{"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/attribute/papers/35","list_of":"/task/attribute","task":"Attribute","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":54,"rows_per_page":100,"rows":[3401,3500],"of":5387,"counts":{"archive_papers_tagged":5387,"with_a_code_link":1923,"where_syntology_ran_a_sample":475,"not_listed_spam_title":0,"listed":5387,"listed_where_code_ran":475,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":387,"every_run_a_failure_of_syntologys_instrument":88,"listed_with_a_run_with_no_instrument_failure":387,"listed_every_run_a_failure_of_syntologys_instrument":88,"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/attribute","prev":"/task/attribute/papers/34","next":"/task/attribute/papers/36","papers":[{"url":null,"slug":"gan-based-facial-attribute-manipulation","title":"GAN-based Facial Attribute Manipulation","date":"2022-10-23","arxiv_id":"2210.12683","repositories_listed":0,"syntology":null},{"url":null,"slug":"counterfactual-generation-under-confounding","title":"Counterfactual Generation Under Confounding","date":"2022-10-22","arxiv_id":"2210.12368","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-devil-is-in-the-conflict-disentangled","title":"The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection","date":"2022-10-22","arxiv_id":"2210.12384","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-does-a-deep-learning-model-architecture","title":"How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers","date":"2022-10-20","arxiv_id":"2210.11049","repositories_listed":0,"syntology":null},{"url":null,"slug":"attribution-and-obfuscation-of-neural-text","title":"Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective","date":"2022-10-19","arxiv_id":"2210.10488","repositories_listed":0,"syntology":null},{"url":null,"slug":"centre-a-paragraph-level-chinese-dataset-for","title":"CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises","date":"2022-10-19","arxiv_id":"2210.10581","repositories_listed":0,"syntology":null},{"url":null,"slug":"mass-multi-attribute-selective-suppression","title":"MaSS: Multi-attribute Selective Suppression","date":"2022-10-18","arxiv_id":"2210.09904","repositories_listed":0,"syntology":null},{"url":null,"slug":"robot-learning-theory-of-mind-through-self","title":"Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy","date":"2022-10-17","arxiv_id":"2210.09435","repositories_listed":0,"syntology":null},{"url":null,"slug":"answer-ranking-in-community-question","title":"Answer ranking in Community Question Answering: a deep learning approach","date":"2022-10-16","arxiv_id":"2212.01218","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-effect-attribution-in-parallel-online","title":"Fair Effect Attribution in Parallel Online Experiments","date":"2022-10-15","arxiv_id":"2210.08338","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-estimation-and-filtered-prediction-for","title":"Motion estimation and filtered prediction for dynamic point cloud attribute compression","date":"2022-10-15","arxiv_id":"2210.08262","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-qboost-an-iteratively-weighted-adiabatic","title":"$α$QBoost: An Iteratively Weighted Adiabatic Trained Classifier","date":"2022-10-14","arxiv_id":"2210.07984","repositories_listed":0,"syntology":null},{"url":null,"slug":"interfair-debiasing-with-natural-language","title":"InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions","date":"2022-10-14","arxiv_id":"2210.07440","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-speech-synthesizer","title":"Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario","date":"2022-10-14","arxiv_id":"2210.07546","repositories_listed":0,"syntology":null},{"url":null,"slug":"adv-attribute-inconspicuous-and-transferable","title":"Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition","date":"2022-10-13","arxiv_id":"2210.06871","repositories_listed":0,"syntology":null},{"url":null,"slug":"de-fake-detection-and-attribution-of-fake","title":"DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models","date":"2022-10-13","arxiv_id":"2210.06998","repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-and-cross-cultural-adaptation","title":"Translation and cross-cultural adaptation methodology for soundscape attributes – A study with independent translation groups from English to Greek","date":"2022-10-13","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-via-adversarial-attribute","title":"Fairness via Adversarial Attribute Neighbourhood Robust Learning","date":"2022-10-12","arxiv_id":"2210.06630","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-off-the-shelf-diffusion-model-for","title":"Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation","date":"2022-10-12","arxiv_id":"2210.05872","repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-the-global-semantic-representation-in","title":"Finding the global semantic representation in GAN through Frechet Mean","date":"2022-10-11","arxiv_id":"2210.05509","repositories_listed":0,"syntology":null},{"url":null,"slug":"social-group-agnostic-word-embedding","title":"Social-Group-Agnostic Word Embedding Debiasing via the Stereotype Content Model","date":"2022-10-11","arxiv_id":"2210.05831","repositories_listed":0,"syntology":null},{"url":null,"slug":"visually-similar-products-retrieval-for","title":"Visually Similar Products Retrieval for Shopsy","date":"2022-10-10","arxiv_id":"2210.04560","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-social-biases-using-templates-is","title":"Quantifying Social Biases Using Templates is Unreliable","date":"2022-10-09","arxiv_id":"2210.04337","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantitative-metrics-for-evaluating","title":"Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors","date":"2022-10-07","arxiv_id":"2210.03683","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-emerging-technologies-in-artificial","title":"Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model","date":"2022-10-06","arxiv_id":"2211.01348","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-improving-controllability-for-text","title":"FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training","date":"2022-10-06","arxiv_id":"2210.03167","repositories_listed":0,"syntology":null},{"url":null,"slug":"representing-missing-values-through-polar","title":"Polar Encoding: A Simple Baseline Approach for Classification with Missing Values","date":"2022-10-04","arxiv_id":"2210.01905","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-self-healing-prediction-model-for-high","title":"Robust self-healing prediction model for high dimensional data","date":"2022-10-04","arxiv_id":"2210.01788","repositories_listed":0,"syntology":null},{"url":null,"slug":"citation-trajectory-prediction-via","title":"Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph","date":"2022-10-02","arxiv_id":"2210.00450","repositories_listed":0,"syntology":null},{"url":null,"slug":"seeing-through-the-noisy-dark-toward-real","title":"Seeing Through the Noisy Dark: Towards Real-world Low-Light Image Enhancement and Denoising","date":"2022-10-02","arxiv_id":"2210.00545","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tip-attribute-aware-text-infilling-via-pre","title":"A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-attribute-controlled-text-generation","title":"Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"resource-of-wikipedias-in-31-languages","title":"Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"table-based-fact-verification-with-self-2","title":"Table-based Fact Verification with Self-labeled Keypoint Alignment","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"alignment-guided-temporal-attention-for-video","title":"Alignment-guided Temporal Attention for Video Action Recognition","date":"2022-09-30","arxiv_id":"2210.00132","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-estimation-for-text-data-with-apparent","title":"Causal Estimation for Text Data with (Apparent) Overlap Violations","date":"2022-09-30","arxiv_id":"2210.00079","repositories_listed":0,"syntology":null},{"url":null,"slug":"reasoning-about-complex-networks-a-logic","title":"Reasoning about Complex Networks: A Logic Programming Approach","date":"2022-09-29","arxiv_id":"2209.15067","repositories_listed":0,"syntology":null},{"url":null,"slug":"adma-gan-attribute-driven-memory-augmented","title":"Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation","date":"2022-09-28","arxiv_id":"2209.14046","repositories_listed":0,"syntology":null},{"url":null,"slug":"controllable-face-manipulation-and-uv-map","title":"Controllable Face Manipulation and UV Map Generation by Self-supervised Learning","date":"2022-09-24","arxiv_id":"2209.12050","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-explanations-fairness-and-appropriate","title":"Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making","date":"2022-09-23","arxiv_id":"2209.11812","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccr-facial-image-editing-with-continuity","title":"CCR: Facial Image Editing with Continuity, Consistency and Reversibility","date":"2022-09-22","arxiv_id":"2209.10734","repositories_listed":0,"syntology":null},{"url":null,"slug":"mini-elsa-using-machine-learning-to-improve","title":"mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0","date":"2022-09-22","arxiv_id":"2209.10896","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-max-relevance-min-divergence-criterion-for","title":"A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes","date":"2022-09-20","arxiv_id":"2209.10095","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-and-robustness-in-anti-causal","title":"Fairness and robustness in anti-causal prediction","date":"2022-09-20","arxiv_id":"2209.09423","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-sparse-latent-representations-for","title":"Learning Sparse Latent Representations for Generator Model","date":"2022-09-20","arxiv_id":"2209.09949","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporal-enhanced-network-for-click","title":"Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services","date":"2022-09-20","arxiv_id":"2209.09427","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-causal-intervention-scheme-for-semantic","title":"A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals","date":"2022-09-19","arxiv_id":"2209.09018","repositories_listed":0,"syntology":null},{"url":null,"slug":"reshape-explaining-accounting-anomalies-in","title":"RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations","date":"2022-09-19","arxiv_id":"2209.09157","repositories_listed":0,"syntology":null},{"url":null,"slug":"through-a-fair-looking-glass-mitigating-bias","title":"Through a fair looking-glass: mitigating bias in image datasets","date":"2022-09-18","arxiv_id":"2209.08648","repositories_listed":0,"syntology":null},{"url":null,"slug":"carnet-compression-artifact-reduction-for","title":"CARNet:Compression Artifact Reduction for Point Cloud Attribute","date":"2022-09-17","arxiv_id":"2209.08276","repositories_listed":0,"syntology":null},{"url":null,"slug":"dataset-inference-for-self-supervised-models","title":"Dataset Inference for Self-Supervised Models","date":"2022-09-16","arxiv_id":"2209.09024","repositories_listed":0,"syntology":null},{"url":null,"slug":"cat-controllable-attribute-translation-for","title":"CAT: Controllable Attribute Translation for Fair Facial Attribute Classification","date":"2022-09-14","arxiv_id":"2209.06850","repositories_listed":0,"syntology":null},{"url":null,"slug":"concept-based-explanations-for-tabular-data","title":"Concept-Based Explanations for Tabular Data","date":"2022-09-13","arxiv_id":"2209.05690","repositories_listed":0,"syntology":null},{"url":null,"slug":"ksg-knowledge-and-skill-graph","title":"KSG: Knowledge and Skill Graph","date":"2022-09-13","arxiv_id":"2209.05698","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-base-question-answering-a-semantic","title":"Knowledge Base Question Answering: A Semantic Parsing Perspective","date":"2022-09-12","arxiv_id":"2209.04994","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-wearables-dataset-to-predict-adls","title":"Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study","date":"2022-09-11","arxiv_id":"2209.04785","repositories_listed":0,"syntology":null},{"url":null,"slug":"algorithms-with-more-granular-differential","title":"Algorithms with More Granular Differential Privacy Guarantees","date":"2022-09-08","arxiv_id":"2209.04053","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-distribution-regularities-of","title":"Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews","date":"2022-09-08","arxiv_id":"2209.03690","repositories_listed":0,"syntology":null},{"url":null,"slug":"ast-gin-attribute-augmented-spatial-temporal","title":"AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting","date":"2022-09-07","arxiv_id":"2209.03356","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-gan-induced-attribute-manipulations","title":"Can GAN-induced Attribute Manipulations Impact Face Recognition?","date":"2022-09-07","arxiv_id":"2209.02941","repositories_listed":0,"syntology":null},{"url":null,"slug":"multitask-learning-via-shared-features","title":"Multitask Learning via Shared Features: Algorithms and Hardness","date":"2022-09-07","arxiv_id":"2209.03112","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-mapping","title":"Fair mapping","date":"2022-09-01","arxiv_id":"2209.00617","repositories_listed":0,"syntology":null},{"url":null,"slug":"ontology-of-visual-objects","title":"Ontology of Visual Objects","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-topic-aware-graph-neural-network-model-for","title":"A topic-aware graph neural network model for knowledge base updating","date":"2022-08-31","arxiv_id":"2208.14601","repositories_listed":0,"syntology":null},{"url":null,"slug":"elmformer-efficient-raw-image-restoration","title":"ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer","date":"2022-08-31","arxiv_id":"2208.14704","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-named-entity-and-attribute-recognition","title":"NEAR: Named Entity and Attribute Recognition of clinical concepts","date":"2022-08-30","arxiv_id":"2208.13949","repositories_listed":0,"syntology":null},{"url":null,"slug":"raguel-recourse-aware-group-unfairness","title":"RAGUEL: Recourse-Aware Group Unfairness Elimination","date":"2022-08-30","arxiv_id":"2208.14175","repositories_listed":0,"syntology":null},{"url":null,"slug":"caen-a-hierarchically-attentive-evolution","title":"CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment","date":"2022-08-29","arxiv_id":"2208.13480","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-zero-shot-learning-with-mid-level","title":"Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces","date":"2022-08-29","arxiv_id":"2208.13465","repositories_listed":0,"syntology":null},{"url":null,"slug":"label-efficient-self-training-for-attribute","title":"Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents","date":"2022-08-27","arxiv_id":"2208.13086","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-novel-actor-learning-a-generalized","title":"Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors","date":"2022-08-25","arxiv_id":"2208.11905","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-topological-linkage-of-intertwined","title":"Ensnarled: On the topological linkage of spatially embedded network pairs","date":"2022-08-24","arxiv_id":"2208.11662","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-structure-consistent-image-to","title":"Unsupervised Structure-Consistent Image-to-Image Translation","date":"2022-08-24","arxiv_id":"2208.11546","repositories_listed":0,"syntology":null},{"url":null,"slug":"grad-align-empowering-gradual-network","title":"Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation","date":"2022-08-23","arxiv_id":"2208.11025","repositories_listed":0,"syntology":null},{"url":null,"slug":"taco-textual-attribute-recognition-via","title":"TaCo: Textual Attribute Recognition via Contrastive Learning","date":"2022-08-22","arxiv_id":"2208.10180","repositories_listed":0,"syntology":null},{"url":null,"slug":"provable-adaptivity-in-adam","title":"Provable Adaptivity of Adam under Non-uniform Smoothness","date":"2022-08-21","arxiv_id":"2208.09900","repositories_listed":0,"syntology":null},{"url":null,"slug":"carefully-choose-the-baseline-lessons-learned","title":"Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience","date":"2022-08-19","arxiv_id":"2208.09473","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnose-like-a-radiologist-hybrid-neuro","title":"Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis","date":"2022-08-19","arxiv_id":"2208.09282","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-federated-recommendation-via","title":"Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation","date":"2022-08-19","arxiv_id":"2208.09375","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-small-molecule-generation-using","title":"Improving Small Molecule Generation using Mutual Information Machine","date":"2022-08-18","arxiv_id":"2208.09016","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-term-dynamics-of-fairness-understanding","title":"Modelling the long-term fairness dynamics of data-driven targeted help on job seekers","date":"2022-08-17","arxiv_id":"2208.08881","repositories_listed":0,"syntology":null},{"url":null,"slug":"superior-generalization-of-smaller-models-in","title":"Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise","date":"2022-08-17","arxiv_id":"2208.08003","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-counterfactual-shapley-value-attributing","title":"The Counterfactual-Shapley Value: Attributing Change in System Metrics","date":"2022-08-17","arxiv_id":"2208.08399","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-generative-models-for-joint","title":"Exploring Generative Models for Joint Attribute Value Extraction from Product Titles","date":"2022-08-15","arxiv_id":"2208.07130","repositories_listed":0,"syntology":null},{"url":null,"slug":"draft-command-and-edit-controllable-text-1","title":"Draft, Command, and Edit: Controllable Text Editing in E-Commerce","date":"2022-08-11","arxiv_id":"2208.05623","repositories_listed":0,"syntology":null},{"url":null,"slug":"handling-big-tabular-data-of-ict-supply","title":"Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach","date":"2022-08-11","arxiv_id":"2208.06031","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-synthesis-with-mixed-emotions","title":"Speech Synthesis with Mixed Emotions","date":"2022-08-11","arxiv_id":"2208.05890","repositories_listed":0,"syntology":null},{"url":null,"slug":"aesthetic-attributes-assessment-of-images-1","title":"Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2","date":"2022-08-09","arxiv_id":"2208.04522","repositories_listed":0,"syntology":null},{"url":null,"slug":"aesthetic-language-guidance-generation-of","title":"Aesthetic Language Guidance Generation of Images Using Attribute Comparison","date":"2022-08-09","arxiv_id":"2208.04740","repositories_listed":0,"syntology":null},{"url":null,"slug":"attribute-controllable-beautiful-caucasian","title":"Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning","date":"2022-08-09","arxiv_id":"2208.04517","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-semantic-regularization-of","title":"Hierarchical Semantic Regularization of Latent Spaces in StyleGANs","date":"2022-08-07","arxiv_id":"2208.03764","repositories_listed":0,"syntology":null},{"url":null,"slug":"defining-cases-and-variants-for-object","title":"Defining Cases and Variants for Object-Centric Event Data","date":"2022-08-05","arxiv_id":"2208.03235","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-and-mitigating-popularity-bias-in","title":"Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems","date":"2022-08-05","arxiv_id":"2208.03298","repositories_listed":0,"syntology":null},{"url":null,"slug":"invariant-representations-with-stochastically","title":"Invariant Representations with Stochastically Quantized Neural Networks","date":"2022-08-04","arxiv_id":"2208.02656","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-multi-relation-reasoning-for-gan-prior","title":"Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution","date":"2022-08-04","arxiv_id":"2208.02861","repositories_listed":0,"syntology":null},{"url":null,"slug":"combined-cnn-transformer-encoder-for-enhanced","title":"Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition","date":"2022-08-03","arxiv_id":"2208.01897","repositories_listed":0,"syntology":null},{"url":null,"slug":"compressive-self-localization-using-relative","title":"Compressive Self-localization Using Relative Attribute Embedding","date":"2022-08-03","arxiv_id":"2208.08863","repositories_listed":0,"syntology":null},{"url":null,"slug":"capd-a-context-aware-policy-driven-framework","title":"CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations","date":"2022-08-02","arxiv_id":"2208.01703","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-generative-model-for-feasible-and","title":"A Deep Generative Model for Feasible and Diverse Population Synthesis","date":"2022-08-01","arxiv_id":"2208.01403","repositories_listed":0,"syntology":null},{"url":null,"slug":"anova-based-automatic-attribute-selection-and","title":"ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis","date":"2022-07-30","arxiv_id":"2208.00296","repositories_listed":0,"syntology":null}],"record_sha256":"b7774ed6bea1f5d88c773faaa66e946bc70feb0b75282bc71ca31119514334f0","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}