{"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/diversity/papers/52","list_of":"/task/diversity","task":"Diversity","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":52,"pages_in_order":91,"rows_per_page":100,"rows":[5101,5200],"of":9051,"counts":{"archive_papers_tagged":9051,"with_a_code_link":3166,"where_syntology_ran_a_sample":890,"not_listed_spam_title":0,"listed":9051,"listed_where_code_ran":890,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":736,"every_run_a_failure_of_syntologys_instrument":154,"listed_with_a_run_with_no_instrument_failure":736,"listed_every_run_a_failure_of_syntologys_instrument":154,"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/diversity","prev":"/task/diversity/papers/51","next":"/task/diversity/papers/53","papers":[{"url":null,"slug":"predictive-analysis-for-optimizing-port","title":"Predictive Analysis for Optimizing Port Operations","date":"2024-01-25","arxiv_id":"2401.14498","repositories_listed":0,"syntology":null},{"url":null,"slug":"styleinject-parameter-efficient-tuning-of","title":"StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models","date":"2024-01-25","arxiv_id":"2401.13942","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-risk-of-federated-learning-to-skew-fine","title":"The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness","date":"2024-01-25","arxiv_id":"2401.14027","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-the-transferability-of-adversarial-3","title":"Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size","date":"2024-01-24","arxiv_id":"2401.13205","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-random-to-informed-data-selection-a","title":"From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning","date":"2024-01-24","arxiv_id":"2401.13229","repositories_listed":0,"syntology":null},{"url":null,"slug":"gtautoact-an-automatic-datasets-generation","title":"GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition","date":"2024-01-24","arxiv_id":"2401.13414","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-ai-ideas-affect-the-creativity-diversity","title":"How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment","date":"2024-01-24","arxiv_id":"2401.13481","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-agent-diagnostics-for-robustness-via","title":"Multi-Agent Diagnostics for Robustness via Illuminated Diversity","date":"2024-01-24","arxiv_id":"2401.13460","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-consistent-3d-indoor-scene-synthesis","title":"Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects","date":"2024-01-24","arxiv_id":"2401.13203","repositories_listed":0,"syntology":null},{"url":null,"slug":"tweets-to-citations-unveiling-the-impact-of","title":"Position: AI/ML Influencers Have a Place in the Academic Process","date":"2024-01-24","arxiv_id":"2401.13782","repositories_listed":0,"syntology":null},{"url":null,"slug":"unihda-towards-universal-hybrid-domain","title":"UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation","date":"2024-01-23","arxiv_id":"2401.12596","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-grey-wolf-optimization-algorithm","title":"An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction","date":"2024-01-22","arxiv_id":"2401.11669","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-recommendation-diversity-by-re","title":"Enhancing Recommendation Diversity by Re-ranking with Large Language Models","date":"2024-01-21","arxiv_id":"2401.11506","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-are-we-optimizing-for-a-human-centric","title":"What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders","date":"2024-01-21","arxiv_id":"2401.11632","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-model-conditioning-on-gaussian","title":"Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient","date":"2024-01-20","arxiv_id":"2401.11261","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-reinforcement-learning-for","title":"Large-scale Reinforcement Learning for Diffusion Models","date":"2024-01-20","arxiv_id":"2401.12244","repositories_listed":0,"syntology":null},{"url":null,"slug":"navigating-the-thin-line-examining-user","title":"Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects","date":"2024-01-20","arxiv_id":"2401.11201","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-mars-image-content-based-search","title":"Interactive Mars Image Content-Based Search with Interpretable Machine Learning","date":"2024-01-19","arxiv_id":"2402.16860","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-diversity-algorithms-can-provably-be","title":"Quality-Diversity Algorithms Can Provably Be Helpful for Optimization","date":"2024-01-19","arxiv_id":"2401.10539","repositories_listed":0,"syntology":null},{"url":null,"slug":"bpdo-boundary-points-dynamic-optimization-for","title":"BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection","date":"2024-01-18","arxiv_id":"2401.09997","repositories_listed":0,"syntology":null},{"url":null,"slug":"qos-aware-3d-coverage-deployment-of-uavs-for","title":"QoS-Aware 3D Coverage Deployment of UAVs for Internet of Vehicles in Intelligent Transportation","date":"2024-01-18","arxiv_id":"2401.09674","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-detect-cloud-and-snow-in-remote","title":"Learning to detect cloud and snow in remote sensing images from noisy labels","date":"2024-01-17","arxiv_id":"2401.08932","repositories_listed":0,"syntology":null},{"url":null,"slug":"sm-3-self-supervised-multi-task-modeling-with","title":"SM$^3$: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects","date":"2024-01-17","arxiv_id":"2401.09133","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-limited-supervised-foot-ulcer","title":"Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation","date":"2024-01-16","arxiv_id":"2401.08422","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-multi-objective-diversity","title":"Evolutionary Multi-Objective Diversity Optimization","date":"2024-01-15","arxiv_id":"2401.07454","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-experimental-design-framework-for-label","title":"An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models","date":"2024-01-12","arxiv_id":"2401.06692","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-natural-language-inference-to-improve","title":"Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain","date":"2024-01-12","arxiv_id":"2401.06742","repositories_listed":0,"syntology":null},{"url":null,"slug":"xls-r-deep-learning-model-for-multilingual","title":"XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese","date":"2024-01-12","arxiv_id":"2401.06832","repositories_listed":0,"syntology":null},{"url":null,"slug":"multislot-reranker-a-generic-model-based-re","title":"MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems","date":"2024-01-11","arxiv_id":"2401.06293","repositories_listed":0,"syntology":null},{"url":null,"slug":"r-bi-regularized-batched-inputs-enhance","title":"R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation","date":"2024-01-11","arxiv_id":"2401.05700","repositories_listed":0,"syntology":null},{"url":null,"slug":"derm-t2im-harnessing-synthetic-skin-lesion","title":"Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN","date":"2024-01-10","arxiv_id":"2401.05159","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-aware-clustering-computational","title":"Diversity-aware clustering: Computational Complexity and Approximation Algorithms","date":"2024-01-10","arxiv_id":"2401.05502","repositories_listed":0,"syntology":null},{"url":null,"slug":"strategic-client-selection-to-address-non","title":"Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks","date":"2024-01-10","arxiv_id":"2401.05308","repositories_listed":0,"syntology":null},{"url":null,"slug":"emogen-emotional-image-content-generation","title":"EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models","date":"2024-01-09","arxiv_id":"2401.04608","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperganstrument-instrument-sound-synthesis","title":"HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks","date":"2024-01-09","arxiv_id":"2401.04558","repositories_listed":0,"syntology":null},{"url":null,"slug":"proof-of-efficient-liquidity-a-staking","title":"Proof of Efficient Liquidity: A Staking Mechanism for Capital Efficient Liquidity","date":"2024-01-09","arxiv_id":"2401.04521","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-gesture-recognition-dataset-for","title":"A multimodal gesture recognition dataset for desktop human-computer interaction","date":"2024-01-08","arxiv_id":"2401.03828","repositories_listed":0,"syntology":null},{"url":null,"slug":"boldly-going-where-no-benchmark-has-gone","title":"PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs","date":"2024-01-08","arxiv_id":"2401.03855","repositories_listed":0,"syntology":null},{"url":null,"slug":"catalyzing-equity-in-stem-teams-harnessing","title":"Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity","date":"2024-01-08","arxiv_id":"2402.00037","repositories_listed":0,"syntology":null},{"url":null,"slug":"chain-of-lora-efficient-fine-tuning-of","title":"Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning","date":"2024-01-08","arxiv_id":"2401.04151","repositories_listed":0,"syntology":null},{"url":null,"slug":"we-need-to-talk-about-classification","title":"We Need to Talk About Classification Evaluation Metrics in NLP","date":"2024-01-08","arxiv_id":"2401.03831","repositories_listed":0,"syntology":null},{"url":null,"slug":"furniscene-a-large-scale-3d-room-dataset-with","title":"FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes","date":"2024-01-07","arxiv_id":"2401.03470","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-skies-a-novel-model-for-flight","title":"Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting","date":"2024-01-07","arxiv_id":"2401.03397","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-sample-efficient-offline-reinforcement-1","title":"On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond","date":"2024-01-06","arxiv_id":"2401.03301","repositories_listed":0,"syntology":null},{"url":null,"slug":"msdc-deq-net-deep-equilibrium-model-deq-with","title":"MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)","date":"2024-01-05","arxiv_id":"2401.02884","repositories_listed":0,"syntology":null},{"url":null,"slug":"applications-of-machine-learning-and-iot-for","title":"Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review","date":"2024-01-03","arxiv_id":"2401.01788","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-image-generation-via-information","title":"Few-shot Image Generation via Information Transfer from the Built Geodesic Surface","date":"2024-01-03","arxiv_id":"2401.01749","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-answering-based-summarization-of","title":"Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation","date":"2024-01-03","arxiv_id":"2401.01469","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-aware-buffer-for-coping-with","title":"Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation","date":"2024-01-02","arxiv_id":"2401.00989","repositories_listed":0,"syntology":null},{"url":null,"slug":"gbss-a-global-building-semantic-segmentation","title":"GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction","date":"2024-01-02","arxiv_id":"2401.01178","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-diverge-or-not-to-diverge-a","title":"To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation","date":"2024-01-02","arxiv_id":"2401.01419","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-versatile-framework-for-continual-test-time","title":"A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"brush2prompt-contextual-prompt-generator-for","title":"Brush2Prompt: Contextual Prompt Generator for Object Inpainting","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"class-incremental-learning-with-multi-teacher","title":"Class Incremental Learning with Multi-Teacher Distillation","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-scene-recovery-using-luminous-flux","title":"Efficient Scene Recovery Using Luminous Flux Prior","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-coupled-dictionaries-from-unpaired","title":"Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-diversification-networks","title":"Motion Diversification Networks","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nightcc-nighttime-color-constancy-via","title":"NightCC: Nighttime Color Constancy via Adaptive Channel Masking","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"snida-unlocking-few-shot-object-detection","title":"SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stylitgan-image-based-relighting-via-latent","title":"StyLitGAN: Image-Based Relighting via Latent Control","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"training-diffusion-models-towards-diverse","title":"Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-improving-source-free","title":"Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiplayer-battle-game-inspired-optimizer","title":"Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems","date":"2023-12-31","arxiv_id":"2401.00401","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-model-with-perceptual-loss","title":"Diffusion Model with Perceptual Loss","date":"2023-12-30","arxiv_id":"2401.00110","repositories_listed":0,"syntology":null},{"url":null,"slug":"gan-ga-a-generative-model-based-on-genetic","title":"GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation","date":"2023-12-30","arxiv_id":"2401.00314","repositories_listed":0,"syntology":null},{"url":null,"slug":"informative-rays-selection-for-few-shot","title":"Informative Rays Selection for Few-Shot Neural Radiance Fields","date":"2023-12-29","arxiv_id":"2312.17561","repositories_listed":0,"syntology":null},{"url":null,"slug":"fedsdd-scalable-and-diversity-enhanced","title":"FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning","date":"2023-12-28","arxiv_id":"2312.17029","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-quantum-cycle-generative-adversarial","title":"Hybrid quantum cycle generative adversarial network for small molecule generation","date":"2023-12-28","arxiv_id":"2402.00014","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-based-display-size-selection","title":"Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection","date":"2023-12-28","arxiv_id":"2312.16965","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-proposed-new-metric-for-the-conceptual","title":"A proposed new metric for the conceptual diversity of a text","date":"2023-12-27","arxiv_id":"2312.16548","repositories_listed":0,"syntology":null},{"url":null,"slug":"rdgcl-reaction-diffusion-graph-contrastive","title":"RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation","date":"2023-12-27","arxiv_id":"2312.16563","repositories_listed":0,"syntology":null},{"url":null,"slug":"t-cell-receptor-binding-prediction-a-machine","title":"T cell receptor binding prediction: A machine learning revolution","date":"2023-12-27","arxiv_id":"2312.16594","repositories_listed":0,"syntology":null},{"url":null,"slug":"mesure-simultan-e-e-des-r-e-ponses","title":"Mesure simultan{é}e des r{é}ponses impulsionnelles en macrodiversit{é}","date":"2023-12-26","arxiv_id":"2312.15952","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-multimodal-prompting-with","title":"Towards Robust Multimodal Prompting With Missing Modalities","date":"2023-12-26","arxiv_id":"2312.15890","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-based-recruitment-in-crowdsensing","title":"Diversity-Based Recruitment in Crowdsensing By Combinatorial Multi-Armed Bandits","date":"2023-12-25","arxiv_id":"2312.15729","repositories_listed":0,"syntology":null},{"url":null,"slug":"fidelity-and-consistency-in-iterative","title":"Natural Averaging May Complement Known Biological Constraints in Bi-parental Reproduction's Advantages Over Mono-parental in Conserving Species Quantitative Traits","date":"2023-12-25","arxiv_id":"2312.15795","repositories_listed":0,"syntology":null},{"url":null,"slug":"set-prediction-guided-by-semantic-concepts","title":"Set Prediction Guided by Semantic Concepts for Diverse Video Captioning","date":"2023-12-25","arxiv_id":"2312.15720","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-diversity-jati","title":"Learning from diversity: jati fractionalization, social expectations and improved sanitation practices in India","date":"2023-12-23","arxiv_id":"2312.15221","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficacy-of-machine-generated-instructions","title":"Efficacy of Machine-Generated Instructions","date":"2023-12-22","arxiv_id":"2312.14423","repositories_listed":0,"syntology":null},{"url":null,"slug":"timepillars-temporally-recurrent-3d-lidar","title":"TimePillars: Temporally-Recurrent 3D LiDAR Object Detection","date":"2023-12-22","arxiv_id":"2312.17260","repositories_listed":0,"syntology":null},{"url":null,"slug":"navigating-the-structured-what-if-spaces","title":"Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion","date":"2023-12-21","arxiv_id":"2312.13616","repositories_listed":0,"syntology":null},{"url":null,"slug":"wellfactor-patient-profiling-using","title":"WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data","date":"2023-12-21","arxiv_id":"2312.14129","repositories_listed":0,"syntology":null},{"url":null,"slug":"amd-anatomical-motion-diffusion-with","title":"AMD:Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion","date":"2023-12-20","arxiv_id":"2312.12763","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-optimization-through-innovation-the","title":"Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)","date":"2023-12-20","arxiv_id":"2312.13395","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-estimating-domain","title":"Understanding and Estimating Domain Complexity Across Domains","date":"2023-12-20","arxiv_id":"2312.13487","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixture-of-cluster-conditional-lora-experts","title":"Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning","date":"2023-12-19","arxiv_id":"2312.12379","repositories_listed":0,"syntology":null},{"url":null,"slug":"motionscript-natural-language-descriptions","title":"MotionScript: Natural Language Descriptions for Expressive 3D Human Motions","date":"2023-12-19","arxiv_id":"2312.12634","repositories_listed":0,"syntology":null},{"url":null,"slug":"new-classes-of-the-greedy-applicable-arm","title":"New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem","date":"2023-12-19","arxiv_id":"2312.12400","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-approach-for-advanced-pest","title":"A Multimodal Approach for Advanced Pest Detection and Classification","date":"2023-12-18","arxiv_id":"2312.10948","repositories_listed":0,"syntology":null},{"url":null,"slug":"density-descent-for-diversity-optimization","title":"Density Descent for Diversity Optimization","date":"2023-12-18","arxiv_id":"2312.11331","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaption-and-physical-constrains","title":"Domain adaption and physical constrains transfer learning for shale gas production","date":"2023-12-18","arxiv_id":"2312.10920","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-good-to-great-improving-math-reasoning","title":"From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting","date":"2023-12-18","arxiv_id":"2401.05384","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-stealing-attack-against-graph","title":"Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity","date":"2023-12-18","arxiv_id":"2312.10943","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-learning-from-augmented-label","title":"Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI","date":"2023-12-17","arxiv_id":"2312.10586","repositories_listed":0,"syntology":null},{"url":null,"slug":"k-esconv-knowledge-injection-for-emotional","title":"K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning","date":"2023-12-16","arxiv_id":"2312.10371","repositories_listed":0,"syntology":null},{"url":null,"slug":"sails-and-anchors-the-complementarity-of","title":"Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation","date":"2023-12-16","arxiv_id":"2312.10476","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-estimate-of-mean-proper-scores-for","title":"Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning","date":"2023-12-15","arxiv_id":"2312.10116","repositories_listed":0,"syntology":null},{"url":null,"slug":"uinav-a-maker-of-ui-automation-agents","title":"UINav: A Practical Approach to Train On-Device Automation Agents","date":"2023-12-15","arxiv_id":"2312.10170","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-parameter-sharing-for-multi-agent","title":"Adaptive parameter sharing for multi-agent reinforcement learning","date":"2023-12-14","arxiv_id":"2312.09009","repositories_listed":0,"syntology":null},{"url":null,"slug":"cmose-comprehensive-multi-modality-online","title":"CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels","date":"2023-12-14","arxiv_id":"2312.09066","repositories_listed":0,"syntology":null}],"record_sha256":"091bbd645eb24059c4708d6ff07cec9345455cee52f6fa584ecd9b473312765b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}