{"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/43","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":43,"pages_in_order":65,"rows_per_page":100,"rows":[4201,4300],"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/42","next":"/method/test/papers/44","papers":[{"paper":null,"slug":"effects-of-seat-back-height-and-posture-on-3d","title":"Effects of seat back height and posture on 3D vibration transmission to pelvis, trunk and head","date":"2022-07-05","arxiv_id":"2207.01989","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalization-to-translation-shifts-a-study","title":"Generalization to translation shifts: a study in architectures and augmentations","date":"2022-07-05","arxiv_id":"2207.02349","n_code_links":0,"syntology":null},{"paper":null,"slug":"malware-and-ransomware-detection-models","title":"AI-based Malware and Ransomware Detection Models","date":"2022-07-05","arxiv_id":"2207.02108","n_code_links":0,"syntology":null},{"paper":"/paper/meta-learning-a-real-time-tabular-automl","slug":"meta-learning-a-real-time-tabular-automl","title":"TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second","date":"2022-07-05","arxiv_id":"2207.01848","n_code_links":7,"syntology":{"ran":4,"of":4,"n_ran_checked":3,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"4 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; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"mia-2022-shared-task-submission-leveraging","title":"MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering","date":"2022-07-05","arxiv_id":"2207.01940","n_code_links":0,"syntology":null},{"paper":null,"slug":"mvp-robust-multi-view-practice-for-driving","title":"MVP: Robust Multi-View Practice for Driving Action Localization","date":"2022-07-05","arxiv_id":"2207.02042","n_code_links":0,"syntology":null},{"paper":"/paper/pof-post-training-of-feature-extractor-for","slug":"pof-post-training-of-feature-extractor-for","title":"PoF: Post-Training of Feature Extractor for Improving Generalization","date":"2022-07-05","arxiv_id":"2207.01847","n_code_links":1,"syntology":null},{"paper":null,"slug":"predicting-out-of-domain-generalization-with","title":"Predicting Out-of-Domain Generalization with Neighborhood Invariance","date":"2022-07-05","arxiv_id":"2207.02093","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-causal-approach-for-business-optimization","title":"A Causal Approach for Business Optimization: Application on an Online Marketplace","date":"2022-07-04","arxiv_id":"2207.01722","n_code_links":0,"syntology":null},{"paper":"/paper/a-new-index-for-clustering-evaluation-based","slug":"a-new-index-for-clustering-evaluation-based","title":"A New Index for Clustering Evaluation Based on Density Estimation","date":"2022-07-04","arxiv_id":"2207.01294","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-robust-ensemble-model-for-patasitic-egg","title":"A Robust Ensemble Model for Patasitic Egg Detection and Classification","date":"2022-07-04","arxiv_id":"2207.01419","n_code_links":0,"syntology":null},{"paper":null,"slug":"autonomous-drug-design-with-multi-armed","title":"Autonomous Drug Design with Multi-Armed Bandits","date":"2022-07-04","arxiv_id":"2207.01393","n_code_links":0,"syntology":null},{"paper":null,"slug":"autospeed-a-linked-autoencoder-approach-for","title":"AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound","date":"2022-07-04","arxiv_id":"2207.02392","n_code_links":0,"syntology":null},{"paper":"/paper/building-a-relation-extraction-baseline-for","slug":"building-a-relation-extraction-baseline-for","title":"Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility Study","date":"2022-07-04","arxiv_id":"2207.06226","n_code_links":1,"syntology":null},{"paper":"/paper/egocentric-video-language-pretraining-epic","slug":"egocentric-video-language-pretraining-epic","title":"Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022","date":"2022-07-04","arxiv_id":"2207.01334","n_code_links":1,"syntology":null},{"paper":null,"slug":"fact-high-dimensional-random-forests","title":"FACT: High-Dimensional Random Forests Inference","date":"2022-07-04","arxiv_id":"2207.01678","n_code_links":0,"syntology":null},{"paper":null,"slug":"game-state-learning-via-game-scene","title":"Game State Learning via Game Scene Augmentation","date":"2022-07-04","arxiv_id":"2207.01289","n_code_links":0,"syntology":null},{"paper":null,"slug":"how-much-more-data-do-i-need-estimating-1","title":"How Much More Data Do I Need? Estimating Requirements for Downstream Tasks","date":"2022-07-04","arxiv_id":"2207.01725","n_code_links":0,"syntology":null},{"paper":null,"slug":"how-robust-is-your-fairness-evaluating-and","title":"How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts","date":"2022-07-04","arxiv_id":"2207.01168","n_code_links":0,"syntology":null},{"paper":null,"slug":"mpc-based-operation-strategy-for-electric","title":"MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets","date":"2022-07-04","arxiv_id":"2207.01446","n_code_links":0,"syntology":null},{"paper":"/paper/online-adaptive-personalization-for-face-anti","slug":"online-adaptive-personalization-for-face-anti","title":"Online Adaptive Personalization for Face Anti-spoofing","date":"2022-07-04","arxiv_id":"2207.12272","n_code_links":1,"syntology":null},{"paper":null,"slug":"optimal-multi-dimensional-auctions","title":"Optimal Multi-Dimensional Auctions: Conjectures and Simulations","date":"2022-07-04","arxiv_id":"2207.01664","n_code_links":0,"syntology":null},{"paper":null,"slug":"physics-informed-compressed-sensing-for-pc","title":"Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem","date":"2022-07-04","arxiv_id":"2207.01466","n_code_links":0,"syntology":null},{"paper":null,"slug":"boosting-single-frame-3d-object-detection-by","title":"Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds","date":"2022-07-03","arxiv_id":"2207.01030","n_code_links":0,"syntology":null},{"paper":"/paper/collaboration-aware-graph-convolutional","slug":"collaboration-aware-graph-convolutional","title":"Collaboration-Aware Graph Convolutional Network for Recommender Systems","date":"2022-07-03","arxiv_id":"2207.06221","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":["yuwvandy/cagcn"],"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/discomat-distantly-supervised-composition","slug":"discomat-distantly-supervised-composition","title":"DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles","date":"2022-07-03","arxiv_id":"2207.01079","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["m3rg-iitd/discomat"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/exploiting-context-information-for-generic","slug":"exploiting-context-information-for-generic","title":"Exploiting Context Information for Generic Event Boundary Captioning","date":"2022-07-03","arxiv_id":"2207.01050","n_code_links":1,"syntology":null},{"paper":null,"slug":"features-of-a-splashing-drop-on-a-solid","title":"Features of a Splashing Drop on a Solid Surface and the Temporal Evolution extracted through Image-Sequence Classification using an Interpretable Feedforward Neural Network","date":"2022-07-03","arxiv_id":"2207.00971","n_code_links":0,"syntology":null},{"paper":null,"slug":"identifying-the-context-shift-between-test","title":"Identifying the Context Shift between Test Benchmarks and Production Data","date":"2022-07-03","arxiv_id":"2207.01059","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-to-increase-the-power-of-conditional","title":"Learning to Increase the Power of Conditional Randomization Tests","date":"2022-07-03","arxiv_id":"2207.01022","n_code_links":0,"syntology":null},{"paper":null,"slug":"understanding-tieq-viet-with-deep-learning","title":"Understanding Tieq Viet with Deep Learning Models","date":"2022-07-03","arxiv_id":"2207.00975","n_code_links":0,"syntology":null},{"paper":"/paper/can-language-models-make-fun-a-case-study-in","slug":"can-language-models-make-fun-a-case-study-in","title":"Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk","date":"2022-07-02","arxiv_id":"2207.00735","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":11,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["anonno2/crosstalk-generation"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"computational-and-experimental-analysis-of","title":"Computational and experimental analysis of the impact of a sphere on a beam and the resulting modal energy distribution","date":"2022-07-02","arxiv_id":"2207.00795","n_code_links":0,"syntology":null},{"paper":"/paper/eliciting-and-learning-with-soft-labels-from","slug":"eliciting-and-learning-with-soft-labels-from","title":"Eliciting and Learning with Soft Labels from Every Annotator","date":"2022-07-02","arxiv_id":"2207.00810","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-the-modern-deep-learning-approaches-for","title":"On the modern deep learning approaches for precipitation downscaling","date":"2022-07-02","arxiv_id":"2207.00808","n_code_links":0,"syntology":null},{"paper":"/paper/test-time-adaptation-with-calibration-of","slug":"test-time-adaptation-with-calibration-of","title":"Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift","date":"2022-07-02","arxiv_id":"2207.00769","n_code_links":1,"syntology":null},{"paper":null,"slug":"unsupervised-symbolic-music-segmentation","title":"Unsupervised Symbolic Music Segmentation using Ensemble Temporal Prediction Errors","date":"2022-07-02","arxiv_id":"2207.00760","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-deep-learning-aided-pipeline-for-efficient","title":"A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning","date":"2022-07-01","arxiv_id":"2207.00336","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-neural-network-based-novel-test-selector","title":"Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure","date":"2022-07-01","arxiv_id":"2207.00445","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-self-contained-karma-economy-for-the","title":"A self-contained karma economy for the dynamic allocation of common resources","date":"2022-07-01","arxiv_id":"2207.00495","n_code_links":0,"syntology":null},{"paper":"/paper/adapting-the-mean-teacher-for-keypoint-based","slug":"adapting-the-mean-teacher-for-keypoint-based","title":"Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts","date":"2022-07-01","arxiv_id":"2207.00371","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":0,"n_instrument":2,"unverified":1,"pointer_only":2,"phrase":"2 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; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["multimodallearning/registration-da-mean-teacher"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"comparative-analysis-of-state-of-the-art-deep","title":"Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images","date":"2022-07-01","arxiv_id":"2208.01637","n_code_links":0,"syntology":null},{"paper":null,"slug":"conditional-variable-selection-for","title":"Conditional Variable Selection for Intelligent Test","date":"2022-07-01","arxiv_id":"2207.00335","n_code_links":0,"syntology":null},{"paper":null,"slug":"distributed-frequency-control-in-power-grids","title":"Distributed Frequency Control in Power Grids with Low and Time-Varying Inertia","date":"2022-07-01","arxiv_id":"2207.00677","n_code_links":0,"syntology":null},{"paper":null,"slug":"effect-of-homomorphic-encryption-on-the","title":"Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks","date":"2022-07-01","arxiv_id":"2207.00263","n_code_links":0,"syntology":null},{"paper":null,"slug":"identification-of-binary-neutron-star-mergers","title":"Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection","date":"2022-07-01","arxiv_id":"2207.00591","n_code_links":0,"syntology":null},{"paper":null,"slug":"integrated-trenate-fault-tolerance","title":"INTEGRATED TRENATE FAULT TOLERANCE OPTIMIZATION FOR RESILIENCE IN CLOUD COMPUTING ENVIRONMENTS","date":"2022-07-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/learning-lattice-quantum-field-theories-with","slug":"learning-lattice-quantum-field-theories-with","title":"Learning Lattice Quantum Field Theories with Equivariant Continuous Flows","date":"2022-07-01","arxiv_id":"2207.00283","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["mathisgerdes/continuous-flow-lft"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/offline-policy-optimization-with-eligible","slug":"offline-policy-optimization-with-eligible","title":"Offline Policy Optimization with Eligible Actions","date":"2022-07-01","arxiv_id":"2207.00632","n_code_links":1,"syntology":null},{"paper":null,"slug":"swiss-german-speech-to-text-system-evaluation","title":"Swiss German Speech to Text system evaluation","date":"2022-07-01","arxiv_id":"2207.00412","n_code_links":0,"syntology":null},{"paper":null,"slug":"wnet-a-data-driven-dual-domain-denoising","title":"WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer","date":"2022-07-01","arxiv_id":"2207.00400","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-two-stage-bayesian-optimisation-for","title":"A Two-Stage Bayesian Optimisation for Automatic Tuning of an Unscented Kalman Filter for Vehicle Sideslip Angle Estimation","date":"2022-06-30","arxiv_id":"2206.15115","n_code_links":0,"syntology":null},{"paper":"/paper/benchmarking-the-robustness-of-deep-neural","slug":"benchmarking-the-robustness-of-deep-neural","title":"Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology","date":"2022-06-30","arxiv_id":"2206.14973","n_code_links":1,"syntology":null},{"paper":null,"slug":"category-level-6d-object-pose-estimation-in","title":"Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset","date":"2022-06-30","arxiv_id":"2206.15436","n_code_links":0,"syntology":null},{"paper":null,"slug":"classical-and-learned-mr-to-pseudo-ct","title":"Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation","date":"2022-06-30","arxiv_id":"2206.15441","n_code_links":0,"syntology":null},{"paper":"/paper/code-translation-with-compiler","slug":"code-translation-with-compiler","title":"Code Translation with Compiler Representations","date":"2022-06-30","arxiv_id":"2207.03578","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/forecasting-future-world-events-with-neural","slug":"forecasting-future-world-events-with-neural","title":"Forecasting Future World Events with Neural Networks","date":"2022-06-30","arxiv_id":"2206.15474","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["andyzoujm/autocast"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/grouped-pointwise-convolutions-reduce","slug":"grouped-pointwise-convolutions-reduce","title":"Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks","date":"2022-06-30","arxiv_id":null,"n_code_links":2,"syntology":null},{"paper":null,"slug":"machine-learning-for-automated-quality","title":"Machine learning for automated quality control in injection moulding manufacturing","date":"2022-06-30","arxiv_id":"2206.15285","n_code_links":0,"syntology":null},{"paper":"/paper/non-parametric-inference-of-relational","slug":"non-parametric-inference-of-relational","title":"Non-Parametric Inference of Relational Dependence","date":"2022-06-30","arxiv_id":"2207.00163","n_code_links":1,"syntology":null},{"paper":null,"slug":"self-superflow-self-supervised-scene-flow","title":"Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences","date":"2022-06-30","arxiv_id":"2206.15296","n_code_links":0,"syntology":null},{"paper":"/paper/shifts-2-0-extending-the-dataset-of-real","slug":"shifts-2-0-extending-the-dataset-of-real","title":"Shifts 2.0: Extending The Dataset of Real Distributional Shifts","date":"2022-06-30","arxiv_id":"2206.15407","n_code_links":2,"syntology":{"ran":18,"of":19,"n_ran_checked":18,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 0 violated, 18 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["shifts-project/shifts"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":18,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"stain-free-rapid-and-quantitative-viral","title":"Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning","date":"2022-06-30","arxiv_id":"2207.00089","n_code_links":0,"syntology":null},{"paper":null,"slug":"approximate-data-deletion-in-generative","title":"Approximate Data Deletion in Generative Models","date":"2022-06-29","arxiv_id":"2206.14439","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-synthesis-of-neurons-for-recurrent","title":"Automatic Synthesis of Neurons for Recurrent Neural Nets","date":"2022-06-29","arxiv_id":"2207.03577","n_code_links":0,"syntology":null},{"paper":"/paper/beyond-neural-scaling-laws-beating-power-law","slug":"beyond-neural-scaling-laws-beating-power-law","title":"Beyond neural scaling laws: beating power law scaling via data pruning","date":"2022-06-29","arxiv_id":"2206.14486","n_code_links":3,"syntology":null},{"paper":"/paper/bot-sort-robust-associations-multi-pedestrian","slug":"bot-sort-robust-associations-multi-pedestrian","title":"BoT-SORT: Robust Associations Multi-Pedestrian Tracking","date":"2022-06-29","arxiv_id":"2206.14651","n_code_links":7,"syntology":{"ran":10,"of":10,"n_ran_checked":7,"n_instrument":3,"unverified":0,"pointer_only":4,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["niraharon/bot-sort"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"contextual-density-ratio-for-language-model","title":"Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems","date":"2022-06-29","arxiv_id":"2206.14623","n_code_links":0,"syntology":null},{"paper":"/paper/continual-learning-for-human-state-monitoring","slug":"continual-learning-for-human-state-monitoring","title":"Continual Learning for Human State Monitoring","date":"2022-06-29","arxiv_id":"2207.00010","n_code_links":1,"syntology":null},{"paper":null,"slug":"deepmb-deep-neural-network-for-real-time","title":"DeepMB: Deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound","date":"2022-06-29","arxiv_id":"2206.14485","n_code_links":0,"syntology":null},{"paper":null,"slug":"extreme-compression-of-sentence-transformer","title":"Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices","date":"2022-06-29","arxiv_id":"2207.12852","n_code_links":0,"syntology":null},{"paper":null,"slug":"fairness-via-in-processing-in-the-over","title":"Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale","date":"2022-06-29","arxiv_id":"2206.14853","n_code_links":0,"syntology":null},{"paper":null,"slug":"greenbiqa-a-lightweight-blind-image-quality","title":"GreenBIQA: A Lightweight Blind Image Quality Assessment Method","date":"2022-06-29","arxiv_id":"2206.14400","n_code_links":0,"syntology":null},{"paper":"/paper/how-train-test-leakage-affects-zero-shot","slug":"how-train-test-leakage-affects-zero-shot","title":"How Train-Test Leakage Affects Zero-shot Retrieval","date":"2022-06-29","arxiv_id":"2206.14759","n_code_links":1,"syntology":null},{"paper":null,"slug":"language-based-audio-retrieval-with","title":"Language-Based Audio Retrieval with Converging Tied Layers and Contrastive Loss","date":"2022-06-29","arxiv_id":"2206.14659","n_code_links":0,"syntology":null},{"paper":null,"slug":"language-specific-characteristic-assistance","title":"Language-specific Characteristic Assistance for Code-switching Speech Recognition","date":"2022-06-29","arxiv_id":"2206.14580","n_code_links":0,"syntology":null},{"paper":null,"slug":"modeling-teams-performance-using-deep","title":"Modeling Teams Performance Using Deep Representational Learning on Graphs","date":"2022-06-29","arxiv_id":"2206.14741","n_code_links":0,"syntology":null},{"paper":"/paper/oasys-domain-agnostic-automated-system-for","slug":"oasys-domain-agnostic-automated-system-for","title":"OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base from Unstructured Text","date":"2022-06-29","arxiv_id":"2207.07597","n_code_links":1,"syntology":null},{"paper":"/paper/representation-and-synthesis-of-c-programs","slug":"representation-and-synthesis-of-c-programs","title":"Representation and Synthesis of C++ Programs for Generalized Planning","date":"2022-06-29","arxiv_id":"2206.14480","n_code_links":1,"syntology":null},{"paper":"/paper/towards-out-of-distribution-generalization","slug":"towards-out-of-distribution-generalization","title":"Towards out of distribution generalization for problems in mechanics","date":"2022-06-29","arxiv_id":"2206.14917","n_code_links":1,"syntology":null},{"paper":"/paper/what-can-secondary-predictions-tell-us-an","slug":"what-can-secondary-predictions-tell-us-an","title":"What Can Secondary Predictions Tell Us? An Exploration on Question-Answering with SQuAD-v2.0","date":"2022-06-29","arxiv_id":"2206.14348","n_code_links":1,"syntology":null},{"paper":"/paper/3d-multi-object-tracking-with-differentiable","slug":"3d-multi-object-tracking-with-differentiable","title":"3D Multi-Object Tracking with Differentiable Pose Estimation","date":"2022-06-28","arxiv_id":"2206.13785","n_code_links":0,"syntology":null},{"paper":null,"slug":"applications-of-reinforcement-learning-in-1","title":"Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network","date":"2022-06-28","arxiv_id":"2206.14267","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparison-of-speech-representations-for-the","title":"Comparison of Speech Representations for the MOS Prediction System","date":"2022-06-28","arxiv_id":"2206.13817","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-neural-networks-pruning-via-the","title":"Deep Neural Networks pruning via the Structured Perspective Regularization","date":"2022-06-28","arxiv_id":"2206.14056","n_code_links":0,"syntology":null},{"paper":null,"slug":"dependency-parsing-with-backtracking-using","title":"Dependency Parsing with Backtracking using Deep Reinforcement Learning","date":"2022-06-28","arxiv_id":"2206.13914","n_code_links":0,"syntology":null},{"paper":"/paper/electronic-structure-properties-from-atom","slug":"electronic-structure-properties-from-atom","title":"Electronic-structure properties from atom-centered predictions of the electron density","date":"2022-06-28","arxiv_id":"2206.14087","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-understanding-on-conceptual","title":"Evaluating Understanding on Conceptual Abstraction Benchmarks","date":"2022-06-28","arxiv_id":"2206.14187","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-linguistic-feature-and-model","title":"Exploring linguistic feature and model combination for speech recognition based automatic AD detection","date":"2022-06-28","arxiv_id":"2206.13758","n_code_links":0,"syntology":null},{"paper":null,"slug":"increasing-confidence-in-adversarial","title":"Increasing Confidence in Adversarial Robustness Evaluations","date":"2022-06-28","arxiv_id":"2206.13991","n_code_links":0,"syntology":null},{"paper":null,"slug":"information-entropy-initialized-concrete","title":"Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fields","date":"2022-06-28","arxiv_id":"2206.13968","n_code_links":0,"syntology":null},{"paper":"/paper/learning-the-solution-operator-of-boundary","slug":"learning-the-solution-operator-of-boundary","title":"Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks","date":"2022-06-28","arxiv_id":"2206.14092","n_code_links":1,"syntology":null},{"paper":null,"slug":"modeling-in-higher-dimensions-to-improve","title":"Modeling in higher dimensions to improve diagnostic testing accuracy: theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays","date":"2022-06-28","arxiv_id":"2206.14316","n_code_links":0,"syntology":null},{"paper":null,"slug":"multistep-automated-data-labelling-procedure","title":"Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation","date":"2022-06-28","arxiv_id":"2206.14305","n_code_links":0,"syntology":null},{"paper":"/paper/neural-integro-differential-equations","slug":"neural-integro-differential-equations","title":"Neural Integro-Differential Equations","date":"2022-06-28","arxiv_id":"2206.14282","n_code_links":1,"syntology":null},{"paper":null,"slug":"no-imputation-without-representation","title":"No imputation without representation","date":"2022-06-28","arxiv_id":"2206.14254","n_code_links":0,"syntology":null},{"paper":"/paper/on-the-impact-of-noises-in-crowd-sourced-data-1","slug":"on-the-impact-of-noises-in-crowd-sourced-data-1","title":"On the Impact of Noises in Crowd-Sourced Data for Speech Translation","date":"2022-06-28","arxiv_id":"2206.13756","n_code_links":1,"syntology":null},{"paper":null,"slug":"qti-submission-to-dcase-2021-residual","title":"QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design","date":"2022-06-28","arxiv_id":"2206.13909","n_code_links":0,"syntology":null},{"paper":null,"slug":"smart-application-for-fall-detection-using","title":"Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors","date":"2022-06-28","arxiv_id":"2207.00008","n_code_links":0,"syntology":null},{"paper":null,"slug":"studying-generalization-through-data","title":"Studying Generalization Through Data Averaging","date":"2022-06-28","arxiv_id":"2206.13669","n_code_links":0,"syntology":null}],"record_sha256":"c4ab802da812917ea21720d80ad32b016dbedea0bd829e52ba7714e88c52ecc7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}