{"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":"/method/focus/papers/120","list_of":"/method/focus","method":"Focus","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":120,"pages_in_order":154,"rows_per_page":100,"rows":[11901,12000],"of":15340,"counts":{"archive_papers_tagged":15340,"with_a_code_link":5193,"where_syntology_ran_a_sample":1419,"not_listed_spam_title":0,"listed":15340,"listed_where_code_ran":1419,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1210,"every_run_a_failure_of_syntologys_instrument":209,"listed_with_a_run_with_no_instrument_failure":1210,"listed_every_run_a_failure_of_syntologys_instrument":209,"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":"/method/focus","prev":"/method/focus/papers/119","next":"/method/focus/papers/121","papers":[{"paper":"/paper/nac-tcn-temporal-convolutional-networks-with","slug":"nac-tcn-temporal-convolutional-networks-with","title":"NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion Understanding","date":"2023-12-12","arxiv_id":"2312.07507","n_code_links":1,"syntology":null},{"paper":null,"slug":"navigating-the-generative-ai-era-introducing","title":"The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment","date":"2023-12-12","arxiv_id":"2312.07086","n_code_links":0,"syntology":null},{"paper":null,"slug":"noised-autoencoders-for-point-annotation","title":"Shifted Autoencoders for Point Annotation Restoration in Object Counting","date":"2023-12-12","arxiv_id":"2312.07190","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimal-information-acquisition-under","title":"Optimal Information Acquisition Under Intervention","date":"2023-12-12","arxiv_id":"2312.07757","n_code_links":0,"syntology":null},{"paper":"/paper/scribbleprompt-fast-and-flexible-interactive","slug":"scribbleprompt-fast-and-flexible-interactive","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","date":"2023-12-12","arxiv_id":"2312.07381","n_code_links":1,"syntology":{"ran":3,"of":9,"n_ran_checked":3,"n_instrument":0,"unverified":6,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","official":{"repos":["halleewong/ScribblePrompt"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/semi-supervised-active-learning-for-video","slug":"semi-supervised-active-learning-for-video","title":"Semi-supervised Active Learning for Video Action Detection","date":"2023-12-12","arxiv_id":"2312.07169","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":3,"n_instrument":1,"unverified":2,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["akash2907/semi-sup-active-learning"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/spatial-knowledge-infused-hierarchical","slug":"spatial-knowledge-infused-hierarchical","title":"Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery","date":"2023-12-12","arxiv_id":"2312.07767","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-complexity-of-envy-free-graph-cutting","title":"The Complexity of Envy-Free Graph Cutting","date":"2023-12-12","arxiv_id":"2312.07043","n_code_links":0,"syntology":null},{"paper":null,"slug":"transferring-clip-s-knowledge-into-zero-shot","title":"Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation","date":"2023-12-12","arxiv_id":"2312.07221","n_code_links":0,"syntology":null},{"paper":null,"slug":"transferring-modality-aware-pedestrian","title":"Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification","date":"2023-12-12","arxiv_id":"2312.07021","n_code_links":0,"syntology":null},{"paper":null,"slug":"turbo-informativity-driven-acceleration-plug","title":"Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models","date":"2023-12-12","arxiv_id":"2312.07408","n_code_links":0,"syntology":null},{"paper":null,"slug":"we-economy-potential-of-mutual-aid","title":"WE economy: Potential of mutual aid distribution based on moral responsibility and risk vulnerability","date":"2023-12-12","arxiv_id":"2312.06927","n_code_links":0,"syntology":null},{"paper":null,"slug":"xc-nas-a-new-cellular-encoding-approach-for","title":"XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks","date":"2023-12-12","arxiv_id":"2312.07760","n_code_links":0,"syntology":null},{"paper":null,"slug":"3d-hand-pose-estimation-in-egocentric-images","title":"3D Hand Pose Estimation in Everyday Egocentric Images","date":"2023-12-11","arxiv_id":"2312.06583","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-gan-approach-for-node-embedding-in","title":"A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling","date":"2023-12-11","arxiv_id":"2312.06519","n_code_links":0,"syntology":null},{"paper":"/paper/a-picture-guide-to-cancer-progression-and","slug":"a-picture-guide-to-cancer-progression-and","title":"A picture guide to cancer progression and monotonic accumulation models: evolutionary assumptions, plausible interpretations, and alternative uses","date":"2023-12-11","arxiv_id":"2312.06824","n_code_links":1,"syntology":null},{"paper":"/paper/adod-adaptive-domain-aware-object-detection","slug":"adod-adaptive-domain-aware-object-detection","title":"ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments","date":"2023-12-11","arxiv_id":"2312.06801","n_code_links":1,"syntology":null},{"paper":"/paper/asf-yolo-a-novel-yolo-model-with-attentional","slug":"asf-yolo-a-novel-yolo-model-with-attentional","title":"ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation","date":"2023-12-11","arxiv_id":"2312.06458","n_code_links":1,"syntology":{"ran":2,"of":5,"n_ran_checked":2,"n_instrument":0,"unverified":3,"pointer_only":5,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["mkang315/asf-yolo"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/attribute-annotation-and-bias-evaluation-in","slug":"attribute-annotation-and-bias-evaluation-in","title":"Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving","date":"2023-12-11","arxiv_id":"2312.06306","n_code_links":1,"syntology":null},{"paper":"/paper/concrete-subspace-learning-based-interference","slug":"concrete-subspace-learning-based-interference","title":"Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion","date":"2023-12-11","arxiv_id":"2312.06173","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":9,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["tanganke/subspace_fusion"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/controlnet-xs-designing-an-efficient-and","slug":"controlnet-xs-designing-an-efficient-and","title":"ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems","date":"2023-12-11","arxiv_id":"2312.06573","n_code_links":1,"syntology":{"ran":11,"of":12,"n_ran_checked":9,"n_instrument":2,"unverified":1,"pointer_only":4,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 3 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["vislearn/ControlNet-XS"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"creating-spoken-dialog-systems-in-ultra-low","title":"Creating Spoken Dialog Systems in Ultra-Low Resourced Settings","date":"2023-12-11","arxiv_id":"2312.06266","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-driven-modeling-and-verification-of","title":"Data-Driven Modeling and Verification of Perception-Based Autonomous Systems","date":"2023-12-11","arxiv_id":"2312.06848","n_code_links":0,"syntology":null},{"paper":null,"slug":"discontrolface-disentangled-control-for","title":"DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing","date":"2023-12-11","arxiv_id":"2312.06193","n_code_links":0,"syntology":null},{"paper":null,"slug":"eend-demux-end-to-end-neural-speaker","title":"EEND-DEMUX: End-to-End Neural Speaker Diarization via Demultiplexed Speaker Embeddings","date":"2023-12-11","arxiv_id":"2312.06065","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-chatgpt-as-a-question-answering","title":"Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models","date":"2023-12-11","arxiv_id":"2312.07592","n_code_links":0,"syntology":null},{"paper":null,"slug":"human-capital-in-the-sustainable-economic","title":"Human capital in the sustainable economic development of the energy sector","date":"2023-12-11","arxiv_id":"2312.06450","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-the-robustness-of-3d-human-pose","title":"Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input","date":"2023-12-11","arxiv_id":"2312.06797","n_code_links":0,"syntology":null},{"paper":null,"slug":"internet-of-federated-digital-twins-iofdt","title":"Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0","date":"2023-12-11","arxiv_id":"2312.06432","n_code_links":0,"syntology":null},{"paper":null,"slug":"jointly-explicit-and-implicit-cross-modal","title":"Joint Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis","date":"2023-12-11","arxiv_id":"2312.06171","n_code_links":0,"syntology":null},{"paper":null,"slug":"money-time-and-grant-design","title":"Money, Time, and Grant Design","date":"2023-12-11","arxiv_id":"2312.06479","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-autoencoder-based-structure-preserving","title":"Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems","date":"2023-12-11","arxiv_id":"2312.06256","n_code_links":0,"syntology":null},{"paper":null,"slug":"non-contact-multimodal-indoor-human","title":"Non-contact Multimodal Indoor Human Monitoring Systems: A Survey","date":"2023-12-11","arxiv_id":"2312.07601","n_code_links":0,"syntology":null},{"paper":"/paper/nvfi-neural-velocity-fields-for-3d-physics-1","slug":"nvfi-neural-velocity-fields-for-3d-physics-1","title":"NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos","date":"2023-12-11","arxiv_id":"2312.06398","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["vlar-group/nvfi"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":"/paper/open-datasheets-machine-readable","slug":"open-datasheets-machine-readable","title":"Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments","date":"2023-12-11","arxiv_id":"2312.06153","n_code_links":1,"syntology":null},{"paper":"/paper/privacy-issues-in-large-language-models-a","slug":"privacy-issues-in-large-language-models-a","title":"Privacy Issues in Large Language Models: A Survey","date":"2023-12-11","arxiv_id":"2312.06717","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["safr-ml-lab/survey-llm"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"probabilistic-precipitation-downscaling-with","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","date":"2023-12-11","arxiv_id":"2312.06071","n_code_links":0,"syntology":null},{"paper":null,"slug":"relightful-harmonization-lighting-aware","title":"Relightful Harmonization: Lighting-aware Portrait Background Replacement","date":"2023-12-11","arxiv_id":"2312.06886","n_code_links":0,"syntology":null},{"paper":null,"slug":"secnn-squeeze-and-excitation-convolutional","title":"SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification","date":"2023-12-11","arxiv_id":"2312.06088","n_code_links":0,"syntology":null},{"paper":"/paper/sspnet-scale-and-spatial-priors-guided","slug":"sspnet-scale-and-spatial-priors-guided","title":"SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition","date":"2023-12-11","arxiv_id":"2312.06049","n_code_links":1,"syntology":null},{"paper":null,"slug":"stellar-systematic-evaluation-of-human","title":"Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods","date":"2023-12-11","arxiv_id":"2312.06116","n_code_links":0,"syntology":null},{"paper":"/paper/textual-prompt-guided-image-restoration","slug":"textual-prompt-guided-image-restoration","title":"Textual Prompt Guided Image Restoration","date":"2023-12-11","arxiv_id":"2312.06162","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-a-flexible-accuracy-oriented-deep","title":"Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms","date":"2023-12-11","arxiv_id":"2312.06440","n_code_links":0,"syntology":null},{"paper":null,"slug":"vehicle-lane-change-prediction-based-on","title":"Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference","date":"2023-12-11","arxiv_id":"2312.06336","n_code_links":0,"syntology":null},{"paper":"/paper/voxelkp-a-voxel-based-network-architecture","slug":"voxelkp-a-voxel-based-network-architecture","title":"VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data","date":"2023-12-11","arxiv_id":"2312.08871","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-spatial-multiscale-mathematical-model-of","title":"A spatial multiscale mathematical model of Plasmodium vivax transmission","date":"2023-12-10","arxiv_id":"2312.05722","n_code_links":0,"syntology":null},{"paper":"/paper/activating-frequency-and-vit-for-3d-point","slug":"activating-frequency-and-vit-for-3d-point","title":"Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference","date":"2023-12-10","arxiv_id":"2312.05972","n_code_links":1,"syntology":null},{"paper":"/paper/anomalydiffusion-few-shot-anomaly-image","slug":"anomalydiffusion-few-shot-anomaly-image","title":"AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model","date":"2023-12-10","arxiv_id":"2312.05767","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":8,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["sjtuplayer/anomalydiffusion"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/dynamic-adversarial-attacks-on-autonomous","slug":"dynamic-adversarial-attacks-on-autonomous","title":"Dynamic Adversarial Attacks on Autonomous Driving Systems","date":"2023-12-10","arxiv_id":"2312.06701","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["AmirhoseinCh/DynamicPatch"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"evaluating-the-utility-of-model-explanations","title":"Evaluating the Utility of Model Explanations for Model Development","date":"2023-12-10","arxiv_id":"2312.06032","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploiting-representation-bias-for-data","title":"Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization","date":"2023-12-10","arxiv_id":"2312.06022","n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-classification-of-large-time-series","title":"Fast Classification of Large Time Series Datasets","date":"2023-12-10","arxiv_id":"2312.06029","n_code_links":0,"syntology":null},{"paper":"/paper/fm-g-cam-a-holistic-approach-for-explainable","slug":"fm-g-cam-a-holistic-approach-for-explainable","title":"FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision","date":"2023-12-10","arxiv_id":"2312.05975","n_code_links":1,"syntology":null},{"paper":"/paper/gamc-an-unsupervised-method-for-fake-news","slug":"gamc-an-unsupervised-method-for-fake-news","title":"GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking","date":"2023-12-10","arxiv_id":"2312.05739","n_code_links":1,"syntology":null},{"paper":null,"slug":"il-nerf-incremental-learning-for-neural","title":"IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment","date":"2023-12-10","arxiv_id":"2312.05748","n_code_links":0,"syntology":null},{"paper":null,"slug":"maximum-flow-based-formulation-for-the","title":"Maximum flow-based formulation for the optimal location of electric vehicle charging stations","date":"2023-12-10","arxiv_id":"2312.05980","n_code_links":0,"syntology":null},{"paper":"/paper/modeling-uncertainty-in-personalized-emotion","slug":"modeling-uncertainty-in-personalized-emotion","title":"Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows","date":"2023-12-10","arxiv_id":"2312.06034","n_code_links":1,"syntology":null},{"paper":"/paper/multi-defendant-legal-judgment-prediction-via","slug":"multi-defendant-legal-judgment-prediction-via","title":"Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning","date":"2023-12-10","arxiv_id":"2312.05762","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":6,"n_instrument":1,"unverified":2,"pointer_only":9,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["currentf/hrn"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"multimodality-in-online-education-a","title":"Multimodality in Online Education: A Comparative Study","date":"2023-12-10","arxiv_id":"2312.05797","n_code_links":0,"syntology":null},{"paper":null,"slug":"novacomet-open-commonsense-foundation-models","title":"NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation","date":"2023-12-10","arxiv_id":"2312.05979","n_code_links":0,"syntology":null},{"paper":"/paper/sgnet-structure-guided-network-via-gradient","slug":"sgnet-structure-guided-network-via-gradient","title":"SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution","date":"2023-12-10","arxiv_id":"2312.05799","n_code_links":1,"syntology":null},{"paper":null,"slug":"singular-value-penalization-and-semantic-data","title":"Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation","date":"2023-12-10","arxiv_id":"2312.08378","n_code_links":0,"syntology":null},{"paper":null,"slug":"target-search-on-dna-effect-of-coiling","title":"Target search on DNA -- effect of coiling","date":"2023-12-10","arxiv_id":"2312.05876","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-performance-of-multiple-language-models","title":"The performance of multiple language models in identifying offensive language on social media","date":"2023-12-10","arxiv_id":"2312.11504","n_code_links":0,"syntology":null},{"paper":null,"slug":"at4ctr-auxiliary-match-tasks-for-enhancing","title":"AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction","date":"2023-12-09","arxiv_id":"2312.06683","n_code_links":0,"syntology":null},{"paper":"/paper/better-neural-pde-solvers-through-data-free","slug":"better-neural-pde-solvers-through-data-free","title":"Better Neural PDE Solvers Through Data-Free Mesh Movers","date":"2023-12-09","arxiv_id":"2312.05583","n_code_links":2,"syntology":{"ran":6,"of":6,"n_ran_checked":5,"n_instrument":1,"unverified":0,"pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mm-pde/mm-pde","peiyannn/mm-pde"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/dposer-diffusion-model-as-robust-3d-human","slug":"dposer-diffusion-model-as-robust-3d-human","title":"DPoser: Diffusion Model as Robust 3D Human Pose Prior","date":"2023-12-09","arxiv_id":"2312.05541","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-financial-data-visualization-for","title":"Enhancing Financial Data Visualization for Investment Decision-Making","date":"2023-12-09","arxiv_id":"2403.18822","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-robustness-of-foundation-model","title":"Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts","date":"2023-12-09","arxiv_id":"2312.05435","n_code_links":0,"syntology":null},{"paper":"/paper/exploring-the-naturalness-of-ai-generated","slug":"exploring-the-naturalness-of-ai-generated","title":"Exploring the Naturalness of AI-Generated Images","date":"2023-12-09","arxiv_id":"2312.05476","n_code_links":1,"syntology":null},{"paper":"/paper/labrador-exploring-the-limits-of-masked","slug":"labrador-exploring-the-limits-of-masked","title":"Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data","date":"2023-12-09","arxiv_id":"2312.11502","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["davidbellamy/labrador"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/learning-to-denoise-unreliable-interactions","slug":"learning-to-denoise-unreliable-interactions","title":"Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction","date":"2023-12-09","arxiv_id":"2312.06682","n_code_links":1,"syntology":null},{"paper":null,"slug":"mitigating-nonlinear-algorithmic-bias-in","title":"Mitigating Nonlinear Algorithmic Bias in Binary Classification","date":"2023-12-09","arxiv_id":"2312.05429","n_code_links":0,"syntology":null},{"paper":"/paper/multi-granularity-causal-structure-learning","slug":"multi-granularity-causal-structure-learning","title":"Multi-granularity Causal Structure Learning","date":"2023-12-09","arxiv_id":"2312.05549","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-source-domain-adaptation-for-regression","title":"Multi-source domain adaptation for regression","date":"2023-12-09","arxiv_id":"2312.05460","n_code_links":0,"syntology":null},{"paper":"/paper/pose-guidance-by-supervision-a-framework-for","slug":"pose-guidance-by-supervision-a-framework-for","title":"PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification","date":"2023-12-09","arxiv_id":"2312.05634","n_code_links":2,"syntology":null},{"paper":null,"slug":"redefining-developer-assistance-through-large","title":"Redefining Developer Assistance: Through Large Language Models in Software Ecosystem","date":"2023-12-09","arxiv_id":"2312.05626","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-overview-of-mlcommons-cloud-mask-benchmark","title":"An Overview of MLCommons Cloud Mask Benchmark: Related Research and Data","date":"2023-12-08","arxiv_id":"2312.04799","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-centric-machine-learning-for-geospatial","title":"Better, Not Just More: Data-Centric Machine Learning for Earth Observation","date":"2023-12-08","arxiv_id":"2312.05327","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-bayes-factors","title":"Deep Bayes Factors","date":"2023-12-08","arxiv_id":"2312.05411","n_code_links":0,"syntology":null},{"paper":null,"slug":"emissions-reporting-maturity-model-supporting","title":"Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence","date":"2023-12-08","arxiv_id":"2401.00857","n_code_links":0,"syntology":null},{"paper":"/paper/generative-inverse-design-of-metamaterials","slug":"generative-inverse-design-of-metamaterials","title":"Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning","date":"2023-12-08","arxiv_id":"2401.00003","n_code_links":1,"syntology":null},{"paper":null,"slug":"grasp-force-optimization-as-a-bilinear-matrix","title":"Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep Learning Approach","date":"2023-12-08","arxiv_id":"2312.05034","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-neural-machine-translation-by-multi","title":"Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting","date":"2023-12-08","arxiv_id":"2312.04807","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-user-association-interference","title":"Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications","date":"2023-12-08","arxiv_id":"2312.04786","n_code_links":0,"syntology":null},{"paper":null,"slug":"operationalizing-assurance-cases-for-data","title":"Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning","date":"2023-12-08","arxiv_id":"2312.04917","n_code_links":0,"syntology":null},{"paper":"/paper/public-policy-for-management-of-forest-pests","slug":"public-policy-for-management-of-forest-pests","title":"Public policy for management of forest pests within an ownership mosaic","date":"2023-12-08","arxiv_id":"2312.05403","n_code_links":1,"syntology":null},{"paper":null,"slug":"unbiased-filtering-of-accidental-clicks-in","title":"Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising","date":"2023-12-08","arxiv_id":"2312.05017","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-low-overhead-incorporation-extrapolation","title":"A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems","date":"2023-12-07","arxiv_id":"2312.04062","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-mathematical-model-for-the-within-host-re","title":"A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2","date":"2023-12-07","arxiv_id":"2312.04607","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-test-time-learning-approach-to","title":"A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network","date":"2023-12-07","arxiv_id":"2312.04752","n_code_links":0,"syntology":null},{"paper":null,"slug":"accelerated-real-life-arl-testing-and","title":"Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models","date":"2023-12-07","arxiv_id":"2312.04229","n_code_links":0,"syntology":null},{"paper":null,"slug":"constrained-hierarchical-clustering-via-graph","title":"Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts","date":"2023-12-07","arxiv_id":"2312.04209","n_code_links":0,"syntology":null},{"paper":null,"slug":"cross-codex-learning-for-reliable-scribe","title":"Cross-codex Learning for Reliable Scribe Identification in Medieval Manuscripts","date":"2023-12-07","arxiv_id":"2312.04296","n_code_links":0,"syntology":null},{"paper":null,"slug":"democaricature-democratising-caricature","title":"DemoCaricature: Democratising Caricature Generation with a Rough Sketch","date":"2023-12-07","arxiv_id":"2312.04364","n_code_links":0,"syntology":null},{"paper":"/paper/eulermormer-robust-eulerian-motion","slug":"eulermormer-robust-eulerian-motion","title":"EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer","date":"2023-12-07","arxiv_id":"2312.04152","n_code_links":2,"syntology":null},{"paper":null,"slug":"model-based-epistemic-variance-of-values-for","title":"Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization","date":"2023-12-07","arxiv_id":"2312.04386","n_code_links":0,"syntology":null},{"paper":null,"slug":"nerfiller-completing-scenes-via-generative-3d","title":"NeRFiller: Completing Scenes via Generative 3D Inpainting","date":"2023-12-07","arxiv_id":"2312.04560","n_code_links":0,"syntology":null},{"paper":"/paper/open-vocabulary-segmentation-with-semantic","slug":"open-vocabulary-segmentation-with-semantic","title":"Open-Vocabulary Segmentation with Semantic-Assisted Calibration","date":"2023-12-07","arxiv_id":"2312.04089","n_code_links":2,"syntology":{"ran":9,"of":10,"n_ran_checked":7,"n_instrument":2,"unverified":1,"pointer_only":10,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["workforai/scan","yongliu20/SCAN"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/polarimetric-light-transport-analysis-for","slug":"polarimetric-light-transport-analysis-for","title":"Polarimetric Light Transport Analysis for Specular Inter-reflection","date":"2023-12-07","arxiv_id":"2312.04140","n_code_links":1,"syntology":null}],"record_sha256":"a3610d96f74004bce27f4ff0f51805618b4a3042121097b5347782fd5a0c4b6d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}