{"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/base/papers/39","list_of":"/method/base","method":"BASE","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":39,"pages_in_order":58,"rows_per_page":100,"rows":[3801,3900],"of":5784,"counts":{"archive_papers_tagged":5784,"with_a_code_link":1913,"where_syntology_ran_a_sample":621,"not_listed_spam_title":0,"listed":5784,"listed_where_code_ran":621,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":523,"every_run_a_failure_of_syntologys_instrument":98,"listed_with_a_run_with_no_instrument_failure":523,"listed_every_run_a_failure_of_syntologys_instrument":98,"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/base","prev":"/method/base/papers/38","next":"/method/base/papers/40","papers":[{"paper":"/paper/information-based-preprocessing-of-plc-data","slug":"information-based-preprocessing-of-plc-data","title":"Information-based Preprocessing of PLC Data for Automatic Behavior Modeling","date":"2023-07-28","arxiv_id":"2307.15404","n_code_links":1,"syntology":null},{"paper":null,"slug":"optimal-alignment-of-temporal-knowledge-bases","title":"Optimal Alignment of Temporal Knowledge Bases","date":"2023-07-28","arxiv_id":"2307.15439","n_code_links":0,"syntology":null},{"paper":null,"slug":"generative-convective-parametrization-of-dry","title":"Generative convective parametrization of dry atmospheric boundary layer","date":"2023-07-27","arxiv_id":"2307.14857","n_code_links":0,"syntology":null},{"paper":null,"slug":"symbol-level-precoding-for-mu-mimo-system","title":"Symbol-Level Precoding for MU-MIMO System with RIRC Receiver","date":"2023-07-27","arxiv_id":"2307.14797","n_code_links":0,"syntology":null},{"paper":null,"slug":"piecewise-stationary-combinatorial-semi","title":"Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards","date":"2023-07-26","arxiv_id":"2307.14138","n_code_links":0,"syntology":null},{"paper":"/paper/this-is-not-correct-negation-aware-evaluation","slug":"this-is-not-correct-negation-aware-evaluation","title":"This is not correct! Negation-aware Evaluation of Language Generation Systems","date":"2023-07-26","arxiv_id":"2307.13989","n_code_links":2,"syntology":null},{"paper":null,"slug":"communication-efficient-orchestrations-for","title":"Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning","date":"2023-07-25","arxiv_id":"2307.13415","n_code_links":0,"syntology":null},{"paper":null,"slug":"composite-diffusion-whole-sparts","title":"Composite Diffusion | whole >= Σparts","date":"2023-07-25","arxiv_id":"2307.13720","n_code_links":0,"syntology":null},{"paper":"/paper/scoring-cycling-environments-perceived-safety","slug":"scoring-cycling-environments-perceived-safety","title":"Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons","date":"2023-07-25","arxiv_id":"2307.13397","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-ganfather-controllable-generation-of","title":"The GANfather: Controllable generation of malicious activity to improve defence systems","date":"2023-07-25","arxiv_id":"2307.13787","n_code_links":0,"syntology":null},{"paper":null,"slug":"nlos-localization-exploiting-frequency","title":"NLOS Localization Exploiting Frequency-selective Metasurfaces","date":"2023-07-24","arxiv_id":"2307.12800","n_code_links":0,"syntology":null},{"paper":"/paper/rlcd-reinforcement-learning-from-contrast","slug":"rlcd-reinforcement-learning-from-contrast","title":"RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment","date":"2023-07-24","arxiv_id":"2307.12950","n_code_links":2,"syntology":{"ran":2,"of":6,"n_ran_checked":1,"n_instrument":1,"unverified":4,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["facebookresearch/rlcd"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"an-axiomatized-pde-model-of-deep-neural","title":"An axiomatized PDE model of deep neural networks","date":"2023-07-23","arxiv_id":"2307.12333","n_code_links":0,"syntology":null},{"paper":null,"slug":"capacity-expansion-of-high-renewable","title":"Capacity Expansion of High Renewable Penetrated Energy Systems Considering Concentrating Solar Power for Seasonal Energy Balance","date":"2023-07-23","arxiv_id":"2307.12278","n_code_links":0,"syntology":null},{"paper":"/paper/list-learning-implicitly-from-spatial","slug":"list-learning-implicitly-from-spatial","title":"LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction","date":"2023-07-23","arxiv_id":"2307.12194","n_code_links":1,"syntology":null},{"paper":"/paper/identifying-misinformation-on-youtube-through","slug":"identifying-misinformation-on-youtube-through","title":"Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models","date":"2023-07-22","arxiv_id":"2307.12155","n_code_links":1,"syntology":null},{"paper":"/paper/pyrus-base-an-open-source-python-framework","slug":"pyrus-base-an-open-source-python-framework","title":"Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation","date":"2023-07-22","arxiv_id":"2307.16875","n_code_links":1,"syntology":null},{"paper":"/paper/predict-refine-synthesize-self-guiding","slug":"predict-refine-synthesize-self-guiding","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting","date":"2023-07-21","arxiv_id":"2307.11494","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":3,"n_instrument":1,"unverified":0,"pointer_only":3,"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":{"repos":["amazon-science/unconditional-time-series-diffusion"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"comparison-between-transformers-and","title":"Comparison between transformers and convolutional models for fine-grained classification of insects","date":"2023-07-20","arxiv_id":"2307.11112","n_code_links":0,"syntology":null},{"paper":"/paper/figcaps-hf-a-figure-to-caption-generative","slug":"figcaps-hf-a-figure-to-caption-generative","title":"FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback","date":"2023-07-20","arxiv_id":"2307.10867","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":1,"n_instrument":1,"unverified":2,"pointer_only":4,"phrase":"2 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["figcapshf/figcapshf"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"real-world-evaluation-of-full-duplex","title":"Real-World Evaluation of Full-Duplex Millimeter Wave Communication Systems","date":"2023-07-20","arxiv_id":"2307.10523","n_code_links":0,"syntology":null},{"paper":"/paper/vesper-a-compact-and-effective-pretrained","slug":"vesper-a-compact-and-effective-pretrained","title":"Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition","date":"2023-07-20","arxiv_id":"2307.10757","n_code_links":1,"syntology":null},{"paper":null,"slug":"how-many-neurons-does-it-take-to-approximate","title":"How Many Neurons Does it Take to Approximate the Maximum?","date":"2023-07-18","arxiv_id":"2307.09212","n_code_links":0,"syntology":null},{"paper":"/paper/learned-scalable-video-coding-for-humans-and","slug":"learned-scalable-video-coding-for-humans-and","title":"Learned Scalable Video Coding For Humans and Machines","date":"2023-07-18","arxiv_id":"2307.08978","n_code_links":1,"syntology":null},{"paper":null,"slug":"mobility-aware-joint-user-scheduling-and","title":"Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning","date":"2023-07-18","arxiv_id":"2307.09263","n_code_links":0,"syntology":null},{"paper":null,"slug":"non-stationary-delayed-combinatorial-semi","title":"Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards","date":"2023-07-18","arxiv_id":"2307.09093","n_code_links":0,"syntology":null},{"paper":"/paper/towards-federated-foundation-models-scalable-1","slug":"towards-federated-foundation-models-scalable-1","title":"Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning","date":"2023-07-18","arxiv_id":"2307.09619","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":["google-research/dataset_grouper"],"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/alpagasus-training-a-better-alpaca-with-fewer","slug":"alpagasus-training-a-better-alpaca-with-fewer","title":"AlpaGasus: Training A Better Alpaca with Fewer Data","date":"2023-07-17","arxiv_id":"2307.08701","n_code_links":3,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["gpt4life/alpagasus"],"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":"multi-domain-learning-with-modulation","title":"Multi-Domain Learning with Modulation Adapters","date":"2023-07-17","arxiv_id":"2307.08528","n_code_links":0,"syntology":null},{"paper":"/paper/scale-aware-modulation-meet-transformer","slug":"scale-aware-modulation-meet-transformer","title":"Scale-Aware Modulation Meet Transformer","date":"2023-07-17","arxiv_id":"2307.08579","n_code_links":2,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"3 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; 0 where Syntology's instrument failed) · 2 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","official":{"repos":["afeng-x/smt"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"channel-modeling-for-heterogeneous-vehicular","title":"Channel Modeling for Heterogeneous Vehicular ISAC System with Shared Clusters","date":"2023-07-16","arxiv_id":"2307.07995","n_code_links":0,"syntology":null},{"paper":"/paper/prompt-tuning-on-graph-augmented-low-resource","slug":"prompt-tuning-on-graph-augmented-low-resource","title":"Prompt Tuning on Graph-augmented Low-resource Text Classification","date":"2023-07-15","arxiv_id":"2307.10230","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["wenzhihao666/g2p2-conditional"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/variational-monte-carlo-on-a-budget-fine","slug":"variational-monte-carlo-on-a-budget-fine","title":"Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions","date":"2023-07-15","arxiv_id":"2307.09337","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"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) · 0 unverified","official":{"repos":["mdsunivie/deeperwin"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/exploring-link-prediction-over-hyper","slug":"exploring-link-prediction-over-hyper","title":"Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs","date":"2023-07-14","arxiv_id":"2307.10219","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-scenario-based-functional-testing-approach","title":"A Scenario-Based Functional Testing Approach to Improving DNN Performance","date":"2023-07-13","arxiv_id":"2307.07083","n_code_links":0,"syntology":null},{"paper":"/paper/bootstrapping-vision-language-learning-with-1","slug":"bootstrapping-vision-language-learning-with-1","title":"Bootstrapping Vision-Language Learning with Decoupled Language Pre-training","date":"2023-07-13","arxiv_id":"2307.07063","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":6,"n_instrument":1,"unverified":2,"pointer_only":1,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yiren-jian/blitext"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/generalizing-supervised-deep-learning-mri","slug":"generalizing-supervised-deep-learning-mri","title":"Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks","date":"2023-07-13","arxiv_id":"2307.06771","n_code_links":1,"syntology":null},{"paper":null,"slug":"intelligent-omni-surfaces-assisted-integrated","title":"Intelligent Omni Surfaces assisted Integrated Multi Target Sensing and Multi User MIMO Communications","date":"2023-07-13","arxiv_id":"2307.06605","n_code_links":0,"syntology":null},{"paper":"/paper/tackling-fake-news-in-bengali-unraveling-the","slug":"tackling-fake-news-in-bengali-unraveling-the","title":"Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models","date":"2023-07-13","arxiv_id":"2307.06979","n_code_links":1,"syntology":null},{"paper":"/paper/towards-populating-generalizable-engineering","slug":"towards-populating-generalizable-engineering","title":"Retrieval Augmented Generation using Engineering Design Knowledge","date":"2023-07-13","arxiv_id":"2307.06985","n_code_links":2,"syntology":null},{"paper":null,"slug":"forward-hysteresis-and-hopf-bifurcation-in-an","title":"Forward hysteresis and Hopf bifurcation in an NPZD model with application to harmful algal blooms","date":"2023-07-12","arxiv_id":"2307.06234","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-object-tracking-as-attention-mechanism","title":"Multi-Object Tracking as Attention Mechanism","date":"2023-07-12","arxiv_id":"2307.05874","n_code_links":0,"syntology":null},{"paper":null,"slug":"physics-informed-machine-learning-for-4","title":"Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models","date":"2023-07-12","arxiv_id":"2307.06267","n_code_links":0,"syntology":null},{"paper":null,"slug":"power-loss-minimization-of-distribution","title":"Power Loss Minimization of Distribution Network using Different Grid Strategies","date":"2023-07-12","arxiv_id":"2307.06275","n_code_links":0,"syntology":null},{"paper":null,"slug":"temporal-label-refinement-for-weakly","title":"Temporal Label-Refinement for Weakly-Supervised Audio-Visual Event Localization","date":"2023-07-12","arxiv_id":"2307.06385","n_code_links":0,"syntology":null},{"paper":null,"slug":"testing-different-log-bases-for-vector-model","title":"Testing different Log Bases For Vector Model Weighting Technique","date":"2023-07-12","arxiv_id":"2307.06213","n_code_links":0,"syntology":null},{"paper":null,"slug":"dnagpt-a-generalized-pretrained-tool-for","title":"DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence Analysis Tasks","date":"2023-07-11","arxiv_id":"2307.05628","n_code_links":0,"syntology":null},{"paper":null,"slug":"suryakiran-at-mediqa-sum-2023-leveraging-lora","title":"SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization","date":"2023-07-11","arxiv_id":"2307.05162","n_code_links":0,"syntology":null},{"paper":"/paper/writer-adaptation-for-offline-text","slug":"writer-adaptation-for-offline-text","title":"Writer adaptation for offline text recognition: An exploration of neural network-based methods","date":"2023-07-11","arxiv_id":"2307.15071","n_code_links":1,"syntology":null},{"paper":"/paper/animatediff-animate-your-personalized-text-to","slug":"animatediff-animate-your-personalized-text-to","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","date":"2023-07-10","arxiv_id":"2307.04725","n_code_links":8,"syntology":{"ran":6,"of":10,"n_ran_checked":5,"n_instrument":1,"unverified":4,"pointer_only":2,"phrase":"6 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; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["guoyww/animatediff"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":null,"slug":"ensemble-learning-for-blending-gridded","title":"Ensemble learning for blending gridded satellite and gauge-measured precipitation data","date":"2023-07-09","arxiv_id":"2307.06840","n_code_links":0,"syntology":null},{"paper":"/paper/mitosis-detection-from-partial-annotation-by","slug":"mitosis-detection-from-partial-annotation-by","title":"Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping","date":"2023-07-09","arxiv_id":"2307.04113","n_code_links":1,"syntology":null},{"paper":"/paper/improving-prototypical-part-networks-with","slug":"improving-prototypical-part-networks-with","title":"Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining","date":"2023-07-08","arxiv_id":"2307.03887","n_code_links":1,"syntology":null},{"paper":null,"slug":"large-ai-model-based-semantic-communications","title":"Large AI Model-Based Semantic Communications","date":"2023-07-07","arxiv_id":"2307.03492","n_code_links":0,"syntology":null},{"paper":null,"slug":"smoothing-the-edges-a-general-framework-for","title":"Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization","date":"2023-07-07","arxiv_id":"2307.03571","n_code_links":0,"syntology":null},{"paper":null,"slug":"contrast-is-all-you-need","title":"Contrast Is All You Need","date":"2023-07-06","arxiv_id":"2307.02882","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-domain-adaptation-of-sentence","title":"Efficient Domain Adaptation of Sentence Embeddings Using Adapters","date":"2023-07-06","arxiv_id":"2307.03104","n_code_links":0,"syntology":null},{"paper":null,"slug":"meta-federated-reinforcement-learning-for","title":"Meta Federated Reinforcement Learning for Distributed Resource Allocation","date":"2023-07-06","arxiv_id":"2307.02900","n_code_links":0,"syntology":null},{"paper":null,"slug":"semantic-aware-image-compressed-sensing","title":"Semantic-Aware Image Compressed Sensing","date":"2023-07-06","arxiv_id":"2307.03246","n_code_links":0,"syntology":null},{"paper":null,"slug":"viskop-visual-knowledge-oriented-programming","title":"VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering","date":"2023-07-06","arxiv_id":"2307.03130","n_code_links":0,"syntology":null},{"paper":null,"slug":"base-layer-efficiency-in-scalable-human","title":"Base Layer Efficiency in Scalable Human-Machine Coding","date":"2023-07-05","arxiv_id":"2307.02430","n_code_links":0,"syntology":null},{"paper":null,"slug":"becoming-self-instruct-introducing-early","title":"Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning","date":"2023-07-05","arxiv_id":"2307.03692","n_code_links":0,"syntology":null},{"paper":null,"slug":"interpretable-and-secure-trajectory","title":"Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication","date":"2023-07-05","arxiv_id":"2307.02002","n_code_links":0,"syntology":null},{"paper":"/paper/s3c-self-supervised-stochastic-classifiers","slug":"s3c-self-supervised-stochastic-classifiers","title":"S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning","date":"2023-07-05","arxiv_id":"2307.02246","n_code_links":1,"syntology":null},{"paper":null,"slug":"multilingual-contextual-adapters-to-improve","title":"Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages","date":"2023-07-03","arxiv_id":"2307.00759","n_code_links":0,"syntology":null},{"paper":null,"slug":"precheck-sequence-based-false-base-station","title":"Precheck Sequence Based False Base Station Detection During Handover: A Physical Layer Security Scheme","date":"2023-07-03","arxiv_id":"2307.01396","n_code_links":0,"syntology":null},{"paper":"/paper/bidirectional-looking-with-a-novel-double","slug":"bidirectional-looking-with-a-novel-double","title":"Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers","date":"2023-07-02","arxiv_id":"2307.00631","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":0,"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":{"repos":["chernyn/admeta-optimizer"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"shared-growth-of-graph-neural-networks-via","title":"Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation","date":"2023-07-02","arxiv_id":"2307.00534","n_code_links":0,"syntology":null},{"paper":"/paper/assembled-openml-creating-efficient","slug":"assembled-openml-creating-efficient","title":"Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML","date":"2023-07-01","arxiv_id":"2307.00285","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["isg-siegen/assembled"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/filter-pruning-for-efficient-cnns-via","slug":"filter-pruning-for-efficient-cnns-via","title":"Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler","date":"2023-07-01","arxiv_id":"2307.00198","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":5,"n_instrument":2,"unverified":4,"pointer_only":2,"phrase":"7 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; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["osilly/kdfs"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/low-resource-cross-lingual-adaptive-training","slug":"low-resource-cross-lingual-adaptive-training","title":"Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin","date":"2023-07-01","arxiv_id":"2307.00382","n_code_links":1,"syntology":null},{"paper":null,"slug":"cramer-rao-bound-minimization-for-irs-enabled-1","title":"Cramér-Rao Bound Minimization for IRS-Enabled Multiuser Integrated Sensing and Communications","date":"2023-06-30","arxiv_id":"2306.17493","n_code_links":0,"syntology":null},{"paper":"/paper/learned-harmonic-mean-estimation-of-the","slug":"learned-harmonic-mean-estimation-of-the","title":"Learned harmonic mean estimation of the marginal likelihood with normalizing flows","date":"2023-06-30","arxiv_id":"2307.00048","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-dialectal-representation-learning-of","title":"Multi-Dialectal Representation Learning of Sinitic Phonology","date":"2023-06-30","arxiv_id":"2307.01209","n_code_links":0,"syntology":null},{"paper":null,"slug":"cross-inferential-networks-for-source-free","title":"Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation","date":"2023-06-29","arxiv_id":"2306.16957","n_code_links":0,"syntology":null},{"paper":null,"slug":"identifying-important-sensory-feedback-for","title":"Identifying Important Sensory Feedback for Learning Locomotion Skills","date":"2023-06-29","arxiv_id":"2306.17101","n_code_links":0,"syntology":null},{"paper":null,"slug":"interference-mitigation-with-block","title":"Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications","date":"2023-06-29","arxiv_id":"2306.17307","n_code_links":0,"syntology":null},{"paper":null,"slug":"local-risk-bounds-for-statistical-aggregation","title":"Local Risk Bounds for Statistical Aggregation","date":"2023-06-29","arxiv_id":"2306.17151","n_code_links":0,"syntology":null},{"paper":"/paper/skiros2-a-skill-based-robot-control-platform","slug":"skiros2-a-skill-based-robot-control-platform","title":"SkiROS2: A skill-based Robot Control Platform for ROS","date":"2023-06-29","arxiv_id":"2306.17030","n_code_links":1,"syntology":null},{"paper":null,"slug":"streaming-egocentric-action-anticipation-an","title":"Streaming egocentric action anticipation: An evaluation scheme and approach","date":"2023-06-29","arxiv_id":"2306.16682","n_code_links":0,"syntology":null},{"paper":null,"slug":"understanding-the-overfitting-of-the-episodic","title":"Understanding the Overfitting of the Episodic Meta-training","date":"2023-06-29","arxiv_id":"2306.16873","n_code_links":0,"syntology":null},{"paper":"/paper/learning-to-pan-sharpening-with-memories-of","slug":"learning-to-pan-sharpening-with-memories-of","title":"Learning to Pan-sharpening with Memories of Spatial Details","date":"2023-06-28","arxiv_id":"2306.16181","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-practical-aspects-of-aggregation-defenses","title":"On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks","date":"2023-06-28","arxiv_id":"2306.16415","n_code_links":0,"syntology":null},{"paper":null,"slug":"confidence-based-ensembles-of-end-to-end","title":"Confidence-based Ensembles of End-to-End Speech Recognition Models","date":"2023-06-27","arxiv_id":"2306.15824","n_code_links":0,"syntology":null},{"paper":"/paper/knowprefix-tuning-a-two-stage-prefix-tuning","slug":"knowprefix-tuning-a-two-stage-prefix-tuning","title":"KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation","date":"2023-06-27","arxiv_id":"2306.15430","n_code_links":1,"syntology":null},{"paper":null,"slug":"large-language-models-as-annotators-enhancing","title":"Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost","date":"2023-06-27","arxiv_id":"2306.15766","n_code_links":0,"syntology":null},{"paper":null,"slug":"proximal-policy-optimization-for-integrated","title":"Proximal Policy Optimization for Integrated Sensing and Communication in mmWave Systems","date":"2023-06-27","arxiv_id":"2306.15429","n_code_links":0,"syntology":null},{"paper":"/paper/unsupervised-episode-generation-for-graph","slug":"unsupervised-episode-generation-for-graph","title":"Unsupervised Episode Generation for Graph Meta-learning","date":"2023-06-27","arxiv_id":"2306.15217","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":4,"n_instrument":1,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["jhngjng/naq-pytorch"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"balanced-filtering-via-non-disclosive-proxies","title":"Balanced Filtering via Disclosure-Controlled Proxies","date":"2023-06-26","arxiv_id":"2306.15083","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-continual-learning-via-flat-to-wide","slug":"few-shot-continual-learning-via-flat-to-wide","title":"Few-Shot Continual Learning via Flat-to-Wide Approaches","date":"2023-06-26","arxiv_id":"2306.14369","n_code_links":1,"syntology":null},{"paper":null,"slug":"geometry-aware-approaches-for-balancing","title":"Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits","date":"2023-06-26","arxiv_id":"2306.14872","n_code_links":0,"syntology":null},{"paper":"/paper/substructure-aware-graph-neural-networks","slug":"substructure-aware-graph-neural-networks","title":"Substructure Aware Graph Neural Networks","date":"2023-06-26","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-dynamic-image-advertising-with","title":"Enhancing Dynamic Image Advertising with Vision-Language Pre-training","date":"2023-06-25","arxiv_id":"2306.14112","n_code_links":0,"syntology":null},{"paper":null,"slug":"private-aggregation-in-wireless-federated","title":"Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion","date":"2023-06-25","arxiv_id":"2306.14088","n_code_links":0,"syntology":null},{"paper":"/paper/comparing-the-efficacy-of-fine-tuning-and","slug":"comparing-the-efficacy-of-fine-tuning-and","title":"Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation","date":"2023-06-23","arxiv_id":"2306.13554","n_code_links":4,"syntology":null},{"paper":null,"slug":"deconstructing-classifiers-towards-a-data","title":"Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models","date":"2023-06-23","arxiv_id":"2306.13789","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-qualitative-research-using-llms","title":"Exploring Qualitative Research Using LLMs","date":"2023-06-23","arxiv_id":"2306.13298","n_code_links":0,"syntology":null},{"paper":null,"slug":"human-activity-behavioural-pattern","title":"Human Activity Behavioural Pattern Recognition in Smarthome with Long-hour Data Collection","date":"2023-06-23","arxiv_id":"2306.13374","n_code_links":0,"syntology":null},{"paper":null,"slug":"retrieving-supporting-evidence-for-llms","title":"Retrieving Supporting Evidence for LLMs Generated Answers","date":"2023-06-23","arxiv_id":"2306.13781","n_code_links":0,"syntology":null},{"paper":"/paper/generative-multimodal-entity-linking","slug":"generative-multimodal-entity-linking","title":"Generative Multimodal Entity Linking","date":"2023-06-22","arxiv_id":"2306.12725","n_code_links":1,"syntology":null}],"record_sha256":"537db4f8d9037d05d69dc360d78f2fa8c5c9b5a3eed0e508b0db8543b124b6b7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}