{"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/142","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":142,"pages_in_order":154,"rows_per_page":100,"rows":[14101,14200],"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/141","next":"/method/focus/papers/143","papers":[{"paper":null,"slug":"a-unified-interactive-model-evaluation-for","title":"A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision","date":"2023-08-09","arxiv_id":"2308.05168","n_code_links":0,"syntology":null},{"paper":null,"slug":"admus-a-progressive-question-answering","title":"ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources","date":"2023-08-09","arxiv_id":"2308.04800","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-enabled-software-and-system-architecture","title":"Enhancing Architecture Frameworks by Including Modern Stakeholders and their Views/Viewpoints","date":"2023-08-09","arxiv_id":"2308.05239","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-interpretable-and-attention-based-method","title":"An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography","date":"2023-08-09","arxiv_id":"2308.05768","n_code_links":0,"syntology":null},{"paper":null,"slug":"answering-unseen-questions-with-smaller","title":"Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval","date":"2023-08-09","arxiv_id":"2308.04711","n_code_links":0,"syntology":null},{"paper":null,"slug":"building-interpretable-and-reliable-open","title":"Building Interpretable and Reliable Open Information Retriever for New Domains Overnight","date":"2023-08-09","arxiv_id":"2308.04756","n_code_links":0,"syntology":null},{"paper":"/paper/casciff-a-cross-domain-information-fusion","slug":"casciff-a-cross-domain-information-fusion","title":"CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks","date":"2023-08-09","arxiv_id":"2308.04961","n_code_links":1,"syntology":null},{"paper":null,"slug":"cross-lingual-constituency-parsing-for-middle","title":"Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach","date":"2023-08-09","arxiv_id":"2308.04645","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-free-model-extraction-attacks-in-the","title":"Data-Free Model Extraction Attacks in the Context of Object Detection","date":"2023-08-09","arxiv_id":"2308.05127","n_code_links":0,"syntology":null},{"paper":"/paper/dual-intents-graph-modeling-for-user-centric","slug":"dual-intents-graph-modeling-for-user-centric","title":"Dual Intents Graph Modeling for User-centric Group Discovery","date":"2023-08-09","arxiv_id":"2308.05013","n_code_links":1,"syntology":null},{"paper":null,"slug":"emotion-conditioned-text-generation-through","title":"Emotion-Conditioned Text Generation through Automatic Prompt Optimization","date":"2023-08-09","arxiv_id":"2308.04857","n_code_links":0,"syntology":null},{"paper":null,"slug":"entire-space-cascade-delayed-feedback","title":"Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction","date":"2023-08-09","arxiv_id":"2308.04768","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalized-unbiased-scene-graph-generation","title":"Generalized Unbiased Scene Graph Generation","date":"2023-08-09","arxiv_id":"2308.04802","n_code_links":0,"syntology":null},{"paper":null,"slug":"high-level-features-parallelization-for","title":"High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention","date":"2023-08-09","arxiv_id":"2308.05128","n_code_links":0,"syntology":null},{"paper":"/paper/learning-scene-pedestrian-graph-for-end-to","slug":"learning-scene-pedestrian-graph-for-end-to","title":"Learning Scene-Pedestrian Graph for End to end Person Search","date":"2023-08-09","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"long-distance-gesture-recognition-using","title":"Long-Distance Gesture Recognition using Dynamic Neural Networks","date":"2023-08-09","arxiv_id":"2308.04643","n_code_links":0,"syntology":null},{"paper":"/paper/pointmbf-a-multi-scale-bidirectional-fusion","slug":"pointmbf-a-multi-scale-bidirectional-fusion","title":"PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration","date":"2023-08-09","arxiv_id":"2308.04782","n_code_links":1,"syntology":{"ran":13,"of":18,"n_ran_checked":12,"n_instrument":1,"unverified":5,"pointer_only":18,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 1 violated, 11 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["phdymz/pointmbf"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"school-choice-with-multiple-priorities","title":"School Choice with Multiple Priorities","date":"2023-08-09","arxiv_id":"2308.04780","n_code_links":0,"syntology":null},{"paper":null,"slug":"statistical-decision-theory-respecting","title":"Statistical Decision Theory Respecting Stochastic Dominance","date":"2023-08-09","arxiv_id":"2308.05171","n_code_links":0,"syntology":null},{"paper":"/paper/towards-true-discovery-of-the-differential","slug":"towards-true-discovery-of-the-differential","title":"Towards true discovery of the differential equations","date":"2023-08-09","arxiv_id":"2308.04901","n_code_links":1,"syntology":null},{"paper":null,"slug":"vast-vivify-your-talking-avatar-via-zero-shot","title":"VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer","date":"2023-08-09","arxiv_id":"2308.04830","n_code_links":0,"syntology":null},{"paper":"/paper/vector-quantization-loss-analysis-in-vqgans-a","slug":"vector-quantization-loss-analysis-in-vqgans-a","title":"Vector quantization loss analysis in VQGANs: a single-GPU ablation study for image-to-image synthesis","date":"2023-08-09","arxiv_id":"2308.05242","n_code_links":1,"syntology":null},{"paper":null,"slug":"adding-why-to-what-analyses-of-an-everyday","title":"Adding Why to What? Analyses of an Everyday Explanation","date":"2023-08-08","arxiv_id":"2308.04187","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-chatbots-as-multi-role-pedagogical-agents","title":"AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education","date":"2023-08-08","arxiv_id":"2308.03992","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-empirical-analysis-of-range-for-3d-object","title":"An Empirical Analysis of Range for 3D Object Detection","date":"2023-08-08","arxiv_id":"2308.04054","n_code_links":0,"syntology":null},{"paper":null,"slug":"assistive-chatbots-for-healthcare-a-succinct","title":"Assistive Chatbots for healthcare: a succinct review","date":"2023-08-08","arxiv_id":"2308.04178","n_code_links":0,"syntology":null},{"paper":null,"slug":"backdoor-federated-learning-by-poisoning","title":"Backdoor Federated Learning by Poisoning Backdoor-Critical Layers","date":"2023-08-08","arxiv_id":"2308.04466","n_code_links":0,"syntology":null},{"paper":"/paper/constructing-custom-thermodynamics-using-deep","slug":"constructing-custom-thermodynamics-using-deep","title":"Constructing Custom Thermodynamics Using Deep Learning","date":"2023-08-08","arxiv_id":"2308.04119","n_code_links":1,"syntology":null},{"paper":"/paper/empowering-vision-language-models-to-follow","slug":"empowering-vision-language-models-to-follow","title":"Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions","date":"2023-08-08","arxiv_id":"2308.04152","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":2,"n_instrument":8,"unverified":2,"pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 8 where Syntology's instrument failed) · 2 unverified","official":{"repos":["dcdmllm/cheetah"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"exploring-transformers-for-open-world","title":"Exploring Transformers for Open-world Instance Segmentation","date":"2023-08-08","arxiv_id":"2308.04206","n_code_links":0,"syntology":null},{"paper":null,"slug":"iterative-sketching-for-secure-coded","title":"Iterative Sketching for Secure Coded Regression","date":"2023-08-08","arxiv_id":"2308.04185","n_code_links":0,"syntology":null},{"paper":null,"slug":"msac-multiple-speech-attribute-control-method","title":"MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition","date":"2023-08-08","arxiv_id":"2308.04025","n_code_links":0,"syntology":null},{"paper":"/paper/online-distillation-enhanced-multi-modal","slug":"online-distillation-enhanced-multi-modal","title":"Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation","date":"2023-08-08","arxiv_id":"2308.04067","n_code_links":1,"syntology":null},{"paper":null,"slug":"optimizing-algorithms-from-pairwise-user","title":"Optimizing Algorithms From Pairwise User Preferences","date":"2023-08-08","arxiv_id":"2308.04571","n_code_links":0,"syntology":null},{"paper":null,"slug":"parallel-learning-by-multitasking-neural","title":"Parallel Learning by Multitasking Neural Networks","date":"2023-08-08","arxiv_id":"2308.04106","n_code_links":0,"syntology":null},{"paper":null,"slug":"proceedings-of-the-first-edition-of-the","title":"Proceedings of the first edition of the International Symposium on Computational Sensing (ISCS23)","date":"2023-08-08","arxiv_id":"2308.04228","n_code_links":0,"syntology":null},{"paper":null,"slug":"review-of-contemporary-energy-harvesting","title":"Review of Contemporary Energy Harvesting Techniques and Their Feasibility in Wireless Geophones","date":"2023-08-08","arxiv_id":"2308.04110","n_code_links":0,"syntology":null},{"paper":"/paper/single-sentence-reader-a-novel-approach-for","slug":"single-sentence-reader-a-novel-approach-for","title":"Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias","date":"2023-08-08","arxiv_id":"2308.04566","n_code_links":1,"syntology":null},{"paper":null,"slug":"teacher-student-architecture-for-knowledge-1","title":"Teacher-Student Architecture for Knowledge Distillation: A Survey","date":"2023-08-08","arxiv_id":"2308.04268","n_code_links":0,"syntology":null},{"paper":"/paper/v-detr-detr-with-vertex-relative-position","slug":"v-detr-detr-with-vertex-relative-position","title":"V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection","date":"2023-08-08","arxiv_id":"2308.04409","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":7,"n_instrument":3,"unverified":2,"pointer_only":2,"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) · 2 unverified","official":{"repos":["yichaoshen-ms/v-detr"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/your-negative-may-not-be-true-negative","slug":"your-negative-may-not-be-true-negative","title":"Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination","date":"2023-08-08","arxiv_id":"2308.04380","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["luminosityx/fne"],"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/a-benchmark-for-chinese-english-scene-text","slug":"a-benchmark-for-chinese-english-scene-text","title":"A Benchmark for Chinese-English Scene Text Image Super-resolution","date":"2023-08-07","arxiv_id":"2308.03262","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":["mjq11302010044/real-ce"],"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/balanced-face-dataset-guiding-stylegan-to","slug":"balanced-face-dataset-guiding-stylegan-to","title":"Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group","date":"2023-08-07","arxiv_id":"2308.03495","n_code_links":1,"syntology":null},{"paper":"/paper/bilevel-generative-learning-for-low-light","slug":"bilevel-generative-learning-for-low-light","title":"Bilevel Generative Learning for Low-Light Vision","date":"2023-08-07","arxiv_id":"2308.03381","n_code_links":1,"syntology":null},{"paper":"/paper/cross-silo-prototypical-calibration-for","slug":"cross-silo-prototypical-calibration-for","title":"Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data","date":"2023-08-07","arxiv_id":"2308.03457","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":["qizhuang-qz/fedcspc"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":null,"slug":"dsformer-a-double-sampling-transformer-for","title":"DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction","date":"2023-08-07","arxiv_id":"2308.03274","n_code_links":0,"syntology":null},{"paper":null,"slug":"energy-efficient-time-modulated-beam-forming","title":"Energy-efficient Time-modulated Beam-forming for Joint Communication-Radar Systems","date":"2023-08-07","arxiv_id":"2308.03383","n_code_links":0,"syntology":null},{"paper":"/paper/environment-invariant-curriculum-relation","slug":"environment-invariant-curriculum-relation","title":"Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation","date":"2023-08-07","arxiv_id":"2308.03282","n_code_links":1,"syntology":null},{"paper":null,"slug":"estimation-of-complex-valued-laplacian","title":"Estimation of Complex Valued Laplacian Matrices for Topology Identification in Power Systems","date":"2023-08-07","arxiv_id":"2308.03392","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-and-explaining-large-language","title":"Evaluating and Explaining Large Language Models for Code Using Syntactic Structures","date":"2023-08-07","arxiv_id":"2308.03873","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-few-shot-and-zero-shot-entity","title":"Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever","date":"2023-08-07","arxiv_id":"2308.03365","n_code_links":0,"syntology":null},{"paper":"/paper/learning-a-graph-neural-network-with-cross","slug":"learning-a-graph-neural-network-with-cross","title":"Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion","date":"2023-08-07","arxiv_id":"2308.03256","n_code_links":1,"syntology":null},{"paper":"/paper/lighting-every-darkness-in-two-pairs-a","slug":"lighting-every-darkness-in-two-pairs-a","title":"Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model","date":"2023-08-07","arxiv_id":"2308.03448","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":7,"n_instrument":1,"unverified":3,"pointer_only":11,"phrase":"8 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; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["srameo/led"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"local-structure-aware-graph-contrastive","title":"Local Structure-aware Graph Contrastive Representation Learning","date":"2023-08-07","arxiv_id":"2308.03271","n_code_links":0,"syntology":null},{"paper":"/paper/no-length-left-behind-enhancing-knowledge","slug":"no-length-left-behind-enhancing-knowledge","title":"No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths","date":"2023-08-07","arxiv_id":"2308.03488","n_code_links":1,"syntology":null},{"paper":null,"slug":"sensing-communication-computing-control","title":"Control-Oriented Deep Space Communications For Unmanned Space Exploration","date":"2023-08-07","arxiv_id":"2308.03658","n_code_links":0,"syntology":null},{"paper":null,"slug":"stock-market-price-prediction-a-hybrid-lstm","title":"Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach","date":"2023-08-07","arxiv_id":"2308.04419","n_code_links":0,"syntology":null},{"paper":"/paper/synjax-structured-probability-distributions","slug":"synjax-structured-probability-distributions","title":"SynJax: Structured Probability Distributions for JAX","date":"2023-08-07","arxiv_id":"2308.03291","n_code_links":3,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"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) · 0 unverified","official":{"repos":["deepmind/synjax","google-deepmind/synjax","stanojevic/fast-mst-algorithm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/tiny-lvlm-ehub-early-multimodal-experiments","slug":"tiny-lvlm-ehub-early-multimodal-experiments","title":"TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models","date":"2023-08-07","arxiv_id":"2308.03729","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-controllable-natural-language","title":"Towards Controllable Natural Language Inference through Lexical Inference Types","date":"2023-08-07","arxiv_id":"2308.03581","n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-aware-consistency-learning-for","title":"Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation","date":"2023-08-07","arxiv_id":"2308.03470","n_code_links":0,"syntology":null},{"paper":null,"slug":"all-in-one-multi-degradation-image","title":"All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation","date":"2023-08-06","arxiv_id":"2308.03021","n_code_links":0,"syntology":null},{"paper":null,"slug":"brighten-and-colorize-a-decoupled-network-for","title":"Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement","date":"2023-08-06","arxiv_id":"2308.03029","n_code_links":0,"syntology":null},{"paper":null,"slug":"building-safe-and-reliable-ai-systems-for","title":"Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing","date":"2023-08-06","arxiv_id":"2308.03176","n_code_links":0,"syntology":null},{"paper":null,"slug":"introducing-feature-attention-module-on","title":"Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection","date":"2023-08-06","arxiv_id":"2308.02985","n_code_links":0,"syntology":null},{"paper":null,"slug":"microvasculature-segmentation-in-human","title":"Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)","date":"2023-08-06","arxiv_id":"2308.03203","n_code_links":0,"syntology":null},{"paper":null,"slug":"msigsdk-private-at-scale-computation-of","title":"mSigSDK -- private, at scale, computation of mutation signatures","date":"2023-08-06","arxiv_id":"2308.02995","n_code_links":0,"syntology":null},{"paper":"/paper/novel-class-discovery-for-long-tailed","slug":"novel-class-discovery-for-long-tailed","title":"Novel Class Discovery for Long-tailed Recognition","date":"2023-08-06","arxiv_id":"2308.02989","n_code_links":1,"syntology":{"ran":8,"of":13,"n_ran_checked":8,"n_instrument":0,"unverified":5,"pointer_only":13,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["kleinzcy/ncdlr"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/topiq-a-top-down-approach-from-semantics-to","slug":"topiq-a-top-down-approach-from-semantics-to","title":"TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment","date":"2023-08-06","arxiv_id":"2308.03060","n_code_links":1,"syntology":{"ran":4,"of":10,"n_ran_checked":4,"n_instrument":0,"unverified":6,"pointer_only":10,"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) · 6 unverified","official":{"repos":["chaofengc/iqa-pytorch"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/unmasking-the-invisible-finding-location","slug":"unmasking-the-invisible-finding-location","title":"Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network","date":"2023-08-06","arxiv_id":"2308.03200","n_code_links":1,"syntology":null},{"paper":null,"slug":"generative-adversarial-networks-for-stain","title":"Generative Adversarial Networks for Stain Normalisation in Histopathology","date":"2023-08-05","arxiv_id":"2308.02851","n_code_links":0,"syntology":null},{"paper":"/paper/one-stage-low-resolution-text-recognition","slug":"one-stage-low-resolution-text-recognition","title":"One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer","date":"2023-08-05","arxiv_id":"2308.02770","n_code_links":1,"syntology":null},{"paper":null,"slug":"treatment-effects-in-staggered-adoption","title":"Treatment Effects in Staggered Adoption Designs with Non-Parallel Trends","date":"2023-08-05","arxiv_id":"2308.02899","n_code_links":0,"syntology":null},{"paper":"/paper/unfolding-once-is-enough-a-deployment","slug":"unfolding-once-is-enough-a-deployment","title":"Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution","date":"2023-08-05","arxiv_id":"2308.02794","n_code_links":1,"syntology":null},{"paper":"/paper/adaptive-proximal-gradient-method-for-convex","slug":"adaptive-proximal-gradient-method-for-convex","title":"Adaptive Proximal Gradient Method for Convex Optimization","date":"2023-08-04","arxiv_id":"2308.02261","n_code_links":1,"syntology":null},{"paper":null,"slug":"attention-driven-lightweight-model-for","title":"Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection","date":"2023-08-04","arxiv_id":"2308.02119","n_code_links":0,"syntology":null},{"paper":null,"slug":"blindsage-label-inference-attacks-against","title":"Label Inference Attacks against Node-level Vertical Federated GNNs","date":"2023-08-04","arxiv_id":"2308.02465","n_code_links":0,"syntology":null},{"paper":null,"slug":"class-incremental-learning-with-self","title":"Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning","date":"2023-08-04","arxiv_id":"2308.02346","n_code_links":0,"syntology":null},{"paper":"/paper/ct-reconstruction-from-few-planar-x-rays-with","slug":"ct-reconstruction-from-few-planar-x-rays-with","title":"CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy","date":"2023-08-04","arxiv_id":"2308.02100","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-learning-for-spike-detection-in-deep","title":"Deep learning for spike detection in deep brain stimulation surgery","date":"2023-08-04","arxiv_id":"2308.05755","n_code_links":0,"syntology":null},{"paper":null,"slug":"diversify-a-general-framework-for-time-series","title":"DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization","date":"2023-08-04","arxiv_id":"2308.02282","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-part-informed-visual-language","title":"Exploring Part-Informed Visual-Language Learning for Person Re-Identification","date":"2023-08-04","arxiv_id":"2308.02738","n_code_links":0,"syntology":null},{"paper":"/paper/multi-interactive-feature-learning-and-a-full","slug":"multi-interactive-feature-learning-and-a-full","title":"Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation","date":"2023-08-04","arxiv_id":"2308.02097","n_code_links":2,"syntology":{"ran":19,"of":26,"n_ran_checked":19,"n_instrument":0,"unverified":7,"pointer_only":13,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 1 honoured, 0 violated, 18 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","official":{"repos":["jinyuanliu-cv/segmif"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"rahnet-retrieval-augmented-hybrid-network-for","title":"RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification","date":"2023-08-04","arxiv_id":"2308.02335","n_code_links":0,"syntology":null},{"paper":null,"slug":"scaling-clinical-trial-matching-using-large","title":"Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology","date":"2023-08-04","arxiv_id":"2308.02180","n_code_links":0,"syntology":null},{"paper":null,"slug":"scene-aware-human-pose-generation-using","title":"Scene-aware Human Pose Generation using Transformer","date":"2023-08-04","arxiv_id":"2308.02177","n_code_links":0,"syntology":null},{"paper":null,"slug":"semantic-channel-equalizer-modelling-language","title":"Semantic Channel Equalizer: Modelling Language Mismatch in Multi-User Semantic Communications","date":"2023-08-04","arxiv_id":"2308.03789","n_code_links":0,"syntology":null},{"paper":null,"slug":"slam-for-multiple-extended-targets-using-5g","title":"SLAM for Multiple Extended Targets using 5G Signal","date":"2023-08-04","arxiv_id":"2308.05754","n_code_links":0,"syntology":null},{"paper":null,"slug":"you-talk-what-you-read-understanding-news","title":"You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution","date":"2023-08-04","arxiv_id":"2308.02168","n_code_links":0,"syntology":null},{"paper":"/paper/adversarial-training-of-denoising-diffusion","slug":"adversarial-training-of-denoising-diffusion","title":"Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS","date":"2023-08-03","arxiv_id":"2308.01573","n_code_links":1,"syntology":null},{"paper":null,"slug":"bag-of-policies-for-distributional-deep","title":"Bag of Policies for Distributional Deep Exploration","date":"2023-08-03","arxiv_id":"2308.01759","n_code_links":0,"syntology":null},{"paper":"/paper/causality-guided-disentanglement-for-cross","slug":"causality-guided-disentanglement-for-cross","title":"Causality Guided Disentanglement for Cross-Platform Hate Speech Detection","date":"2023-08-03","arxiv_id":"2308.02080","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffusion-based-time-series-data-imputation","title":"Diffusion-based Time Series Data Imputation for Microsoft 365","date":"2023-08-03","arxiv_id":"2309.02564","n_code_links":0,"syntology":null},{"paper":"/paper/discriminative-graph-level-anomaly-detection","slug":"discriminative-graph-level-anomaly-detection","title":"Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model","date":"2023-08-03","arxiv_id":"2308.01947","n_code_links":1,"syntology":null},{"paper":"/paper/efficient-sentiment-analysis-a-resource-aware","slug":"efficient-sentiment-analysis-a-resource-aware","title":"Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models","date":"2023-08-03","arxiv_id":"2308.02022","n_code_links":1,"syntology":null},{"paper":"/paper/incorporating-recklessness-to-collaborative","slug":"incorporating-recklessness-to-collaborative","title":"Incorporating Recklessness to Collaborative Filtering based Recommender Systems","date":"2023-08-03","arxiv_id":"2308.02058","n_code_links":1,"syntology":null},{"paper":"/paper/many-to-many-spoken-language-translation-via","slug":"many-to-many-spoken-language-translation-via","title":"Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation","date":"2023-08-03","arxiv_id":"2308.01831","n_code_links":1,"syntology":null},{"paper":null,"slug":"minimax-optimal-q-learning-with-nearest","title":"Minimax Optimal Q Learning with Nearest Neighbors","date":"2023-08-03","arxiv_id":"2308.01490","n_code_links":0,"syntology":null},{"paper":"/paper/point2mask-point-supervised-panoptic","slug":"point2mask-point-supervised-panoptic","title":"Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport","date":"2023-08-03","arxiv_id":"2308.01779","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":["liwentomng/point2mask"],"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":"real-time-light-estimation-and-neural-soft","title":"Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios","date":"2023-08-03","arxiv_id":"2308.01613","n_code_links":0,"syntology":null}],"record_sha256":"c97ab381054e35512fbccd13404e0db24183425375a8fef2c931750f0c793ab4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}