{"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/adopt/papers/7","list_of":"/method/adopt","method":"ADOPT","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":9,"rows_per_page":100,"rows":[601,700],"of":831,"counts":{"archive_papers_tagged":831,"with_a_code_link":256,"where_syntology_ran_a_sample":52,"not_listed_spam_title":0,"listed":831,"listed_where_code_ran":52,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":46,"every_run_a_failure_of_syntologys_instrument":6,"listed_with_a_run_with_no_instrument_failure":46,"listed_every_run_a_failure_of_syntologys_instrument":6,"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/adopt","prev":"/method/adopt/papers/6","next":"/method/adopt/papers/8","papers":[{"paper":"/paper/rolo-slam-rotation-optimized-lidar-only-slam","slug":"rolo-slam-rotation-optimized-lidar-only-slam","title":"ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle","date":"2025-01-04","arxiv_id":"2501.02166","n_code_links":1,"syntology":null},{"paper":null,"slug":"digital-analog-transmission-based-emergency","title":"Digital-Analog Transmission based Emergency Semantic Communications","date":"2025-01-03","arxiv_id":"2501.01616","n_code_links":0,"syntology":null},{"paper":"/paper/dual-mutual-learning-network-with-global","slug":"dual-mutual-learning-network-with-global","title":"Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection","date":"2025-01-03","arxiv_id":"2501.01648","n_code_links":1,"syntology":null},{"paper":null,"slug":"mixgcn-scalable-gcn-training-by-mixture-of","title":"MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators","date":"2025-01-03","arxiv_id":"2501.01951","n_code_links":0,"syntology":null},{"paper":"/paper/multi-agent-conversational-online-learning","slug":"multi-agent-conversational-online-learning","title":"Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification","date":"2025-01-03","arxiv_id":"2501.01849","n_code_links":1,"syntology":null},{"paper":"/paper/robust-self-paced-hashing-for-cross-modal","slug":"robust-self-paced-hashing-for-cross-modal","title":"Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels","date":"2025-01-03","arxiv_id":"2501.01699","n_code_links":1,"syntology":null},{"paper":"/paper/social-processes-probabilistic-meta-learning","slug":"social-processes-probabilistic-meta-learning","title":"Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting","date":"2025-01-03","arxiv_id":"2501.01915","n_code_links":1,"syntology":null},{"paper":"/paper/social-relation-meets-recommendation","slug":"social-relation-meets-recommendation","title":"Contrastive Learning Augmented Social Recommendations","date":"2025-01-03","arxiv_id":"2502.15695","n_code_links":1,"syntology":null},{"paper":"/paper/dumo-dual-encoder-modulation-network-for","slug":"dumo-dual-encoder-modulation-network-for","title":"DuMo: Dual Encoder Modulation Network for Precise Concept Erasure","date":"2025-01-02","arxiv_id":"2501.01125","n_code_links":1,"syntology":null},{"paper":"/paper/kalm-embedding-superior-training-data-brings","slug":"kalm-embedding-superior-training-data-brings","title":"KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model","date":"2025-01-02","arxiv_id":"2501.01028","n_code_links":1,"syntology":null},{"paper":"/paper/learning-3d-garment-animation-from","slug":"learning-3d-garment-animation-from","title":"Learning 3D Garment Animation from Trajectories of A Piece of Cloth","date":"2025-01-02","arxiv_id":"2501.01393","n_code_links":1,"syntology":null},{"paper":"/paper/sefar-semi-supervised-fine-grained-action","slug":"sefar-semi-supervised-fine-grained-action","title":"SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization","date":"2025-01-02","arxiv_id":"2501.01245","n_code_links":1,"syntology":null},{"paper":"/paper/think-more-hallucinate-less-mitigating","slug":"think-more-hallucinate-less-mitigating","title":"Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking","date":"2025-01-02","arxiv_id":"2501.01306","n_code_links":1,"syntology":null},{"paper":null,"slug":"bridging-modalities-improving-universal","title":"Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"dual-prompting-image-restoration-with","title":"Dual Prompting Image Restoration with Diffusion Transformers","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-video-super-resolution-for-real","title":"Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/large-language-models-are-read-write-policy","slug":"large-language-models-are-read-write-policy","title":"Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation","date":"2025-01-01","arxiv_id":"2501.00868","n_code_links":1,"syntology":null},{"paper":null,"slug":"less-is-more-efficient-image-vectorization","title":"Less is More: Efficient Image Vectorization with Adaptive Parameterization","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"lita-gs-illumination-agnostic-novel-view","title":"LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-modal-topology-embedded-graph-learning","title":"Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/one-shot-3d-object-canonicalization-based-on","slug":"one-shot-3d-object-canonicalization-based-on","title":"One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency","date":"2025-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"reperformer-immersive-human-centric","title":"RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"revisiting-audio-visual-segmentation-with","title":"Revisiting Audio-Visual Segmentation with Vision-Centric Transformer","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"roll-robust-noisy-pseudo-label-learning-for","title":"ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"watermarking-one-for-all-a-robust","title":"Watermarking One for All: A Robust Watermarking Scheme Against Partial Image Theft","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/wavelet-and-prototype-augmented-query-based","slug":"wavelet-and-prototype-augmented-query-based","title":"Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection","date":"2025-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"your-scale-factors-are-my-weapon-targeted-bit","title":"Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"a-fourfold-pathogen-reference-ontology-suite","title":"A Fourfold Pathogen Reference Ontology Suite","date":"2024-12-31","arxiv_id":"2501.01454","n_code_links":0,"syntology":null},{"paper":null,"slug":"alignab-pareto-optimal-energy-alignment-for","title":"AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies","date":"2024-12-30","arxiv_id":"2412.20984","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-visual-representation-for-text","slug":"enhancing-visual-representation-for-text","title":"Enhancing Visual Representation for Text-based Person Searching","date":"2024-12-30","arxiv_id":"2412.20646","n_code_links":1,"syntology":null},{"paper":null,"slug":"fastchgnet-training-one-universal-interatomic","title":"FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs","date":"2024-12-30","arxiv_id":"2412.20796","n_code_links":0,"syntology":null},{"paper":"/paper/hisynseg-weakly-supervised-histopathological","slug":"hisynseg-weakly-supervised-histopathological","title":"HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization","date":"2024-12-30","arxiv_id":"2412.20924","n_code_links":1,"syntology":null},{"paper":"/paper/unirs-unifying-multi-temporal-remote-sensing","slug":"unirs-unifying-multi-temporal-remote-sensing","title":"UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models","date":"2024-12-30","arxiv_id":"2412.20742","n_code_links":1,"syntology":null},{"paper":null,"slug":"iclr-in-context-learning-of-representations","title":"ICLR: In-Context Learning of Representations","date":"2024-12-29","arxiv_id":"2501.00070","n_code_links":0,"syntology":null},{"paper":null,"slug":"two-timescale-design-for-ap-mode-selection-of","title":"Two-Timescale Design for AP Mode Selection of Cooperative ISAC Networks","date":"2024-12-29","arxiv_id":"2412.20349","n_code_links":0,"syntology":null},{"paper":null,"slug":"complement-or-substitute-how-ai-increases-the","title":"Complement or substitute? How AI increases the demand for human skills","date":"2024-12-27","arxiv_id":"2412.19754","n_code_links":0,"syntology":null},{"paper":null,"slug":"spectral-temporal-fusion-representation-for","title":"Spectral-Temporal Fusion Representation for Person-in-Bed Detection","date":"2024-12-27","arxiv_id":"2412.19404","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-head-attention-driven-dynamic-visual","title":"Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching","date":"2024-12-26","arxiv_id":"2412.19184","n_code_links":0,"syntology":null},{"paper":"/paper/reversed-in-time-a-novel-temporal-emphasized","slug":"reversed-in-time-a-novel-temporal-emphasized","title":"Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text Retrieval","date":"2024-12-26","arxiv_id":"2412.19178","n_code_links":1,"syntology":null},{"paper":null,"slug":"cross-pcr-a-robust-cross-source-point-cloud","title":"Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework","date":"2024-12-25","arxiv_id":"2412.18873","n_code_links":0,"syntology":null},{"paper":null,"slug":"intra-and-inter-modal-context-interaction","title":"Intra- and Inter-modal Context Interaction Modeling for Conversational Speech Synthesis","date":"2024-12-25","arxiv_id":"2412.18733","n_code_links":0,"syntology":null},{"paper":"/paper/autodroid-v2-boosting-slm-based-gui-agents","slug":"autodroid-v2-boosting-slm-based-gui-agents","title":"AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation","date":"2024-12-24","arxiv_id":"2412.18116","n_code_links":1,"syntology":null},{"paper":null,"slug":"gefl-model-agnostic-federated-learning-with","title":"GeFL: Model-Agnostic Federated Learning with Generative Models","date":"2024-12-24","arxiv_id":"2412.18460","n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-quantification-in-stereo-matching","title":"Uncertainty Quantification in Stereo Matching","date":"2024-12-24","arxiv_id":"2412.18703","n_code_links":0,"syntology":null},{"paper":null,"slug":"uniplv-towards-label-efficient-open-world-3d","title":"UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervision","date":"2024-12-24","arxiv_id":"2412.18131","n_code_links":0,"syntology":null},{"paper":null,"slug":"unsupervised-learning-approach-for","title":"Unsupervised Learning Approach for Beamforming in Cell-Free Integrated Sensing and Communication","date":"2024-12-24","arxiv_id":"2412.18162","n_code_links":0,"syntology":null},{"paper":null,"slug":"adam-on-local-time-addressing-nonstationarity","title":"Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps","date":"2024-12-22","arxiv_id":"2412.17113","n_code_links":0,"syntology":null},{"paper":null,"slug":"adapting-image-to-video-diffusion-models-for","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","date":"2024-12-22","arxiv_id":"2412.17042","n_code_links":0,"syntology":null},{"paper":"/paper/anchor3dlane-3d-lane-detection-via-sample","slug":"anchor3dlane-3d-lane-detection-via-sample","title":"Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression","date":"2024-12-22","arxiv_id":"2412.16889","n_code_links":1,"syntology":null},{"paper":null,"slug":"design-of-frequency-index-modulated-waveforms","title":"Design of Frequency Index Modulated Waveforms for Integrated SAR and Communication on High-Altitude Platforms (HAPs)","date":"2024-12-22","arxiv_id":"2412.17035","n_code_links":0,"syntology":null},{"paper":null,"slug":"detect-changes-like-humans-incorporating","title":"Detect Changes like Humans: Incorporating Semantic Priors for Improved Change Detection","date":"2024-12-22","arxiv_id":"2412.16918","n_code_links":0,"syntology":null},{"paper":null,"slug":"erasablemask-a-robust-and-erasable-privacy","title":"ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models","date":"2024-12-22","arxiv_id":"2412.17038","n_code_links":0,"syntology":null},{"paper":null,"slug":"fedcross-intertemporal-federated-learning","title":"FedCross: Intertemporal Federated Learning Under Evolutionary Games","date":"2024-12-22","arxiv_id":"2412.16968","n_code_links":0,"syntology":null},{"paper":null,"slug":"gme-improving-universal-multimodal-retrieval","title":"GME: Improving Universal Multimodal Retrieval by Multimodal LLMs","date":"2024-12-22","arxiv_id":"2412.16855","n_code_links":0,"syntology":null},{"paper":null,"slug":"assessing-social-alignment-do-personality","title":"Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?","date":"2024-12-21","arxiv_id":"2412.16772","n_code_links":0,"syntology":null},{"paper":null,"slug":"attention-entropy-is-a-key-factor-an-analysis","title":"Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models","date":"2024-12-21","arxiv_id":"2412.16545","n_code_links":0,"syntology":null},{"paper":null,"slug":"llava-slt-visual-language-tuning-for-sign","title":"LLaVA-SLT: Visual Language Tuning for Sign Language Translation","date":"2024-12-21","arxiv_id":"2412.16524","n_code_links":0,"syntology":null},{"paper":null,"slug":"omnisplat-taming-feed-forward-3d-gaussian","title":"OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities","date":"2024-12-21","arxiv_id":"2412.16604","n_code_links":0,"syntology":null},{"paper":null,"slug":"roompainter-view-integrated-diffusion-for","title":"RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing","date":"2024-12-21","arxiv_id":"2412.16778","n_code_links":0,"syntology":null},{"paper":null,"slug":"cnn-lstm-hybrid-deep-learning-model-for","title":"CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation","date":"2024-12-20","arxiv_id":"2412.15998","n_code_links":0,"syntology":null},{"paper":"/paper/decoding-fairness-a-reinforcement-learning","slug":"decoding-fairness-a-reinforcement-learning","title":"Decoding fairness: a reinforcement learning perspective","date":"2024-12-20","arxiv_id":"2412.16249","n_code_links":1,"syntology":null},{"paper":null,"slug":"microservices-based-framework-for-predictive","title":"Microservices-Based Framework for Predictive Analytics and Real-time Performance Enhancement in Travel Reservation Systems","date":"2024-12-20","arxiv_id":"2412.15616","n_code_links":0,"syntology":null},{"paper":"/paper/template-driven-llm-paraphrased-framework-for","slug":"template-driven-llm-paraphrased-framework-for","title":"Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation","date":"2024-12-20","arxiv_id":"2412.15594","n_code_links":1,"syntology":null},{"paper":null,"slug":"lolafl-low-latency-federated-learning-via","title":"LoLaFL: Low-Latency Federated Learning via Forward-only Propagation","date":"2024-12-19","arxiv_id":"2412.14668","n_code_links":0,"syntology":null},{"paper":"/paper/sliding-windows-are-not-the-end-exploring","slug":"sliding-windows-are-not-the-end-exploring","title":"Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models","date":"2024-12-19","arxiv_id":"2412.14574","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-digital-ecosystem-of-beliefs-does","title":"The Digital Ecosystem of Beliefs: does evolution favour AI over humans?","date":"2024-12-19","arxiv_id":"2412.14500","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-query-efficient-data-generation","title":"Exploring Query Efficient Data Generation towards Data-free Model Stealing in Hard Label Setting","date":"2024-12-18","arxiv_id":"2412.15276","n_code_links":0,"syntology":null},{"paper":null,"slug":"federated-unlearning-model-recovery-in-data","title":"Federated Unlearning Model Recovery in Data with Skewed Label Distributions","date":"2024-12-18","arxiv_id":"2412.13466","n_code_links":0,"syntology":null},{"paper":null,"slug":"from-expectation-to-habit-why-do-software","title":"From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?","date":"2024-12-18","arxiv_id":"2412.13846","n_code_links":0,"syntology":null},{"paper":null,"slug":"heterogeneous-multi-agent-reinforcement-3","title":"Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs","date":"2024-12-18","arxiv_id":"2412.14218","n_code_links":0,"syntology":null},{"paper":null,"slug":"mcmat-multiview-consistent-and-physically","title":"MCMat: Multiview-Consistent and Physically Accurate PBR Material Generation","date":"2024-12-18","arxiv_id":"2412.14148","n_code_links":0,"syntology":null},{"paper":"/paper/model-decides-how-to-tokenize-adaptive-dna","slug":"model-decides-how-to-tokenize-adaptive-dna","title":"Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA","date":"2024-12-18","arxiv_id":"2412.13716","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["qiaoqiaolf/mxdna"],"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":["found_in_text","official"]}}},{"paper":"/paper/rag-rewardbench-benchmarking-reward-models-in","slug":"rag-rewardbench-benchmarking-reward-models-in","title":"RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment","date":"2024-12-18","arxiv_id":"2412.13746","n_code_links":1,"syntology":null},{"paper":"/paper/theagentcompany-benchmarking-llm-agents-on","slug":"theagentcompany-benchmarking-llm-agents-on","title":"TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks","date":"2024-12-18","arxiv_id":"2412.14161","n_code_links":2,"syntology":{"ran":14,"of":16,"n_ran_checked":14,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["theagentcompany/experiments","theagentcompany/theagentcompany"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"agnosticism-about-artificial-consciousness","title":"Agnosticism About Artificial Consciousness","date":"2024-12-17","arxiv_id":"2412.13145","n_code_links":0,"syntology":null},{"paper":null,"slug":"boosting-llm-based-relevance-modeling-with","title":"Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning","date":"2024-12-17","arxiv_id":"2412.12504","n_code_links":0,"syntology":null},{"paper":null,"slug":"future-aspects-in-human-action-recognition","title":"Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences","date":"2024-12-17","arxiv_id":"2412.12990","n_code_links":0,"syntology":null},{"paper":null,"slug":"is-it-the-end-of-generative-linguistics-as-we","title":"Is it the end of (generative) linguistics as we know it?","date":"2024-12-17","arxiv_id":"2412.12797","n_code_links":0,"syntology":null},{"paper":null,"slug":"jailbreaking-one-step-is-enough","title":"Jailbreaking? One Step Is Enough!","date":"2024-12-17","arxiv_id":"2412.12621","n_code_links":0,"syntology":null},{"paper":"/paper/bilevel-learning-with-inexact-stochastic","slug":"bilevel-learning-with-inexact-stochastic","title":"Bilevel Learning with Inexact Stochastic Gradients","date":"2024-12-16","arxiv_id":"2412.12049","n_code_links":1,"syntology":null},{"paper":"/paper/drivegazen-event-based-driving-status","slug":"drivegazen-event-based-driving-status","title":"DriveGazen: Event-Based Driving Status Recognition using Conventional Camera","date":"2024-12-16","arxiv_id":"2412.11753","n_code_links":1,"syntology":null},{"paper":"/paper/future-sight-and-tough-fights-revolutionizing","slug":"future-sight-and-tough-fights-revolutionizing","title":"Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec","date":"2024-12-16","arxiv_id":"2412.11589","n_code_links":1,"syntology":null},{"paper":"/paper/multi-modal-and-multi-scale-spatial","slug":"multi-modal-and-multi-scale-spatial","title":"Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech","date":"2024-12-16","arxiv_id":"2412.11409","n_code_links":1,"syntology":null},{"paper":null,"slug":"near-large-far-small-relative-distance-based","title":"Relative Distance Guided Dynamic Partition Learning for Scale-Invariant UAV-View Geo-Localization","date":"2024-12-16","arxiv_id":"2412.11535","n_code_links":0,"syntology":null},{"paper":"/paper/text-and-image-are-mutually-beneficial","slug":"text-and-image-are-mutually-beneficial","title":"Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP","date":"2024-12-16","arxiv_id":"2412.11375","n_code_links":1,"syntology":null},{"paper":null,"slug":"transition-dynamics-of-electricity-asset","title":"Transition dynamics of electricity asset-owning firms","date":"2024-12-16","arxiv_id":"2412.11597","n_code_links":0,"syntology":null},{"paper":null,"slug":"binary-or-nonbinary-an-evolutionary-learning","title":"Binary or nonbinary? An evolutionary learning approach to gender identity","date":"2024-12-14","arxiv_id":"2412.10959","n_code_links":0,"syntology":null},{"paper":"/paper/multi-class-and-multi-task-strategies-for","slug":"multi-class-and-multi-task-strategies-for","title":"Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction","date":"2024-12-14","arxiv_id":"2412.10895","n_code_links":1,"syntology":null},{"paper":null,"slug":"rat-adversarial-attacks-on-deep-reinforcement","title":"RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors","date":"2024-12-14","arxiv_id":"2412.10713","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-differentiable-wave-optics-model-for-end-to","title":"A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization","date":"2024-12-13","arxiv_id":"2412.09774","n_code_links":0,"syntology":null},{"paper":null,"slug":"dynamic-try-on-taming-video-virtual-try-on","title":"Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism","date":"2024-12-13","arxiv_id":"2412.09822","n_code_links":0,"syntology":null},{"paper":"/paper/gaussianad-gaussian-centric-end-to-end","slug":"gaussianad-gaussian-centric-end-to-end","title":"GaussianAD: Gaussian-Centric End-to-End Autonomous Driving","date":"2024-12-13","arxiv_id":"2412.10371","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":6,"n_instrument":1,"unverified":1,"pointer_only":8,"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) · 1 unverified","official":{"repos":["wzzheng/gaussianad"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"guidance-not-obstruction-a-conjugate","title":"Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization","date":"2024-12-13","arxiv_id":"2412.10089","n_code_links":0,"syntology":null},{"paper":null,"slug":"matrix-completion-via-residual-spectral","title":"Matrix Completion via Residual Spectral Matching","date":"2024-12-13","arxiv_id":"2412.10005","n_code_links":0,"syntology":null},{"paper":"/paper/textrm-a-textrm-2-rnet-adversarial-attack","slug":"textrm-a-textrm-2-rnet-adversarial-attack","title":"A2RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion","date":"2024-12-13","arxiv_id":"2412.09954","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-correlated-gaussian-sparse-histogram","title":"The Correlated Gaussian Sparse Histogram Mechanism","date":"2024-12-13","arxiv_id":"2412.10357","n_code_links":0,"syntology":null},{"paper":null,"slug":"ultra-high-resolution-segmentation-via","title":"Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer","date":"2024-12-13","arxiv_id":"2412.10181","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-plug-and-play-algorithm-for-3d-video-super","title":"A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data","date":"2024-12-12","arxiv_id":"2412.09427","n_code_links":0,"syntology":null},{"paper":"/paper/auto-regressive-moving-diffusion-models-for","slug":"auto-regressive-moving-diffusion-models-for","title":"Auto-Regressive Moving Diffusion Models for Time Series Forecasting","date":"2024-12-12","arxiv_id":"2412.09328","n_code_links":1,"syntology":{"ran":20,"of":20,"n_ran_checked":19,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 4 honoured, 2 violated, 13 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["daxin007/armd"],"state":"official (archive's flag): 20 ran","n_ran":20,"n_constructed":0,"n_ran_no_instrument_failure":19,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fd2-net-frequency-driven-feature","title":"FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection","date":"2024-12-12","arxiv_id":"2412.09258","n_code_links":0,"syntology":null}],"record_sha256":"f6b134c5353011245ffd12a6d3a295652e97aae022eb7844357d1239b1ab77d9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}