{"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/set/papers/68","list_of":"/method/set","method":"SET","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":68,"pages_in_order":135,"rows_per_page":100,"rows":[6701,6800],"of":13419,"counts":{"archive_papers_tagged":13419,"with_a_code_link":4158,"where_syntology_ran_a_sample":1186,"not_listed_spam_title":0,"listed":13419,"listed_where_code_ran":1186,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1038,"every_run_a_failure_of_syntologys_instrument":148,"listed_with_a_run_with_no_instrument_failure":1038,"listed_every_run_a_failure_of_syntologys_instrument":148,"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/set","prev":"/method/set/papers/67","next":"/method/set/papers/69","papers":[{"paper":"/paper/scalable-learning-of-potentials-to-predict","slug":"scalable-learning-of-potentials-to-predict","title":"Scalable learning of potentials to predict time-dependent Hartree-Fock dynamics","date":"2024-08-08","arxiv_id":"2408.04765","n_code_links":1,"syntology":null},{"paper":null,"slug":"simulating-articulatory-trajectories-with","title":"Simulating Articulatory Trajectories with Phonological Feature Interpolation","date":"2024-08-08","arxiv_id":"2408.04363","n_code_links":0,"syntology":null},{"paper":null,"slug":"theoretical-advantage-of-multiobjective","title":"Theoretical Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict","date":"2024-08-08","arxiv_id":"2408.04207","n_code_links":0,"syntology":null},{"paper":"/paper/trans-tokenization-and-cross-lingual","slug":"trans-tokenization-and-cross-lingual","title":"Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP","date":"2024-08-08","arxiv_id":"2408.04303","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":["lagom-nlp/transtokenizer"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"what-could-go-wrong-discovering-and","title":"What could go wrong? Discovering and describing failure modes in computer vision","date":"2024-08-08","arxiv_id":"2408.04471","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-guide-to-similarity-measures","title":"A Guide to Similarity Measures","date":"2024-08-07","arxiv_id":"2408.07706","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-identification-of-the-area-covered","title":"Automatic identification of the area covered by acorn trees in the dehesa (pastureland) Extremadura of Spain","date":"2024-08-07","arxiv_id":"2408.03542","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-rule-based-insights-enhance-llms-for","title":"Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology","date":"2024-08-07","arxiv_id":"2408.04121","n_code_links":0,"syntology":null},{"paper":null,"slug":"certification-of-linear-inclusions-for","title":"Certification of Linear Inclusions for Nonlinear Systems","date":"2024-08-07","arxiv_id":"2408.03918","n_code_links":0,"syntology":null},{"paper":"/paper/deep-generative-models-for-subgraph","slug":"deep-generative-models-for-subgraph","title":"Deep Generative Models for Subgraph Prediction","date":"2024-08-07","arxiv_id":"2408.04053","n_code_links":1,"syntology":null},{"paper":null,"slug":"designing-extremely-memory-efficient-cnns-for","title":"Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks","date":"2024-08-07","arxiv_id":"2408.03663","n_code_links":0,"syntology":null},{"paper":"/paper/early-prediction-of-causes-not-effects-in","slug":"early-prediction-of-causes-not-effects-in","title":"Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting","date":"2024-08-07","arxiv_id":"2408.03816","n_code_links":1,"syntology":null},{"paper":null,"slug":"fast-sprite-decomposition-from-animated","title":"Fast Sprite Decomposition from Animated Graphics","date":"2024-08-07","arxiv_id":"2408.03923","n_code_links":0,"syntology":null},{"paper":null,"slug":"generative-design-of-periodic-orbits-in-the","title":"Generative Design of Periodic Orbits in the Restricted Three-Body Problem","date":"2024-08-07","arxiv_id":"2408.03691","n_code_links":0,"syntology":null},{"paper":null,"slug":"hierarchical-neural-constructive-solver-for","title":"Hierarchical Neural Constructive Solver for Real-world TSP Scenarios","date":"2024-08-07","arxiv_id":"2408.03585","n_code_links":0,"syntology":null},{"paper":"/paper/image-to-latex-converter-for-mathematical","slug":"image-to-latex-converter-for-mathematical","title":"Image-to-LaTeX Converter for Mathematical Formulas and Text","date":"2024-08-07","arxiv_id":"2408.04015","n_code_links":1,"syntology":null},{"paper":null,"slug":"jarvis-detecting-actions-in-video-using","title":"JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling","date":"2024-08-07","arxiv_id":"2408.03612","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-from-noisy-labels-for-long-tailed","title":"Learning from Noisy Labels for Long-tailed Data via Optimal Transport","date":"2024-08-07","arxiv_id":"2408.03977","n_code_links":0,"syntology":null},{"paper":"/paper/leveraging-llms-for-enhanced-open-vocabulary","slug":"leveraging-llms-for-enhanced-open-vocabulary","title":"Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian","date":"2024-08-07","arxiv_id":"2408.03516","n_code_links":1,"syntology":null},{"paper":null,"slug":"mmsummary-multimodal-summary-generation-for","title":"MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video","date":"2024-08-07","arxiv_id":"2408.03761","n_code_links":0,"syntology":null},{"paper":null,"slug":"mucai-at-wojoodner-2024-arabic-named-entity","title":"mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search","date":"2024-08-07","arxiv_id":"2408.03652","n_code_links":0,"syntology":null},{"paper":null,"slug":"out-of-core-dimensionality-reduction-for","title":"Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions","date":"2024-08-07","arxiv_id":"2408.04129","n_code_links":0,"syntology":null},{"paper":"/paper/pushpull-net-inhibition-driven-resnet-robust","slug":"pushpull-net-inhibition-driven-resnet-robust","title":"PushPull-Net: Inhibition-driven ResNet robust to image corruptions","date":"2024-08-07","arxiv_id":"2408.04077","n_code_links":1,"syntology":null},{"paper":"/paper/simultaneous-and-meshfree-topology","slug":"simultaneous-and-meshfree-topology","title":"Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes","date":"2024-08-07","arxiv_id":"2408.03490","n_code_links":1,"syntology":null},{"paper":"/paper/surgformer-surgical-transformer-with","slug":"surgformer-surgical-transformer-with","title":"Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition","date":"2024-08-07","arxiv_id":"2408.03867","n_code_links":1,"syntology":null},{"paper":null,"slug":"target-prompting-for-information-extraction","title":"Target Prompting for Information Extraction with Vision Language Model","date":"2024-08-07","arxiv_id":"2408.03834","n_code_links":0,"syntology":null},{"paper":"/paper/textsleuth-a-new-dataset-and-baseline-for","slug":"textsleuth-a-new-dataset-and-baseline-for","title":"TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection","date":"2024-08-07","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"underwater-litter-monitoring-using-consumer","title":"Underwater litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network","date":"2024-08-07","arxiv_id":"2408.03564","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02901","slug":"2408-02901","title":"Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection","date":"2024-08-06","arxiv_id":"2408.02901","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":7,"n_instrument":1,"unverified":3,"pointer_only":7,"phrase":"8 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; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["line/lighthouse"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/2408-02960","slug":"2408-02960","title":"Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic","date":"2024-08-06","arxiv_id":"2408.02960","n_code_links":1,"syntology":null},{"paper":"/paper/2408-02966","slug":"2408-02966","title":"Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement","date":"2024-08-06","arxiv_id":"2408.02966","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-03018","title":"Integrating Controllable Motion Skills from Demonstrations","date":"2024-08-06","arxiv_id":"2408.03018","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03074","title":"Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models","date":"2024-08-06","arxiv_id":"2408.03074","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03093","title":"Certifiably Robust Policies for Uncertain Parametric Environments","date":"2024-08-06","arxiv_id":"2408.03093","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03144","title":"Active Learning for Level Set Estimation Using Randomized Straddle Algorithms","date":"2024-08-06","arxiv_id":"2408.03144","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03156","title":"Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models","date":"2024-08-06","arxiv_id":"2408.03156","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03230","title":"Contrastive Learning for Image Complexity Representation","date":"2024-08-06","arxiv_id":"2408.03230","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-03320","title":"Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer","date":"2024-08-06","arxiv_id":"2408.03320","n_code_links":0,"syntology":null},{"paper":"/paper/bvi-aom-a-new-training-dataset-for-deep-video","slug":"bvi-aom-a-new-training-dataset-for-deep-video","title":"BVI-AOM: A New Training Dataset for Deep Video Compression Optimization","date":"2024-08-06","arxiv_id":"2408.03265","n_code_links":1,"syntology":null},{"paper":null,"slug":"centralization-in-attester-proposer","title":"Centralization in Attester-Proposer Separation","date":"2024-08-06","arxiv_id":"2408.03116","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-clustering-via-distribution-learning","title":"Deep Clustering via Distribution Learning","date":"2024-08-06","arxiv_id":"2408.03407","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-quality-transfer-of-diffusion-mri","title":"Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI","date":"2024-08-06","arxiv_id":"2408.03216","n_code_links":0,"syntology":null},{"paper":null,"slug":"rhiots-a-framework-for-evaluating","title":"RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms","date":"2024-08-06","arxiv_id":"2408.03399","n_code_links":0,"syntology":null},{"paper":null,"slug":"set2seq-transformer-learning-permutation","title":"Set2Seq Transformer: Learning Permutation Aware Set Representations of Artistic Sequences","date":"2024-08-06","arxiv_id":"2408.03404","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02207","slug":"2408-02207","title":"MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization","date":"2024-08-05","arxiv_id":"2408.02207","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":["TheLeprechaun25/MARCO"],"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/2408-02226","slug":"2408-02226","title":"ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation","date":"2024-08-05","arxiv_id":"2408.02226","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["agentic-learning-ai-lab/procreate-diffusion-public"],"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":null,"slug":"2408-02263","title":"VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking","date":"2024-08-05","arxiv_id":"2408.02263","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02265","title":"Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts","date":"2024-08-05","arxiv_id":"2408.02265","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02266","slug":"2408-02266","title":"One-Shot Collaborative Data Distillation","date":"2024-08-05","arxiv_id":"2408.02266","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02291","title":"SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes","date":"2024-08-05","arxiv_id":"2408.02291","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02301","slug":"2408-02301","title":"Network Fission Ensembles for Low-Cost Self-Ensembles","date":"2024-08-05","arxiv_id":"2408.02301","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02357","title":"On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'","date":"2024-08-05","arxiv_id":"2408.02357","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02392","title":"MaFreeI2P: A Matching-Free Image-to-Point Cloud Registration Paradigm with Active Camera Pose Retrieval","date":"2024-08-05","arxiv_id":"2408.02392","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02426","slug":"2408-02426","title":"Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image Classification","date":"2024-08-05","arxiv_id":"2408.02426","n_code_links":1,"syntology":null},{"paper":"/paper/2408-02484","slug":"2408-02484","title":"Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection","date":"2024-08-05","arxiv_id":"2408.02484","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ltttpku/cmmp"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2408-02509","title":"Black-Box Adversarial Attacks on LLM-Based Code Completion","date":"2024-08-05","arxiv_id":"2408.02509","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02568","title":"Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification","date":"2024-08-05","arxiv_id":"2408.02568","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02637","title":"Command-line Obfuscation Detection using Small Language Models","date":"2024-08-05","arxiv_id":"2408.02637","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02654","slug":"2408-02654","title":"On Using Quasirandom Sequences in Machine Learning for Model Weight Initialization","date":"2024-08-05","arxiv_id":"2408.02654","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02672","title":"Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics","date":"2024-08-05","arxiv_id":"2408.02672","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02707","title":"SnapE -- Training Snapshot Ensembles of Link Prediction Models","date":"2024-08-05","arxiv_id":"2408.02707","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02814","slug":"2408-02814","title":"Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services","date":"2024-08-05","arxiv_id":"2408.02814","n_code_links":1,"syntology":null},{"paper":null,"slug":"beyond-orthography-automatic-recovery-of","title":"Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic","date":"2024-08-05","arxiv_id":"2408.02430","n_code_links":0,"syntology":null},{"paper":null,"slug":"mdm-advancing-multi-domain-distribution","title":"MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis","date":"2024-08-05","arxiv_id":"2408.02714","n_code_links":0,"syntology":null},{"paper":null,"slug":"progressively-selective-label-enhancement-for","title":"Progressively Label Enhancement for Large Language Model Alignment","date":"2024-08-05","arxiv_id":"2408.02599","n_code_links":0,"syntology":null},{"paper":null,"slug":"toward-smart-scheduling-in-tapis","title":"Toward Smart Scheduling in Tapis","date":"2024-08-05","arxiv_id":"2408.03349","n_code_links":0,"syntology":null},{"paper":null,"slug":"youtube-video-download-using-python-project","title":"Youtube Video Download Using Python Project Report.","date":"2024-08-05","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01935","title":"Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference","date":"2024-08-04","arxiv_id":"2408.01935","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02014","slug":"2408-02014","title":"Unsupervised Representation Learning by Balanced Self Attention Matching","date":"2024-08-04","arxiv_id":"2408.02014","n_code_links":1,"syntology":null},{"paper":"/paper/2408-02018","slug":"2408-02018","title":"Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease","date":"2024-08-04","arxiv_id":"2408.02018","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02050","title":"Recovering the state and dynamics of autonomous system with partial states solution using neural networks","date":"2024-08-04","arxiv_id":"2408.02050","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02052","slug":"2408-02052","title":"EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits","date":"2024-08-04","arxiv_id":"2408.02052","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02701","title":"Randomized Transport Plans via Hierarchical Fully Probabilistic Design","date":"2024-08-04","arxiv_id":"2408.02701","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-approximate-methods-for-design-of","title":"Efficient Approximate Methods for Design of Experiments for Copolymer Engineering","date":"2024-08-04","arxiv_id":"2408.02166","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-logic-of-political-survival-revisited","title":"The Logic of Political Survival Revisited: Consequences of Elite Uncertainty Under Authoritarian Rule","date":"2024-08-04","arxiv_id":"2408.01887","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01623","slug":"2408-01623","title":"Dialog Flow Induction for Constrainable LLM-Based Chatbots","date":"2024-08-03","arxiv_id":"2408.01623","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01655","title":"Stimulating Imagination: Towards General-purpose Object Rearrangement","date":"2024-08-03","arxiv_id":"2408.01655","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01664","title":"SAT3D: Image-driven Semantic Attribute Transfer in 3D","date":"2024-08-03","arxiv_id":"2408.01664","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01691","title":"TreeCSS: An Efficient Framework for Vertical Federated Learning","date":"2024-08-03","arxiv_id":"2408.01691","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01712","title":"A General Ambiguity Model for Binary Edge Images with Edge Tracing and its Implementation","date":"2024-08-03","arxiv_id":"2408.01712","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01784","title":"Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion","date":"2024-08-03","arxiv_id":"2408.01784","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01875","title":"Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval","date":"2024-08-03","arxiv_id":"2408.01875","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-safety-with-control-barrierfunctions","title":"Adaptive Safety with Control Barrier Functions and Triggered Batch Least-Squares Identifier","date":"2024-08-03","arxiv_id":"2408.01738","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficacy-of-large-language-models-in","title":"Efficacy of Large Language Models in Systematic Reviews","date":"2024-08-03","arxiv_id":"2408.04646","n_code_links":0,"syntology":null},{"paper":"/paper/learning-what-to-monitor-using-machine","slug":"learning-what-to-monitor-using-machine","title":"Learning what to Monitor: using Machine Learning to Improve Past STL Monitoring","date":"2024-08-03","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/2408-01163","slug":"2408-01163","title":"Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery","date":"2024-08-02","arxiv_id":"2408.01163","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01233","title":"CLIP4Sketch: Enhancing Sketch to Mugshot Matching through Dataset Augmentation using Diffusion Models","date":"2024-08-02","arxiv_id":"2408.01233","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01253","title":"Metareasoning in uncertain environments: a meta-BAMDP framework","date":"2024-08-02","arxiv_id":"2408.01253","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01297","title":"Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees","date":"2024-08-02","arxiv_id":"2408.01297","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01355","slug":"2408-01355","title":"Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs","date":"2024-08-02","arxiv_id":"2408.01355","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01367","title":"Transformers are Universal In-context Learners","date":"2024-08-02","arxiv_id":"2408.01367","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01370","title":"EVIT: Event-based Visual-Inertial Tracking in Semi-Dense Maps Using Windowed Nonlinear Optimization","date":"2024-08-02","arxiv_id":"2408.01370","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01375","title":"Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets","date":"2024-08-02","arxiv_id":"2408.01375","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01505","title":"MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts","date":"2024-08-02","arxiv_id":"2408.01505","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02687","title":"Compositional Physical Reasoning of Objects and Events from Videos","date":"2024-08-02","arxiv_id":"2408.02687","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalized-reduced-wmmse-approach-for-cell","title":"Generalized Reduced-WMMSE Approach for Cell-Free Massive MIMO With Per-AP Power Constraints","date":"2024-08-02","arxiv_id":"2408.01320","n_code_links":0,"syntology":null},{"paper":null,"slug":"harmful-choices","title":"Harmful choices","date":"2024-08-02","arxiv_id":"2408.01317","n_code_links":0,"syntology":null},{"paper":null,"slug":"mapping-the-provenance-ontology-to-basic","title":"A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology","date":"2024-08-02","arxiv_id":"2408.03866","n_code_links":0,"syntology":null},{"paper":null,"slug":"relax-estimate-and-track-a-simple-battery","title":"Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method","date":"2024-08-02","arxiv_id":"2408.01127","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-resource-efficient-ddos-detection-in","title":"Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics","date":"2024-08-02","arxiv_id":null,"n_code_links":0,"syntology":null}],"record_sha256":"d983b037e622d4547fcd887d9b889e2eae3c8ca257fa3a12ff3c6c65b82e3553","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}