{"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/speed/papers/30","list_of":"/method/speed","method":"SPEED","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":30,"pages_in_order":96,"rows_per_page":100,"rows":[2901,3000],"of":9573,"counts":{"archive_papers_tagged":9576,"with_a_code_link":3061,"where_syntology_ran_a_sample":779,"not_listed_spam_title":3,"listed":9573,"listed_where_code_ran":779,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":677,"every_run_a_failure_of_syntologys_instrument":102,"listed_with_a_run_with_no_instrument_failure":677,"listed_every_run_a_failure_of_syntologys_instrument":102,"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/speed","prev":"/method/speed/papers/29","next":"/method/speed/papers/31","papers":[{"paper":null,"slug":"examining-monitoring-system-detecting","title":"Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations","date":"2024-02-19","arxiv_id":"2402.12179","n_code_links":0,"syntology":null},{"paper":null,"slug":"federated-bayesian-network-ensembles","title":"Federated Bayesian Network Ensembles","date":"2024-02-19","arxiv_id":"2402.12142","n_code_links":0,"syntology":null},{"paper":"/paper/fit-flexible-vision-transformer-for-diffusion","slug":"fit-flexible-vision-transformer-for-diffusion","title":"FiT: Flexible Vision Transformer for Diffusion Model","date":"2024-02-19","arxiv_id":"2402.12376","n_code_links":2,"syntology":{"ran":15,"of":17,"n_ran_checked":11,"n_instrument":4,"unverified":2,"pointer_only":3,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 4 where Syntology's instrument failed) · 2 unverified","official":{"repos":["whlzy/fit"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/generation-meets-verification-accelerating","slug":"generation-meets-verification-accelerating","title":"Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding","date":"2024-02-19","arxiv_id":"2402.11809","n_code_links":2,"syntology":{"ran":9,"of":11,"n_ran_checked":4,"n_instrument":5,"unverified":2,"pointer_only":4,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified","official":{"repos":["cteant/space","hiyouga/llama-factory"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/lora-efficient-low-rank-adaptation-of-large","slug":"lora-efficient-low-rank-adaptation-of-large","title":"LoRA+: Efficient Low Rank Adaptation of Large Models","date":"2024-02-19","arxiv_id":"2402.12354","n_code_links":2,"syntology":{"ran":1,"of":4,"n_ran_checked":1,"n_instrument":0,"unverified":3,"pointer_only":1,"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) · 3 unverified","official":{"repos":["nikhil-ghosh-berkeley/loraplus"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"revisiting-registration-based-synthesis-a","title":"Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis","date":"2024-02-19","arxiv_id":"2402.12288","n_code_links":0,"syntology":null},{"paper":"/paper/sequoia-scalable-robust-and-hardware-aware","slug":"sequoia-scalable-robust-and-hardware-aware","title":"Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding","date":"2024-02-19","arxiv_id":"2402.12374","n_code_links":1,"syntology":{"ran":6,"of":10,"n_ran_checked":3,"n_instrument":3,"unverified":4,"pointer_only":10,"phrase":"6 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; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["infini-ai-lab/sequoia"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"truncated-polynomial-expansion-based","title":"Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach","date":"2024-02-19","arxiv_id":"2402.12595","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-multispectral-automated-transfer-technique","title":"A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM)","date":"2024-02-18","arxiv_id":"2402.11413","n_code_links":0,"syntology":null},{"paper":"/paper/polypnextlstm-a-lightweight-and-fast-polyp","slug":"polypnextlstm-a-lightweight-and-fast-polyp","title":"PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM","date":"2024-02-18","arxiv_id":"2402.11585","n_code_links":1,"syntology":null},{"paper":"/paper/centroid-based-efficient-minimum-bayes-risk","slug":"centroid-based-efficient-minimum-bayes-risk","title":"Centroid-Based Efficient Minimum Bayes Risk Decoding","date":"2024-02-17","arxiv_id":"2402.11197","n_code_links":1,"syntology":null},{"paper":"/paper/onebit-towards-extremely-low-bit-large","slug":"onebit-towards-extremely-low-bit-large","title":"OneBit: Towards Extremely Low-bit Large Language Models","date":"2024-02-17","arxiv_id":"2402.11295","n_code_links":1,"syntology":{"ran":8,"of":12,"n_ran_checked":4,"n_instrument":4,"unverified":4,"pointer_only":7,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified","official":{"repos":["xuyuzhuang11/onebit"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"optimizing-wireless-networks-with-deep","title":"Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms","date":"2024-02-17","arxiv_id":"2403.18930","n_code_links":0,"syntology":null},{"paper":null,"slug":"accelerating-semi-asynchronous-federated","title":"Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach","date":"2024-02-16","arxiv_id":"2402.10991","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-transformers-predict-vibrations","title":"Can Transformers Predict Vibrations?","date":"2024-02-16","arxiv_id":"2402.10511","n_code_links":0,"syntology":null},{"paper":"/paper/codamal-contrastive-domain-adaptation-for","slug":"codamal-contrastive-domain-adaptation-for","title":"CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes","date":"2024-02-16","arxiv_id":"2402.10478","n_code_links":1,"syntology":null},{"paper":null,"slug":"efficiency-at-scale-investigating-the","title":"Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks","date":"2024-02-16","arxiv_id":"2402.10597","n_code_links":0,"syntology":null},{"paper":"/paper/make-a-cheap-scaling-a-self-cascade-diffusion","slug":"make-a-cheap-scaling-a-self-cascade-diffusion","title":"Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation","date":"2024-02-16","arxiv_id":"2402.10491","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":5,"n_instrument":3,"unverified":0,"pointer_only":8,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["guolanqing/self-cascade"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"real-time-model-based-quantitative-ultrasound","title":"Real-Time Model-Based Quantitative Ultrasound and Radar","date":"2024-02-16","arxiv_id":"2402.10520","n_code_links":0,"syntology":null},{"paper":"/paper/speaking-in-wavelet-domain-a-simple-and","slug":"speaking-in-wavelet-domain-a-simple-and","title":"Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model","date":"2024-02-16","arxiv_id":"2402.10642","n_code_links":0,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"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) · 0 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","official":null}},{"paper":null,"slug":"speculative-streaming-fast-llm-inference","title":"Speculative Streaming: Fast LLM Inference without Auxiliary Models","date":"2024-02-16","arxiv_id":"2402.11131","n_code_links":0,"syntology":null},{"paper":null,"slug":"toward-using-gans-in-astrophysical-monte","title":"Toward using GANs in astrophysical Monte-Carlo simulations","date":"2024-02-16","arxiv_id":"2402.12396","n_code_links":0,"syntology":null},{"paper":"/paper/a-trembling-house-of-cards-mapping","slug":"a-trembling-house-of-cards-mapping","title":"A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents","date":"2024-02-15","arxiv_id":"2402.10196","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-nerfs-for-3d-plant-geometry","title":"Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions","date":"2024-02-15","arxiv_id":"2402.10344","n_code_links":0,"syntology":null},{"paper":"/paper/ges-generalized-exponential-splatting-for","slug":"ges-generalized-exponential-splatting-for","title":"GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering","date":"2024-02-15","arxiv_id":"2402.10128","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ajhamdi/ges-splatting"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"hi-gan-hierarchical-inpainting-gan-with","title":"HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting","date":"2024-02-15","arxiv_id":"2402.10334","n_code_links":0,"syntology":null},{"paper":"/paper/llm-based-federated-recommendation","slug":"llm-based-federated-recommendation","title":"A Federated Framework for LLM-based Recommendation","date":"2024-02-15","arxiv_id":"2402.09959","n_code_links":1,"syntology":null},{"paper":"/paper/nuteprune-efficient-progressive-pruning-with","slug":"nuteprune-efficient-progressive-pruning-with","title":"NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models","date":"2024-02-15","arxiv_id":"2402.09773","n_code_links":1,"syntology":{"ran":9,"of":16,"n_ran_checked":5,"n_instrument":4,"unverified":7,"pointer_only":16,"phrase":"9 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; 4 where Syntology's instrument failed) · 7 unverified","official":{"repos":["lucius-lsr/nuteprune"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"quantized-embedding-vectors-for-controllable","title":"Quantized Embedding Vectors for Controllable Diffusion Language Models","date":"2024-02-15","arxiv_id":"2402.10107","n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-svd-made-easy-a-fast-and-reliable","title":"Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis","date":"2024-02-15","arxiv_id":"2402.09754","n_code_links":0,"syntology":null},{"paper":null,"slug":"smart-information-exchange-for-unsupervised","title":"Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning","date":"2024-02-15","arxiv_id":"2402.09629","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-digital-twin-prototype-for-traffic-sign","title":"A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle","date":"2024-02-14","arxiv_id":"2402.09097","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-game-theoretic-approach-to-lowering","title":"A game theoretic approach to lowering incentives to violate speed limits in Finland","date":"2024-02-14","arxiv_id":"2402.09556","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-practical-and-online-trajectory-planner-for","title":"A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control","date":"2024-02-14","arxiv_id":"2402.09009","n_code_links":0,"syntology":null},{"paper":null,"slug":"advancing-nlp-models-with-strategic-text","title":"Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies","date":"2024-02-14","arxiv_id":"2402.09141","n_code_links":0,"syntology":null},{"paper":null,"slug":"design-and-realization-of-a-benchmarking","title":"Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms","date":"2024-02-14","arxiv_id":"2402.09233","n_code_links":0,"syntology":null},{"paper":null,"slug":"drl-based-orchestration-of-multi-user-miso","title":"DRL-Based Orchestration of Multi-User MISO Systems with Stacked Intelligent Metasurfaces","date":"2024-02-14","arxiv_id":"2402.09006","n_code_links":0,"syntology":null},{"paper":"/paper/dudf-differentiable-unsigned-distance-fields","slug":"dudf-differentiable-unsigned-distance-fields","title":"DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling","date":"2024-02-14","arxiv_id":"2402.08876","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"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) · 2 unverified","official":{"repos":["LIA-DiTella/DiffUDF"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/efficient-one-stage-video-object-detection-by","slug":"efficient-one-stage-video-object-detection-by","title":"Efficient One-stage Video Object Detection by Exploiting Temporal Consistency","date":"2024-02-14","arxiv_id":"2402.09241","n_code_links":1,"syntology":null},{"paper":null,"slug":"fast-window-based-event-denoising-with","title":"Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement","date":"2024-02-14","arxiv_id":"2402.09270","n_code_links":0,"syntology":null},{"paper":null,"slug":"i-can-t-see-it-but-i-can-fine-tune-it-on","title":"I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption","date":"2024-02-14","arxiv_id":"2402.09059","n_code_links":0,"syntology":null},{"paper":null,"slug":"measuring-exploration-in-reinforcement","title":"How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories","date":"2024-02-14","arxiv_id":"2402.09113","n_code_links":0,"syntology":null},{"paper":"/paper/mobilespeech-a-fast-and-high-fidelity","slug":"mobilespeech-a-fast-and-high-fidelity","title":"MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech","date":"2024-02-14","arxiv_id":"2402.09378","n_code_links":0,"syntology":{"ran":10,"of":12,"n_ran_checked":7,"n_instrument":3,"unverified":2,"pointer_only":0,"phrase":"10 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":null,"slug":"momentum-approximation-in-asynchronous","title":"Momentum Approximation in Asynchronous Private Federated Learning","date":"2024-02-14","arxiv_id":"2402.09247","n_code_links":0,"syntology":null},{"paper":null,"slug":"single-reset-divide-conquer-imitation","title":"Single-Reset Divide & Conquer Imitation Learning","date":"2024-02-14","arxiv_id":"2402.09355","n_code_links":0,"syntology":null},{"paper":"/paper/sleb-streamlining-llms-through-redundancy","slug":"sleb-streamlining-llms-through-redundancy","title":"SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks","date":"2024-02-14","arxiv_id":"2402.09025","n_code_links":1,"syntology":{"ran":6,"of":12,"n_ran_checked":3,"n_instrument":3,"unverified":6,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","official":{"repos":["jiwonsong-dev/sleb"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"convolutional-neural-networks-towards-facial","title":"Convolutional Neural Networks Towards Facial Skin Lesions Detection","date":"2024-02-13","arxiv_id":"2402.08592","n_code_links":0,"syntology":null},{"paper":null,"slug":"hje-joint-convolutional-representation","title":"HJE: Joint Convolutional Representation Learning for Knowledge Hypergraph Completion","date":"2024-02-13","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"object-detection-in-thermal-images-using-deep","title":"Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles","date":"2024-02-13","arxiv_id":"2402.08251","n_code_links":0,"syntology":null},{"paper":"/paper/parallel-friendly-spatio-temporal-graph","slug":"parallel-friendly-spatio-temporal-graph","title":"Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale","date":"2024-02-13","arxiv_id":"2402.08470","n_code_links":1,"syntology":null},{"paper":null,"slug":"randomized-algorithms-for-symmetric","title":"Randomized Algorithms for Symmetric Nonnegative Matrix Factorization","date":"2024-02-13","arxiv_id":"2402.08134","n_code_links":0,"syntology":null},{"paper":null,"slug":"thresholding-data-shapley-for-data-cleansing","title":"Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits","date":"2024-02-13","arxiv_id":"2402.08209","n_code_links":0,"syntology":null},{"paper":null,"slug":"advecting-scaffolds-controlling-the","title":"Advecting Scaffolds: Controlling The Remodelling Of Actomyosin With Anillin","date":"2024-02-12","arxiv_id":"2402.07430","n_code_links":0,"syntology":null},{"paper":null,"slug":"clustering-dynamics-for-improved-speed","title":"Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations","date":"2024-02-12","arxiv_id":"2402.07507","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-learning-for-stochastic-1","title":"Machine Learning for Stochastic Parametrisation","date":"2024-02-12","arxiv_id":"2402.09471","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-bayesian-filtering-for-markov-regime","title":"On Bayesian Filtering for Markov Regime Switching Models","date":"2024-02-12","arxiv_id":"2402.08051","n_code_links":0,"syntology":null},{"paper":null,"slug":"potential-based-reward-shaping-for-intrinsic","title":"Potential-Based Reward Shaping For Intrinsic Motivation","date":"2024-02-12","arxiv_id":"2402.07411","n_code_links":0,"syntology":null},{"paper":null,"slug":"tempo-efficient-time-multiplexed-dynamic","title":"TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator","date":"2024-02-12","arxiv_id":"2402.07393","n_code_links":0,"syntology":null},{"paper":null,"slug":"bundling-demand-in-k-12-broadband-procurement","title":"The Benefits from Bundling Demand in K-12 Broadband Procurement","date":"2024-02-11","arxiv_id":"2402.07277","n_code_links":0,"syntology":null},{"paper":"/paper/informativeness-of-reward-functions-in","slug":"informativeness-of-reward-functions-in","title":"Informativeness of Reward Functions in Reinforcement Learning","date":"2024-02-10","arxiv_id":"2402.07019","n_code_links":1,"syntology":null},{"paper":null,"slug":"under-pressure-comparative-statics-for","title":"Comparative Statics for Optimal Stopping Problems in Nonstationary Environments","date":"2024-02-10","arxiv_id":"2402.06999","n_code_links":0,"syntology":null},{"paper":null,"slug":"fd-vision-mamba-for-endoscopic-exposure","title":"FD-Vision Mamba for Endoscopic Exposure Correction","date":"2024-02-09","arxiv_id":"2402.06378","n_code_links":0,"syntology":null},{"paper":null,"slug":"sequential-flow-matching-for-generative","title":"Sequential Flow Straightening for Generative Modeling","date":"2024-02-09","arxiv_id":"2402.06461","n_code_links":0,"syntology":null},{"paper":null,"slug":"3d-2d-neural-nets-for-phase-retrieval-in","title":"3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging","date":"2024-02-08","arxiv_id":"2402.06063","n_code_links":0,"syntology":null},{"paper":"/paper/diffspeaker-speech-driven-3d-facial-animation","slug":"diffspeaker-speech-driven-3d-facial-animation","title":"DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer","date":"2024-02-08","arxiv_id":"2402.05712","n_code_links":1,"syntology":null},{"paper":null,"slug":"efficient-stagewise-pretraining-via","title":"Efficient Stagewise Pretraining via Progressive Subnetworks","date":"2024-02-08","arxiv_id":"2402.05913","n_code_links":0,"syntology":null},{"paper":null,"slug":"game-theoretic-counterfactual-explanation-for","title":"Game-theoretic Counterfactual Explanation for Graph Neural Networks","date":"2024-02-08","arxiv_id":"2402.06030","n_code_links":0,"syntology":null},{"paper":null,"slug":"guided-evolution-with-binary-discriminators","title":"Guided Evolution with Binary Discriminators for ML Program Search","date":"2024-02-08","arxiv_id":"2402.05821","n_code_links":0,"syntology":null},{"paper":null,"slug":"large-language-model-meets-graph-neural","title":"Large Language Model Meets Graph Neural Network in Knowledge Distillation","date":"2024-02-08","arxiv_id":"2402.05894","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-graphics-primitives-based-deformable","title":"Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction","date":"2024-02-08","arxiv_id":"2402.05568","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimizing-delegation-in-collaborative-human","title":"Optimizing Delegation in Collaborative Human-AI Hybrid Teams","date":"2024-02-08","arxiv_id":"2402.05605","n_code_links":0,"syntology":null},{"paper":"/paper/rhizomes-to-load-balance-skewed-in-degree","slug":"rhizomes-to-load-balance-skewed-in-degree","title":"Rhizomes and Diffusions for Processing Highly Skewed Graphs on Fine-Grain Message-Driven Systems","date":"2024-02-08","arxiv_id":"2402.06086","n_code_links":1,"syntology":null},{"paper":null,"slug":"scaling-artificial-intelligence-for-digital","title":"Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making","date":"2024-02-08","arxiv_id":"2402.06075","n_code_links":0,"syntology":null},{"paper":null,"slug":"scaling-intelligent-agents-in-combat","title":"Scaling Intelligent Agents in Combat Simulations for Wargaming","date":"2024-02-08","arxiv_id":"2402.06694","n_code_links":0,"syntology":null},{"paper":null,"slug":"spirdet-towards-efficient-accurate-and","title":"SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector","date":"2024-02-08","arxiv_id":"2402.05410","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-new-method-for-sensorless-estimation-of-the","title":"A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines","date":"2024-02-07","arxiv_id":"2403.18833","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-review-on-digital-pixel-sensors","title":"A Review on Digital Pixel Sensors","date":"2024-02-07","arxiv_id":"2402.04507","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-analysis-of-the-noise-schedule-for-score","title":"An analysis of the noise schedule for score-based generative models","date":"2024-02-07","arxiv_id":"2402.04650","n_code_links":0,"syntology":null},{"paper":null,"slug":"birdnerf-fast-neural-reconstruction-of-large","title":"BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery","date":"2024-02-07","arxiv_id":"2402.04554","n_code_links":0,"syntology":null},{"paper":null,"slug":"gradient-descent-induces-alignment-between","title":"Feature learning as alignment: a structural property of gradient descent in non-linear neural networks","date":"2024-02-07","arxiv_id":"2402.05271","n_code_links":0,"syntology":null},{"paper":"/paper/hydra-sequentially-dependent-draft-heads-for","slug":"hydra-sequentially-dependent-draft-heads-for","title":"Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding","date":"2024-02-07","arxiv_id":"2402.05109","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["zankner/hydra"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/lgm-large-multi-view-gaussian-model-for-high","slug":"lgm-large-multi-view-gaussian-model-for-high","title":"LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation","date":"2024-02-07","arxiv_id":"2402.05054","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"meet-jeanie-a-similarity-measure-for-3d","title":"Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment","date":"2024-02-07","arxiv_id":"2402.04599","n_code_links":0,"syntology":null},{"paper":"/paper/padellm-ner-parallel-decoding-in-large","slug":"padellm-ner-parallel-decoding-in-large","title":"PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition","date":"2024-02-07","arxiv_id":"2402.04838","n_code_links":1,"syntology":null},{"paper":null,"slug":"position-and-speed-control-of-brushless-dc","title":"Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends","date":"2024-02-07","arxiv_id":"2402.05263","n_code_links":0,"syntology":null},{"paper":null,"slug":"face-detection-present-state-and-research","title":"Face Detection: Present State and Research Directions","date":"2024-02-06","arxiv_id":"2402.03796","n_code_links":0,"syntology":null},{"paper":null,"slug":"pedestrian-crossing-decisions-can-be","title":"Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception","date":"2024-02-06","arxiv_id":"2402.04370","n_code_links":0,"syntology":null},{"paper":null,"slug":"pmsm-transient-response-optimization-by-end","title":"PMSM transient response optimization by end-to-end optimal control","date":"2024-02-06","arxiv_id":"2402.03820","n_code_links":0,"syntology":null},{"paper":null,"slug":"anamodiff-2d-analogical-motion-diffusion-via","title":"AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising","date":"2024-02-05","arxiv_id":"2402.03549","n_code_links":0,"syntology":null},{"paper":null,"slug":"ann-based-position-and-speed-sensorless","title":"ANN-based position and speed sensorless estimation for BLDC motors","date":"2024-02-05","arxiv_id":"2402.03534","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-reinforcement-learning-for-picker","title":"Deep Reinforcement Learning for Picker Routing Problem in Warehousing","date":"2024-02-05","arxiv_id":"2402.03525","n_code_links":0,"syntology":null},{"paper":null,"slug":"glocal-hypergradient-estimation-with-koopman","title":"Glocal Hypergradient Estimation with Koopman Operator","date":"2024-02-05","arxiv_id":"2402.02741","n_code_links":0,"syntology":null},{"paper":null,"slug":"houghtoradon-transform-new-neural-network","title":"HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space","date":"2024-02-05","arxiv_id":"2402.02946","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-attention-guided-feature-fusion-network","title":"Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects","date":"2024-02-05","arxiv_id":"2402.02797","n_code_links":0,"syntology":null},{"paper":"/paper/kivi-a-tuning-free-asymmetric-2bit","slug":"kivi-a-tuning-free-asymmetric-2bit","title":"KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache","date":"2024-02-05","arxiv_id":"2402.02750","n_code_links":1,"syntology":{"ran":15,"of":18,"n_ran_checked":12,"n_instrument":3,"unverified":3,"pointer_only":4,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 1 violated, 10 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["jy-yuan/kivi"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"smart-flow-matching-on-the-theory-of-flow","title":"Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications","date":"2024-02-05","arxiv_id":"2402.03232","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-scheduling-for-adaptive-sampling-in","title":"Adaptive scheduling for adaptive sampling in POS taggers construction","date":"2024-02-04","arxiv_id":"2402.02516","n_code_links":0,"syntology":null},{"paper":null,"slug":"nature-inspired-local-propagation","title":"Nature-Inspired Local Propagation","date":"2024-02-04","arxiv_id":"2402.05959","n_code_links":0,"syntology":null},{"paper":"/paper/stereographic-spherical-sliced-wasserstein","slug":"stereographic-spherical-sliced-wasserstein","title":"Stereographic Spherical Sliced Wasserstein Distances","date":"2024-02-04","arxiv_id":"2402.02345","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":2,"n_instrument":3,"unverified":0,"pointer_only":5,"phrase":"5 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; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mint-vu/s3wd"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/break-the-sequential-dependency-of-llm","slug":"break-the-sequential-dependency-of-llm","title":"Break the Sequential Dependency of LLM Inference Using Lookahead Decoding","date":"2024-02-03","arxiv_id":"2402.02057","n_code_links":1,"syntology":null}],"record_sha256":"4e0d00ac844032e4045365afcda9faea010c97f3e8db9b6ce74ce9befb31b928","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}