{"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/test/papers/41","list_of":"/method/test","method":"Test","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":41,"pages_in_order":65,"rows_per_page":100,"rows":[4001,4100],"of":6434,"counts":{"archive_papers_tagged":6434,"with_a_code_link":2339,"where_syntology_ran_a_sample":517,"not_listed_spam_title":0,"listed":6434,"listed_where_code_ran":517,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":428,"every_run_a_failure_of_syntologys_instrument":89,"listed_with_a_run_with_no_instrument_failure":428,"listed_every_run_a_failure_of_syntologys_instrument":89,"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/test","prev":"/method/test/papers/40","next":"/method/test/papers/42","papers":[{"paper":"/paper/reinforcement-learning-for-energies-of-the","slug":"reinforcement-learning-for-energies-of-the","title":"Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design","date":"2022-07-21","arxiv_id":"2207.10330","n_code_links":1,"syntology":null},{"paper":"/paper/solving-the-optimal-stopping-problem-with","slug":"solving-the-optimal-stopping-problem-with","title":"Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise","date":"2022-07-21","arxiv_id":"2208.00765","n_code_links":1,"syntology":null},{"paper":"/paper/tidee-tidying-up-novel-rooms-using-visuo","slug":"tidee-tidying-up-novel-rooms-using-visuo","title":"TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors","date":"2022-07-21","arxiv_id":"2207.10761","n_code_links":1,"syntology":null},{"paper":"/paper/unimodal-vs-multimodal-siamese-networks-for-1","slug":"unimodal-vs-multimodal-siamese-networks-for-1","title":"Unimodal vs. Multimodal Siamese Networks for Outfit Completion","date":"2022-07-21","arxiv_id":"2207.10355","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-generalized-robust-framework-for-timestamp","title":"A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation","date":"2022-07-20","arxiv_id":"2207.10137","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-hybrid-convolutional-neural-network-with","title":"A Hybrid Convolutional Neural Network with Meta Feature Learning for Abnormality Detection in Wireless Capsule Endoscopy Images","date":"2022-07-20","arxiv_id":"2207.09769","n_code_links":0,"syntology":null},{"paper":"/paper/brace-the-breakdancing-competition-dataset","slug":"brace-the-breakdancing-competition-dataset","title":"BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis","date":"2022-07-20","arxiv_id":"2207.10120","n_code_links":1,"syntology":null},{"paper":null,"slug":"can-a-hebbian-like-learning-rule-be-avoiding","title":"Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?","date":"2022-07-20","arxiv_id":"2208.12564","n_code_links":0,"syntology":null},{"paper":null,"slug":"duplicate-detection-as-a-service","title":"Duplicate Detection as a Service","date":"2022-07-20","arxiv_id":"2207.09672","n_code_links":0,"syntology":null},{"paper":null,"slug":"end-to-end-and-self-supervised-learning-for","title":"End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge","date":"2022-07-20","arxiv_id":"2207.10817","n_code_links":0,"syntology":null},{"paper":"/paper/estimating-model-performance-under-domain","slug":"estimating-model-performance-under-domain","title":"Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores","date":"2022-07-20","arxiv_id":"2207.09957","n_code_links":1,"syntology":null},{"paper":null,"slug":"exosgan-and-exoacgan-exoplanet-detection","title":"ExoSGAN and ExoACGAN: Exoplanet Detection using Adversarial Training Algorithms","date":"2022-07-20","arxiv_id":"2207.09665","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalizable-and-robust-deep-learning","title":"Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes","date":"2022-07-20","arxiv_id":"2207.09667","n_code_links":0,"syntology":null},{"paper":null,"slug":"hypernet-self-supervised-hyperspectral","title":"HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection","date":"2022-07-20","arxiv_id":"2207.09634","n_code_links":0,"syntology":null},{"paper":"/paper/learning-deformable-object-manipulation-from","slug":"learning-deformable-object-manipulation-from","title":"Learning Deformable Object Manipulation from Expert Demonstrations","date":"2022-07-20","arxiv_id":"2207.10148","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-from-few-examples-classifying-sex","title":"Learning from few examples: Classifying sex from retinal images via deep learning","date":"2022-07-20","arxiv_id":"2207.09624","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-to-estimate-a-surrogate-respiratory","title":"Learning to estimate a surrogate respiratory signal from cardiac motion by signal-to-signal translation","date":"2022-07-20","arxiv_id":"2208.01034","n_code_links":0,"syntology":null},{"paper":null,"slug":"lesion-detection-in-contrast-enhanced","title":"Lesion detection in contrast enhanced spectral mammography","date":"2022-07-20","arxiv_id":"2207.09692","n_code_links":0,"syntology":null},{"paper":null,"slug":"measuring-and-signing-fairness-as-performance","title":"Measuring and signing fairness as performance under multiple stakeholder distributions","date":"2022-07-20","arxiv_id":"2207.09960","n_code_links":0,"syntology":null},{"paper":"/paper/probable-domain-generalization-via-quantile","slug":"probable-domain-generalization-via-quantile","title":"Probable Domain Generalization via Quantile Risk Minimization","date":"2022-07-20","arxiv_id":"2207.09944","n_code_links":2,"syntology":{"ran":8,"of":9,"n_ran_checked":6,"n_instrument":2,"unverified":1,"pointer_only":9,"phrase":"8 ran (of which 5 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["cianeastwood/qrm","facebookresearch/DomainBed"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":5,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/revisiting-hotels-50k-and-hotel-id","slug":"revisiting-hotels-50k-and-hotel-id","title":"Revisiting Hotels-50K and Hotel-ID","date":"2022-07-20","arxiv_id":"2207.10200","n_code_links":1,"syntology":null},{"paper":"/paper/tackling-long-tailed-category-distribution","slug":"tackling-long-tailed-category-distribution","title":"Tackling Long-Tailed Category Distribution Under Domain Shifts","date":"2022-07-20","arxiv_id":"2207.10150","n_code_links":1,"syntology":null},{"paper":"/paper/temporal-and-cross-modal-attention-for-audio","slug":"temporal-and-cross-modal-attention-for-audio","title":"Temporal and cross-modal attention for audio-visual zero-shot learning","date":"2022-07-20","arxiv_id":"2207.09966","n_code_links":2,"syntology":null},{"paper":"/paper/test-time-adaptation-via-conjugate-pseudo","slug":"test-time-adaptation-via-conjugate-pseudo","title":"Test-Time Adaptation via Conjugate Pseudo-labels","date":"2022-07-20","arxiv_id":"2207.09640","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":0,"n_instrument":3,"unverified":2,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["locuslab/tta_conjugate"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"testing-for-a-threshold-in-models-with","title":"Testing for a Threshold in Models with Endogenous Regressors","date":"2022-07-20","arxiv_id":"2207.10076","n_code_links":0,"syntology":null},{"paper":null,"slug":"unsupervised-energy-disaggregation-via","title":"Unsupervised energy disaggregation via convolutional sparse coding","date":"2022-07-20","arxiv_id":"2207.09785","n_code_links":0,"syntology":null},{"paper":"/paper/a-deep-learning-framework-for-wind-turbine","slug":"a-deep-learning-framework-for-wind-turbine","title":"A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms","date":"2022-07-19","arxiv_id":"2207.09457","n_code_links":1,"syntology":null},{"paper":null,"slug":"adaptive-testing-for-connected-and-automated","title":"Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios","date":"2022-07-19","arxiv_id":"2207.09259","n_code_links":0,"syntology":null},{"paper":"/paper/anti-carla-an-adversarial-testing-framework","slug":"anti-carla-an-adversarial-testing-framework","title":"ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA","date":"2022-07-19","arxiv_id":"2208.06309","n_code_links":1,"syntology":null},{"paper":null,"slug":"can-you-fool-ai-by-doing-a-180-unicode-x2013","title":"Can You Fool AI by Doing a 180? $\\unicode{x2013}$ A Case Study on Authorship Analysis of Texts by Arata Osada","date":"2022-07-19","arxiv_id":"2207.09085","n_code_links":0,"syntology":null},{"paper":null,"slug":"chance-constrained-ac-optimal-power-flow-for","title":"Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids","date":"2022-07-19","arxiv_id":"2207.09520","n_code_links":0,"syntology":null},{"paper":"/paper/decorrelative-network-architecture-for-robust","slug":"decorrelative-network-architecture-for-robust","title":"Decorrelative Network Architecture for Robust Electrocardiogram Classification","date":"2022-07-19","arxiv_id":"2207.09031","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-beats-in-the-photoplethysmogram","slug":"detecting-beats-in-the-photoplethysmogram","title":"Detecting beats in the photoplethysmogram: benchmarking open-source algorithms","date":"2022-07-19","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/emotion-recognition-based-on-multi-task","slug":"emotion-recognition-based-on-multi-task","title":"Multi-Task Learning Framework for Emotion Recognition in-the-wild","date":"2022-07-19","arxiv_id":"2207.09373","n_code_links":1,"syntology":null},{"paper":null,"slug":"ilasr-privacy-preserving-incremental-learning","title":"ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale","date":"2022-07-19","arxiv_id":"2207.09078","n_code_links":0,"syntology":null},{"paper":"/paper/image-super-resolution-with-deep-dictionary","slug":"image-super-resolution-with-deep-dictionary","title":"Image Super-Resolution with Deep Dictionary","date":"2022-07-19","arxiv_id":"2207.09228","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 7 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 7 samples that ran constructed an object rather than computing a result","official":{"repos":["shuntama/srdd"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":7,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"kind-lce-curve-estimation-and-retinex-fusion","title":"KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image","date":"2022-07-19","arxiv_id":"2207.09210","n_code_links":0,"syntology":null},{"paper":null,"slug":"knowledge-distillation-with-a-class-aware","title":"Knowledge distillation with a class-aware loss for endoscopic disease detection","date":"2022-07-19","arxiv_id":"2207.09530","n_code_links":0,"syntology":null},{"paper":"/paper/on-the-development-of-a-bayesian-optimisation","slug":"on-the-development-of-a-bayesian-optimisation","title":"Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics","date":"2022-07-19","arxiv_id":"2207.09154","n_code_links":1,"syntology":null},{"paper":"/paper/schooling-and-labor-market-consequences-of","slug":"schooling-and-labor-market-consequences-of","title":"Schooling and Labor Market Consequences of School Construction in Indonesia: Comment","date":"2022-07-19","arxiv_id":"2207.09036","n_code_links":1,"syntology":null},{"paper":"/paper/target-driven-structured-transformer-planner","slug":"target-driven-structured-transformer-planner","title":"Target-Driven Structured Transformer Planner for Vision-Language Navigation","date":"2022-07-19","arxiv_id":"2207.11201","n_code_links":1,"syntology":null},{"paper":"/paper/the-caltech-fish-counting-dataset-a-benchmark","slug":"the-caltech-fish-counting-dataset-a-benchmark","title":"The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting","date":"2022-07-19","arxiv_id":"2207.09295","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 2 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["visipedia/caltech-fish-counting"],"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/visual-representation-learning-with","slug":"visual-representation-learning-with","title":"Vision Transformers: From Semantic Segmentation to Dense Prediction","date":"2022-07-19","arxiv_id":"2207.09339","n_code_links":3,"syntology":null},{"paper":null,"slug":"back-to-the-manifold-recovering-from-out-of","title":"Back to the Manifold: Recovering from Out-of-Distribution States","date":"2022-07-18","arxiv_id":"2207.08673","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-hdr-video-compression-through-cnn","slug":"enhancing-hdr-video-compression-through-cnn","title":"Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation","date":"2022-07-18","arxiv_id":"2207.08634","n_code_links":1,"syntology":null},{"paper":null,"slug":"implementation-of-machine-learning-based-der","title":"Implementation of Machine Learning-based DER Local Control Schemes on Measurement Devices for Counteracting Communication Failures","date":"2022-07-18","arxiv_id":"2207.08732","n_code_links":0,"syntology":null},{"paper":null,"slug":"interpolation-extrapolation-and-local","title":"Interpolation, extrapolation, and local generalization in common neural networks","date":"2022-07-18","arxiv_id":"2207.08648","n_code_links":0,"syntology":null},{"paper":"/paper/ir-metadata-an-extensible-metadata-schema-for","slug":"ir-metadata-an-extensible-metadata-schema-for","title":"ir_metadata: An Extensible Metadata Schema for IR Experiments","date":"2022-07-18","arxiv_id":"2207.08922","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-differentiable-solvers-for-systems","title":"Learning differentiable solvers for systems with hard constraints","date":"2022-07-18","arxiv_id":"2207.08675","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-multi-robot-coordination-from","title":"Distributed Differentiable Dynamic Game for Multi-robot Coordination","date":"2022-07-18","arxiv_id":"2207.08892","n_code_links":0,"syntology":null},{"paper":null,"slug":"lightweight-automated-feature-monitoring-for","title":"Lightweight Automated Feature Monitoring for Data Streams","date":"2022-07-18","arxiv_id":"2207.08640","n_code_links":0,"syntology":null},{"paper":null,"slug":"manifest-manifold-based-feature-selection-for","title":"ManiFeSt: Manifold-based Feature Selection for Small Data Sets","date":"2022-07-18","arxiv_id":"2207.08574","n_code_links":0,"syntology":null},{"paper":"/paper/mpib-an-mpi-based-bokeh-rendering-framework","slug":"mpib-an-mpi-based-bokeh-rendering-framework","title":"MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects","date":"2022-07-18","arxiv_id":"2207.08403","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":3,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"4 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["juewenpeng/mpib"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"proposal-and-description-of-a-test-system","title":"Proposal and Description of a Test System with Wind, Hydro and Fossil Fuel Power Plants for Static Analyses","date":"2022-07-18","arxiv_id":"2207.08897","n_code_links":0,"syntology":null},{"paper":null,"slug":"segmenting-white-matter-hyperintensities-on","title":"Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database","date":"2022-07-18","arxiv_id":"2207.08467","n_code_links":0,"syntology":null},{"paper":"/paper/semantic-novelty-detection-via-relational","slug":"semantic-novelty-detection-via-relational","title":"Semantic Novelty Detection via Relational Reasoning","date":"2022-07-18","arxiv_id":"2207.08699","n_code_links":1,"syntology":null},{"paper":null,"slug":"show-me-what-i-like-detecting-user-specific","title":"Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention","date":"2022-07-18","arxiv_id":"2207.08352","n_code_links":0,"syntology":null},{"paper":null,"slug":"wpinns-weak-physics-informed-neural-networks","title":"wPINNs: Weak Physics informed neural networks for approximating entropy solutions of hyperbolic conservation laws","date":"2022-07-18","arxiv_id":"2207.08483","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-simple-test-time-method-for-out-of","title":"A Simple Test-Time Method for Out-of-Distribution Detection","date":"2022-07-17","arxiv_id":"2207.08210","n_code_links":0,"syntology":null},{"paper":"/paper/an-efficientnet-based-modified-sigmoid","slug":"an-efficientnet-based-modified-sigmoid","title":"An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions","date":"2022-07-17","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"dimba-discretely-masked-black-box-attack-in","title":"DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking","date":"2022-07-17","arxiv_id":"2207.08044","n_code_links":0,"syntology":null},{"paper":null,"slug":"flolpips-a-bespoke-video-quality-metric-for","title":"FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation","date":"2022-07-17","arxiv_id":"2207.08119","n_code_links":0,"syntology":null},{"paper":null,"slug":"hyperinvariances-amortizing-invariance","title":"HyperInvariances: Amortizing Invariance Learning","date":"2022-07-17","arxiv_id":"2207.08304","n_code_links":0,"syntology":null},{"paper":"/paper/performance-degradation-of-imagenet-trained","slug":"performance-degradation-of-imagenet-trained","title":"Performance degradation of ImageNet trained models by simple image transformations","date":"2022-07-17","arxiv_id":"2207.08079","n_code_links":1,"syntology":null},{"paper":null,"slug":"sp2-a-second-order-stochastic-polyak-method","title":"SP2: A Second Order Stochastic Polyak Method","date":"2022-07-17","arxiv_id":"2207.08171","n_code_links":0,"syntology":null},{"paper":null,"slug":"statistical-model-for-describing-heart-rate","title":"Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation","date":"2022-07-17","arxiv_id":"2207.08165","n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-calibration-in-bayesian-neural","title":"Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors","date":"2022-07-17","arxiv_id":"2207.08200","n_code_links":0,"syntology":null},{"paper":null,"slug":"home-made-blues-residential-crowding-and","title":"Home-made blues: Residential crowding and mental health in Beijing, China","date":"2022-07-16","arxiv_id":"2207.07985","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-inducing-points-and-uncertainty-on","title":"Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes","date":"2022-07-16","arxiv_id":"2207.07654","n_code_links":0,"syntology":null},{"paper":null,"slug":"mac-do-charge-based-multi-bit-analog-in","title":"MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology","date":"2022-07-16","arxiv_id":"2207.07862","n_code_links":0,"syntology":null},{"paper":"/paper/meta-referential-games-to-learn-compositional-1","slug":"meta-referential-games-to-learn-compositional-1","title":"Meta-Referential Games to Learn Compositional Learning Behaviours","date":"2022-07-16","arxiv_id":"2207.08012","n_code_links":1,"syntology":null},{"paper":null,"slug":"power-hardware-in-the-loop-testing-of-a-peer","title":"Power Hardware-In-the-Loop Testing of a Peer-to-Peer Energy Trading Framework","date":"2022-07-16","arxiv_id":"2207.08009","n_code_links":0,"syntology":null},{"paper":"/paper/sizeshiftreg-a-regularization-method-for","slug":"sizeshiftreg-a-regularization-method-for","title":"SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks","date":"2022-07-16","arxiv_id":"2207.07888","n_code_links":1,"syntology":{"ran":12,"of":14,"n_ran_checked":12,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["DavideBuffelli/SizeShiftReg"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"the-roads-one-must-walk-down-commute-and","title":"The Roads One Must Walk Down: Commute and Depression for Beijing's Residents","date":"2022-07-16","arxiv_id":"2207.07990","n_code_links":0,"syntology":null},{"paper":"/paper/a-probabilistic-autoencoder-for-type-ia","slug":"a-probabilistic-autoencoder-for-type-ia","title":"A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series","date":"2022-07-15","arxiv_id":"2207.07645","n_code_links":1,"syntology":null},{"paper":null,"slug":"anomalous-behaviour-in-loss-gradient-based","title":"Anomalous behaviour in loss-gradient based interpretability methods","date":"2022-07-15","arxiv_id":"2207.07769","n_code_links":0,"syntology":null},{"paper":null,"slug":"cc-fuzz-genetic-algorithm-based-fuzzing-for","title":"CC-Fuzz: Genetic algorithm-based fuzzing for stress testing congestion control algorithms","date":"2022-07-15","arxiv_id":"2207.07300","n_code_links":0,"syntology":null},{"paper":"/paper/communication-efficient-diffusion-strategy","slug":"communication-efficient-diffusion-strategy","title":"Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data","date":"2022-07-15","arxiv_id":"2207.07493","n_code_links":2,"syntology":null},{"paper":"/paper/deepsolar-tracker-towards-unsupervised","slug":"deepsolar-tracker-towards-unsupervised","title":"Towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed PV mapping","date":"2022-07-15","arxiv_id":"2207.07466","n_code_links":3,"syntology":null},{"paper":"/paper/direction-aware-joint-adaptation-of-neural","slug":"direction-aware-joint-adaptation-of-neural","title":"Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments","date":"2022-07-15","arxiv_id":"2207.07273","n_code_links":0,"syntology":null},{"paper":null,"slug":"low-bit-shift-network-for-end-to-end-spoken","title":"Low-bit Shift Network for End-to-End Spoken Language Understanding","date":"2022-07-15","arxiv_id":"2207.07497","n_code_links":0,"syntology":null},{"paper":null,"slug":"polyscribers-joint-training-of-vocal","title":"PoLyScriber: Integrated Fine-tuning of Extractor and Lyrics Transcriber for Polyphonic Music","date":"2022-07-15","arxiv_id":"2207.07336","n_code_links":0,"syntology":null},{"paper":"/paper/privacy-preserving-face-recognition-with","slug":"privacy-preserving-face-recognition-with","title":"Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain","date":"2022-07-15","arxiv_id":"2207.07316","n_code_links":1,"syntology":null},{"paper":"/paper/registration-based-few-shot-anomaly-detection","slug":"registration-based-few-shot-anomaly-detection","title":"Registration based Few-Shot Anomaly Detection","date":"2022-07-15","arxiv_id":"2207.07361","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":["mediabrain-sjtu/regad"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/toward-reliable-signals-decoding-for","slug":"toward-reliable-signals-decoding-for","title":"Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX","date":"2022-07-15","arxiv_id":"2207.12369","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":["chenxiachan/eegnex"],"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/adversarial-sign-corrupted-isotonic","slug":"adversarial-sign-corrupted-isotonic","title":"Adversarial Sign-Corrupted Isotonic Regression","date":"2022-07-14","arxiv_id":"2207.07075","n_code_links":1,"syntology":null},{"paper":null,"slug":"benign-tempered-or-catastrophic-a-taxonomy-of","title":"Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting","date":"2022-07-14","arxiv_id":"2207.06569","n_code_links":0,"syntology":null},{"paper":null,"slug":"case-study-on-quantum-convolutional-neural","title":"Case study on quantum convolutional neural network scalability","date":"2022-07-14","arxiv_id":"2207.07160","n_code_links":0,"syntology":null},{"paper":null,"slug":"covy-an-ai-powered-robot-for-detection-of","title":"Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing","date":"2022-07-14","arxiv_id":"2207.06847","n_code_links":0,"syntology":null},{"paper":null,"slug":"fine-grained-few-shot-recognition-by-deep","title":"Fine-grained Few-shot Recognition by Deep Object Parsing","date":"2022-07-14","arxiv_id":"2207.07110","n_code_links":0,"syntology":null},{"paper":"/paper/from-shapley-back-to-pearson-hypothesis","slug":"from-shapley-back-to-pearson-hypothesis","title":"SHAP-XRT: The Shapley Value Meets Conditional Independence Testing","date":"2022-07-14","arxiv_id":"2207.07038","n_code_links":1,"syntology":null},{"paper":null,"slug":"improved-ood-generalization-via-conditional","title":"Breaking Correlation Shift via Conditional Invariant Regularizer","date":"2022-07-14","arxiv_id":"2207.06687","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-multi-interest-network-with-stable","title":"Improving Multi-Interest Network with Stable Learning","date":"2022-07-14","arxiv_id":"2207.07910","n_code_links":0,"syntology":null},{"paper":"/paper/learning-to-translate-by-learning-to","slug":"learning-to-translate-by-learning-to","title":"Learning to translate by learning to communicate","date":"2022-07-14","arxiv_id":"2207.07025","n_code_links":1,"syntology":null},{"paper":"/paper/medfuse-multi-modal-fusion-with-clinical-time","slug":"medfuse-multi-modal-fusion-with-clinical-time","title":"MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images","date":"2022-07-14","arxiv_id":"2207.07027","n_code_links":1,"syntology":null},{"paper":"/paper/multilinguals-at-semeval-2022-task-11-complex-1","slug":"multilinguals-at-semeval-2022-task-11-complex-1","title":"Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages","date":"2022-07-14","arxiv_id":"2207.06882","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-the-strong-correlation-between-model","title":"On the Strong Correlation Between Model Invariance and Generalization","date":"2022-07-14","arxiv_id":"2207.07065","n_code_links":0,"syntology":null},{"paper":"/paper/overview-of-abusive-and-threatening-language","slug":"overview-of-abusive-and-threatening-language","title":"Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021","date":"2022-07-14","arxiv_id":"2207.06710","n_code_links":1,"syntology":null},{"paper":null,"slug":"power-injection-measurements-are-more","title":"Power Injection Measurements are more Vulnerable to Data Integrity Attacks than Power Flow Measurements","date":"2022-07-14","arxiv_id":"2207.06973","n_code_links":0,"syntology":null},{"paper":null,"slug":"proof-of-concept-study-of-sparse-processing","title":"Proof-of-concept Study of Sparse Processing Particle Image Velocimetry for Real Time Flow Observation","date":"2022-07-14","arxiv_id":"2207.06774","n_code_links":0,"syntology":null}],"record_sha256":"54a3102fdd874f85259f08fa8817aee43c2831fd0292f215d439806888c1d5da","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}