{"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/73","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":73,"pages_in_order":154,"rows_per_page":100,"rows":[7201,7300],"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/72","next":"/method/focus/papers/74","papers":[{"paper":null,"slug":"2407-21665","title":"A State-of-the-Art Review of Computational Models for Analyzing Longitudinal Wearable Sensor Data in Healthcare","date":"2024-07-31","arxiv_id":"2407.21665","n_code_links":0,"syntology":null},{"paper":"/paper/2408-00057","slug":"2408-00057","title":"GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning","date":"2024-07-31","arxiv_id":"2408.00057","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-00082","title":"TASI Lectures on Physics for Machine Learning","date":"2024-07-31","arxiv_id":"2408.00082","n_code_links":0,"syntology":null},{"paper":"/paper/2408-00084","slug":"2408-00084","title":"Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)","date":"2024-07-31","arxiv_id":"2408.00084","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-00117","title":"Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods","date":"2024-07-31","arxiv_id":"2408.00117","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00129","title":"Vera Verto: Multimodal Hijacking Attack","date":"2024-07-31","arxiv_id":"2408.00129","n_code_links":0,"syntology":null},{"paper":null,"slug":"artificial-intelligence-approaches-for-energy","title":"Artificial Intelligence Approaches for Energy Efficiency: A Review","date":"2024-07-31","arxiv_id":"2407.21726","n_code_links":0,"syntology":null},{"paper":"/paper/black-box-meta-learning-intrinsic-rewards-for","slug":"black-box-meta-learning-intrinsic-rewards-for","title":"Black box meta-learning intrinsic rewards for sparse-reward environments","date":"2024-07-31","arxiv_id":"2407.21546","n_code_links":1,"syntology":null},{"paper":null,"slug":"characterizing-user-archetypes-and","title":"Characterizing User Archetypes and Discussions on Scored.co","date":"2024-07-31","arxiv_id":"2407.21753","n_code_links":0,"syntology":null},{"paper":"/paper/comgra-a-tool-for-analyzing-and-debugging","slug":"comgra-a-tool-for-analyzing-and-debugging","title":"Comgra: A Tool for Analyzing and Debugging Neural Networks","date":"2024-07-31","arxiv_id":"2407.21656","n_code_links":1,"syntology":null},{"paper":null,"slug":"design-and-development-of-laughter","title":"Design and Development of Laughter Recognition System Based on Multimodal Fusion and Deep Learning","date":"2024-07-31","arxiv_id":"2407.21391","n_code_links":0,"syntology":null},{"paper":"/paper/dual-constrained-dynamical-neural-odes-for","slug":"dual-constrained-dynamical-neural-odes-for","title":"Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction","date":"2024-07-31","arxiv_id":"2407.21344","n_code_links":1,"syntology":null},{"paper":"/paper/freqtsf-time-series-forecasting-via","slug":"freqtsf-time-series-forecasting-via","title":"Fi$^2$VTS: Time Series Forecasting Via Capturing Intra- and Inter-Variable Variations in the Frequency Domain","date":"2024-07-31","arxiv_id":"2407.21275","n_code_links":1,"syntology":null},{"paper":null,"slug":"hardware-algorithm-re-engineering-of-retinal","title":"Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation","date":"2024-07-31","arxiv_id":"2408.08320","n_code_links":0,"syntology":null},{"paper":null,"slug":"identity-consistent-diffusion-network-for","title":"Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging","date":"2024-07-31","arxiv_id":"2407.21381","n_code_links":0,"syntology":null},{"paper":"/paper/mart-multiscale-relational-transformer","slug":"mart-multiscale-relational-transformer","title":"MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction","date":"2024-07-31","arxiv_id":"2407.21635","n_code_links":1,"syntology":null},{"paper":null,"slug":"measuring-what-matters-intrinsic-distance","title":"Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality","date":"2024-07-31","arxiv_id":"2407.21590","n_code_links":0,"syntology":null},{"paper":"/paper/on-the-perturbed-states-for-transformed-input","slug":"on-the-perturbed-states-for-transformed-input","title":"On the Perturbed States for Transformed Input-robust Reinforcement Learning","date":"2024-07-31","arxiv_id":"2408.00023","n_code_links":1,"syntology":null},{"paper":"/paper/segment-anything-for-videos-a-systematic","slug":"segment-anything-for-videos-a-systematic","title":"Segment Anything for Videos: A Systematic Survey","date":"2024-07-31","arxiv_id":"2408.08315","n_code_links":2,"syntology":null},{"paper":"/paper/small-object-few-shot-segmentation-for-vision","slug":"small-object-few-shot-segmentation-for-vision","title":"Small Object Few-shot Segmentation for Vision-based Industrial Inspection","date":"2024-07-31","arxiv_id":"2407.21351","n_code_links":1,"syntology":null},{"paper":"/paper/tinychirp-bird-song-recognition-using-tinyml","slug":"tinychirp-bird-song-recognition-using-tinyml","title":"TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors","date":"2024-07-31","arxiv_id":"2407.21453","n_code_links":2,"syntology":null},{"paper":null,"slug":"understanding-brain-aging-across-populations","title":"Understanding Brain Aging Across Populations: A Comprehensive Framework for Structural Analysis","date":"2024-07-31","arxiv_id":"2408.07280","n_code_links":0,"syntology":null},{"paper":null,"slug":"unifying-event-based-flow-stereo-and-depth","title":"EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching","date":"2024-07-31","arxiv_id":"2407.21735","n_code_links":0,"syntology":null},{"paper":"/paper/was-dataset-and-methods-for-artistic-text","slug":"was-dataset-and-methods-for-artistic-text","title":"WAS: Dataset and Methods for Artistic Text Segmentation","date":"2024-07-31","arxiv_id":"2408.00106","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-tutorial-on-the-use-of-physics-informed","title":"A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems","date":"2024-07-30","arxiv_id":"2407.20669","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-evidence-based-methodology-for-human","title":"An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems","date":"2024-07-30","arxiv_id":"2407.20951","n_code_links":0,"syntology":null},{"paper":"/paper/boosting-efficiency-in-task-agnostic","slug":"boosting-efficiency-in-task-agnostic","title":"Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge","date":"2024-07-30","arxiv_id":"2407.20506","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["cmach508/causalexploration"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"contrastive-feedback-mechanism-for","title":"Contrastive Feedback Mechanism for Simultaneous Speech Translation","date":"2024-07-30","arxiv_id":"2407.20524","n_code_links":0,"syntology":null},{"paper":null,"slug":"distributed-adaptive-time-varying","title":"Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence","date":"2024-07-30","arxiv_id":"2407.20897","n_code_links":0,"syntology":null},{"paper":"/paper/dynamic-scene-understanding-through-object","slug":"dynamic-scene-understanding-through-object","title":"Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering","date":"2024-07-30","arxiv_id":"2407.20908","n_code_links":1,"syntology":null},{"paper":null,"slug":"ear-edge-aware-reconstruction-of-3-d","title":"EAR: Edge-Aware Reconstruction of 3-D vertebrae structures from bi-planar X-ray images","date":"2024-07-30","arxiv_id":"2407.20937","n_code_links":0,"syntology":null},{"paper":null,"slug":"hypermm-robust-multimodal-learning-with","title":"HyperMM : Robust Multimodal Learning with Varying-sized Inputs","date":"2024-07-30","arxiv_id":"2407.20768","n_code_links":0,"syntology":null},{"paper":null,"slug":"impact-of-geographical-separation-on-spectrum","title":"Impact of Geographical Separation on Spectrum Sharing Markets","date":"2024-07-30","arxiv_id":"2407.20909","n_code_links":0,"syntology":null},{"paper":"/paper/integer-valued-training-and-spike-driven","slug":"integer-valued-training-and-spike-driven","title":"Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection","date":"2024-07-30","arxiv_id":"2407.20708","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["biclab/spikeyolo"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"interpreting-and-mitigating-hallucination-in","title":"Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate","date":"2024-07-30","arxiv_id":"2407.20505","n_code_links":0,"syntology":null},{"paper":null,"slug":"knowledge-fused-recognition-fusing","title":"Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning","date":"2024-07-30","arxiv_id":"2407.20600","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-multi-facet-paths-for","title":"Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning","date":"2024-07-30","arxiv_id":"2407.20648","n_code_links":0,"syntology":null},{"paper":null,"slug":"mambacapsule-towards-transparent-cardiac","title":"MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network","date":"2024-07-30","arxiv_id":"2407.20893","n_code_links":0,"syntology":null},{"paper":"/paper/the-entrapment-problem-in-random-walk","slug":"the-entrapment-problem-in-random-walk","title":"The Entrapment Problem in Random Walk Decentralized Learning","date":"2024-07-30","arxiv_id":"2407.20611","n_code_links":1,"syntology":null},{"paper":null,"slug":"2407-21075","title":"Apple Intelligence Foundation Language Models","date":"2024-07-29","arxiv_id":"2407.21075","n_code_links":0,"syntology":null},{"paper":"/paper/a-good-bot-always-knows-its-limitations","slug":"a-good-bot-always-knows-its-limitations","title":"\"A Good Bot Always Knows Its Limitations\": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence","date":"2024-07-29","arxiv_id":"2407.19631","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-model-generalization-study-in-localizing","title":"A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset","date":"2024-07-29","arxiv_id":"2407.20372","n_code_links":0,"syntology":null},{"paper":"/paper/advancing-multimodal-large-language-models-in","slug":"advancing-multimodal-large-language-models-in","title":"Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning","date":"2024-07-29","arxiv_id":"2407.20174","n_code_links":1,"syntology":null},{"paper":null,"slug":"application-of-unsupervised-artificial-neural","title":"Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors","date":"2024-07-29","arxiv_id":"2408.05110","n_code_links":0,"syntology":null},{"paper":"/paper/can-editing-llms-inject-harm","slug":"can-editing-llms-inject-harm","title":"Can Editing LLMs Inject Harm?","date":"2024-07-29","arxiv_id":"2407.20224","n_code_links":1,"syntology":{"ran":10,"of":13,"n_ran_checked":7,"n_instrument":3,"unverified":3,"pointer_only":3,"phrase":"10 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; 3 where Syntology's instrument failed) · 3 unverified","official":null}},{"paper":null,"slug":"classification-matters-improving-video-action","title":"Classification Matters: Improving Video Action Detection with Class-Specific Attention","date":"2024-07-29","arxiv_id":"2407.19698","n_code_links":0,"syntology":null},{"paper":null,"slug":"comneck-bridging-compressed-image-latents-and","title":"Bridging Compressed Image Latents and Multimodal Large Language Models","date":"2024-07-29","arxiv_id":"2407.19651","n_code_links":0,"syntology":null},{"paper":null,"slug":"cool-fusion-fuse-large-language-models","title":"Cool-Fusion: Fuse Large Language Models without Training","date":"2024-07-29","arxiv_id":"2407.19807","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficiently-and-effectively-a-two-stage","title":"Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification","date":"2024-07-29","arxiv_id":"2407.19687","n_code_links":0,"syntology":null},{"paper":null,"slug":"experimenting-on-markov-decision-processes","title":"Experimenting on Markov Decision Processes with Local Treatments","date":"2024-07-29","arxiv_id":"2407.19618","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-large-language-models-to-generate","title":"Exploring Large Language Models to generate Easy to Read content","date":"2024-07-29","arxiv_id":"2407.20046","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-robust-face-voice-matching-in","title":"Exploring Robust Face-Voice Matching in Multilingual Environments","date":"2024-07-29","arxiv_id":"2407.19875","n_code_links":0,"syntology":null},{"paper":null,"slug":"freelong-training-free-long-video-generation","title":"FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention","date":"2024-07-29","arxiv_id":"2407.19918","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalization-bounds-for-regression-and","title":"Generalization bounds for regression and classification on adaptive covering input domains","date":"2024-07-29","arxiv_id":"2407.19715","n_code_links":0,"syntology":null},{"paper":"/paper/global-structure-from-motion-revisited","slug":"global-structure-from-motion-revisited","title":"Global Structure-from-Motion Revisited","date":"2024-07-29","arxiv_id":"2407.20219","n_code_links":1,"syntology":null},{"paper":null,"slug":"llms-understanding-of-natural-language","title":"LLMs' Understanding of Natural Language Revealed","date":"2024-07-29","arxiv_id":"2407.19630","n_code_links":0,"syntology":null},{"paper":null,"slug":"qaea-dr-a-unified-text-augmentation-framework","title":"QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval","date":"2024-07-29","arxiv_id":"2407.20207","n_code_links":0,"syntology":null},{"paper":null,"slug":"rethinking-rgb-d-fusion-for-semantic","title":"Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets","date":"2024-07-29","arxiv_id":"2407.19714","n_code_links":0,"syntology":null},{"paper":null,"slug":"retinex-diffusion-on-controlling-illumination","title":"Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory","date":"2024-07-29","arxiv_id":"2407.20785","n_code_links":0,"syntology":null},{"paper":"/paper/smart-language-agents-in-real-world-planning","slug":"smart-language-agents-in-real-world-planning","title":"Smart Language Agents in Real-World Planning","date":"2024-07-29","arxiv_id":"2407.19667","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-family-of-lml-detectors-and-the-family-of","title":"The Family of LML Detectors and the Family of LAS Detectors for Massive MIMO Communications","date":"2024-07-29","arxiv_id":"2407.19709","n_code_links":0,"syntology":null},{"paper":null,"slug":"unqa-unified-no-reference-quality-assessment","title":"UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content","date":"2024-07-29","arxiv_id":"2407.19704","n_code_links":0,"syntology":null},{"paper":null,"slug":"vortsdf-3d-modeling-with-centroidal-voronoi","title":"VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field","date":"2024-07-29","arxiv_id":"2407.19837","n_code_links":0,"syntology":null},{"paper":"/paper/asi-seg-audio-driven-surgical-instrument","slug":"asi-seg-audio-driven-surgical-instrument","title":"ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding","date":"2024-07-28","arxiv_id":"2407.19435","n_code_links":1,"syntology":null},{"paper":"/paper/depth-wise-convolutions-in-vision","slug":"depth-wise-convolutions-in-vision","title":"Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets","date":"2024-07-28","arxiv_id":"2407.19394","n_code_links":1,"syntology":{"ran":13,"of":16,"n_ran_checked":11,"n_instrument":2,"unverified":3,"pointer_only":16,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 2 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["ztx-100/efficient_vit_with_dw"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/ftf-er-feature-topology-fusion-based","slug":"ftf-er-feature-topology-fusion-based","title":"FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning","date":"2024-07-28","arxiv_id":"2407.19429","n_code_links":1,"syntology":null},{"paper":null,"slug":"gnn-based-joint-channel-and-power-allocation","title":"GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks","date":"2024-07-28","arxiv_id":"2408.03957","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-domain-adaptation-through-class","title":"Improving Domain Adaptation Through Class Aware Frequency Transformation","date":"2024-07-28","arxiv_id":"2407.19551","n_code_links":0,"syntology":null},{"paper":null,"slug":"llavadi-what-matters-for-multimodal-large","title":"LLAVADI: What Matters For Multimodal Large Language Models Distillation","date":"2024-07-28","arxiv_id":"2407.19409","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-modal-imaging-genomics-transformer","title":"Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification","date":"2024-07-28","arxiv_id":"2407.19385","n_code_links":0,"syntology":null},{"paper":null,"slug":"rouser-robust-snn-training-using-adaptive","title":"To Spike or Not to Spike, that is the Question","date":"2024-07-28","arxiv_id":"2407.19566","n_code_links":0,"syntology":null},{"paper":"/paper/univoxel-fast-inverse-rendering-by-unified","slug":"univoxel-fast-inverse-rendering-by-unified","title":"UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation","date":"2024-07-28","arxiv_id":"2407.19542","n_code_links":1,"syntology":null},{"paper":"/paper/wecromcl-weakly-supervised-cross-modality","slug":"wecromcl-weakly-supervised-cross-modality","title":"WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting","date":"2024-07-28","arxiv_id":"2407.19507","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":5,"n_instrument":3,"unverified":3,"pointer_only":11,"phrase":"8 ran (of which 4 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["ZhengyaoFang/WeCromCL"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":4,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/can-modifying-data-address-graph-domain","slug":"can-modifying-data-address-graph-domain","title":"Can Modifying Data Address Graph Domain Adaptation?","date":"2024-07-27","arxiv_id":"2407.19311","n_code_links":1,"syntology":null},{"paper":null,"slug":"data-processing-techniques-for-modern","title":"Data Processing Techniques for Modern Multimodal Models","date":"2024-07-27","arxiv_id":"2407.19180","n_code_links":0,"syntology":null},{"paper":null,"slug":"economic-struggles-and-inflation-how-does","title":"Economic Struggles and Inflation: How Does that affect voting decision?","date":"2024-07-27","arxiv_id":"2408.05223","n_code_links":0,"syntology":null},{"paper":null,"slug":"farssibert-a-novel-transformer-based-model","title":"FarSSiBERT: A Novel Transformer-based Model for Semantic Similarity Measurement of Persian Social Networks Informal Texts","date":"2024-07-27","arxiv_id":"2407.19173","n_code_links":0,"syntology":null},{"paper":null,"slug":"few-shot-medical-image-segmentation-with-2","title":"Few-Shot Medical Image Segmentation with Large Kernel Attention","date":"2024-07-27","arxiv_id":"2407.19148","n_code_links":0,"syntology":null},{"paper":null,"slug":"rethinking-attention-module-design-for-point","title":"Rethinking Attention Module Design for Point Cloud Analysis","date":"2024-07-27","arxiv_id":"2407.19294","n_code_links":0,"syntology":null},{"paper":null,"slug":"accuracy-privacy-trade-off-in-the-mitigation","title":"Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning","date":"2024-07-26","arxiv_id":"2407.19119","n_code_links":0,"syntology":null},{"paper":"/paper/boosting-cross-domain-point-classification","slug":"boosting-cross-domain-point-classification","title":"Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers","date":"2024-07-26","arxiv_id":"2407.18534","n_code_links":1,"syntology":null},{"paper":null,"slug":"constructing-enhanced-mutual-information-for","title":"Constructing Enhanced Mutual Information for Online Class-Incremental Learning","date":"2024-07-26","arxiv_id":"2407.18526","n_code_links":0,"syntology":null},{"paper":null,"slug":"dtformer-a-transformer-based-method-for","title":"DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning","date":"2024-07-26","arxiv_id":"2407.18523","n_code_links":0,"syntology":null},{"paper":"/paper/hybriddepth-robust-depth-fusion-for-mobile-ar","slug":"hybriddepth-robust-depth-fusion-for-mobile-ar","title":"HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors","date":"2024-07-26","arxiv_id":"2407.18443","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":7,"phrase":"6 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; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["cake-lab/hybriddepth"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/modality-balanced-learning-for-multimedia","slug":"modality-balanced-learning-for-multimedia","title":"Modality-Balanced Learning for Multimedia Recommendation","date":"2024-07-26","arxiv_id":"2408.06360","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-agent-deep-reinforcement-learning-for-18","title":"Multi-Agent Deep Reinforcement Learning for Energy Efficient Multi-Hop STAR-RIS-Assisted Transmissions","date":"2024-07-26","arxiv_id":"2407.18627","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-number-of-observation-nodes-in-boolean","title":"On the Number of Observation Nodes in Boolean Networks","date":"2024-07-26","arxiv_id":"2407.18560","n_code_links":0,"syntology":null},{"paper":null,"slug":"rapid-likelihood-free-inference-of-compact","title":"Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware","date":"2024-07-26","arxiv_id":"2407.19048","n_code_links":0,"syntology":null},{"paper":null,"slug":"uniforensics-face-forgery-detection-via","title":"UniForensics: Face Forgery Detection via General Facial Representation","date":"2024-07-26","arxiv_id":"2407.19079","n_code_links":0,"syntology":null},{"paper":null,"slug":"using-gpt-4-to-guide-causal-machine-learning","title":"Using GPT-4 to guide causal machine learning","date":"2024-07-26","arxiv_id":"2407.18607","n_code_links":0,"syntology":null},{"paper":null,"slug":"utilizing-tts-synthesized-data-for-efficient","title":"Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model","date":"2024-07-26","arxiv_id":"2407.18879","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01455","title":"Ontology of Belief Diversity: A Community-Based Epistemological Approach","date":"2024-07-25","arxiv_id":"2408.01455","n_code_links":0,"syntology":null},{"paper":null,"slug":"amortized-active-learning-for-nonparametric","title":"Amortized Active Learning for Nonparametric Functions","date":"2024-07-25","arxiv_id":"2407.17992","n_code_links":0,"syntology":null},{"paper":null,"slug":"closing-the-gap-between-open-source-and","title":"Closing the gap between open-source and commercial large language models for medical evidence summarization","date":"2024-07-25","arxiv_id":"2408.00588","n_code_links":0,"syntology":null},{"paper":"/paper/cswin-unet-transformer-unet-with-cross-shaped","slug":"cswin-unet-transformer-unet-with-cross-shaped","title":"CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation","date":"2024-07-25","arxiv_id":"2407.18070","n_code_links":1,"syntology":null},{"paper":null,"slug":"dam-towards-a-foundation-model-for-time","title":"DAM: Towards A Foundation Model for Time Series Forecasting","date":"2024-07-25","arxiv_id":"2407.17880","n_code_links":0,"syntology":null},{"paper":"/paper/dinov2-rocks-geological-image-analysis","slug":"dinov2-rocks-geological-image-analysis","title":"DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability","date":"2024-07-25","arxiv_id":"2407.18100","n_code_links":1,"syntology":null},{"paper":"/paper/efficient-inference-of-vision-instruction","slug":"efficient-inference-of-vision-instruction","title":"Efficient Inference of Vision Instruction-Following Models with Elastic Cache","date":"2024-07-25","arxiv_id":"2407.18121","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":2,"n_instrument":3,"unverified":0,"pointer_only":0,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["liuzuyan/elasticcache"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"enhancing-eye-disease-diagnosis-with-deep","title":"Enhancing Eye Disease Diagnosis with Deep Learning and Synthetic Data Augmentation","date":"2024-07-25","arxiv_id":"2407.17755","n_code_links":0,"syntology":null},{"paper":"/paper/exploring-the-limitations-of-kolmogorov","slug":"exploring-the-limitations-of-kolmogorov","title":"Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation","date":"2024-07-25","arxiv_id":"2407.17790","n_code_links":1,"syntology":null}],"record_sha256":"653dcb2c783372404e40df479930c95ce7bd484024840dcefa49cd8321670349","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}