To Professors' Careers Opinion And Survey","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"changes-in-household-net-financial-assets","title":"Changes in Household Net Financial Assets After the Great Recession: Did Financial Planners Make a Difference?","date":"2020-06-01","arxiv_id":"2006.00949","repositories_listed":0,"syntology":null},{"url":null,"slug":"review-on-3d-lidar-localization-for","title":"A Survey on 3D LiDAR Localization for Autonomous Vehicles","date":"2020-06-01","arxiv_id":"2006.00648","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-transfer-learning-in-natural","title":"A Survey on Transfer Learning in Natural Language Processing","date":"2020-05-31","arxiv_id":"2007.04239","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-entity-linking-a-survey-of-models","title":"Neural Entity Linking: A Survey of Models Based on Deep Learning","date":"2020-05-31","arxiv_id":"2006.00575","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-systems-for-smart-services","title":"Machine Learning Systems for Intelligent Services in the IoT: A Survey","date":"2020-05-29","arxiv_id":"2006.04950","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-attacks-and-defense-on-textual","title":"Adversarial Attacks and Defense on Texts: A Survey","date":"2020-05-28","arxiv_id":"2005.14108","repositories_listed":0,"syntology":null}],"record_sha256":"fdd5eb4c899b17a5cb06310ebf785073fcf958eded1e717124a3cbbf9a2a69c3","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}