{"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/32","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":32,"pages_in_order":54,"rows_per_page":100,"rows":[3101,3200],"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/31","next":"/task/attribute/papers/33","papers":[{"url":null,"slug":"babe-enhancing-fairness-via-estimation-of","title":"BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables","date":"2023-07-06","arxiv_id":"2307.02891","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-different-expert-opined-strategies","title":"Analyzing Different Expert-Opined Strategies to Enhance the Effect on the Goal of a Multi-Attribute Decision-Making System Using a Concept of Effort Propagation and Application in Enhancement of High School Students' Performance","date":"2023-07-05","arxiv_id":"2307.02254","repositories_listed":0,"syntology":null},{"url":null,"slug":"eanet-enhanced-attribute-based-rgbt-tracker","title":"EANet: Enhanced Attribute-based RGBT Tracker Network","date":"2023-07-04","arxiv_id":"2307.01893","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-ensemble-learning-model-for-multi-label","title":"Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images","date":"2023-07-04","arxiv_id":"2307.01704","repositories_listed":0,"syntology":null},{"url":null,"slug":"leat-towards-robust-deepfake-disruption-in","title":"LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack","date":"2023-07-04","arxiv_id":"2307.01520","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-calibration-bias-without-fixed","title":"Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis","date":"2023-07-04","arxiv_id":"2307.01738","repositories_listed":0,"syntology":null},{"url":null,"slug":"relation-aware-subgraph-embedding-with-co","title":"Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction","date":"2023-07-04","arxiv_id":"2307.01507","repositories_listed":0,"syntology":null},{"url":"/paper/srcd-semantic-reasoning-with-compound-domains","slug":"srcd-semantic-reasoning-with-compound-domains","title":"SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection","date":"2023-07-04","arxiv_id":"2307.01750","repositories_listed":0,"syntology":null},{"url":null,"slug":"unbiased-pain-assessment-through-wearables","title":"Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks","date":"2023-07-03","arxiv_id":"2307.05333","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixpave-mix-prompt-tuning-for-few-shot","title":"MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction","date":"2023-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-a-perspective-on-inter","title":"Feature Selection: A perspective on inter-attribute cooperation","date":"2023-06-28","arxiv_id":"2306.16559","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-cancer-prognosis-prediction","title":"Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding","date":"2023-06-26","arxiv_id":"2306.14596","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-transformation-of-efl-teaching-and","title":"Smart Transformation of EFL Teaching and Learning Approaches","date":"2023-06-25","arxiv_id":"2306.14356","repositories_listed":0,"syntology":null},{"url":null,"slug":"clothfit-cloth-human-attribute-guided-virtual","title":"ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset","date":"2023-06-24","arxiv_id":"2306.13908","repositories_listed":0,"syntology":null},{"url":null,"slug":"amicron-a-framework-for-generating","title":"\"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living","date":"2023-06-22","arxiv_id":"2306.13149","repositories_listed":0,"syntology":null},{"url":null,"slug":"designing-explainable-predictive-machine","title":"Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration","date":"2023-06-20","arxiv_id":"2306.11771","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-profitable-nft-image-diffusions-via","title":"Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning","date":"2023-06-20","arxiv_id":"2306.11731","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-collaborative-pre-training-and","title":"Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning","date":"2023-06-20","arxiv_id":"2306.11378","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-graphs-for-enhanced-attribute","title":"Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method","date":"2023-06-20","arxiv_id":"2306.11307","repositories_listed":0,"syntology":null},{"url":null,"slug":"unexplainable-explanations-towards","title":"Relating tSNE and UMAP to Classical Dimensionality Reduction","date":"2023-06-20","arxiv_id":"2306.11898","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-effect-regularization-automated","title":"Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes","date":"2023-06-19","arxiv_id":"2306.11072","repositories_listed":0,"syntology":null},{"url":null,"slug":"virtual-human-generative-model-masked","title":"Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics","date":"2023-06-19","arxiv_id":"2306.10656","repositories_listed":0,"syntology":null},{"url":null,"slug":"iterative-hierarchy-and-ranking-process-ihrp","title":"Iterative Hierarchy and Ranking Process (IHRP): A Novel Effective Hierarchy Method for Densely Connected Systems and Case Study in Student Performance Assessment","date":"2023-06-17","arxiv_id":"2306.10409","repositories_listed":0,"syntology":null},{"url":null,"slug":"lightweight-attribute-localizing-models-for","title":"Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition","date":"2023-06-16","arxiv_id":"2306.09822","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-assembly-semi-supervised-multi-task","title":"Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels","date":"2023-06-15","arxiv_id":"2306.08839","repositories_listed":0,"syntology":null},{"url":null,"slug":"clipxplore-coupled-clip-and-shape-spaces-for","title":"CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration","date":"2023-06-14","arxiv_id":"2306.08226","repositories_listed":0,"syntology":null},{"url":null,"slug":"recognizing-unseen-objects-via-multimodal","title":"Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation","date":"2023-06-14","arxiv_id":"2306.08487","repositories_listed":0,"syntology":null},{"url":null,"slug":"gemo-clap-gender-attribute-enhanced","title":"GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition","date":"2023-06-13","arxiv_id":"2306.07848","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-fair-facial-expression-recognition","title":"Toward Fair Facial Expression Recognition with Improved Distribution Alignment","date":"2023-06-11","arxiv_id":"2306.06696","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-generative-approach-to-product","title":"A Unified Generative Approach to Product Attribute-Value Identification","date":"2023-06-09","arxiv_id":"2306.05605","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-crystal-specific-pre-training-framework-for","title":"A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction","date":"2023-06-08","arxiv_id":"2306.05344","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-fairness-for-outcome-control","title":"Causal Fairness for Outcome Control","date":"2023-06-08","arxiv_id":"2306.05066","repositories_listed":0,"syntology":null},{"url":"/paper/answering-compositional-queries-with-set","slug":"answering-compositional-queries-with-set","title":"Answering Compositional Queries with Set-Theoretic Embeddings","date":"2023-06-07","arxiv_id":"2306.04133","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrimix-unsupervised-disentanglement-of","title":"ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology","date":"2023-06-07","arxiv_id":"2306.04527","repositories_listed":0,"syntology":null},{"url":null,"slug":"embracing-uncertainty-adaptive-vague","title":"Vague Preference Policy Learning for Conversational Recommendation","date":"2023-06-07","arxiv_id":"2306.04487","repositories_listed":0,"syntology":null},{"url":null,"slug":"icon-2-reliably-benchmarking-predictive","title":"ICON$^2$: Reliably Benchmarking Predictive Inequity in Object Detection","date":"2023-06-07","arxiv_id":"2306.04482","repositories_listed":0,"syntology":null},{"url":null,"slug":"mega-tts-zero-shot-text-to-speech-at-scale","title":"Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias","date":"2023-06-06","arxiv_id":"2306.03509","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-conversation-discourse-for","title":"Revisiting Conversation Discourse for Dialogue Disentanglement","date":"2023-06-06","arxiv_id":"2306.03975","repositories_listed":0,"syntology":null},{"url":null,"slug":"subgraph-networks-based-contrastive-learning","title":"Subgraph Networks Based Contrastive Learning","date":"2023-06-06","arxiv_id":"2306.03506","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-domain-shift-via-knowledge-space","title":"Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis","date":"2023-06-04","arxiv_id":"2306.02359","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversary-for-social-good-leveraging","title":"Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy","date":"2023-06-04","arxiv_id":"2306.02488","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-computational-mechanisms-for-shared","title":"On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness","date":"2023-06-03","arxiv_id":"2306.13657","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusemp-a-diffusion-model-based-framework","title":"DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation","date":"2023-06-02","arxiv_id":"2306.01657","repositories_listed":0,"syntology":null},{"url":null,"slug":"kernel-metric-learning-for-clustering-mixed","title":"Mixed-type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning","date":"2023-06-02","arxiv_id":"2306.01890","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-flawed-foundations-of-fair-machine","title":"The Flawed Foundations of Fair Machine Learning","date":"2023-06-02","arxiv_id":"2306.01417","repositories_listed":0,"syntology":null},{"url":null,"slug":"theoretical-behavior-of-xai-methods-in-the","title":"Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables","date":"2023-06-02","arxiv_id":"2306.01464","repositories_listed":0,"syntology":null},{"url":null,"slug":"attribute-efficient-pac-learning-of-low","title":"Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise","date":"2023-06-01","arxiv_id":"2306.00673","repositories_listed":0,"syntology":null},{"url":null,"slug":"cfl-causally-fair-language-models-through","title":"CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation","date":"2023-06-01","arxiv_id":"2306.00374","repositories_listed":0,"syntology":null},{"url":null,"slug":"does-black-box-attribute-inference-attacks-on","title":"Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?","date":"2023-06-01","arxiv_id":"2306.00578","repositories_listed":0,"syntology":null},{"url":null,"slug":"focused-prefix-tuning-for-controllable-text","title":"Focused Prefix Tuning for Controllable Text Generation","date":"2023-06-01","arxiv_id":"2306.00369","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-generative-multimodal-attribute","title":"Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes","date":"2023-06-01","arxiv_id":"2306.00379","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt-algebra-for-task-composition","title":"Prompt Algebra for Task Composition","date":"2023-06-01","arxiv_id":"2306.00310","repositories_listed":0,"syntology":null},{"url":null,"slug":"pv2tea-patching-visual-modality-to-textual","title":"PV2TEA: Patching Visual Modality to Textual-Established Information Extraction","date":"2023-06-01","arxiv_id":"2306.01016","repositories_listed":0,"syntology":null},{"url":null,"slug":"lowa-localize-objects-in-the-wild-with","title":"LOWA: Localize Objects in the Wild with Attributes","date":"2023-05-31","arxiv_id":"2305.20047","repositories_listed":0,"syntology":null},{"url":null,"slug":"layerdiffusion-layered-controlled-image","title":"LayerDiffusion: Layered Controlled Image Editing with Diffusion Models","date":"2023-05-30","arxiv_id":"2305.18676","repositories_listed":0,"syntology":null},{"url":null,"slug":"totaldefmeme-a-multi-attribute-meme-dataset","title":"TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore","date":"2023-05-29","arxiv_id":"2305.17911","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-clustering-via-hierarchical-fair","title":"Fair Clustering via Hierarchical Fair-Dirichlet Process","date":"2023-05-27","arxiv_id":"2305.17557","repositories_listed":0,"syntology":null},{"url":null,"slug":"ramp-retrieval-and-attribute-marking-enhanced","title":"RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation","date":"2023-05-26","arxiv_id":"2305.17131","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-techniques-in-the-microservices-life-cycle","title":"AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study","date":"2023-05-25","arxiv_id":"2305.16092","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-trust-through-the-lens-of","title":"Distributed Trust Through the Lens of Software Architecture","date":"2023-05-25","arxiv_id":"2306.08056","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-ante-hoc-graph-explainer-using-bilevel","title":"Robust Ante-hoc Graph Explainer using Bilevel Optimization","date":"2023-05-25","arxiv_id":"2305.15745","repositories_listed":0,"syntology":null},{"url":null,"slug":"ameli-enhancing-multimodal-entity-linking","title":"AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes","date":"2023-05-24","arxiv_id":"2305.14725","repositories_listed":0,"syntology":null},{"url":null,"slug":"anthropomorphization-of-ai-opportunities-and","title":"Anthropomorphization of AI: Opportunities and Risks","date":"2023-05-24","arxiv_id":"2305.14784","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-effect-of-training-dataset","title":"Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer","date":"2023-05-24","arxiv_id":"2305.15582","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatface-chat-guided-real-face-editing-via","title":"ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation","date":"2023-05-24","arxiv_id":"2305.14742","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-reading-comprehension-using-case","title":"Machine Reading Comprehension using Case-based Reasoning","date":"2023-05-24","arxiv_id":"2305.14815","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-biased-activation-in-weakly","title":"Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization","date":"2023-05-24","arxiv_id":"2305.15354","repositories_listed":0,"syntology":null},{"url":"/paper/coarse-to-fine-contrastive-learning-in-image","slug":"coarse-to-fine-contrastive-learning-in-image","title":"Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality","date":"2023-05-23","arxiv_id":"2305.13812","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-and-mitigating-indirect-stereotypes","title":"Detecting and Mitigating Indirect Stereotypes in Word Embeddings","date":"2023-05-23","arxiv_id":"2305.14574","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-and-modeling-attribution-for-cross","title":"Evaluating and Modeling Attribution for Cross-Lingual Question Answering","date":"2023-05-23","arxiv_id":"2305.14332","repositories_listed":0,"syntology":null},{"url":null,"slug":"grounding-and-distinguishing-conceptual","title":"Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations","date":"2023-05-23","arxiv_id":"2305.13668","repositories_listed":0,"syntology":null},{"url":null,"slug":"attribute-guided-encryption-with-facial","title":"Attribute-Guided Encryption with Facial Texture Masking","date":"2023-05-22","arxiv_id":"2305.13548","repositories_listed":0,"syntology":null},{"url":null,"slug":"instructvid2vid-controllable-video-editing","title":"InstructVid2Vid: Controllable Video Editing with Natural Language Instructions","date":"2023-05-21","arxiv_id":"2305.12328","repositories_listed":0,"syntology":null},{"url":null,"slug":"cdjur-br-a-golden-collection-of-legal","title":"CDJUR-BR -- A Golden Collection of Legal Document from Brazilian Justice with Fine-Grained Named Entities","date":"2023-05-20","arxiv_id":"2305.18315","repositories_listed":0,"syntology":null},{"url":null,"slug":"redirtrans-latent-to-latent-translation-for-1","title":"ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection","date":"2023-05-19","arxiv_id":"2305.11452","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-biases-and-the-impact-of","title":"Comparing Biases and the Impact of Multilingual Training across Multiple Languages","date":"2023-05-18","arxiv_id":"2305.11242","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-semantic-knowledge-composed-multimodal","title":"Dual Semantic Knowledge Composed Multimodal Dialog Systems","date":"2023-05-17","arxiv_id":"2305.09990","repositories_listed":0,"syntology":null},{"url":null,"slug":"consensus-and-subjectivity-of-skin-tone","title":"Consensus and Subjectivity of Skin Tone Annotation for ML Fairness","date":"2023-05-16","arxiv_id":"2305.09073","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-analysis-for-robust-interpretability","title":"Causal Analysis for Robust Interpretability of Neural Networks","date":"2023-05-15","arxiv_id":"2305.08950","repositories_listed":0,"syntology":null},{"url":null,"slug":"covariate-distance-weighted-regression-cwr-a","title":"Covariate-distance Weighted Regression (CWR): A Case Study for Estimation of House Prices","date":"2023-05-15","arxiv_id":"2305.08887","repositories_listed":0,"syntology":null},{"url":"/paper/versatile-audio-visual-learning-for-handling","slug":"versatile-audio-visual-learning-for-handling","title":"Versatile audio-visual learning for emotion recognition","date":"2023-05-12","arxiv_id":"2305.07216","repositories_listed":0,"syntology":null},{"url":null,"slug":"detection-and-classification-of-pole-like","title":"Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching","date":"2023-05-11","arxiv_id":"2305.06845","repositories_listed":0,"syntology":null},{"url":null,"slug":"promise-and-limitations-of-supervised-optimal","title":"Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures","date":"2023-05-11","arxiv_id":"2305.07138","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-random-walk-for-graph-representation","title":"Semantic Random Walk for Graph Representation Learning in Attributed Graphs","date":"2023-05-11","arxiv_id":"2305.06531","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapter-tst-a-parameter-efficient-method-for","title":"Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer","date":"2023-05-10","arxiv_id":"2305.05945","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-bias-in-diffusion-based-face","title":"Analyzing Bias in Diffusion-based Face Generation Models","date":"2023-05-10","arxiv_id":"2305.06402","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-link-prediction-on-n-ary-facts","title":"Few-shot Link Prediction on N-ary Facts","date":"2023-05-10","arxiv_id":"2305.06104","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-as-a-text-simplification-tool-to","title":"ChatGPT as a Text Simplification Tool to Remove Bias","date":"2023-05-09","arxiv_id":"2305.06166","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-embedded-deep-neural-network-a","title":"Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance","date":"2023-05-09","arxiv_id":"2305.05228","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-a-cbr-in-hand-is-better-than-twins-in","title":"When a CBR in Hand is Better than Twins in the Bush","date":"2023-05-09","arxiv_id":"2305.05111","repositories_listed":0,"syntology":null},{"url":null,"slug":"who-needs-decoders-efficient-estimation-of","title":"Who Needs Decoders? Efficient Estimation of Sequence-level Attributes","date":"2023-05-09","arxiv_id":"2305.05098","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-efficient-training-with-imbalanced-label","title":"Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection","date":"2023-05-07","arxiv_id":"2305.04379","repositories_listed":0,"syntology":null},{"url":null,"slug":"amgcl-feature-imputation-of-attribute-missing","title":"AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning","date":"2023-05-05","arxiv_id":"2305.03741","repositories_listed":0,"syntology":null},{"url":null,"slug":"stylized-data-to-text-generation-a-case-study","title":"Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain","date":"2023-05-05","arxiv_id":"2305.03256","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-with-delayed-composite","title":"Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward","date":"2023-05-04","arxiv_id":"2305.02527","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-graph-contrastive-learning-for","title":"Revisiting Graph Contrastive Learning for Anomaly Detection","date":"2023-05-04","arxiv_id":"2305.02496","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-politics-of-language-choice-how-the","title":"The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter","date":"2023-05-04","arxiv_id":"2305.02770","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-curriculum-view-of-robust-loss-functions","title":"A Curriculum View of Robust Loss Functions","date":"2023-05-03","arxiv_id":"2305.02139","repositories_listed":0,"syntology":null},{"url":null,"slug":"explicit-knowledge-graph-reasoning-for","title":"Explicit Knowledge Graph Reasoning for Conversational Recommendation","date":"2023-05-01","arxiv_id":"2305.00783","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-extensible-multimodal-multi-task-object","title":"An Extensible Multimodal Multi-task Object Dataset with Materials","date":"2023-04-29","arxiv_id":"2305.14352","repositories_listed":0,"syntology":null}],"record_sha256":"0865a4f0b0ca35c58154ad63a5b74b2409a922b06ccb7cf2508b94af4ac71a6c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}