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/second-order-differential-operators	Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds	2406.02879	https://arxiv.org/abs/2406.02879v1	https://arxiv.org/pdf/2406.02879v1.pdf	https://github.com/dnguyend/jax-rb	true	true	true	jax
https://paperswithcode.com/paper/exploring-the-efficacy-of-a-hybrid-approach	Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models	2404.17884	https://arxiv.org/abs/2404.17884v4	https://arxiv.org/pdf/2404.17884v4.pdf	https://github.com/rabadiah/generalization-capabilities-and-robustness-of-hybrid-machine-learning-models	true	true	false	none
https://paperswithcode.com/paper/translating-text-synopses-to-video	TeViS:Translating Text Synopses to Video Storyboards	2301.00135	https://arxiv.org/abs/2301.00135v4	https://arxiv.org/pdf/2301.00135v4.pdf	https://github.com/guxu313/TeViS	true	false	true	pytorch
https://paperswithcode.com/paper/sltrain-a-sparse-plus-low-rank-approach-for	SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining	2406.02214	https://arxiv.org/abs/2406.02214v2	https://arxiv.org/pdf/2406.02214v2.pdf	https://github.com/andyjm3/SLTrain	true	true	true	pytorch
https://paperswithcode.com/paper/gptq-accurate-post-training-quantization-for	GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers	2210.17323	https://arxiv.org/abs/2210.17323v2	https://arxiv.org/pdf/2210.17323v2.pdf	https://github.com/microsoft/bitblas	false	false	true	pytorch
https://paperswithcode.com/paper/learning-to-cache-accelerating-diffusion	Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching	2406.01733	https://arxiv.org/abs/2406.01733v2	https://arxiv.org/pdf/2406.01733v2.pdf	https://github.com/horseee/learning-to-cache	true	true	true	pytorch
https://paperswithcode.com/paper/conformal-language-modeling	Conformal Language Modeling	2306.10193	https://arxiv.org/abs/2306.10193v2	https://arxiv.org/pdf/2306.10193v2.pdf	https://github.com/varal7/conformal-language-modeling	true	true	true	pytorch
https://paperswithcode.com/paper/mimic-minimally-modified-counterfactuals-in	Representation Surgery: Theory and Practice of Affine Steering	2402.09631	https://arxiv.org/abs/2402.09631v7	https://arxiv.org/pdf/2402.09631v7.pdf	https://github.com/shauli-ravfogel/affine-steering	true	true	true	pytorch
https://paperswithcode.com/paper/kornia-an-open-source-differentiable-computer	Kornia: an Open Source Differentiable Computer Vision Library for PyTorch	1910.02190	https://arxiv.org/abs/1910.02190v2	https://arxiv.org/pdf/1910.02190v2.pdf	https://github.com/arraiyopensource/torchgeometry	false	false	true	pytorch
https://paperswithcode.com/paper/exploring-the-effectiveness-and-consistency	Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning	2407.16245	https://arxiv.org/abs/2407.16245v1	https://arxiv.org/pdf/2407.16245v1.pdf	https://github.com/uds-lsv/intermediate-task-selection	true	false	false	pytorch
https://paperswithcode.com/paper/apery-sets-and-the-ideal-class-monoid-of-a	Apéry sets and the ideal class monoid of a numerical semigroup	2302.09647	https://arxiv.org/abs/2302.09647v2	https://arxiv.org/pdf/2302.09647v2.pdf	https://github.com/numerical-semigroups/ideal-class-monoid	true	true	true	none
https://paperswithcode.com/paper/texhoi-reconstructing-textures-of-3d-unknown	TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes	2501.03525	https://arxiv.org/abs/2501.03525v1	https://arxiv.org/pdf/2501.03525v1.pdf	https://github.com/alakhag/texhoi	true	true	false	pytorch
https://paperswithcode.com/paper/cute-measuring-llms-understanding-of-their	CUTE: Measuring LLMs' Understanding of Their Tokens	2409.15452	https://arxiv.org/abs/2409.15452v2	https://arxiv.org/pdf/2409.15452v2.pdf	https://github.com/leukas/cute	true	true	true	pytorch
https://paperswithcode.com/paper/deep-learning-the-slow-modes-for-rare-events	Deep learning the slow modes for rare events sampling	2107.03943	https://arxiv.org/abs/2107.03943v2	https://arxiv.org/pdf/2107.03943v2.pdf	https://github.com/luigibonati/deep-learning-slow-modes-data	true	false	true	pytorch
https://paperswithcode.com/paper/logicol-logically-informed-contrastive	LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval	2505.19588	https://arxiv.org/abs/2505.19588v1	https://arxiv.org/pdf/2505.19588v1.pdf	https://github.com/yanzhen4/logicol	true	true	true	pytorch
https://paperswithcode.com/paper/palantir-towards-efficient-super-resolution	Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming	2408.06152	https://arxiv.org/abs/2408.06152v2	https://arxiv.org/pdf/2408.06152v2.pdf	https://github.com/Palantir-SR/palantir	true	false	true	tf
https://paperswithcode.com/paper/distributed-quantum-logic-algorithm	Distributed quantum logic algorithm	2411.11979	https://arxiv.org/abs/2411.11979v1	https://arxiv.org/pdf/2411.11979v1.pdf	https://github.com/barseniev/dql_algorithm	true	true	false	none
https://paperswithcode.com/paper/llcaps-learning-to-illuminate-low-light	LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion	2307.02452	https://arxiv.org/abs/2307.02452v2	https://arxiv.org/pdf/2307.02452v2.pdf	https://github.com/longbai1006/llcaps	true	true	true	pytorch
https://paperswithcode.com/paper/a-generic-approach-to-nonparametric-function	A generic approach to nonparametric function estimation with mixed data	1704.07457	http://arxiv.org/abs/1704.07457v3	http://arxiv.org/pdf/1704.07457v3.pdf	https://github.com/cran/cctools	false	false	true	none
https://paperswithcode.com/paper/vmamba-visual-state-space-model	VMamba: Visual State Space Model	2401.10166	https://arxiv.org/abs/2401.10166v4	https://arxiv.org/pdf/2401.10166v4.pdf	https://github.com/raytrun/mamba-clip	false	false	true	pytorch
https://paperswithcode.com/paper/raq-vae-rate-adaptive-vector-quantized	Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models	2405.14222	https://arxiv.org/abs/2405.14222v2	https://arxiv.org/pdf/2405.14222v2.pdf	https://github.com/JiwanSeo/RAQ-VAE	true	false	true	pytorch
https://paperswithcode.com/paper/roman-open-set-object-map-alignment-for	ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization	2410.08262	https://arxiv.org/abs/2410.08262v2	https://arxiv.org/pdf/2410.08262v2.pdf	https://github.com/mit-acl/ROMAN	true	false	false	none
https://paperswithcode.com/paper/cpa-wac-constellation-partitioning-based	CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding	null	https://www.ijcai.org/proceedings/2024/388	https://www.ijcai.org/proceedings/2024/0388.pdf	https://github.com/ganzagun/CPa-WAC	false	true	false	pytorch
https://paperswithcode.com/paper/minimum-weighted-feedback-arc-sets-for	Minimum Weighted Feedback Arc Sets for Ranking from Pairwise Comparisons	2412.16181	https://arxiv.org/abs/2412.16181v2	https://arxiv.org/pdf/2412.16181v2.pdf	https://github.com/soroushvahidi/ranking_with_mwfas	true	true	false	none
https://paperswithcode.com/paper/fast-generalizable-gaussian-splatting	MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo	2405.12218	https://arxiv.org/abs/2405.12218v3	https://arxiv.org/pdf/2405.12218v3.pdf	https://github.com/TQTQliu/MVSGaussian	true	true	true	pytorch
https://paperswithcode.com/paper/mmworld-towards-multi-discipline-multi	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos	2406.08407	https://arxiv.org/abs/2406.08407v3	https://arxiv.org/pdf/2406.08407v3.pdf	https://github.com/eric-ai-lab/mmworld	true	true	true	none
https://paperswithcode.com/paper/understanding-visual-concepts-across-models	Understanding Visual Concepts Across Models	2406.07506	https://arxiv.org/abs/2406.07506v1	https://arxiv.org/pdf/2406.07506v1.pdf	https://github.com/visual-words/visual-words	true	true	true	none
https://paperswithcode.com/paper/calibrating-doubly-robust-estimators-with	Calibrating doubly-robust estimators with unbalanced treatment assignment	2403.01585	https://arxiv.org/abs/2403.01585v2	https://arxiv.org/pdf/2403.01585v2.pdf	https://github.com/dballinari/Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment	true	true	true	none
https://paperswithcode.com/paper/pretraining-ecg-data-with-adversarial-masking	Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks	2211.07889	https://arxiv.org/abs/2211.07889v1	https://arxiv.org/pdf/2211.07889v1.pdf	https://github.com/jessica-bo/advmask_ecg	false	false	true	pytorch
https://paperswithcode.com/paper/subject-driven-text-to-image-generation-via-1	Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning	2407.12164	https://arxiv.org/abs/2407.12164v3	https://arxiv.org/pdf/2407.12164v3.pdf	https://github.com/andrew-miao/RPO	true	true	true	pytorch
https://paperswithcode.com/paper/chance-constrained-energy-storage-pricing-for	Chance-Constrained Energy Storage Pricing for Social Welfare Maximization	2407.07068	https://arxiv.org/abs/2407.07068v1	https://arxiv.org/pdf/2407.07068v1.pdf	https://github.com/thuqining/Storage_Pricing_for_Social_Welfare_Maximization	true	false	false	none
https://paperswithcode.com/paper/uncovering-latent-themes-of-messaging-on	Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs	2403.10707	https://arxiv.org/abs/2403.10707v2	https://arxiv.org/pdf/2403.10707v2.pdf	https://github.com/tunazislam/latent-themes-llms	true	true	true	pytorch
https://paperswithcode.com/paper/data-efficient-molecular-generation-with	Data-Efficient Molecular Generation with Hierarchical Textual Inversion	2405.02845	https://arxiv.org/abs/2405.02845v3	https://arxiv.org/pdf/2405.02845v3.pdf	https://github.com/seojin-kim/hi-mol	true	true	false	pytorch
https://paperswithcode.com/paper/spectral-variance-in-a-stochastic	Spectral Variance in a Stochastic Gravitational-Wave Background From a Binary Population	2407.06270	https://arxiv.org/abs/2407.06270v3	https://arxiv.org/pdf/2407.06270v3.pdf	https://github.com/astrolamb/pop_synth	true	true	true	none
https://paperswithcode.com/paper/search-based-trace-diagnostic	Search-based Trace Diagnostic	2406.17268	https://arxiv.org/abs/2406.17268v1	https://arxiv.org/pdf/2406.17268v1.pdf	https://github.com/gastd/ga-hls	true	true	false	none
https://paperswithcode.com/paper/trocr-transformer-based-optical-character	TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models	2109.10282	https://arxiv.org/abs/2109.10282v5	https://arxiv.org/pdf/2109.10282v5.pdf	https://github.com/prathameshza/TrOCR_FineTuning	false	false	false	none
https://paperswithcode.com/paper/dahl-domain-specific-automated-hallucination	DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine	2411.09255	https://arxiv.org/abs/2411.09255v1	https://arxiv.org/pdf/2411.09255v1.pdf	https://github.com/seemdog/DAHL	true	false	true	none
https://paperswithcode.com/paper/how-dnns-break-the-curse-of-dimensionality	How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning	2407.05664	https://arxiv.org/abs/2407.05664v1	https://arxiv.org/pdf/2407.05664v1.pdf	https://github.com/shc443/coveringnumber_gb	true	true	false	pytorch
https://paperswithcode.com/paper/hpff-hierarchical-locally-supervised-learning	HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion	2407.05638	https://arxiv.org/abs/2407.05638v2	https://arxiv.org/pdf/2407.05638v2.pdf	https://github.com/zeudfish/hpff	true	true	false	pytorch
https://paperswithcode.com/paper/passage-retrieval-of-polish-texts-using-okapi	Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders	2410.04620	https://arxiv.org/abs/2410.04620v1	https://arxiv.org/pdf/2410.04620v1.pdf	https://github.com/kubapok/poleval22	true	true	false	pytorch
https://paperswithcode.com/paper/eagleeye-attention-to-unveil-malicious-event	EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs	2408.09217	https://arxiv.org/abs/2408.09217v2	https://arxiv.org/pdf/2408.09217v2.pdf	https://github.com/gyselph/eagle-eye	true	false	true	tf
https://paperswithcode.com/paper/art-automatic-red-teaming-for-text-to-image	ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users	2405.19360	https://arxiv.org/abs/2405.19360v3	https://arxiv.org/pdf/2405.19360v3.pdf	https://github.com/guanlinlee/art	true	true	false	pytorch
https://paperswithcode.com/paper/position-coupling-leveraging-task-structure	Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure	2405.20671	https://arxiv.org/abs/2405.20671v2	https://arxiv.org/pdf/2405.20671v2.pdf	https://github.com/hanseuljo/position-coupling	true	true	true	pytorch
https://paperswithcode.com/paper/how-not-to-stitch-representations-to-measure	How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching	2412.11299	https://arxiv.org/abs/2412.11299v1	https://arxiv.org/pdf/2412.11299v1.pdf	https://github.com/szegedai/stitching-ood	true	true	false	pytorch
https://paperswithcode.com/paper/towards-controllable-face-generation-with	Controllable Face Synthesis with Semantic Latent Diffusion Models	2403.12743	https://arxiv.org/abs/2403.12743v2	https://arxiv.org/pdf/2403.12743v2.pdf	https://github.com/ergastialex/sca-dm	true	true	true	pytorch
https://paperswithcode.com/paper/neural-port-hamiltonian-differential	Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks	2412.11215	https://arxiv.org/abs/2412.11215v2	https://arxiv.org/pdf/2412.11215v2.pdf	https://github.com/nathan-t4/nphdae	true	true	true	jax
https://paperswithcode.com/paper/listen-and-speak-fairly-a-study-on-semantic	Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models	2407.06957	https://arxiv.org/abs/2407.06957v1	https://arxiv.org/pdf/2407.06957v1.pdf	https://github.com/dlion168/Listen-and-Speak-Fairly	true	true	true	none
https://paperswithcode.com/paper/autordf2gml-facilitating-rdf-integration-in	AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning	2407.18735	https://arxiv.org/abs/2407.18735v1	https://arxiv.org/pdf/2407.18735v1.pdf	https://github.com/davidlamprecht/autordf2gml	true	true	true	pytorch
https://paperswithcode.com/paper/extended-agriculture-vision-an-extension-of-a	Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis	2303.02460	https://arxiv.org/abs/2303.02460v1	https://arxiv.org/pdf/2303.02460v1.pdf	https://github.com/jingwu6/extended-agriculture-vision-dataset	true	true	true	pytorch
https://paperswithcode.com/paper/neural-cleanse-identifying-and-mitigating	Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks	null	https://ieeexplore.ieee.org/document/8835365	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8835365	https://github.com/bolunwang/backdoor	false	false	false	tf
https://paperswithcode.com/paper/scsa-exploring-the-synergistic-effects	SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention	2407.05128	https://arxiv.org/abs/2407.05128v2	https://arxiv.org/pdf/2407.05128v2.pdf	https://github.com/HZAI-ZJNU/SCSA	true	true	true	pytorch
https://paperswithcode.com/paper/efficient-and-long-tailed-generalization-for	Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model	2406.12638	https://arxiv.org/abs/2406.12638v1	https://arxiv.org/pdf/2406.12638v1.pdf	https://github.com/shijxcs/candle	true	true	true	pytorch
https://paperswithcode.com/paper/real-time-3d-object-detection-using	Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI Accelerator	2412.05594	https://arxiv.org/abs/2412.05594v1	https://arxiv.org/pdf/2412.05594v1.pdf	https://github.com/airotau/pointpillarshailoinnoviz	true	true	false	pytorch
https://paperswithcode.com/paper/data-driven-prediction-of-colonization	Data-driven prediction of colonization outcomes for complex microbial communities	null	https://doi.org/10.1038/s41467-024-46766-y	https://doi.org/10.1038/s41467-024-46766-y	https://github.com/spxuw/COP	true	false	false	pytorch
https://paperswithcode.com/paper/a-variational-bayes-approach-to-debiased	A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression	2406.12659	https://arxiv.org/abs/2406.12659v1	https://arxiv.org/pdf/2406.12659v1.pdf	https://github.com/lukemmtravis/Debiased-SVB	true	true	false	none
https://paperswithcode.com/paper/adaptive-habitability-of-exoplanets-thriving	Adaptive Habitability of Exoplanets: Thriving Under Extreme Environmental Change	2407.02571	https://arxiv.org/abs/2407.02571v1	https://arxiv.org/pdf/2407.02571v1.pdf	https://github.com/itaywe1998/Astro-Ecology-Paper	true	false	false	none
https://paperswithcode.com/paper/longformer-the-long-document-transformer	Longformer: The Long-Document Transformer	2004.05150	https://arxiv.org/abs/2004.05150v2	https://arxiv.org/pdf/2004.05150v2.pdf	https://github.com/mim-solutions/roberta_for_longer_texts	false	false	true	pytorch
https://paperswithcode.com/paper/enhancing-fake-news-detection-in-social-media	Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph	2406.09884	https://arxiv.org/abs/2406.09884v1	https://arxiv.org/pdf/2406.09884v1.pdf	https://github.com/zhaowanqing/FCN-LP	true	true	true	pytorch
https://paperswithcode.com/paper/vector-valued-variation-spaces-and-width	Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression	2305.16534	https://arxiv.org/abs/2305.16534v3	https://arxiv.org/pdf/2305.16534v3.pdf	https://github.com/joeshenouda/vv-spaces-nn-width	true	true	false	pytorch
https://paperswithcode.com/paper/dinov2-learning-robust-visual-features	DINOv2: Learning Robust Visual Features without Supervision	2304.07193	https://arxiv.org/abs/2304.07193v2	https://arxiv.org/pdf/2304.07193v2.pdf	https://github.com/facebookresearch/highrescanopyheight	false	false	true	pytorch
https://paperswithcode.com/paper/grathena-puncture-evolutions-on-vertex	GRAthena++: puncture evolutions on vertex-centered oct-tree AMR	2101.08289	https://arxiv.org/abs/2101.08289v1	https://arxiv.org/pdf/2101.08289v1.pdf	https://bitbucket.org/bernuzzi/twopuncturesc	false	false	true	none
https://paperswithcode.com/paper/a-single-domain-spectral-method-for-black	A single-domain spectral method for black hole puncture data	gr-qc/0404056	https://arxiv.org/abs/gr-qc/0404056v2	https://arxiv.org/pdf/gr-qc/0404056v2.pdf	https://bitbucket.org/bernuzzi/twopuncturesc	false	false	true	none
https://paperswithcode.com/paper/continual-learning-via-sequential-function	Continual Learning via Sequential Function-Space Variational Inference	2312.17210	https://arxiv.org/abs/2312.17210v1	https://arxiv.org/pdf/2312.17210v1.pdf	https://github.com/timrudner/S-FSVI	true	false	false	jax
https://paperswithcode.com/paper/2408-02205	Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents	2408.02205	https://arxiv.org/abs/2408.02205v4	https://arxiv.org/pdf/2408.02205v4.pdf	https://github.com/dishacse/Publication-Resources/tree/main/2025%20ICSA	true	false	false	none
https://paperswithcode.com/paper/structure-your-data-towards-semantic-graph	Structure Your Data: Towards Semantic Graph Counterfactuals	2403.06514	https://arxiv.org/abs/2403.06514v2	https://arxiv.org/pdf/2403.06514v2.pdf	https://github.com/aggeliki-dimitriou/sgce	true	true	true	pytorch
https://paperswithcode.com/paper/smart-scene-motion-aware-human-action	SMART: Scene-motion-aware human action recognition framework for mental disorder group	2406.04649	https://arxiv.org/abs/2406.04649v1	https://arxiv.org/pdf/2406.04649v1.pdf	https://github.com/inowlzy/smart	true	true	true	pytorch
https://paperswithcode.com/paper/mambamos-lidar-based-3d-moving-object	MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model	2404.12794	https://arxiv.org/abs/2404.12794v2	https://arxiv.org/pdf/2404.12794v2.pdf	https://github.com/terminal-k/mambamos	true	true	true	pytorch
https://paperswithcode.com/paper/learning-interpretable-collective-variables	Learning Interpretable Collective Variables for Spreading Processes on Networks	2307.03491	https://arxiv.org/abs/2307.03491v3	https://arxiv.org/pdf/2307.03491v3.pdf	https://github.com/lueckem/spreading-processes-cvs	true	true	true	none
https://paperswithcode.com/paper/a-conic-transformation-approach-for-solving	A Conic Transformation Approach for Solving the Perspective-Three-Point Problem	2504.01620	https://arxiv.org/abs/2504.01620v1	https://arxiv.org/pdf/2504.01620v1.pdf	https://github.com/hayden-86/p3p-solver	true	false	false	none
https://paperswithcode.com/paper/fastclip-a-suite-of-optimization-techniques	FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources	2407.01445	https://arxiv.org/abs/2407.01445v3	https://arxiv.org/pdf/2407.01445v3.pdf	https://github.com/optimization-ai/fast_clip	true	true	true	pytorch
https://paperswithcode.com/paper/reverse-map-projections-as-equivariant	Reverse Map Projections as Equivariant Quantum Embeddings	2407.19906	https://arxiv.org/abs/2407.19906v2	https://arxiv.org/pdf/2407.19906v2.pdf	https://github.com/kezmcd1903/equivariant_qnns	true	true	false	none
https://paperswithcode.com/paper/autostory-generating-diverse-storytelling	AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort	2311.11243	https://arxiv.org/abs/2311.11243v1	https://arxiv.org/pdf/2311.11243v1.pdf	https://github.com/aim-uofa/AutoStory	true	false	true	none
https://paperswithcode.com/paper/hierarchical-temporal-convolution-network	Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity Recognition	null	https://www.researchgate.net/publication/387230107_Hierarchical_Temporal_Convolution_Network_Towards_Privacy-Centric_Activity_Recognition	https://www.researchgate.net/publication/387230107_Hierarchical_Temporal_Convolution_Network_Towards_Privacy-Centric_Activity_Recognition	https://github.com/Gbouna/HT-ConvNet	false	true	false	pytorch
https://paperswithcode.com/paper/weakest-precondition-reasoning-for-expected	Weakest Precondition Reasoning for Expected Run-Times of Probabilistic Programs	1601.01001	http://arxiv.org/abs/1601.01001v2	http://arxiv.org/pdf/1601.01001v2.pdf	https://github.com/maxhaslbeck/verERT	false	false	true	none
https://paperswithcode.com/paper/generating-geographically-and-economically	Generating geographically and economically realistic large-scale synthetic contact networks: A general method using publicly available data	2406.14698	https://arxiv.org/abs/2406.14698v1	https://arxiv.org/pdf/2406.14698v1.pdf	https://github.com/cddep-dc/greasypop-co	true	true	true	none
https://paperswithcode.com/paper/chat-ai-a-seamless-slurm-native-solution-for	Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services	2407.00110	https://arxiv.org/abs/2407.00110v2	https://arxiv.org/pdf/2407.00110v2.pdf	https://github.com/gwdg/chat-ai	true	true	true	none
https://paperswithcode.com/paper/dense-neural-network-based-arrhythmia	Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller	2504.03531	https://arxiv.org/abs/2504.03531v1	https://arxiv.org/pdf/2504.03531v1.pdf	https://github.com/mohammedz666/denseecgmicro	true	true	false	none
https://paperswithcode.com/paper/batchtopk-sparse-autoencoders	BatchTopK Sparse Autoencoders	2412.06410	https://arxiv.org/abs/2412.06410v1	https://arxiv.org/pdf/2412.06410v1.pdf	https://github.com/bartbussmann/batchtopk	true	true	false	pytorch
https://paperswithcode.com/paper/dual-stream-feature-augmentation-for-domain	Dual-stream Feature Augmentation for Domain Generalization	2409.04699	https://arxiv.org/abs/2409.04699v1	https://arxiv.org/pdf/2409.04699v1.pdf	https://github.com/alusi123/dfa	true	true	false	pytorch
https://paperswithcode.com/paper/spinhex-a-low-crosstalk-spin-qubit	SpinHex: A low-crosstalk, spin-qubit architecture based on multi-electron couplers	2504.03149	https://arxiv.org/abs/2504.03149v1	https://arxiv.org/pdf/2504.03149v1.pdf	https://github.com/pschnabl/spin-qubit-mec-surface-code	true	true	true	none
https://paperswithcode.com/paper/fast-gradient-free-optimization-of	Fast gradient-free optimization of excitations in variational quantum eigensolvers	2409.05939	https://arxiv.org/abs/2409.05939v2	https://arxiv.org/pdf/2409.05939v2.pdf	https://github.com/dlr-wf/ExcitationSolve	true	false	true	none
https://paperswithcode.com/paper/federated-transformer-multi-party-vertical	Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data	2410.17986	https://arxiv.org/abs/2410.17986v1	https://arxiv.org/pdf/2410.17986v1.pdf	https://github.com/xtra-computing/fet	true	true	true	pytorch
https://paperswithcode.com/paper/genudc-high-quality-3d-mesh-generation-with	GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation	2410.17802	https://arxiv.org/abs/2410.17802v1	https://arxiv.org/pdf/2410.17802v1.pdf	https://github.com/trepangcat/genudc	true	true	false	none
https://paperswithcode.com/paper/cascrnet-an-atrous-spatial-pyramid-pooling	CASCRNet: An Atrous Spatial Pyramid Pooling and Shared Channel Residual based Network for Capsule Endoscopy	2410.17863	https://arxiv.org/abs/2410.17863v2	https://arxiv.org/pdf/2410.17863v2.pdf	https://github.com/Manvith-Prabhu/Capsule-Vision-2024	true	false	true	tf
https://paperswithcode.com/paper/off-policy-maximum-entropy-rl-with-future	Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures	2412.06655	https://arxiv.org/abs/2412.06655v1	https://arxiv.org/pdf/2412.06655v1.pdf	https://github.com/adrienBolland/future-visitation-exploration	true	false	true	pytorch
https://paperswithcode.com/paper/lamda-a-longitudinal-android-malware	LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis	2505.18551	https://arxiv.org/abs/2505.18551v1	https://arxiv.org/pdf/2505.18551v1.pdf	https://github.com/iqsec-lab/lamda	true	true	true	pytorch
https://paperswithcode.com/paper/allenoise-large-scale-text-classification	AlleNoise: large-scale text classification benchmark dataset with real-world label noise	2407.10992	https://arxiv.org/abs/2407.10992v2	https://arxiv.org/pdf/2407.10992v2.pdf	https://github.com/allegro/allenoise	true	true	false	pytorch
https://paperswithcode.com/paper/jess-designing-embodied-ai-for-interactive	Jess+: designing embodied AI for interactive music-making	2412.06469	https://arxiv.org/abs/2412.06469v1	https://arxiv.org/pdf/2412.06469v1.pdf	https://github.com/DigiScore/jess_plus	true	true	false	none
https://paperswithcode.com/paper/d2styler-advancing-arbitrary-style-transfer	D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods	2408.03558	https://arxiv.org/abs/2408.03558v1	https://arxiv.org/pdf/2408.03558v1.pdf	https://github.com/onkarsus13/d2styler	true	true	true	jax
https://paperswithcode.com/paper/lauragpt-listen-attend-understand-and	LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT	2310.04673	https://arxiv.org/abs/2310.04673v4	https://arxiv.org/pdf/2310.04673v4.pdf	https://github.com/modelscope/FunCodec	false	false	true	pytorch
https://paperswithcode.com/paper/improving-intervention-efficacy-via-concept	Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models	2405.01531	https://arxiv.org/abs/2405.01531v2	https://arxiv.org/pdf/2405.01531v2.pdf	https://github.com/explainableml/concept_realignment	true	true	true	pytorch
https://paperswithcode.com/paper/wm-net-robust-deep-3d-watermarking-with	Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking	2307.11628	https://arxiv.org/abs/2307.11628v2	https://arxiv.org/pdf/2307.11628v2.pdf	https://github.com/Xyronix99/Deep3DMark	true	false	true	pytorch
https://paperswithcode.com/paper/efficacy-of-modern-neuro-evolutionary	Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization	1912.05239	https://arxiv.org/abs/1912.05239v2	https://arxiv.org/pdf/1912.05239v2.pdf	https://github.com/PaoloP84/EfficacyModernES	true	true	false	none
https://paperswithcode.com/paper/fine-tuning-large-language-models-for-entity	Fine-tuning Large Language Models for Entity Matching	2409.08185	https://arxiv.org/abs/2409.08185v2	https://arxiv.org/pdf/2409.08185v2.pdf	https://github.com/wbsg-uni-mannheim/tailormatch	true	true	true	pytorch
https://paperswithcode.com/paper/grid-a-next-generation-data-parallel-c-qcd	Grid: A next generation data parallel C++ QCD library	1512.03487	http://arxiv.org/abs/1512.03487v1	http://arxiv.org/pdf/1512.03487v1.pdf	https://github.com/edbennett/grid_epcc	false	false	true	none
https://paperswithcode.com/paper/demonstration-of-an-ai-driven-workflow-for	Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy	2301.05286	https://arxiv.org/abs/2301.05286v1	https://arxiv.org/pdf/2301.05286v1.pdf	https://github.com/yatagarasu50469/slads	false	false	true	tf
https://paperswithcode.com/paper/empirical-evaluation-of-normalizing-flows-in	Empirical evaluation of normalizing flows in Markov Chain Monte Carlo	2412.17136	https://arxiv.org/abs/2412.17136v1	https://arxiv.org/pdf/2412.17136v1.pdf	https://github.com/davidnabergoj/nfmc	true	true	true	pytorch
https://paperswithcode.com/paper/multi-agent-motion-planning-from-signal	Multi-agent Motion Planning from Signal Temporal Logic Specifications	2201.05247	https://arxiv.org/abs/2201.05247v1	https://arxiv.org/pdf/2201.05247v1.pdf	https://github.com/Tass0sm/stl_planner	false	false	true	pytorch
https://paperswithcode.com/paper/a-novel-metric-for-assessing-climatological	A novel metric for assessing climatological surface habitability	2407.05838	https://arxiv.org/abs/2407.05838v2	https://arxiv.org/pdf/2407.05838v2.pdf	https://github.com/hannahwoodward/2024-hab-metrics	true	true	true	none
https://paperswithcode.com/paper/global-benchmark-database	Global Benchmark Database	2405.10045	https://arxiv.org/abs/2405.10045v2	https://arxiv.org/pdf/2405.10045v2.pdf	https://github.com/Udopia/gbdc	true	false	false	none

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.