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/detect-all-abuse-toward-universal-abusive	Detect All Abuse! Toward Universal Abusive Language Detection Models	2010.03776	https://arxiv.org/abs/2010.03776v2	https://arxiv.org/pdf/2010.03776v2.pdf	https://github.com/usydnlp/MACAS	true	true	false	none
https://paperswithcode.com/paper/an-efficient-assignment-of-drainage-direction	An Efficient Assignment of Drainage Direction Over Flat Surfaces in Raster Digital Elevation Models	1511.04433	https://arxiv.org/abs/1511.04433v1	https://arxiv.org/pdf/1511.04433v1.pdf	https://github.com/r-barnes/Barnes2013-FlatSurfaces	true	true	false	none
https://paperswithcode.com/paper/imexlbm-1-0-a-proxy-application-based-on-the	IMEXLBM 1.0: A Proxy Application based on the Lattice Boltzmann Method for solving Computational Fluid Dynamic problems on GPUs	2201.11330	https://arxiv.org/abs/2201.11330v1	https://arxiv.org/pdf/2201.11330v1.pdf	https://github.com/lucaso19891019/IMEXLB-1.0	true	true	true	none
https://paperswithcode.com/paper/deep-keyphrase-generation	Deep Keyphrase Generation	1704.06879	https://arxiv.org/abs/1704.06879v3	https://arxiv.org/pdf/1704.06879v3.pdf	https://github.com/mon95/deep-keyphrase	false	false	true	pytorch
https://paperswithcode.com/paper/190910094	Deep Structured Neural Network for Event Temporal Relation Extraction	1909.10094	https://arxiv.org/abs/1909.10094v2	https://arxiv.org/pdf/1909.10094v2.pdf	https://github.com/PlusLabNLP/Deep-Structured-EveEveTemp	true	false	true	pytorch
https://paperswithcode.com/paper/a-fast-route-to-non-linear-clustering	A Fast Route to Non-Linear Clustering Statistics in Modified Gravity Theories	1403.6492	https://arxiv.org/abs/1403.6492v2	https://arxiv.org/pdf/1403.6492v2.pdf	https://github.com/HAWinther/MG-PICOLA-PUBLIC	false	false	true	none
https://paperswithcode.com/paper/cola-with-scale-dependent-growth-applications	COLA with scale-dependent growth: applications to screened modified gravity models	1703.00879	https://arxiv.org/abs/1703.00879v2	https://arxiv.org/pdf/1703.00879v2.pdf	https://github.com/HAWinther/MG-PICOLA-PUBLIC	true	true	true	none
https://paperswithcode.com/paper/image-to-image-translation-with-conditional	Image-to-Image Translation with Conditional Adversarial Networks	1611.07004	http://arxiv.org/abs/1611.07004v3	http://arxiv.org/pdf/1611.07004v3.pdf	https://github.com/leemathew1998/GradientWeight	false	false	true	pytorch
https://paperswithcode.com/paper/asynchronous-methods-for-deep-reinforcement	Asynchronous Methods for Deep Reinforcement Learning	1602.01783	http://arxiv.org/abs/1602.01783v2	http://arxiv.org/pdf/1602.01783v2.pdf	https://github.com/Kaixhin/ACER	false	false	true	pytorch
https://paperswithcode.com/paper/on-long-tailed-phenomena-in-neural-machine	On Long-Tailed Phenomena in Neural Machine Translation	2010.04924	https://arxiv.org/abs/2010.04924v1	https://arxiv.org/pdf/2010.04924v1.pdf	https://github.com/vyraun/long-tailed	true	true	false	pytorch
https://paperswithcode.com/paper/a-recursive-markov-blanket-based-approach-to	A Recursive Markov Boundary-Based Approach to Causal Structure Learning	2010.04992	https://arxiv.org/abs/2010.04992v3	https://arxiv.org/pdf/2010.04992v3.pdf	https://github.com/Ehsan-Mokhtarian/MARVEL	true	true	false	none
https://paperswithcode.com/paper/photo-realistic-single-image-super-resolution	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	1609.04802	http://arxiv.org/abs/1609.04802v5	http://arxiv.org/pdf/1609.04802v5.pdf	https://github.com/wkhademi/ImageEnhancement	false	false	true	tf
https://paperswithcode.com/paper/unpaired-image-to-image-translation-using	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	1703.10593	https://arxiv.org/abs/1703.10593v7	https://arxiv.org/pdf/1703.10593v7.pdf	https://github.com/wkhademi/ImageEnhancement	false	false	true	tf
https://paperswithcode.com/paper/comstreamclust-a-communicative-text	ComStreamClust: a communicative multi-agent approach to text clustering in streaming data	2010.05349	https://arxiv.org/abs/2010.05349v2	https://arxiv.org/pdf/2010.05349v2.pdf	https://github.com/AliNajafi1998/ComStream	true	true	true	none
https://paperswithcode.com/paper/the-effective-halo-model-creating-a-physical	The Effective Halo Model: Creating a Physical and Accurate Model of the Matter Power Spectrum and Cluster Counts	2004.09515	https://arxiv.org/abs/2004.09515v3	https://arxiv.org/pdf/2004.09515v3.pdf	https://github.com/oliverphilcox/EffectiveHalos	true	false	true	none
https://paperswithcode.com/paper/cxgbert-bert-meets-construction-grammar	CxGBERT: BERT meets Construction Grammar	2011.04134	https://arxiv.org/abs/2011.04134v1	https://arxiv.org/pdf/2011.04134v1.pdf	https://github.com/H-TayyarMadabushi/CxGBERT-BERT-meets-Construction-Grammar	true	true	false	none
https://paperswithcode.com/paper/progressive-image-deraining-networks-a-better	Progressive Image Deraining Networks: A Better and Simpler Baseline	1901.09221	https://arxiv.org/abs/1901.09221v3	https://arxiv.org/pdf/1901.09221v3.pdf	https://github.com/Leozhibin/PReNet-master	false	false	true	pytorch
https://paperswithcode.com/paper/detecting-perceived-emotions-in-hurricane	Detecting Perceived Emotions in Hurricane Disasters	2004.14299	https://arxiv.org/abs/2004.14299v1	https://arxiv.org/pdf/2004.14299v1.pdf	https://github.com/shreydesai/hurricane	true	true	true	pytorch
https://paperswithcode.com/paper/addressing-function-approximation-error-in	Addressing Function Approximation Error in Actor-Critic Methods	1802.09477	http://arxiv.org/abs/1802.09477v3	http://arxiv.org/pdf/1802.09477v3.pdf	https://github.com/arrival-ltd/catalyst-rl-tutorial	false	false	true	pytorch
https://paperswithcode.com/paper/rethinking-bottleneck-structure-for-efficient	Rethinking Bottleneck Structure for Efficient Mobile Network Design	2007.02269	https://arxiv.org/abs/2007.02269v4	https://arxiv.org/pdf/2007.02269v4.pdf	https://github.com/Andrew-Qibin/ssdlite-pytorch	true	true	true	pytorch
https://paperswithcode.com/paper/sim2real-for-peg-hole-insertion-with-eye-in	Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera	2005.14401	https://arxiv.org/abs/2005.14401v1	https://arxiv.org/pdf/2005.14401v1.pdf	https://github.com/arrival-ltd/catalyst-rl-tutorial	true	false	true	pytorch
https://paperswithcode.com/paper/sample-efficient-ensemble-learning-with	Sample Efficient Ensemble Learning with Catalyst.RL	2003.14210	https://arxiv.org/abs/2003.14210v2	https://arxiv.org/pdf/2003.14210v2.pdf	https://github.com/arrival-ltd/catalyst-rl-tutorial	false	false	true	pytorch
https://paperswithcode.com/paper/automated-and-network-structure-preserving	Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics	1912.09978	https://arxiv.org/abs/1912.09978v2	https://arxiv.org/pdf/1912.09978v2.pdf	https://github.com/giaylenia/OCTA_segm_study	true	true	true	tf
https://paperswithcode.com/paper/word2vec-explained-deriving-mikolov-et-als	word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method	1402.3722	http://arxiv.org/abs/1402.3722v1	http://arxiv.org/pdf/1402.3722v1.pdf	https://github.com/LAEarnsChamp/skipgram-negativesampling	false	false	true	none
https://paperswithcode.com/paper/alexandrov-geometry-preliminary-version-no-1	Alexandrov geometry: foundations	1903.08539	https://arxiv.org/abs/1903.08539v6	https://arxiv.org/pdf/1903.08539v6.pdf	https://github.com/anton-petrunin/book	true	false	false	none
https://paperswithcode.com/paper/eegnet-a-compact-convolutional-network-for	EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces	1611.08024	http://arxiv.org/abs/1611.08024v4	http://arxiv.org/pdf/1611.08024v4.pdf	https://github.com/YundongWang/BCI_Challenge	false	false	true	tf
https://paperswithcode.com/paper/syllabic-quantity-patterns-as-rhythmic	Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution	2110.14203	https://arxiv.org/abs/2110.14203v1	https://arxiv.org/pdf/2110.14203v1.pdf	https://github.com/silvia-cor/syllabicquantity_latin	true	true	false	pytorch
https://paperswithcode.com/paper/implementing-behavior-trees-using-three	Implementing Behavior Trees using Three-Valued Logic	2011.03835	https://arxiv.org/abs/2011.03835v1	https://arxiv.org/pdf/2011.03835v1.pdf	https://github.com/active-logic/activelogic-cs	true	true	false	none
https://paperswithcode.com/paper/pp-ocr-a-practical-ultra-lightweight-ocr	PP-OCR: A Practical Ultra Lightweight OCR System	2009.09941	https://arxiv.org/abs/2009.09941v3	https://arxiv.org/pdf/2009.09941v3.pdf	https://github.com/hieu28022000/PaddleOCR	false	false	true	paddle
https://paperswithcode.com/paper/learning-observation-based-certifiable-safe	Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation	2109.07760	https://arxiv.org/abs/2109.07760v1	https://arxiv.org/pdf/2109.07760v1.pdf	https://github.com/yuxiangcui/marl-ocbf	true	true	true	none
https://paperswithcode.com/paper/uav-path-planning-for-wireless-data	UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach	2007.00544	https://arxiv.org/abs/2007.00544v2	https://arxiv.org/pdf/2007.00544v2.pdf	https://github.com/theilem/uavSim	false	false	true	tf
https://paperswithcode.com/paper/is-this-really-you-an-empirical-study-on-risk	Is This Really You? An Empirical Study on Risk-Based Authentication Applied in the Wild	2003.07622	https://arxiv.org/abs/2003.07622v1	https://arxiv.org/pdf/2003.07622v1.pdf	https://github.com/DASCologne/HOSIT	true	true	false	none
https://paperswithcode.com/paper/a-convnet-for-the-2020s	A ConvNet for the 2020s	2201.03545	https://arxiv.org/abs/2201.03545v2	https://arxiv.org/pdf/2201.03545v2.pdf	https://github.com/dongkyuk/ConvNext-tensorflow	false	false	true	tf
https://paperswithcode.com/paper/surface-dynamics-equilibrium-points-and	Surface Dynamics, Equilibrium Points and Individual Lobes of the Kuiper Belt Object (486958) Arrokoth	2006.07823	https://arxiv.org/abs/2006.07823v1	https://arxiv.org/pdf/2006.07823v1.pdf	https://github.com/a-amarante/minor-equilibria	true	true	false	none
https://paperswithcode.com/paper/accelerating-self-play-learning-in-go	Accelerating Self-Play Learning in Go	1902.10565	https://arxiv.org/abs/1902.10565v5	https://arxiv.org/pdf/1902.10565v5.pdf	https://github.com/lightvector/KataGo	true	true	true	tf
https://paperswithcode.com/paper/deep-neural-networks-for-low-cost-eye	Deep Neural Networks for Low-Cost Eye Tracking	null	https://www.sciencedirect.com/science/article/pii/S1877050920319360?via%3Dihub	https://www.sciencedirect.com/science/article/pii/S1877050920319360?via%3Dihub	https://github.com/Ildaron/Pest_YoloV3_python_custom-data	false	false	false	none
https://paperswithcode.com/paper/evidential-sparsification-of-multimodal	Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders	2010.09164	https://arxiv.org/abs/2010.09164v3	https://arxiv.org/pdf/2010.09164v3.pdf	https://github.com/sisl/EvidentialSparsification	true	true	false	pytorch
https://paperswithcode.com/paper/spliteasy-a-practical-approach-for-training	SplitEasy: A Practical Approach for Training ML models on Mobile Devices	2011.04232	https://arxiv.org/abs/2011.04232v2	https://arxiv.org/pdf/2011.04232v2.pdf	https://github.com/kamalesh0406/SplitEasy	true	true	true	pytorch
https://paperswithcode.com/paper/aircraft-engines-remaining-useful-life-1	Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine	null	https://www.mdpi.com/2076-3417/10/3/1062	https://www.mdpi.com/2076-3417/10/3/1062	https://github.com/TBdevellopper/Deep-belief-Neural-Networks-ELM-	true	false	false	none
https://paperswithcode.com/paper/atomic-crosschain-transactions-white-paper	Atomic Crosschain Transactions White Paper	2003.00903	https://arxiv.org/abs/2003.00903v2	https://arxiv.org/pdf/2003.00903v2.pdf	https://github.com/ConsenSys/sidechains-samples	true	false	false	none
https://paperswithcode.com/paper/improving-mae-against-cce-under-label-noise	IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters	1903.12141	https://arxiv.org/abs/1903.12141v9	https://arxiv.org/pdf/1903.12141v9.pdf	https://github.com/XinshaoAmosWang/Emphasis-Regularisation-by-Gradient-Rescaling	false	false	true	none
https://paperswithcode.com/paper/free-and-customizable-code-documentation-with	Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach	2412.00726	https://arxiv.org/abs/2412.00726v1	https://arxiv.org/pdf/2412.00726v1.pdf	https://github.com/souradipp76/ReadMeReady	true	true	false	none
https://paperswithcode.com/paper/meta-reinforcement-learning-of-structured	Meta-Reinforcement Learning of Structured Exploration Strategies	1802.07245	http://arxiv.org/abs/1802.07245v1	http://arxiv.org/pdf/1802.07245v1.pdf	https://github.com/russellmendonca/maesn_suite	true	false	true	tf
https://paperswithcode.com/paper/meta-learning-stationary-stochastic-process	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes	2007.01332	https://arxiv.org/abs/2007.01332v2	https://arxiv.org/pdf/2007.01332v2.pdf	https://github.com/wesselb/NeuralProcesses.jl	true	true	true	none
https://paperswithcode.com/paper/pcl-proposal-cluster-learning-for-weakly	PCL: Proposal Cluster Learning for Weakly Supervised Object Detection	1807.03342	http://arxiv.org/abs/1807.03342v2	http://arxiv.org/pdf/1807.03342v2.pdf	https://github.com/ppengtang/pcl.pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/multiple-instance-detection-network-with	Multiple Instance Detection Network with Online Instance Classifier Refinement	1704.00138	http://arxiv.org/abs/1704.00138v1	http://arxiv.org/pdf/1704.00138v1.pdf	https://github.com/ppengtang/pcl.pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/privacy-preserving-pose-estimation-for-human	Privacy-Preserving Pose Estimation for Human-Robot Interaction	2011.07387	https://arxiv.org/abs/2011.07387v1	https://arxiv.org/pdf/2011.07387v1.pdf	https://github.com/xiaxx244/shadow_pose_estimation	true	true	false	tf
https://paperswithcode.com/paper/unsupervised-anomaly-detection-with	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	1703.05921	http://arxiv.org/abs/1703.05921v1	http://arxiv.org/pdf/1703.05921v1.pdf	https://github.com/YeongHyeon/f-AnoGAN-TF	false	false	false	tf
https://paperswithcode.com/paper/an-automatic-cost-learning-framework-for	An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning	null	https://ieeexplore.ieee.org/abstract/document/9205850	https://ieeexplore.ieee.org/abstract/document/9205850	https://github.com/a-pig-akab/SPAR-RL_porject	false	false	false	tf
https://paperswithcode.com/paper/can-creative-adversarial-networks-generating	CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms	1706.07068	http://arxiv.org/abs/1706.07068v1	http://arxiv.org/pdf/1706.07068v1.pdf	https://github.com/sfc-computational-creativity-lab/x-rhythm-can	false	false	true	tf
https://paperswithcode.com/paper/algorithms-and-complexity-on-indexing-founder	Algorithms and Complexity on Indexing Founder Graphs	2102.12822	https://arxiv.org/abs/2102.12822v6	https://arxiv.org/pdf/2102.12822v6.pdf	https://github.com/algbio/founderblockgraphs	true	true	false	none
https://paperswithcode.com/paper/guarantees-for-the-kronecker-fast-johnson	Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument	1911.08424	https://arxiv.org/abs/1911.08424v1	https://arxiv.org/pdf/1911.08424v1.pdf	https://github.com/OsmanMalik/kronecker-sketching	true	true	true	none
https://paperswithcode.com/paper/a-convolutional-attention-network-for-extreme	A Convolutional Attention Network for Extreme Summarization of Source Code	1602.03001	http://arxiv.org/abs/1602.03001v2	http://arxiv.org/pdf/1602.03001v2.pdf	https://github.com/mdrafiqulrabin/tnpa-generalizability	false	false	true	none
https://paperswithcode.com/paper/3d-deformable-convolutions-for-mri	3D Deformable Convolutions for MRI classification	1911.01898	https://arxiv.org/abs/1911.01898v1	https://arxiv.org/pdf/1911.01898v1.pdf	https://github.com/kondratevakate/3DDeformableConvolutions	false	false	true	pytorch
https://paperswithcode.com/paper/problems-of-dataset-creation-for-light-source	Problems of dataset creation for light source estimation	2006.02692	https://arxiv.org/abs/2006.02692v2	https://arxiv.org/pdf/2006.02692v2.pdf	https://github.com/Visillect/CubePlusPlus	false	false	true	none
https://paperswithcode.com/paper/benchmarking-deep-reinforcement-learning-for	Benchmarking Deep Reinforcement Learning for Continuous Control	1604.06778	http://arxiv.org/abs/1604.06778v3	http://arxiv.org/pdf/1604.06778v3.pdf	https://github.com/russellmendonca/maesn_suite	false	false	true	tf
https://paperswithcode.com/paper/why-model-why-assessing-the-strengths-and	Why model why? Assessing the strengths and limitations of LIME	2012.00093	https://arxiv.org/abs/2012.00093v1	https://arxiv.org/pdf/2012.00093v1.pdf	https://github.com/jdieber/WhyModelWhy	true	true	false	none
https://paperswithcode.com/paper/towards-impartial-multi-task-learning	Towards Impartial Multi-task Learning	null	https://openreview.net/forum?id=IMPnRXEWpvr	https://openreview.net/pdf?id=IMPnRXEWpvr	https://github.com/avivnavon/nash-mtl	false	false	false	pytorch
https://paperswithcode.com/paper/boosting-cross-architectural-emulation	Boosting Cross-Architectural Emulation Performance by Foregoing the Intermediate Representation Model	2501.03427	https://arxiv.org/abs/2501.03427v1	https://arxiv.org/pdf/2501.03427v1.pdf	https://github.com/amyipdev/riscv-um	true	true	false	none
https://paperswithcode.com/paper/flower-a-comprehensive-dataflow-compiler-for-1	FLOWER: A comprehensive dataflow compiler for high-level synthesis	2112.07789	https://arxiv.org/abs/2112.07789v1	https://arxiv.org/pdf/2112.07789v1.pdf	https://github.com/AnyDSL/anydsl	false	false	false	none
https://paperswithcode.com/paper/deeperforensics-challenge-2020-on-real-world	DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results	2102.09471	https://arxiv.org/abs/2102.09471v1	https://arxiv.org/pdf/2102.09471v1.pdf	https://github.com/EndlessSora/DeeperForensics-1.0	true	true	true	none
https://paperswithcode.com/paper/cspnet-a-new-backbone-that-can-enhance	CSPNet: A New Backbone that can Enhance Learning Capability of CNN	1911.11929	https://arxiv.org/abs/1911.11929v1	https://arxiv.org/pdf/1911.11929v1.pdf	https://github.com/6-dl/darknet_wpb	false	false	true	tf
https://paperswithcode.com/paper/scaled-yolov4-scaling-cross-stage-partial	Scaled-YOLOv4: Scaling Cross Stage Partial Network	2011.08036	https://arxiv.org/abs/2011.08036v2	https://arxiv.org/pdf/2011.08036v2.pdf	https://github.com/6-dl/darknet_wpb	false	false	true	tf
https://paperswithcode.com/paper/yolov4-optimal-speed-and-accuracy-of-object	YOLOv4: Optimal Speed and Accuracy of Object Detection	2004.10934	https://arxiv.org/abs/2004.10934v1	https://arxiv.org/pdf/2004.10934v1.pdf	https://github.com/6-dl/darknet_wpb	false	false	true	tf
https://paperswithcode.com/paper/focal-loss-for-dense-object-detection	Focal Loss for Dense Object Detection	1708.02002	http://arxiv.org/abs/1708.02002v2	http://arxiv.org/pdf/1708.02002v2.pdf	https://github.com/simonlevine/11785-project	false	false	true	pytorch
https://paperswithcode.com/paper/a-global-correction-to-ppmxl-proper-motions	A Global Correction to PPMXL Proper Motions	1602.08868	http://arxiv.org/abs/1602.08868v1	http://arxiv.org/pdf/1602.08868v1.pdf	https://github.com/johnjvickers/ppmxl_correction	true	true	false	none
https://paperswithcode.com/paper/measuring-amplitudes-of-harmonics-and	Measuring amplitudes of harmonics and combination frequencies in variable stars	1512.00004	http://arxiv.org/abs/1512.00004v1	http://arxiv.org/pdf/1512.00004v1.pdf	https://github.com/earlbellinger/multiperiod	true	true	false	none
https://paperswithcode.com/paper/weakly-supervised-person-re-identification	Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark	1904.03845	https://arxiv.org/abs/1904.03845v3	https://arxiv.org/pdf/1904.03845v3.pdf	https://github.com/wanggrun/SYSU-30k	true	true	true	pytorch
https://paperswithcode.com/paper/the-l-functions-and-modular-forms-database	The L-functions and modular forms database project	1511.04289	http://arxiv.org/abs/1511.04289v2	http://arxiv.org/pdf/1511.04289v2.pdf	https://github.com/LMFDB/lmfdb	true	true	false	none
https://paperswithcode.com/paper/robust-high-contrast-companion-detection-from	Robust high-contrast companion detection from interferometric observations. The CANDID algorithm and an application to six binary Cepheids	1505.02715	http://arxiv.org/abs/1505.02715v2	http://arxiv.org/pdf/1505.02715v2.pdf	https://github.com/amerand/CANDID	true	true	true	none
https://paperswithcode.com/paper/large-scale-gan-training-for-high-fidelity	Large Scale GAN Training for High Fidelity Natural Image Synthesis	1809.11096	http://arxiv.org/abs/1809.11096v2	http://arxiv.org/pdf/1809.11096v2.pdf	https://github.com/sarus-tech/tf2-published-models	false	false	false	tf
https://paperswithcode.com/paper/non-signaling-boxes-and-quantum-logics	Non-signaling boxes and quantum logics	1305.3449	http://arxiv.org/abs/1305.3449v3	http://arxiv.org/pdf/1305.3449v3.pdf	https://github.com/ttylec/non-signalling-boxes	true	true	false	none
https://paperswithcode.com/paper/penelopie-enabling-open-information	PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation	2103.15075	https://arxiv.org/abs/2103.15075v1	https://arxiv.org/pdf/2103.15075v1.pdf	https://github.com/lighteternal/PENELOPIE	true	true	false	none
https://paperswithcode.com/paper/neural-mesh-flow-3d-manifold-mesh	Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows	2007.10973	https://arxiv.org/abs/2007.10973v2	https://arxiv.org/pdf/2007.10973v2.pdf	https://github.com/KunalMGupta/NeuralMeshFlow	true	false	true	pytorch
https://paperswithcode.com/paper/models-of-random-knots	Models of Random Knots	1711.10470	http://arxiv.org/abs/1711.10470v1	http://arxiv.org/pdf/1711.10470v1.pdf	https://github.com/chaim-e/abcdefg	true	true	false	none
https://paperswithcode.com/paper/statistical-modelling-of-computer-network	Statistical Modelling of Computer Network Traffic Event Times	1711.10416	http://arxiv.org/abs/1711.10416v1	http://arxiv.org/pdf/1711.10416v1.pdf	https://github.com/Matt0312/SToCND	true	true	false	none
https://paperswithcode.com/paper/the-tamed-unadjusted-langevin-algorithm	The Tamed Unadjusted Langevin Algorithm	1710.05559	http://arxiv.org/abs/1710.05559v3	http://arxiv.org/pdf/1710.05559v3.pdf	https://github.com/nbrosse/TULA	true	true	false	none
https://paperswithcode.com/paper/a-game-theoretic-framework-for-multi-period	A Game-Theoretic Framework for Multi-Period-Multi-Company Demand Response Management in the Smart Grid	1710.00145	http://arxiv.org/abs/1710.00145v5	http://arxiv.org/pdf/1710.00145v5.pdf	https://github.com/kalsheh2/DemandResponse	true	true	true	none
https://paperswithcode.com/paper/pointless-continuous-spatial-surface	Pointless Continuous Spatial Surface Reconstruction	1709.09659	http://arxiv.org/abs/1709.09659v1	http://arxiv.org/pdf/1709.09659v1.pdf	https://github.com/wilsonka/pointless-spatial-modeling	true	true	false	none
https://paperswithcode.com/paper/cola-with-massive-neutrinos	COLA with massive neutrinos	1705.08165	http://arxiv.org/abs/1705.08165v2	http://arxiv.org/pdf/1705.08165v2.pdf	https://github.com/HAWinther/MG-PICOLA-PUBLIC	true	true	false	none
https://paperswithcode.com/paper/machine-learning-assisted-correction-of	Machine-learning-assisted correction of correlated qubit errors in a topological code	1705.07855	http://arxiv.org/abs/1705.07855v3	http://arxiv.org/pdf/1705.07855v3.pdf	https://github.com/obriente/qgarden	true	true	false	none
https://paperswithcode.com/paper/service-provider-devops	Service Provider DevOps	1702.06387	http://arxiv.org/abs/1702.06387v1	http://arxiv.org/pdf/1702.06387v1.pdf	https://github.com/nigsics/ramon	true	true	false	none
https://paperswithcode.com/paper/minizinc-with-strings	MiniZinc with Strings	1608.03650	http://arxiv.org/abs/1608.03650v1	http://arxiv.org/pdf/1608.03650v1.pdf	https://bitbucket.org/jossco/gecode-string	true	true	false	none
https://paperswithcode.com/paper/the-latent-logarithm	The latent logarithm	1605.06064	http://arxiv.org/abs/1605.06064v1	http://arxiv.org/pdf/1605.06064v1.pdf	https://github.com/surgebiswas/latent_log	true	true	false	none
https://paperswithcode.com/paper/explicit-moments-of-decision-times-for-single	Explicit moments of decision times for single- and double-threshold drift-diffusion processes	1601.06420	http://arxiv.org/abs/1601.06420v1	http://arxiv.org/pdf/1601.06420v1.pdf	https://github.com/PrincetonUniversity/higher_moments_ddm	true	true	false	none
https://paperswithcode.com/paper/the-spectral-sn-grb-connection-systematic	The Spectral SN-GRB Connection: Systematic Spectral Comparisons between Type Ic Supernovae, and broad-lined Type Ic Supernovae with and without Gamma-Ray Bursts	1509.07124	http://arxiv.org/abs/1509.07124v3	http://arxiv.org/pdf/1509.07124v3.pdf	https://github.com/nyusngroup/SESNspectraLib	true	true	false	none
https://paperswithcode.com/paper/adaptive-radial-basis-function-generated	Adaptive Radial Basis Function-generated Finite Differences method for contact problems	1811.10368	http://arxiv.org/abs/1811.10368v2	http://arxiv.org/pdf/1811.10368v2.pdf	https://gitlab.com/e62Lab/2018AdaptivePaper	true	true	false	none
https://paperswithcode.com/paper/the-galaxy-power-spectrum-and-bispectrum-in	The Galaxy Power Spectrum and Bispectrum in Redshift Space	1806.04015	http://arxiv.org/abs/1806.04015v2	http://arxiv.org/pdf/1806.04015v2.pdf	https://github.com/djeong98/pkgs_supplement	true	true	false	none
https://paperswithcode.com/paper/variable-order-fractional-fokker-planck	Variable Order Fractional Fokker-Planck Equations derived from Continuous Time Random Walks	1712.06767	http://arxiv.org/abs/1712.06767v3	http://arxiv.org/pdf/1712.06767v3.pdf	https://github.com/strakaps/variable-order-MC	true	true	true	none
https://paperswithcode.com/paper/a-machine-learning-approach-to-forecasting	A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health	1602.06335	http://arxiv.org/abs/1602.06335v4	http://arxiv.org/pdf/1602.06335v4.pdf	https://github.com/JohnNay/forecastVeg	true	true	true	none
https://paperswithcode.com/paper/score-based-generative-modeling-through-1	Score-Based Generative Modeling through Stochastic Differential Equations	2011.13456	https://arxiv.org/abs/2011.13456v2	https://arxiv.org/pdf/2011.13456v2.pdf	https://github.com/X-LANCE/VoiceFlow-TTS	false	false	true	pytorch
https://paperswithcode.com/paper/efficient-architecture-aware-acceleration-of	Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems	1907.12931	http://arxiv.org/abs/1907.12931v1	http://arxiv.org/pdf/1907.12931v1.pdf	https://github.com/bwa-mem2/bwa-mem2	true	true	false	none
https://paperswithcode.com/paper/quantum-diamond-spectrometer-for-nanoscale	Quantum diamond spectrometer for nanoscale NMR and ESR spectroscopy	1905.11099	http://arxiv.org/abs/1905.11099v1	http://arxiv.org/pdf/1905.11099v1.pdf	https://gitlab.com/dplaudecraik/qdSpectro	true	true	false	none
https://paperswithcode.com/paper/energy-storage-in-madeira-portugal-co	Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup	1904.00463	http://arxiv.org/abs/1904.00463v2	http://arxiv.org/pdf/1904.00463v2.pdf	https://github.com/umar-hashmi/MadeiraStorage	true	true	false	none
https://paperswithcode.com/paper/on-symmetry-and-quantification-a-new-approach	On Symmetry and Quantification: A New Approach to Verify Distributed Protocols	2103.14831	https://arxiv.org/abs/2103.14831v1	https://arxiv.org/pdf/2103.14831v1.pdf	https://github.com/aman-goel/nfm2021exp	true	true	false	none
https://paperswithcode.com/paper/sampling-first-passage-times-of-fractional	Sampling first-passage times of fractional Brownian Motion using adaptive bisections	1908.11634	http://arxiv.org/abs/1908.11634v1	http://arxiv.org/pdf/1908.11634v1.pdf	https://github.com/benjamin-w/fracbm-fpt-mc	true	true	false	none
https://paperswithcode.com/paper/variational-extrapolation-of-implicit-schemes	Variational Extrapolation of Implicit Schemes for General Gradient Flows	1908.10246	http://arxiv.org/abs/1908.10246v2	http://arxiv.org/pdf/1908.10246v2.pdf	https://github.com/AZaitzeff/gradientflow	true	true	false	none
https://paperswithcode.com/paper/augmented-unlocking-techniques-for	Augmented Unlocking Techniques for Smartphones Using Pre-Touch Information	1908.09165	http://arxiv.org/abs/1908.09165v1	http://arxiv.org/pdf/1908.09165v1.pdf	https://github.com/spamalot/3D-Pattern-Lock	true	true	false	none
https://paperswithcode.com/paper/incorporating-fault-proneness-estimations	Incorporating fault-proneness estimations into coverage-based test case prioritization methods	1908.06502	http://arxiv.org/abs/1908.06502v2	http://arxiv.org/pdf/1908.06502v2.pdf	https://github.com/khesoem/Defects4J-Plus-M	true	true	false	none
https://paperswithcode.com/paper/modeling-kepler-eclipsing-binaries	Modeling Kepler Eclipsing Binaries: Homogeneous Inference of Orbital & Stellar Properties	1908.00139	http://arxiv.org/abs/1908.00139v1	http://arxiv.org/pdf/1908.00139v1.pdf	https://github.com/savvytruffle/keblat	true	true	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.