{"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/aware/papers/7","list_of":"/method/aware","method":"AWARE","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":7,"pages_in_order":19,"rows_per_page":100,"rows":[601,700],"of":1883,"counts":{"archive_papers_tagged":1883,"with_a_code_link":618,"where_syntology_ran_a_sample":145,"not_listed_spam_title":0,"listed":1883,"listed_where_code_ran":145,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":121,"every_run_a_failure_of_syntologys_instrument":24,"listed_with_a_run_with_no_instrument_failure":121,"listed_every_run_a_failure_of_syntologys_instrument":24,"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/aware","prev":"/method/aware/papers/6","next":"/method/aware/papers/8","papers":[{"paper":null,"slug":"brain-inspired-and-self-based-artificial","title":"Brain-inspired and Self-based Artificial Intelligence","date":"2024-02-29","arxiv_id":"2402.18784","n_code_links":0,"syntology":null},{"paper":null,"slug":"cause-and-effect-can-large-language-models","title":"Cause and Effect: Can Large Language Models Truly Understand Causality?","date":"2024-02-28","arxiv_id":"2402.18139","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-decentralized-market-mechanism-for-energy","title":"A Decentralized Market Mechanism for Energy Communities under Operating Envelopes","date":"2024-02-27","arxiv_id":"2402.17201","n_code_links":0,"syntology":null},{"paper":"/paper/carte-pretraining-and-transfer-for-tabular","slug":"carte-pretraining-and-transfer-for-tabular","title":"CARTE: Pretraining and Transfer for Tabular Learning","date":"2024-02-26","arxiv_id":"2402.16785","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":["soda-inria/carte"],"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":"cost-aware-best-arm-identification","title":"Cost Aware Best Arm Identification","date":"2024-02-26","arxiv_id":"2402.16710","n_code_links":0,"syntology":null},{"paper":null,"slug":"high-frequency-aware-hierarchical-contrastive","title":"High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs","date":"2024-02-26","arxiv_id":"2402.16240","n_code_links":0,"syntology":null},{"paper":"/paper/label-informed-contrastive-pretraining-for","slug":"label-informed-contrastive-pretraining-for","title":"Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs","date":"2024-02-26","arxiv_id":"2402.17791","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-machine-generated-texts-by-multi","slug":"detecting-machine-generated-texts-by-multi","title":"Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy","date":"2024-02-25","arxiv_id":"2402.16041","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":0,"n_instrument":5,"unverified":3,"pointer_only":0,"phrase":"5 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; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zshsh98/mmd-mp"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"implications-of-self-identified-race","title":"Implications of self-identified race, ethnicity, and genetic ancestry on genetic association studies in biobanks within health systems","date":"2024-02-24","arxiv_id":"2402.15696","n_code_links":0,"syntology":null},{"paper":null,"slug":"combining-transformer-based-deep","title":"Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization","date":"2024-02-23","arxiv_id":"2402.16609","n_code_links":0,"syntology":null},{"paper":null,"slug":"dosa-a-dataset-of-social-artifacts-from","title":"DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures","date":"2024-02-23","arxiv_id":"2403.14651","n_code_links":0,"syntology":null},{"paper":"/paper/grasp-see-and-place-efficient-unknown-object","slug":"grasp-see-and-place-efficient-unknown-object","title":"Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior","date":"2024-02-23","arxiv_id":"2402.15402","n_code_links":1,"syntology":null},{"paper":"/paper/smoothed-graph-contrastive-learning-via","slug":"smoothed-graph-contrastive-learning-via","title":"Smoothed Graph Contrastive Learning via Seamless Proximity Integration","date":"2024-02-23","arxiv_id":"2402.15270","n_code_links":1,"syntology":null},{"paper":"/paper/transformable-gaussian-reward-function-for","slug":"transformable-gaussian-reward-function-for","title":"Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning","date":"2024-02-22","arxiv_id":"2402.14569","n_code_links":1,"syntology":null},{"paper":"/paper/bears-make-neuro-symbolic-models-aware-of","slug":"bears-make-neuro-symbolic-models-aware-of","title":"BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts","date":"2024-02-19","arxiv_id":"2402.12240","n_code_links":1,"syntology":null},{"paper":null,"slug":"accelerating-local-laplacian-filters-on-fpgas","title":"Accelerating local laplacian filters on FPGAs","date":"2024-02-18","arxiv_id":"2402.12407","n_code_links":0,"syntology":null},{"paper":null,"slug":"msynfd-multi-hop-syntax-aware-fake-news","title":"MSynFD: Multi-hop Syntax aware Fake News Detection","date":"2024-02-18","arxiv_id":"2402.14834","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-a-proxy-for-potential-comorbid-adhd","title":"Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data","date":"2024-02-17","arxiv_id":"2403.05561","n_code_links":0,"syntology":null},{"paper":null,"slug":"llm-can-achieve-self-regulation-via","title":"LLM can Achieve Self-Regulation via Hyperparameter Aware Generation","date":"2024-02-17","arxiv_id":"2402.11251","n_code_links":0,"syntology":null},{"paper":null,"slug":"dart-a-principled-approach-to-adversarially","title":"DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation","date":"2024-02-16","arxiv_id":"2402.11120","n_code_links":0,"syntology":null},{"paper":null,"slug":"using-left-and-right-brains-together-towards","title":"Using Left and Right Brains Together: Towards Vision and Language Planning","date":"2024-02-16","arxiv_id":"2402.10534","n_code_links":0,"syntology":null},{"paper":null,"slug":"do-llms-know-about-hallucination-an-empirical","title":"Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States","date":"2024-02-15","arxiv_id":"2402.09733","n_code_links":0,"syntology":null},{"paper":"/paper/massively-multi-cultural-knowledge","slug":"massively-multi-cultural-knowledge","title":"Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking","date":"2024-02-14","arxiv_id":"2402.09369","n_code_links":1,"syntology":{"ran":7,"of":14,"n_ran_checked":7,"n_instrument":0,"unverified":7,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","official":{"repos":["yrf1/llm-massivemulticulturenormsknowledge-nclb"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"stability-and-multigroup-fairness-in-ranking","title":"Stability and Multigroup Fairness in Ranking with Uncertain Predictions","date":"2024-02-14","arxiv_id":"2402.09326","n_code_links":0,"syntology":null},{"paper":"/paper/complete-instances-mining-for-weakly-1","slug":"complete-instances-mining-for-weakly-1","title":"Complete Instances Mining for Weakly Supervised Instance Segmentation","date":"2024-02-12","arxiv_id":"2402.07633","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":8,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ZechengLi19/CIM"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/debiasing-recommendation-with-personal","slug":"debiasing-recommendation-with-personal","title":"Debiasing Recommendation with Personal Popularity","date":"2024-02-12","arxiv_id":"2402.07425","n_code_links":1,"syntology":null},{"paper":null,"slug":"game-of-trojans-adaptive-adversaries-against","title":"Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors","date":"2024-02-12","arxiv_id":"2402.08695","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-quality-aware-approaches-for-addressing","title":"Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models","date":"2024-02-11","arxiv_id":"2402.07258","n_code_links":0,"syntology":null},{"paper":null,"slug":"outlier-aware-training-for-low-bit","title":"Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks","date":"2024-02-11","arxiv_id":"2402.07200","n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-transition-aware-reconfiguration-of","title":"Fast Transition-Aware Reconfiguration of Liquid Crystal-based RISs","date":"2024-02-08","arxiv_id":"2402.05469","n_code_links":0,"syntology":null},{"paper":null,"slug":"investigating-reproducibility-in-deep","title":"Investigating Reproducibility in Deep Learning-Based Software Fault Prediction","date":"2024-02-08","arxiv_id":"2402.05645","n_code_links":0,"syntology":null},{"paper":null,"slug":"lightcam-a-fast-and-light-implementation-of","title":"LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verification","date":"2024-02-08","arxiv_id":"2402.06073","n_code_links":0,"syntology":null},{"paper":null,"slug":"question-aware-vision-transformer-for","title":"Question Aware Vision Transformer for Multimodal Reasoning","date":"2024-02-08","arxiv_id":"2402.05472","n_code_links":0,"syntology":null},{"paper":null,"slug":"ascent-a-context-aware-spectrum-coexistence","title":"ASCENT: A Context-Aware Spectrum Coexistence Design and Implementation Toolset for Policymakers in Satellite Bands","date":"2024-02-07","arxiv_id":"2402.05273","n_code_links":0,"syntology":null},{"paper":null,"slug":"context-aware-automated-passenger-counting","title":"Context-Aware Automated Passenger Counting Data Denoising","date":"2024-02-06","arxiv_id":"2402.08688","n_code_links":0,"syntology":null},{"paper":null,"slug":"position-paper-against-spurious-sparks","title":"Position: Stop Making Unscientific AGI Performance Claims","date":"2024-02-06","arxiv_id":"2402.03962","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-framework-for-partially-observed-reward","title":"A Theoretical Framework for Partially Observed Reward-States in RLHF","date":"2024-02-05","arxiv_id":"2402.03282","n_code_links":0,"syntology":null},{"paper":null,"slug":"authentication-and-integrity-of-smartphone","title":"Authentication and integrity of smartphone videos through multimedia container structure analysis","date":"2024-02-05","arxiv_id":"2402.06661","n_code_links":0,"syntology":null},{"paper":null,"slug":"cns-edit-3d-shape-editing-via-coupled-neural","title":"CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization","date":"2024-02-04","arxiv_id":"2402.02313","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-user-detection-and-localization-in-near","title":"Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces","date":"2024-02-04","arxiv_id":"2402.02488","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-and-effective-time-series","slug":"efficient-and-effective-time-series","title":"Efficient and Effective Time-Series Forecasting with Spiking Neural Networks","date":"2024-02-02","arxiv_id":"2402.01533","n_code_links":1,"syntology":null},{"paper":"/paper/kb-plugin-a-plug-and-play-framework-for-large","slug":"kb-plugin-a-plug-and-play-framework-for-large","title":"KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases","date":"2024-02-02","arxiv_id":"2402.01619","n_code_links":1,"syntology":null},{"paper":null,"slug":"europed-nn-uncertainty-aware-surrogate-model","title":"EuroPED-NN: Uncertainty aware surrogate model","date":"2024-02-01","arxiv_id":"2402.00760","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-dialog-safety-using-socially-aware","title":"Improving Dialog Safety using Socially Aware Contrastive Learning","date":"2024-02-01","arxiv_id":"2402.00446","n_code_links":0,"syntology":null},{"paper":null,"slug":"attention-graph-for-multi-robot-social","title":"Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning","date":"2024-01-31","arxiv_id":"2401.17914","n_code_links":0,"syntology":null},{"paper":"/paper/common-sense-reasoning-for-deep-fake","slug":"common-sense-reasoning-for-deep-fake","title":"Common Sense Reasoning for Deepfake Detection","date":"2024-01-31","arxiv_id":"2402.00126","n_code_links":1,"syntology":null},{"paper":"/paper/unveiling-the-power-of-self-supervision-for","slug":"unveiling-the-power-of-self-supervision-for","title":"Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking","date":"2024-01-31","arxiv_id":"2401.17617","n_code_links":1,"syntology":null},{"paper":null,"slug":"boostdream-efficient-refining-for-high","title":"BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion","date":"2024-01-30","arxiv_id":"2401.16764","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-carbon-premium-correlation-or-causation","title":"The Carbon Premium: Correlation or Causation? Evidence from S&P 500 Companies","date":"2024-01-29","arxiv_id":"2401.16455","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-optimizing-the-costs-of-llm-usage","title":"Towards Optimizing the Costs of LLM Usage","date":"2024-01-29","arxiv_id":"2402.01742","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-a-large-scale-fused-and-labeled","title":"Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas","date":"2024-01-28","arxiv_id":"2402.10077","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploiting-liver-ct-scans-in-colorectal","title":"Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification","date":"2024-01-25","arxiv_id":"2401.14206","n_code_links":0,"syntology":null},{"paper":"/paper/neighbor-aware-calibration-of-segmentation","slug":"neighbor-aware-calibration-of-segmentation","title":"Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints","date":"2024-01-25","arxiv_id":"2401.14487","n_code_links":1,"syntology":null},{"paper":null,"slug":"plate-a-perception-latency-aware-estimator","title":"PLATE: A perception-latency aware estimator,","date":"2024-01-24","arxiv_id":"2401.13596","n_code_links":0,"syntology":null},{"paper":null,"slug":"cim-mlc-a-multi-level-compilation-stack-for","title":"CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators","date":"2024-01-23","arxiv_id":"2401.12428","n_code_links":0,"syntology":null},{"paper":null,"slug":"context-matters-pushing-the-boundaries-of","title":"Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context","date":"2024-01-23","arxiv_id":"2401.12671","n_code_links":0,"syntology":null},{"paper":"/paper/momentum-sam-sharpness-aware-minimization","slug":"momentum-sam-sharpness-aware-minimization","title":"Momentum-SAM: Sharpness Aware Minimization without Computational Overhead","date":"2024-01-22","arxiv_id":"2401.12033","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"2 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["marlonbecker/msam"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fabrication-uncertainty-guided-design","title":"Fabrication uncertainty guided design optimization of a photonic crystal cavity by using Gaussian processes","date":"2024-01-19","arxiv_id":"2402.09420","n_code_links":0,"syntology":null},{"paper":null,"slug":"behavioral-simulation-exploring-a-possible","title":"Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity","date":"2024-01-18","arxiv_id":"2401.09851","n_code_links":0,"syntology":null},{"paper":null,"slug":"bpdo-boundary-points-dynamic-optimization-for","title":"BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection","date":"2024-01-18","arxiv_id":"2401.09997","n_code_links":0,"syntology":null},{"paper":"/paper/hardware-acceleration-for-real-time-wildfire","slug":"hardware-acceleration-for-real-time-wildfire","title":"Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks","date":"2024-01-16","arxiv_id":"2401.08105","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-vr-serious-game-to-increase-empathy-towards","title":"A VR Serious Game to Increase Empathy towards Students with Phonological Dyslexia","date":"2024-01-15","arxiv_id":"2401.10926","n_code_links":0,"syntology":null},{"paper":"/paper/cascadev-det-cascade-point-voting-for-3d","slug":"cascadev-det-cascade-point-voting-for-3d","title":"CascadeV-Det: Cascade Point Voting for 3D Object Detection","date":"2024-01-15","arxiv_id":"2401.07477","n_code_links":1,"syntology":null},{"paper":null,"slug":"dual-view-data-hallucination-with-semantic","title":"Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition","date":"2024-01-13","arxiv_id":"2401.07061","n_code_links":0,"syntology":null},{"paper":null,"slug":"evidence-to-generate-e2g-a-single-agent-two","title":"Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning","date":"2024-01-11","arxiv_id":"2401.05787","n_code_links":0,"syntology":null},{"paper":"/paper/lpac-learnable-perception-action","slug":"lpac-learnable-perception-action","title":"LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control","date":"2024-01-10","arxiv_id":"2401.04855","n_code_links":1,"syntology":null},{"paper":null,"slug":"coordgate-efficiently-computing-spatially","title":"CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks","date":"2024-01-09","arxiv_id":"2401.04680","n_code_links":0,"syntology":null},{"paper":"/paper/improving-the-robustness-of-knowledge","slug":"improving-the-robustness-of-knowledge","title":"Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning","date":"2024-01-09","arxiv_id":"2401.04361","n_code_links":1,"syntology":null},{"paper":null,"slug":"fma-net-flow-guided-dynamic-filtering-and","title":"FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring","date":"2024-01-08","arxiv_id":"2401.03707","n_code_links":0,"syntology":null},{"paper":null,"slug":"glisp-a-scalable-gnn-learning-system-by","title":"GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs","date":"2024-01-06","arxiv_id":"2401.03114","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-cost-efficient-fpga-implementation-of-tiny","title":"A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE","date":"2024-01-05","arxiv_id":"2401.02721","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-power-of-training-how-different-neural","title":"The Power of Training: How Different Neural Network Setups Influence the Energy Demand","date":"2024-01-03","arxiv_id":"2401.01851","n_code_links":0,"syntology":null},{"paper":"/paper/exploring-hyperspectral-anomaly-detection","slug":"exploring-hyperspectral-anomaly-detection","title":"Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector","date":"2024-01-02","arxiv_id":"2401.01093","n_code_links":1,"syntology":null},{"paper":null,"slug":"adaptive-hyper-graph-aggregation-for-modality","title":"Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"brush2prompt-contextual-prompt-generator-for","title":"Brush2Prompt: Contextual Prompt Generator for Object Inpainting","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/multi-attribute-interactions-matter-for-3d","slug":"multi-attribute-interactions-matter-for-3d","title":"Multi-Attribute Interactions Matter for 3D Visual Grounding","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"semantic-aware-multi-label-adversarial","title":"Semantic-Aware Multi-Label Adversarial Attacks","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"principle-interference-in-technical-and","title":"Principle Interference in Technical and Scientific Translation","date":"2023-12-30","arxiv_id":"2401.00177","n_code_links":0,"syntology":null},{"paper":null,"slug":"mobility-and-cost-aware-inference","title":"Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence","date":"2023-12-27","arxiv_id":"2312.16497","n_code_links":0,"syntology":null},{"paper":null,"slug":"virtualpainting-addressing-sparsity-with","title":"VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection","date":"2023-12-26","arxiv_id":"2312.16141","n_code_links":0,"syntology":null},{"paper":"/paper/deep-structure-and-attention-aware-subspace","slug":"deep-structure-and-attention-aware-subspace","title":"Deep Structure and Attention Aware Subspace Clustering","date":"2023-12-25","arxiv_id":"2312.15577","n_code_links":1,"syntology":null},{"paper":"/paper/knowledge-guided-semi-supervised-learning-for","slug":"knowledge-guided-semi-supervised-learning-for","title":"Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos","date":"2023-12-24","arxiv_id":"2312.15425","n_code_links":1,"syntology":null},{"paper":"/paper/fast-feature-aware-similarity-thresholding","slug":"fast-feature-aware-similarity-thresholding","title":"FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models","date":"2023-12-22","arxiv_id":"2312.14895","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["Subhodip123/weak-unlearning-gan"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"cva-hedging-by-risk-averse-stochastic-horizon","title":"CVA Hedging by Risk-Averse Stochastic-Horizon Reinforcement Learning","date":"2023-12-21","arxiv_id":"2312.14044","n_code_links":0,"syntology":null},{"paper":"/paper/deep-transfer-learning-for-visual-analysis","slug":"deep-transfer-learning-for-visual-analysis","title":"Deep transfer learning for visual analysis and attribution of paintings by Raphael","date":"2023-12-20","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"mindful-explanations-prevalence-and-impact-of","title":"Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research","date":"2023-12-19","arxiv_id":"2312.12119","n_code_links":0,"syntology":null},{"paper":null,"slug":"pept-expert-finding-meets-personalized-pre","title":"PEPT: Expert Finding Meets Personalized Pre-training","date":"2023-12-19","arxiv_id":"2312.12162","n_code_links":0,"syntology":null},{"paper":null,"slug":"ae-nerf-audio-enhanced-neural-radiance-field","title":"AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis","date":"2023-12-18","arxiv_id":"2312.10921","n_code_links":0,"syntology":null},{"paper":"/paper/multi-correlation-siamese-transformer-network","slug":"multi-correlation-siamese-transformer-network","title":"Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking","date":"2023-12-18","arxiv_id":"2312.11051","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-weighted-k-center-algorithm-for-data-subset","title":"A Weighted K-Center Algorithm for Data Subset Selection","date":"2023-12-17","arxiv_id":"2312.10602","n_code_links":0,"syntology":null},{"paper":"/paper/clipsyntel-clip-and-llm-synergy-for","slug":"clipsyntel-clip-and-llm-synergy-for","title":"CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare","date":"2023-12-16","arxiv_id":"2312.11541","n_code_links":1,"syntology":null},{"paper":null,"slug":"redcore-relative-advantage-aware-cross-modal","title":"RedCore: Relative Advantage Aware Cross-modal Representation Learning for Missing Modalities with Imbalanced Missing Rates","date":"2023-12-16","arxiv_id":"2312.10386","n_code_links":0,"syntology":null},{"paper":"/paper/ins-hoi-instance-aware-human-object","slug":"ins-hoi-instance-aware-human-object","title":"Ins-HOI: Instance Aware Human-Object Interactions Recovery","date":"2023-12-15","arxiv_id":"2312.09641","n_code_links":1,"syntology":null},{"paper":null,"slug":"kglens-a-parameterized-knowledge-graph","title":"KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs","date":"2023-12-15","arxiv_id":"2312.11539","n_code_links":0,"syntology":null},{"paper":"/paper/multi-level-graph-learning-for-audio-event","slug":"multi-level-graph-learning-for-audio-event","title":"Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction","date":"2023-12-15","arxiv_id":"2312.09952","n_code_links":1,"syntology":null},{"paper":null,"slug":"stable-compensators-in-parallel-to-stabilize","title":"Stable compensators in parallel to stabilize arbitrary proper rational SISO plants","date":"2023-12-15","arxiv_id":"2312.09819","n_code_links":0,"syntology":null},{"paper":"/paper/estimation-of-concept-explanations-should-be","slug":"estimation-of-concept-explanations-should-be","title":"Estimation of Concept Explanations Should be Uncertainty Aware","date":"2023-12-13","arxiv_id":"2312.08063","n_code_links":1,"syntology":null},{"paper":null,"slug":"usm-lite-quantization-and-sparsity-aware-fine","title":"USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models","date":"2023-12-13","arxiv_id":"2312.08553","n_code_links":0,"syntology":null},{"paper":null,"slug":"cost-aware-untargeted-poisoning-attack","title":"Cost Aware Untargeted Poisoning Attack against Graph Neural Networks,","date":"2023-12-12","arxiv_id":"2312.07158","n_code_links":0,"syntology":null},{"paper":null,"slug":"dcir-dynamic-consistency-intrinsic-reward-for","title":"DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning","date":"2023-12-10","arxiv_id":"2312.05783","n_code_links":0,"syntology":null}],"record_sha256":"622c8fbb7bd724e8bc0f5e9ee172f73b2ea481cca3666d9fb6b96f7c197ce234","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}