Split (1)

train · 300k rows

paper_url stringlengths 36 81	paper_title stringlengths 1 242 ⌀	paper_arxiv_id stringlengths 9 16 ⌀	paper_url_abs stringlengths 18 314	paper_url_pdf stringlengths 21 935 ⌀	repo_url stringlengths 26 200	is_official bool 2 classes	mentioned_in_paper bool 2 classes	mentioned_in_github bool 2 classes	framework stringclasses 9 values
https://paperswithcode.com/paper/eclipse-expunging-clean-label-indiscriminate	ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification	2406.15093	https://arxiv.org/abs/2406.15093v2	https://arxiv.org/pdf/2406.15093v2.pdf	https://github.com/cgcl-codes/eclipse	true	true	true	pytorch
https://paperswithcode.com/paper/learning-difference-of-convex-regularizers	Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees	2502.00240	https://arxiv.org/abs/2502.00240v1	https://arxiv.org/pdf/2502.00240v1.pdf	https://github.com/yasminzhang/adcr	true	true	true	pytorch
https://paperswithcode.com/paper/task-aware-kv-compression-for-cost-effective	Task-Aware KV Compression For Cost-Effective Long Video Understanding	2506.21184	https://arxiv.org/abs/2506.21184v1	https://arxiv.org/pdf/2506.21184v1.pdf	https://github.com/unabletousegit/videox22l	true	true	false	pytorch
https://paperswithcode.com/paper/computing-the-generalized-plasma-dispersion	Computing the generalized plasma dispersion function for non-Maxwellian plasmas, with applications to Thomson scattering	2502.01811	https://arxiv.org/abs/2502.01811v1	https://arxiv.org/pdf/2502.01811v1.pdf	https://github.com/crskolar/arbgenplasmadisp	true	true	false	none
https://paperswithcode.com/paper/privacy-preserving-federated-learning-in	Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation	2406.12815	https://arxiv.org/abs/2406.12815v1	https://arxiv.org/pdf/2406.12815v1.pdf	https://github.com/niko-k98/awesome-list-federated-learning-review	true	true	false	none
https://paperswithcode.com/paper/generative-pretrained-hierarchical	Generative Pretrained Hierarchical Transformer for Time Series Forecasting	2402.16516	https://arxiv.org/abs/2402.16516v2	https://arxiv.org/pdf/2402.16516v2.pdf	https://github.com/icantnamemyself/gpht	true	true	false	pytorch
https://paperswithcode.com/paper/case-enhanced-vision-transformer-improving	Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric	2407.16981	https://arxiv.org/abs/2407.16981v1	https://arxiv.org/pdf/2407.16981v1.pdf	https://github.com/ziweizhao1993/cevit	true	true	false	pytorch
https://paperswithcode.com/paper/rcnet-deep-recurrent-collaborative-network	RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement	2409.04363	https://arxiv.org/abs/2409.04363v1	https://arxiv.org/pdf/2409.04363v1.pdf	https://github.com/hluo29/rcnet	true	true	false	pytorch
https://paperswithcode.com/paper/the-browsergym-ecosystem-for-web-agent	The BrowserGym Ecosystem for Web Agent Research	2412.05467	https://arxiv.org/abs/2412.05467v4	https://arxiv.org/pdf/2412.05467v4.pdf	https://github.com/servicenow/agentlab	true	true	true	pytorch
https://paperswithcode.com/paper/faithful-density-peaks-clustering-via-matrix	Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System	2406.12297	https://arxiv.org/abs/2406.12297v1	https://arxiv.org/pdf/2406.12297v1.pdf	https://github.com/alanxuji/faithpdp	true	true	false	none
https://paperswithcode.com/paper/automated-mri-quality-assessment-of-brain-t1	Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation	2406.12448	https://arxiv.org/abs/2406.12448v1	https://arxiv.org/pdf/2406.12448v1.pdf	https://github.com/aramis-lab/clinicadl	true	true	false	pytorch
https://paperswithcode.com/paper/discovering-minimal-reinforcement-learning	Discovering Minimal Reinforcement Learning Environments	2406.12589	https://arxiv.org/abs/2406.12589v1	https://arxiv.org/pdf/2406.12589v1.pdf	https://github.com/keraJLi/synthetic-gymnax	true	true	true	jax
https://paperswithcode.com/paper/balancing-embedding-spectrum-for	Balancing Embedding Spectrum for Recommendation	2406.12032	https://arxiv.org/abs/2406.12032v1	https://arxiv.org/pdf/2406.12032v1.pdf	https://github.com/tanatosuu/directspec	true	false	false	pytorch
https://paperswithcode.com/paper/gslb-the-graph-structure-learning-benchmark-1	GSLB: The Graph Structure Learning Benchmark	2310.05174	https://arxiv.org/abs/2310.05174v1	https://arxiv.org/pdf/2310.05174v1.pdf	https://github.com/gsl-benchmark/gslb	true	true	false	pytorch
https://paperswithcode.com/paper/hilti-oxford-dataset-a-millimetre-accurate	Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping	2208.09825	https://arxiv.org/abs/2208.09825v3	https://arxiv.org/pdf/2208.09825v3.pdf	https://github.com/hilti-research/hilti-slam-challenge-2022	true	true	false	none
https://paperswithcode.com/paper/a-second-order-like-optimizer-with-adaptive	A second-order-like optimizer with adaptive gradient scaling for deep learning	2410.05871	https://arxiv.org/abs/2410.05871v2	https://arxiv.org/pdf/2410.05871v2.pdf	https://github.com/innaprop/innaprop	true	true	false	pytorch
https://paperswithcode.com/paper/adapting-promptore-for-modern-history	Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century	2406.00027	https://arxiv.org/abs/2406.00027v1	https://arxiv.org/pdf/2406.00027v1.pdf	https://github.com/Hector1993prog/Spanish_PromptORE	true	false	false	pytorch
https://paperswithcode.com/paper/high-throughput-phenotyping-using-computer	High-Throughput Phenotyping using Computer Vision and Machine Learning	2407.06354	https://arxiv.org/abs/2407.06354v2	https://arxiv.org/pdf/2407.06354v2.pdf	https://github.com/vivaansinghvi07/smoky-mountain-data-comp	true	true	false	pytorch
https://paperswithcode.com/paper/advancing-continual-lifelong-learning-in	Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation	2308.08378	https://arxiv.org/abs/2308.08378v2	https://arxiv.org/pdf/2308.08378v2.pdf	https://github.com/jingruihou/clnir	true	true	true	pytorch
https://paperswithcode.com/paper/neural-concept-binder	Neural Concept Binder	2406.09949	https://arxiv.org/abs/2406.09949v2	https://arxiv.org/pdf/2406.09949v2.pdf	https://github.com/ml-research/neuralconceptbinder	true	true	true	pytorch
https://paperswithcode.com/paper/deeptreegan-fast-generation-of-high	DeepTreeGAN: Fast Generation of High Dimensional Point Clouds	2311.12616	https://arxiv.org/abs/2311.12616v1	https://arxiv.org/pdf/2311.12616v1.pdf	https://github.com/degesim/nips23deeptreeganv2	false	false	true	pytorch
https://paperswithcode.com/paper/spach-transformer-spatial-and-channel-wise	Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising	2209.03300	https://arxiv.org/abs/2209.03300v2	https://arxiv.org/pdf/2209.03300v2.pdf	https://github.com/sijang/spachtransformer	true	true	true	pytorch
https://paperswithcode.com/paper/self-interacting-neutrinos-in-light-of-recent	Self-interacting neutrinos in light of recent CMB and LSS data	2503.10485	https://arxiv.org/abs/2503.10485v1	https://arxiv.org/pdf/2503.10485v1.pdf	https://github.com/PoulinV/class_interacting_neutrinos	true	true	false	none
https://paperswithcode.com/paper/glad-global-local-view-alignment-and	GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain Gap	2311.12467	https://arxiv.org/abs/2311.12467v2	https://arxiv.org/pdf/2311.12467v2.pdf	https://github.com/khu-vll/glad	true	true	true	pytorch
https://paperswithcode.com/paper/microflow-an-efficient-rust-based-inference	MicroFlow: An Efficient Rust-Based Inference Engine for TinyML	2409.19432	https://arxiv.org/abs/2409.19432v3	https://arxiv.org/pdf/2409.19432v3.pdf	https://github.com/matteocarnelos/microflow-rs	true	true	true	tf
https://paperswithcode.com/paper/discovering-local-hidden-variable-models-for	Discovering Local Hidden-Variable Models for Arbitrary Multipartite Entangled States and Arbitrary Measurements	2407.04673	https://arxiv.org/abs/2407.04673v1	https://arxiv.org/pdf/2407.04673v1.pdf	https://github.com/nick-von-selzam/autolhvs	true	true	true	jax
https://paperswithcode.com/paper/deep-residual-fourier-transformation-for	Intriguing Findings of Frequency Selection for Image Deblurring	2111.11745	https://arxiv.org/abs/2111.11745v2	https://arxiv.org/pdf/2111.11745v2.pdf	https://github.com/INVOKERer/AdaRevD	false	false	true	pytorch
https://paperswithcode.com/paper/more-variable-circadian-rhythms-in-epilepsy-a	More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors	2411.04634	https://arxiv.org/abs/2411.04634v4	https://arxiv.org/pdf/2411.04634v4.pdf	https://github.com/cnnp-lab/2024_billy_intra-individual_variability_circadian	true	true	false	none
https://paperswithcode.com/paper/proximal-policy-optimization-algorithms	Proximal Policy Optimization Algorithms	1707.06347	http://arxiv.org/abs/1707.06347v2	http://arxiv.org/pdf/1707.06347v2.pdf	https://github.com/intellisys-lab/stellaris-sc24	false	false	true	none
https://paperswithcode.com/paper/acceleration-via-perturbations-on-low	Acceleration via Perturbations on Low-resolution Ordinary Differential Equations	2504.01497	https://arxiv.org/abs/2504.01497v1	https://arxiv.org/pdf/2504.01497v1.pdf	https://github.com/smq1918/codes-for-Acceleration-via-Perturbations-on-Low-resolution-Ordinary-Differential-Equations-	true	false	false	none
https://paperswithcode.com/paper/learning-load-balancing-with-gnn-in-mptcp	Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks	2410.17118	https://arxiv.org/abs/2410.17118v1	https://arxiv.org/pdf/2410.17118v1.pdf	https://github.com/hanji-ucd/gnn-hetnet	true	true	false	pytorch
https://paperswithcode.com/paper/room-impulse-response-as-a-prompt-for	Room Impulse Response as a Prompt for Acoustic Echo Cancellation	2505.19480	https://arxiv.org/abs/2505.19480v1	https://arxiv.org/pdf/2505.19480v1.pdf	https://github.com/zhaof-i/rir-prompt-aec	true	true	true	pytorch
https://paperswithcode.com/paper/top-k-representative-search-for-comparative	Top-k Representative Search for Comparative Tree Summarization	2407.14098	https://arxiv.org/abs/2407.14098v1	https://arxiv.org/pdf/2407.14098v1.pdf	https://github.com/csyqchen/TKDE_SVDT	true	false	false	none
https://paperswithcode.com/paper/neca-3d-coronary-artery-tree-reconstruction	NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation	2409.04596	https://arxiv.org/abs/2409.04596v2	https://arxiv.org/pdf/2409.04596v2.pdf	https://github.com/WangStephen/NeCA	true	false	true	pytorch
https://paperswithcode.com/paper/vanp-learning-where-to-see-for-navigation	VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training	2403.08109	https://arxiv.org/abs/2403.08109v3	https://arxiv.org/pdf/2403.08109v3.pdf	https://github.com/mhnazeri/vanp	true	true	true	pytorch
https://paperswithcode.com/paper/vuldetectbench-evaluating-the-deep-capability	VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models	2406.07595	https://arxiv.org/abs/2406.07595v4	https://arxiv.org/pdf/2406.07595v4.pdf	https://github.com/sweetaroo/vuldetectbench	true	true	true	none
https://paperswithcode.com/paper/masterweaver-taming-editability-and-identity	MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation	2405.05806	https://arxiv.org/abs/2405.05806v3	https://arxiv.org/pdf/2405.05806v3.pdf	https://github.com/csyxwei/masterweaver	true	true	true	pytorch
https://paperswithcode.com/paper/enhancing-content-based-recommendation-via	Enhancing Content-based Recommendation via Large Language Model	2404.00236	https://arxiv.org/abs/2404.00236v2	https://arxiv.org/pdf/2404.00236v2.pdf	https://github.com/cjx96/loid	true	true	false	pytorch
https://paperswithcode.com/paper/repurposing-diffusion-based-image-generators	Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation	2312.02145	https://arxiv.org/abs/2312.02145v2	https://arxiv.org/pdf/2312.02145v2.pdf	https://github.com/Magicboomliu/Accelerator-Simple-Template	false	false	true	pytorch
https://paperswithcode.com/paper/procedurally-optimised-zx-diagram-cutting-for	Procedurally Optimised ZX-Diagram Cutting for Efficient T-Decomposition in Classical Simulation	2403.10964	https://arxiv.org/abs/2403.10964v2	https://arxiv.org/pdf/2403.10964v2.pdf	https://github.com/mjsutcliffe99/procoptcut	true	true	true	none
https://paperswithcode.com/paper/lumen-unleashing-versatile-vision-centric	Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models	2403.07304	https://arxiv.org/abs/2403.07304v2	https://arxiv.org/pdf/2403.07304v2.pdf	https://github.com/sxjyjay/lumen	true	true	true	none
https://paperswithcode.com/paper/improving-3d-medical-image-segmentation-at	Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing	2410.15360	https://arxiv.org/abs/2410.15360v1	https://arxiv.org/pdf/2410.15360v1.pdf	https://github.com/Daniyanaj/vMixer	true	false	true	pytorch
https://paperswithcode.com/paper/perceptions-to-beliefs-exploring-precursory	Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models	2407.06004	https://arxiv.org/abs/2407.06004v3	https://arxiv.org/pdf/2407.06004v3.pdf	https://github.com/chanijung/PercepToM	true	false	false	pytorch
https://paperswithcode.com/paper/causal-guided-active-learning-for-debiasing	Causal-Guided Active Learning for Debiasing Large Language Models	2408.12942	https://arxiv.org/abs/2408.12942v2	https://arxiv.org/pdf/2408.12942v2.pdf	https://github.com/spirit-moon-fly/CAL	true	false	false	none
https://paperswithcode.com/paper/varif-ai-to-vary-and-verify-user-driven	Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation	2506.19644	https://arxiv.org/abs/2506.19644v1	https://arxiv.org/pdf/2506.19644v1.pdf	https://github.com/mario-michelessa/varifai	true	true	false	pytorch
https://paperswithcode.com/paper/medsam2-segment-anything-in-3d-medical-images	MedSAM2: Segment Anything in 3D Medical Images and Videos	2504.03600	https://arxiv.org/abs/2504.03600v1	https://arxiv.org/pdf/2504.03600v1.pdf	https://github.com/bowang-lab/medsam2	true	true	true	pytorch
https://paperswithcode.com/paper/dcnv3-towards-next-generation-deep-cross	FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction	2407.13349	https://arxiv.org/abs/2407.13349v7	https://arxiv.org/pdf/2407.13349v7.pdf	https://github.com/reczoo/FuxiCTR	true	false	true	pytorch
https://paperswithcode.com/paper/deep-interest-evolution-network-for-click	Deep Interest Evolution Network for Click-Through Rate Prediction	1809.03672	http://arxiv.org/abs/1809.03672v5	http://arxiv.org/pdf/1809.03672v5.pdf	https://github.com/reczoo/FuxiCTR	false	false	true	pytorch
https://paperswithcode.com/paper/2408-01391	FT K-means: A High-Performance K-means on GPU with Fault Tolerance	2408.01391	https://arxiv.org/abs/2408.01391v2	https://arxiv.org/pdf/2408.01391v2.pdf	https://github.com/shixun404/FT_KMeans	true	false	false	none
https://paperswithcode.com/paper/att2cpc-attention-guided-lossy-attribute	Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds	2410.17823	https://arxiv.org/abs/2410.17823v1	https://arxiv.org/pdf/2410.17823v1.pdf	https://github.com/i2-multimedia-lab/att2cpc	true	true	false	pytorch
https://paperswithcode.com/paper/soft-prompts-go-hard-steering-visual-language	Self-interpreting Adversarial Images	2407.08970	https://arxiv.org/abs/2407.08970v4	https://arxiv.org/pdf/2407.08970v4.pdf	https://github.com/tingwei-zhang/soft-prompts-go-hard	true	true	true	pytorch
https://paperswithcode.com/paper/nuplanqa-a-large-scale-dataset-and-benchmark	NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models	2503.12772	https://arxiv.org/abs/2503.12772v1	https://arxiv.org/pdf/2503.12772v1.pdf	https://github.com/sungyeonparkk/nuplanqa	true	true	true	none
https://paperswithcode.com/paper/p-862-2-wideband-extension-to-recommendation	P.862.2 : Wideband extension to Recommendation P.862 for the assessment of wideband telephone networks and speech codecs	null	https://www.itu.int/rec/T-REC-P.862.2-200711-W/en	https://www.itu.int/rec/T-REC-P.862.2-200711-W/en	https://github.com/ludlows/pesq	false	false	false	none
https://paperswithcode.com/paper/scalable-offline-reinforcement-learning-for	Scalable Offline Reinforcement Learning for Mean Field Games	2410.17898	https://arxiv.org/abs/2410.17898v1	https://arxiv.org/pdf/2410.17898v1.pdf	https://github.com/axelbr/offline-mmd	true	false	true	jax
https://paperswithcode.com/paper/cycle-configuration-a-novel-graph-theoretic	Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference	2408.05136	https://arxiv.org/abs/2408.05136v1	https://arxiv.org/pdf/2408.05136v1.pdf	https://github.com/ku-dml/mol-infer	true	true	true	none
https://paperswithcode.com/paper/recprompt-a-prompt-tuning-framework-for-news	RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models	2312.10463	https://arxiv.org/abs/2312.10463v4	https://arxiv.org/pdf/2312.10463v4.pdf	https://github.com/ruixinhua/rec-prompt	true	true	false	none
https://paperswithcode.com/paper/nulite-lightweight-and-fast-model-for-nuclei	NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification	2408.01797	https://arxiv.org/abs/2408.01797v2	https://arxiv.org/pdf/2408.01797v2.pdf	https://github.com/cosmoiknoslab/nulite	true	true	false	pytorch
https://paperswithcode.com/paper/modes-of-the-kerr-geometry-with-purely	Modes of the Kerr geometry with purely imaginary frequencies	1607.07406	http://arxiv.org/abs/1607.07406v1	http://arxiv.org/pdf/1607.07406v1.pdf	https://github.com/eliotfinch/qnmfits	false	false	true	none
https://paperswithcode.com/paper/black-hole-cartography	Black-Hole Cartography	2410.13935	https://arxiv.org/abs/2410.13935v2	https://arxiv.org/pdf/2410.13935v2.pdf	https://github.com/eliotfinch/qnmfits	true	true	true	none
https://paperswithcode.com/paper/high-overtone-fits-to-numerical-relativity	High-overtone fits to numerical relativity ringdowns: beyond the dismissed n=8 special tone	2107.11829	https://arxiv.org/abs/2107.11829v2	https://arxiv.org/pdf/2107.11829v2.pdf	https://github.com/eliotfinch/qnmfits	false	false	true	none
https://paperswithcode.com/paper/tinychirp-bird-song-recognition-using-tinyml	TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors	2407.21453	https://arxiv.org/abs/2407.21453v2	https://arxiv.org/pdf/2407.21453v2.pdf	https://github.com/TinyPART/TinyBirdSounds	true	false	true	pytorch
https://paperswithcode.com/paper/emid-an-emotional-aligned-dataset-in-audio	EMID: An Emotional Aligned Dataset in Audio-Visual Modality	2308.07622	https://arxiv.org/abs/2308.07622v2	https://arxiv.org/pdf/2308.07622v2.pdf	https://github.com/ecnu-aigc/emid	true	true	true	none
https://paperswithcode.com/paper/brainfounder-towards-brain-foundation-models	BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation	2406.10395	https://arxiv.org/abs/2406.10395v3	https://arxiv.org/pdf/2406.10395v3.pdf	https://github.com/lab-smile/brainsegfounder	true	true	true	pytorch
https://paperswithcode.com/paper/adaptive-tempered-reversible-jump-algorithm	Adaptive tempered reversible jump algorithm for Bayesian curve fitting	2402.08844	https://arxiv.org/abs/2402.08844v2	https://arxiv.org/pdf/2402.08844v2.pdf	https://github.com/Zhiyao-code/AP-PT-RJMCMC_MATLAB	false	false	true	none
https://paperswithcode.com/paper/the-yin-yang-dataset	The Yin-Yang dataset	2102.08211	https://arxiv.org/abs/2102.08211v2	https://arxiv.org/pdf/2102.08211v2.pdf	https://github.com/lkriener/yin_yang_data_set	true	true	true	pytorch
https://paperswithcode.com/paper/informer-beyond-efficient-transformer-for	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	2012.07436	https://arxiv.org/abs/2012.07436v3	https://arxiv.org/pdf/2012.07436v3.pdf	https://github.com/MindCode-4/code-10/tree/main/CS-F-LTR	false	false	false	mindspore
https://paperswithcode.com/paper/salsa-swift-adaptive-lightweight-self	SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition	2407.08260	https://arxiv.org/abs/2407.08260v2	https://arxiv.org/pdf/2407.08260v2.pdf	https://github.com/raktimgg/salsa	true	true	true	pytorch
https://paperswithcode.com/paper/fast-and-deep-neuromorphic-learning-with-time	Fast and energy-efficient neuromorphic deep learning with first-spike times	1912.11443	https://arxiv.org/abs/1912.11443v4	https://arxiv.org/pdf/1912.11443v4.pdf	https://github.com/lkriener/yin_yang_data_set	true	true	true	pytorch
https://paperswithcode.com/paper/vae-with-a-vampprior	VAE with a VampPrior	1705.07120	http://arxiv.org/abs/1705.07120v5	http://arxiv.org/pdf/1705.07120v5.pdf	https://github.com/MindSpore-scientific/code-10/tree/main/VAE-Creative-Discovery-using-QD-Search	false	false	false	mindspore
https://paperswithcode.com/paper/on-the-proof-of-posterior-contraction-for	Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors	2201.12839	https://arxiv.org/abs/2201.12839v8	https://arxiv.org/pdf/2201.12839v8.pdf	https://github.com/raybai07/mtmbsp	true	true	true	none
https://paperswithcode.com/paper/improving-text-guided-object-inpainting-with	Improving Text-guided Object Inpainting with Semantic Pre-inpainting	2409.08260	https://arxiv.org/abs/2409.08260v1	https://arxiv.org/pdf/2409.08260v1.pdf	https://github.com/nnn-s/catdiffusion	true	true	false	pytorch
https://paperswithcode.com/paper/2408-03010	Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs	2408.03010	https://arxiv.org/abs/2408.03010v1	https://arxiv.org/pdf/2408.03010v1.pdf	https://github.com/chrschy/fact-finder	true	false	false	none
https://paperswithcode.com/paper/graph-gospa-metric-a-metric-to-measure-the	Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes	2311.07596	https://arxiv.org/abs/2311.07596v2	https://arxiv.org/pdf/2311.07596v2.pdf	https://github.com/jinhaogu/the-graph-gospa-metric	true	true	true	none
https://paperswithcode.com/paper/super-tiny-language-models	Super Tiny Language Models	2405.14159	https://arxiv.org/abs/2405.14159v2	https://arxiv.org/pdf/2405.14159v2.pdf	https://github.com/leonguertler/supertinylanguagemodels	false	false	true	pytorch
https://paperswithcode.com/paper/umap-uniform-manifold-approximation-and	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	1802.03426	https://arxiv.org/abs/1802.03426v3	https://arxiv.org/pdf/1802.03426v3.pdf	https://github.com/turhancan97/Methods-of-Clustering-Single-Cell-RNA-Sequencing-Data	false	false	true	none
https://paperswithcode.com/paper/envisioning-beyond-the-pixels-benchmarking	Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing	2504.02826	https://arxiv.org/abs/2504.02826v1	https://arxiv.org/pdf/2504.02826v1.pdf	https://github.com/phoenixz810/risebench	true	true	true	none
https://paperswithcode.com/paper/synthetic-high-resolution-cryo-em-density	Struc2mapGAN: improving synthetic cryo-EM density maps with generative adversarial networks	2407.17674	https://arxiv.org/abs/2407.17674v2	https://arxiv.org/pdf/2407.17674v2.pdf	https://github.com/chenwei-zhang/struc2mapgan	true	true	true	pytorch
https://paperswithcode.com/paper/rhle-relational-reasoning-for-existential	RHLE: Modular Deductive Verification of Relational $\forall\exists$ Properties	2002.02904	https://arxiv.org/abs/2002.02904v5	https://arxiv.org/pdf/2002.02904v5.pdf	https://github.com/rcdickerson/rhle-benchmarks	true	true	true	none
https://paperswithcode.com/paper/efficient-mapping-of-phase-diagrams-with	Efficient mapping of phase diagrams with conditional Boltzmann Generators	2406.12378	https://arxiv.org/abs/2406.12378v2	https://arxiv.org/pdf/2406.12378v2.pdf	https://github.com/maxschebek/flow_diagrams	true	true	true	jax
https://paperswithcode.com/paper/improving-neural-question-generation-using	Improving Neural Question Generation using Answer Separation	1809.02393	http://arxiv.org/abs/1809.02393v2	http://arxiv.org/pdf/1809.02393v2.pdf	https://github.com/yanghoonkim/neural_question_generation	true	false	false	tf
https://paperswithcode.com/paper/enhancing-human-learning-via-spaced	Enhancing human learning via spaced repetition optimization	null	https://www.pnas.org/doi/10.1073/pnas.1815156116	https://www.pnas.org/doi/epdf/10.1073/pnas.1815156116	https://github.com/Networks-Learning/memorize	false	false	false	none
https://paperswithcode.com/paper/exploring-multiple-strategies-to-improve	Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD	2408.16893	https://arxiv.org/abs/2408.16893v3	https://arxiv.org/pdf/2408.16893v3.pdf	https://github.com/ondfa/coref-multiling	true	true	false	pytorch
https://paperswithcode.com/paper/when-to-extract-reid-features-a-selective	When to Extract ReID Features: A Selective Approach for Improved Multiple Object Tracking	2409.06617	https://arxiv.org/abs/2409.06617v2	https://arxiv.org/pdf/2409.06617v2.pdf	https://github.com/emirhanbayar/fast-strongsort	true	true	true	pytorch
https://paperswithcode.com/paper/vector-quantization-prompting-for-continual	Vector Quantization Prompting for Continual Learning	2410.20444	https://arxiv.org/abs/2410.20444v1	https://arxiv.org/pdf/2410.20444v1.pdf	https://github.com/jiaolifengmi/vq-prompt	true	true	false	pytorch
https://paperswithcode.com/paper/on-kemeny-s-constant-and-stochastic	On Kemeny's constant and stochastic complement	2312.13201	https://arxiv.org/abs/2312.13201v2	https://arxiv.org/pdf/2312.13201v2.pdf	https://github.com/Cirdans-Home/Kemeny-and-Conquer	true	true	true	none
https://paperswithcode.com/paper/an-etsi-gs-qkd-compliant-tls-implementation	An ETSI GS QKD compliant TLS implementation	2506.19409	https://arxiv.org/abs/2506.19409v1	https://arxiv.org/pdf/2506.19409v1.pdf	https://github.com/thomasarmel/qkd_kme_server	true	true	false	none
https://paperswithcode.com/paper/integrating-graph-neural-networks-and-many	Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces	2411.01578	https://arxiv.org/abs/2411.01578v1	https://arxiv.org/pdf/2411.01578v1.pdf	https://github.com/Lin-Group-at-UMass/FBGNN-MBE	true	true	true	pytorch
https://paperswithcode.com/paper/optimal-regret-is-achievable-with-bounded-1	Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework	2201.12955	https://arxiv.org/abs/2201.12955v4	https://arxiv.org/pdf/2201.12955v4.pdf	https://github.com/hz0000/ebucb	true	true	true	none
https://paperswithcode.com/paper/understanding-user-mental-models-in-ai-driven	Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study	2502.02194	https://arxiv.org/abs/2502.02194v1	https://arxiv.org/pdf/2502.02194v1.pdf	https://github.com/ivu-laboratory/athena	true	true	false	none
https://paperswithcode.com/paper/tnddr-efficient-and-doubly-robust-estimation	A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data	2310.04578	https://arxiv.org/abs/2310.04578v2	https://arxiv.org/pdf/2310.04578v2.pdf	https://github.com/congjiang/tnddr	true	true	true	none
https://paperswithcode.com/paper/analysis-of-centrifugal-clutches-in-two-speed	Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction	2409.09755	https://arxiv.org/abs/2409.09755v2	https://arxiv.org/pdf/2409.09755v2.pdf	https://github.com/bokiiiiiii/Analysis-of-Centrifugal-Clutches-in-Automatic-Transmissions-with-Deep-Learning-Engagement-Prediction	true	false	true	none
https://paperswithcode.com/paper/bge-m3-embedding-multi-lingual-multi	BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation	2402.03216	https://arxiv.org/abs/2402.03216v4	https://arxiv.org/pdf/2402.03216v4.pdf	https://github.com/flagopen/flagembedding	true	true	true	pytorch
https://paperswithcode.com/paper/on-the-classification-of-smooth-fano-weighted	The classification of smooth well-formed Fano weighted complete intersections	2006.05666	https://arxiv.org/abs/2006.05666v5	https://arxiv.org/pdf/2006.05666v5.pdf	https://github.com/MikhailOvcharenko/fano-WCI	true	true	true	none
https://paperswithcode.com/paper/egvd-event-guided-video-deraining	EGVD: Event-Guided Video Deraining	2309.17239	https://arxiv.org/abs/2309.17239v1	https://arxiv.org/pdf/2309.17239v1.pdf	https://github.com/booker-max/egvd	true	true	true	pytorch
https://paperswithcode.com/paper/revisiting-english-winogender-schemas-for	WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case	2409.05653	https://arxiv.org/abs/2409.05653v3	https://arxiv.org/pdf/2409.05653v3.pdf	https://github.com/uds-lsv/winopron	true	true	false	none
https://paperswithcode.com/paper/fast-algorithms-to-improve-fair-information	Fast algorithms to improve fair information access in networks	2409.03127	https://arxiv.org/abs/2409.03127v2	https://arxiv.org/pdf/2409.03127v2.pdf	https://github.com/rhythmthief/FairnessNetworks	true	false	false	none
https://paperswithcode.com/paper/an-efficient-framework-based-on-large	An efficient framework based on large foundation model for cervical cytopathology whole slide image screening	2407.11486	https://arxiv.org/abs/2407.11486v1	https://arxiv.org/pdf/2407.11486v1.pdf	https://github.com/cviu-csu/tct-infonce	true	true	true	pytorch
https://paperswithcode.com/paper/vexir2vec-an-architecture-neutral-embedding	VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity	2312.00507	https://arxiv.org/abs/2312.00507v2	https://arxiv.org/pdf/2312.00507v2.pdf	https://github.com/systemsecuritystorm/awesome-binary-similarity	true	true	true	none
https://paperswithcode.com/paper/smile-leveraging-submodular-mutual	SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection	2407.02665	https://arxiv.org/abs/2407.02665v2	https://arxiv.org/pdf/2407.02665v2.pdf	https://github.com/amajee11us/smile-fsod	true	true	false	pytorch
https://paperswithcode.com/paper/bayesian-parameter-efficient-fine-tuning-for	Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting	2402.12220	https://arxiv.org/abs/2402.12220v3	https://arxiv.org/pdf/2402.12220v3.pdf	https://github.com/idiap/bayesian-peft	true	true	true	pytorch

Subsets and Splits

Framework Repo Connectivity Analysis

Reveals the number of official and unofficial repositories and papers associated with different frameworks, highlighting the most connected ones.

Deduplicated Paper-Code Links

This query provides a detailed and organized list of repositories linked to single papers, highlighting official status and mention sources, which is useful for understanding the relationship between papers and their corresponding repositories.

Paper Repo Counts & Distribution

Provides detailed statistics on the distribution of papers across different numbers of repositories, highlighting the percentage of papers with multiple repositories.

Quantum Papers with Code Links

Lists quantum-related papers with their titles, arXiv IDs, frameworks, and code repository links, providing a valuable resource for researchers interested in quantum computing.

Financial Stock Price Prediction

Finds papers related to stock prices, financial markets, and predictions, providing a focused subset for further analysis.

SQL Console for pwc-archive/links-between-paper-and-code

Retrieves specific details about a single paper by its arXiv ID, providing limited insight into the dataset.

Search for YOLO Links

Retrieves a limited set of records related to YOLO, providing basic information about papers and repositories but without deeper analysis.

Prompt Optimization and Personalization

Retrieves a limited set of papers with titles containing specific keywords related to prompt optimization and personalization, providing basic filtering of the dataset.