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/numerical-modeling-of-specimen-geometry-for	Numerical modeling of specimen geometry for quantitative energy dispersive X-ray spectroscopy	1708.04565	http://arxiv.org/abs/1708.04565v1	http://arxiv.org/pdf/1708.04565v1.pdf	https://github.com/subangstrom/superAngle	true	true	false	none
https://paperswithcode.com/paper/semi-global-weighted-least-squares-in-image-1	Semi-Global Weighted Least Squares in Image Filtering	1705.01674	http://arxiv.org/abs/1705.01674v4	http://arxiv.org/pdf/1705.01674v4.pdf	https://github.com/wliusjtu/Semi-Global-Weighted-Least-Squares-in-Image-Filtering	true	true	false	none
https://paperswithcode.com/paper/bottom-up-and-top-down-attention-for-image	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	1707.07998	http://arxiv.org/abs/1707.07998v3	http://arxiv.org/pdf/1707.07998v3.pdf	https://github.com/FJSam/SelfCritical_ImageCaptioning	false	false	true	pytorch
https://paperswithcode.com/paper/diagnosing-error-in-temporal-action-detectors	Diagnosing Error in Temporal Action Detectors	1807.10706	http://arxiv.org/abs/1807.10706v1	http://arxiv.org/pdf/1807.10706v1.pdf	https://github.com/HumamAlwassel/DETAD	true	false	false	none
https://paperswithcode.com/paper/hierarchical-interpolative-factorization-for-1	Hierarchical interpolative factorization for elliptic operators: differential equations	1307.2895	http://arxiv.org/abs/1307.2895v3	http://arxiv.org/pdf/1307.2895v3.pdf	https://github.com/klho/FLAM	true	true	false	none
https://paperswithcode.com/paper/will-this-paper-increase-your-h-index	Will This Paper Increase Your h-index? Scientific Impact Prediction	1412.4754	https://arxiv.org/abs/1412.4754v1	https://arxiv.org/pdf/1412.4754v1.pdf	https://github.com/nmhaddad/youtube-machine-learning-experiments	false	false	true	none
https://paperswithcode.com/paper/past-present-and-future-of-simultaneous	Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age	1606.05830	http://arxiv.org/abs/1606.05830v4	http://arxiv.org/pdf/1606.05830v4.pdf	https://github.com/dannofield/Particle-Filter-Kidnapped-Vehicle	false	false	true	none
https://paperswithcode.com/paper/ngraph-he-a-graph-compiler-for-deep-learning	nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data	1810.10121	http://arxiv.org/abs/1810.10121v1	http://arxiv.org/pdf/1810.10121v1.pdf	https://github.com/NervanaSystems/he-transformer	true	false	true	tf
https://paperswithcode.com/paper/blockclique-scaling-blockchains-through	Blockclique: scaling blockchains through transaction sharding in a multithreaded block graph	1803.09029	http://arxiv.org/abs/1803.09029v4	http://arxiv.org/pdf/1803.09029v4.pdf	https://gitlab.com/blockclique/blockclique	true	false	true	none
https://paperswithcode.com/paper/a-supervised-neural-network-for-drag	A supervised neural network for drag prediction of arbitrary 2D shapes in low Reynolds number flows	1907.05090	https://arxiv.org/abs/1907.05090v4	https://arxiv.org/pdf/1907.05090v4.pdf	https://github.com/jviquerat/cnn_drag_prediction	true	true	true	tf
https://paperswithcode.com/paper/optimisation-of-wastewater-treatment	Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport	2005.09987	https://arxiv.org/abs/2005.09987v1	https://arxiv.org/pdf/2005.09987v1.pdf	https://github.com/ckjzsa/opt_wastewater_treatment_strategies	false	false	true	none
https://paperswithcode.com/paper/improving-direct-physical-properties	Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model	1712.03811	https://arxiv.org/abs/1712.03811v1	https://arxiv.org/pdf/1712.03811v1.pdf	https://github.com/DesignInformaticsLab/Morphology-Aware-Network	false	false	true	tf
https://paperswithcode.com/paper/characterizing-and-detecting-hateful-users-on	Characterizing and Detecting Hateful Users on Twitter	1803.08977	https://arxiv.org/abs/1803.08977v1	https://arxiv.org/pdf/1803.08977v1.pdf	https://github.com/PhilippeCodes/Twitter-Pronoun-Retweet-Graph-Analysis	false	false	true	none
https://paperswithcode.com/paper/pcpnet-learning-local-shape-properties-from	PCPNET: Learning Local Shape Properties from Raw Point Clouds	1710.04954	http://arxiv.org/abs/1710.04954v4	http://arxiv.org/pdf/1710.04954v4.pdf	https://github.com/ModelBunker/PointNet-TensorFlow	false	false	true	tf
https://paperswithcode.com/paper/combinatorial-superstatistics-for-soft-qcd	Combinatorial Superstatistics for Soft QCD	1910.06279	https://arxiv.org/abs/1910.06279v2	https://arxiv.org/pdf/1910.06279v2.pdf	https://github.com/mieskolainen/Diffractive-Combinatorics	false	false	true	none
https://paperswithcode.com/paper/effective-mass-of-quasiparticles-from	Effective mass of quasiparticles from thermodynamics	1704.04076	http://arxiv.org/abs/1704.04076v2	http://arxiv.org/pdf/1704.04076v2.pdf	https://github.com/fgeich/pyFTEGhf	true	true	false	none
https://paperswithcode.com/paper/federated-semi-supervised-learning-with-inter	Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning	2006.12097	https://arxiv.org/abs/2006.12097v3	https://arxiv.org/pdf/2006.12097v3.pdf	https://github.com/wyjeong/FedMatch	true	true	false	tf
https://paperswithcode.com/paper/parallel-decompression-of-gzip-compressed	Parallel decompression of gzip-compressed files and random access to DNA sequences	1905.07224	http://arxiv.org/abs/1905.07224v1	http://arxiv.org/pdf/1905.07224v1.pdf	https://github.com/Piezoid/pugz	true	true	false	none
https://paperswithcode.com/paper/coreneuron-an-optimized-compute-engine-for	CoreNEURON : An Optimized Compute Engine for the NEURON Simulator	1901.10975	http://arxiv.org/abs/1901.10975v1	http://arxiv.org/pdf/1901.10975v1.pdf	https://github.com/bluebrain/CoreNeuron	true	true	false	none
https://paperswithcode.com/paper/engineering-resilient-collective-adaptive	Engineering Resilient Collective Adaptive Systems by Self-Stabilisation	1711.08297	http://arxiv.org/abs/1711.08297v1	http://arxiv.org/pdf/1711.08297v1.pdf	https://bitbucket.org/danysk/experiment-2017-tomacs	true	true	false	none
https://paperswithcode.com/paper/emufog-extensible-and-scalable-emulation-of	EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures	1709.07563	http://arxiv.org/abs/1709.07563v1	http://arxiv.org/pdf/1709.07563v1.pdf	https://github.com/emufog/emufog	true	true	false	none
https://paperswithcode.com/paper/energy-based-comparison-between-the-fourier	Energy-based comparison between the Fourier--Galerkin method and the finite element method	1709.08477	http://arxiv.org/abs/1709.08477v2	http://arxiv.org/pdf/1709.08477v2.pdf	https://github.com/vondrejc/FFTHomPy	true	true	false	none
https://paperswithcode.com/paper/tikz-network-manual	TikZ-network manual	1709.06005	https://arxiv.org/abs/1709.06005v2	https://arxiv.org/pdf/1709.06005v2.pdf	https://github.com/hackl/network2tikz	true	true	false	none
https://paperswithcode.com/paper/algebra-based-loop-synthesis	Algebra-based Loop Synthesis	2004.11787	http://arxiv.org/abs/2004.11787v2	http://arxiv.org/pdf/2004.11787v2.pdf	https://github.com/ahumenberger/Absynth.jl	true	true	false	none
https://paperswithcode.com/paper/geobroker-leveraging-geo-contexts-for-iot	GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution	2001.01603	http://arxiv.org/abs/2001.01603v3	http://arxiv.org/pdf/2001.01603v3.pdf	https://github.com/MoeweX/GeoBroker	true	true	false	none
https://paperswithcode.com/paper/a-geometric-based-preprocessing-for-weighted	A geometric based preprocessing for weighted ray transforms with applications in SPECT	1911.05470	http://arxiv.org/abs/1911.05470v3	http://arxiv.org/pdf/1911.05470v3.pdf	https://github.com/fedor-goncharov/wrt-project	true	true	false	none
https://paperswithcode.com/paper/a-flexible-machine-learning-aware	A Flexible Machine Learning-Aware Architecture for Future WLANs	1910.03510	http://arxiv.org/abs/1910.03510v3	http://arxiv.org/pdf/1910.03510v3.pdf	https://github.com/fwilhelmi/machine_learning_aware_architecture_wlans	true	true	false	none
https://paperswithcode.com/paper/equations-in-three-singular-moduli-the-equal	Equations in three singular moduli: the equal exponent case	2105.12696	https://arxiv.org/abs/2105.12696v2	https://arxiv.org/pdf/2105.12696v2.pdf	https://github.com/guyfowler/three_singular_moduli	true	true	false	none
https://paperswithcode.com/paper/bridging-semantic-gaps-between-natural	Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding	1810.09723	http://arxiv.org/abs/1810.09723v1	http://arxiv.org/pdf/1810.09723v1.pdf	https://github.com/softw-lab/word2api	true	true	false	none
https://paperswithcode.com/paper/large-scale-cover-song-detection-in-digital	Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features	1808.10351	http://arxiv.org/abs/1808.10351v1	http://arxiv.org/pdf/1808.10351v1.pdf	https://github.com/deezer/cover_song_detection	true	true	false	none
https://paperswithcode.com/paper/information-estimation-using-nonparametric	Information estimation using nonparametric copulas	1807.08018	http://arxiv.org/abs/1807.08018v2	http://arxiv.org/pdf/1807.08018v2.pdf	https://github.com/houman1359/NPC_Info	true	true	false	none
https://paperswithcode.com/paper/semi-analytic-galaxy-evolution-sage-model	Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results	1601.04709	http://arxiv.org/abs/1601.04709v3	http://arxiv.org/pdf/1601.04709v3.pdf	https://github.com/jacobseiler/rsage	false	false	true	none
https://paperswithcode.com/paper/the-accuracy-of-semi-numerical-reionization	The accuracy of semi-numerical reionization models in comparison with radiative transfer simulations	1803.00088	http://arxiv.org/abs/1803.00088v1	http://arxiv.org/pdf/1803.00088v1.pdf	https://github.com/jacobseiler/rsage	false	false	true	none
https://paperswithcode.com/paper/disco-physics-based-unsupervised-discovery-of	DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems	1909.11822	https://arxiv.org/abs/1909.11822v1	https://arxiv.org/pdf/1909.11822v1.pdf	https://github.com/intel/daal	false	false	true	none
https://paperswithcode.com/paper/global-and-optimal-probes-for-the-top-quark	Global and optimal probes for the top-quark effective field theory at future lepton colliders	1807.02121	https://arxiv.org/abs/1807.02121v1	https://arxiv.org/pdf/1807.02121v1.pdf	https://github.com/gdurieux/optimal_observables_ee2tt2bwbw	true	true	true	none
https://paperswithcode.com/paper/an-abstract-machine-for-strong-call-by-value	An Abstract Machine for Strong Call by Value	2009.06984	http://arxiv.org/abs/2009.06984v1	http://arxiv.org/pdf/2009.06984v1.pdf	https://bitbucket.org/pl-uwr/scbv-machine	true	true	false	none
https://paperswithcode.com/paper/batching-and-matching-for-food-delivery-in	Batching and Matching for Food Delivery in Dynamic Road Networks	2008.12905	http://arxiv.org/abs/2008.12905v1	http://arxiv.org/pdf/2008.12905v1.pdf	https://github.com/idea-iitd/FoodMatch	true	true	false	none
https://paperswithcode.com/paper/strongly-coupled-heavy-and-light-quark	Strongly Coupled Heavy and Light Quark Thermal Motion from AdS/CFT	2008.09196	https://arxiv.org/abs/2008.09196v3	https://arxiv.org/pdf/2008.09196v3.pdf	https://github.com/AlexesMes/brownian-motion-of-quarks	true	true	false	none
https://paperswithcode.com/paper/stellar-streams-in-chameleon-gravity	Stellar Streams in Chameleon Gravity	2002.05738	http://arxiv.org/abs/2002.05738v1	http://arxiv.org/pdf/2002.05738v1.pdf	https://github.com/aneeshnaik/smoggy	true	true	false	none
https://paperswithcode.com/paper/cohomology-fractals	Cohomology fractals	2002.00239	http://arxiv.org/abs/2002.00239v2	http://arxiv.org/pdf/2002.00239v2.pdf	https://github.com/henryseg/cohomology_fractals	true	true	false	none
https://paperswithcode.com/paper/neural-embeddings-of-scholarly-periodicals	Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations	2001.08199	https://arxiv.org/abs/2001.08199v2	https://arxiv.org/pdf/2001.08199v2.pdf	https://github.com/haoopeng/periodicals	true	true	false	none
https://paperswithcode.com/paper/looking-for-machos-in-the-spectra-of-fast	Looking for MACHOs in the Spectra of Fast Radio Bursts	1912.07620	http://arxiv.org/abs/1912.07620v1	http://arxiv.org/pdf/1912.07620v1.pdf	https://github.com/andrey-katz/FRB_lensing	true	true	false	none
https://paperswithcode.com/paper/rtj-a-java-framework-for-detecting-and	RTj: a Java framework for detecting and refactoring rotten green test cases	1912.07322	http://arxiv.org/abs/1912.07322v1	http://arxiv.org/pdf/1912.07322v1.pdf	https://github.com/UPHF/RTj	true	true	false	none
https://paperswithcode.com/paper/gpcal-a-generalized-calibration-pipeline-for	GPCAL: a generalized calibration pipeline for instrumental polarization in VLBI data	2011.09713	http://arxiv.org/abs/2011.09713v1	http://arxiv.org/pdf/2011.09713v1.pdf	https://github.com/jhparkastro/gpcal	true	true	false	none
https://paperswithcode.com/paper/bayesian-matrix-completion-for-hypothesis	Bayesian Matrix Completion for Hypothesis Testing	2009.08405	https://arxiv.org/abs/2009.08405v6	https://arxiv.org/pdf/2009.08405v6.pdf	https://github.com/jinbora0720/BMC	true	true	false	none
https://paperswithcode.com/paper/elastica-a-compliant-mechanics-environment	Elastica: A compliant mechanics environment for soft robotic control	2009.08422	http://arxiv.org/abs/2009.08422v1	http://arxiv.org/pdf/2009.08422v1.pdf	https://github.com/GazzolaLab/PyElastica	true	true	false	none
https://paperswithcode.com/paper/predicting-cell-phone-adoption-metrics-using	Predicting cell phone adoption metrics using satellite imagery	2006.07311	https://arxiv.org/abs/2006.07311v5	https://arxiv.org/pdf/2006.07311v5.pdf	https://github.com/edwardoughton/taddle	true	true	false	pytorch
https://paperswithcode.com/paper/dgm-a-deep-learning-algorithm-for-solving	DGM: A deep learning algorithm for solving partial differential equations	1708.07469	http://arxiv.org/abs/1708.07469v5	http://arxiv.org/pdf/1708.07469v5.pdf	https://github.com/atapritchard/DPDEs	false	false	true	tf
https://paperswithcode.com/paper/qopt-an-experiment-oriented-qubit-simulation	qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package	2110.05873	https://arxiv.org/abs/2110.05873v1	https://arxiv.org/pdf/2110.05873v1.pdf	https://github.com/qutech/qopt-applications	true	true	true	none
https://paperswithcode.com/paper/mdp-homomorphic-networks-group-symmetries-in	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning	2006.16908	https://arxiv.org/abs/2006.16908v2	https://arxiv.org/pdf/2006.16908v2.pdf	https://github.com/ElisevanderPol/symmetrizer	false	false	true	pytorch
https://paperswithcode.com/paper/learning-pose-invariant-3d-object	Learning Pose-invariant 3D Object Reconstruction from Single-view Images	2004.01347	https://arxiv.org/abs/2004.01347v2	https://arxiv.org/pdf/2004.01347v2.pdf	https://github.com/bomb2peng/learn3D	true	true	true	pytorch
https://paperswithcode.com/paper/aide-annotation-efficient-deep-learning-for	Annotation-efficient deep learning for automatic medical image segmentation	2012.04885	https://arxiv.org/abs/2012.04885v3	https://arxiv.org/pdf/2012.04885v3.pdf	https://github.com/lich0031/AIDE	true	true	false	pytorch
https://paperswithcode.com/paper/simple-is-not-easy-a-simple-strong-baseline	Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps	2012.05153	https://arxiv.org/abs/2012.05153v1	https://arxiv.org/pdf/2012.05153v1.pdf	https://github.com/ZephyrZhuQi/ssbaseline	true	true	false	pytorch
https://paperswithcode.com/paper/perspectives-and-solutions-towards	Perspectives and solutions towards intelligent ambient assisted living systems	2102.13173	https://arxiv.org/abs/2102.13173v2	https://arxiv.org/pdf/2102.13173v2.pdf	https://github.com/hongsun502/AALDemo	true	true	false	none
https://paperswithcode.com/paper/active-sampling-a-machine-learning-assisted	Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples	2212.10024	https://arxiv.org/abs/2212.10024v3	https://arxiv.org/pdf/2212.10024v3.pdf	https://github.com/imbhe/activesampling	true	true	false	none
https://paperswithcode.com/paper/a-neural-rendering-framework-for-free	A Neural Rendering Framework for Free-Viewpoint Relighting	1911.11530	https://arxiv.org/abs/1911.11530v2	https://arxiv.org/pdf/1911.11530v2.pdf	https://github.com/apchenstu/mvsnerf	false	false	true	pytorch
https://paperswithcode.com/paper/the-galah-survey-a-catalogue-of-carbon	The GALAH survey: a catalogue of carbon-enhanced stars and CEMP candidates	1807.07977	http://arxiv.org/abs/1807.07977v2	http://arxiv.org/pdf/1807.07977v2.pdf	https://github.com/kcotar/GALAH-survey-Carbon-enhanced-stars	true	false	false	none
https://paperswithcode.com/paper/clustering-ensemble-meets-low-rank-tensor	Clustering Ensemble Meets Low-rank Tensor Approximation	2012.08916	https://arxiv.org/abs/2012.08916v1	https://arxiv.org/pdf/2012.08916v1.pdf	https://github.com/jyh-learning/TensorClusteringEnsemble	true	false	true	none
https://paperswithcode.com/paper/electra-pre-training-text-encoders-as-1	ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators	2003.10555	https://arxiv.org/abs/2003.10555v1	https://arxiv.org/pdf/2003.10555v1.pdf	https://github.com/MalteHB/-l-ctra	false	false	true	tf
https://paperswithcode.com/paper/rexnet-diminishing-representational	Rethinking Channel Dimensions for Efficient Model Design	2007.00992	https://arxiv.org/abs/2007.00992v3	https://arxiv.org/pdf/2007.00992v3.pdf	https://github.com/ysbsb/ReXNet-PyTorch	false	false	true	pytorch
https://paperswithcode.com/paper/pannuke-dataset-extension-insights-and	PanNuke Dataset Extension, Insights and Baselines	2003.10778	https://arxiv.org/abs/2003.10778v7	https://arxiv.org/pdf/2003.10778v7.pdf	https://github.com/vqdang/hover_net	false	false	true	tf
https://paperswithcode.com/paper/earthnet2021-a-novel-large-scale-dataset-and	EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts	2012.06246	https://arxiv.org/abs/2012.06246v1	https://arxiv.org/pdf/2012.06246v1.pdf	https://github.com/earthnet2021/earthnet-model-intercomparison-suite	false	false	true	none
https://paperswithcode.com/paper/opera-harmonizing-task-oriented-dialogs-and	OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience	2206.12449	https://arxiv.org/abs/2206.12449v1	https://arxiv.org/pdf/2206.12449v1.pdf	https://github.com/Miaoranmmm/OPERA	true	false	false	pytorch
https://paperswithcode.com/paper/two-pass-discourse-segmentation-with-pairing	Two-pass Discourse Segmentation with Pairing and Global Features	1407.8215	http://arxiv.org/abs/1407.8215v1	http://arxiv.org/pdf/1407.8215v1.pdf	https://github.com/Akanni96/feng-hirst-rst-parser	false	false	true	none
https://paperswithcode.com/paper/flow-architecture-and-benchmarking-for	Flow: A Modular Learning Framework for Mixed Autonomy Traffic	1710.05465	https://arxiv.org/abs/1710.05465v4	https://arxiv.org/pdf/1710.05465v4.pdf	https://github.com/pengyuan-zhou/Multi-agent-RL-traffic-light-control	false	false	true	none
https://paperswithcode.com/paper/ef-net-a-novel-enhancement-and-fusion-network	EF-Net: A novel enhancement and fusion network for RGB-D saliency detection	null	https://www.sciencedirect.com/science/article/abs/pii/S0031320320305434	https://www.sciencedirect.com/science/article/abs/pii/S0031320320305434	https://github.com/PPOLYpubki/EF-Net	false	false	false	pytorch
https://paperswithcode.com/paper/distilling-knowledge-from-reader-to-retriever-1	Distilling Knowledge from Reader to Retriever for Question Answering	2012.04584	https://arxiv.org/abs/2012.04584v2	https://arxiv.org/pdf/2012.04584v2.pdf	https://github.com/lucidrains/marge-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/categorization-of-two-loop-feynman-diagrams	Categorization of two-loop Feynman diagrams in the $\mathcal O(α^2)$ correction to $e^+e^- \rightarrow ZH$	2012.12513	https://arxiv.org/abs/2012.12513v2	https://arxiv.org/pdf/2012.12513v2.pdf	https://github.com/zhaoli-IHEP/eeHZ_nnloEW_diagrams	true	true	false	none
https://paperswithcode.com/paper/dynamic-object-removal-and-spatio-temporal	Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning	2008.05058	https://arxiv.org/abs/2008.05058v4	https://arxiv.org/pdf/2008.05058v4.pdf	https://github.com/robot-learning-freiburg/DynaFill	false	false	true	pytorch
https://paperswithcode.com/paper/automated-customized-bug-benchmark-generation	Automated Customized Bug-Benchmark Generation	1901.02819	https://arxiv.org/abs/1901.02819v2	https://arxiv.org/pdf/1901.02819v2.pdf	https://github.com/grammatech/sel	false	false	true	none
https://paperswithcode.com/paper/software-mutational-robustness	Software Mutational Robustness	1204.4224	https://arxiv.org/abs/1204.4224v3	https://arxiv.org/pdf/1204.4224v3.pdf	https://github.com/grammatech/sel	false	false	true	none
https://paperswithcode.com/paper/fairness-without-demographics-through	Fairness without Demographics through Adversarially Reweighted Learning	2006.13114	https://arxiv.org/abs/2006.13114v3	https://arxiv.org/pdf/2006.13114v3.pdf	https://github.com/lucweytingh/ARL-UvA	false	false	false	pytorch
https://paperswithcode.com/paper/variance-change-point-detection-with-credible	Bayesian variance change point detection with credible sets	2211.14097	https://arxiv.org/abs/2211.14097v3	https://arxiv.org/pdf/2211.14097v3.pdf	https://github.com/lorenzocapp/prisca	true	true	false	none
https://paperswithcode.com/paper/exploring-adversarial-robustness-of-deep	Exploring Adversarial Robustness of Deep Metric Learning	2102.07265	https://arxiv.org/abs/2102.07265v1	https://arxiv.org/pdf/2102.07265v1.pdf	https://github.com/anonymous-koala-supporter/adversarial-deep-metric-learning	true	true	false	pytorch
https://paperswithcode.com/paper/tag-assisted-neural-machine-translation-of	Tag Assisted Neural Machine Translation of Film Subtitles	null	https://aclanthology.org/2021.iwslt-1.30	https://aclanthology.org/2021.iwslt-1.30.pdf	https://github.com/compwiztobe/tagged-seq2seq	true	true	false	pytorch
https://paperswithcode.com/paper/keyphrase-generation-for-scientific-document-1	Keyphrase Generation for Scientific Document Retrieval	2106.14726	https://arxiv.org/abs/2106.14726v1	https://arxiv.org/pdf/2106.14726v1.pdf	https://github.com/boudinfl/ir-using-kg	true	true	false	none
https://paperswithcode.com/paper/directed-searches-for-gravitational-waves	Directed searches for gravitational waves from ultralight bosons	1810.03812	https://arxiv.org/abs/1810.03812v3	https://arxiv.org/pdf/1810.03812v3.pdf	https://github.com/maxisi/gwaxion	false	false	true	none
https://paperswithcode.com/paper/190503375	Embarrassingly Shallow Autoencoders for Sparse Data	1905.03375	https://arxiv.org/abs/1905.03375v1	https://arxiv.org/pdf/1905.03375v1.pdf	https://github.com/franckjay/TorchEASE	false	false	true	pytorch
https://paperswithcode.com/paper/pytorrent-a-python-library-corpus-for-large	PyTorrent: A Python Library Corpus for Large-scale Language Models	2110.01710	https://arxiv.org/abs/2110.01710v1	https://arxiv.org/pdf/2110.01710v1.pdf	https://github.com/fla-sil/PyTorrent	true	true	true	none
https://paperswithcode.com/paper/gravitational-wave-searches-for-ultralight	Gravitational wave searches for ultralight bosons with LIGO and LISA	1706.06311	https://arxiv.org/abs/1706.06311v2	https://arxiv.org/pdf/1706.06311v2.pdf	https://github.com/maxisi/gwaxion	false	false	true	none
https://paperswithcode.com/paper/theoretically-principled-trade-off-between	Theoretically Principled Trade-off between Robustness and Accuracy	1901.08573	https://arxiv.org/abs/1901.08573v3	https://arxiv.org/pdf/1901.08573v3.pdf	https://github.com/arobey1/advbench	false	false	true	pytorch
https://paperswithcode.com/paper/point2mesh-a-self-prior-for-deformable-meshes	Point2Mesh: A Self-Prior for Deformable Meshes	2005.11084	https://arxiv.org/abs/2005.11084v1	https://arxiv.org/pdf/2005.11084v1.pdf	https://github.com/dcharatan/point2mesh-reimplementation	false	false	false	tf
https://paperswithcode.com/paper/hyperspherical-variational-auto-encoders	Hyperspherical Variational Auto-Encoders	1804.00891	https://arxiv.org/abs/1804.00891v3	https://arxiv.org/pdf/1804.00891v3.pdf	https://github.com/nicola-decao/s-vae-tf	true	true	true	tf
https://paperswithcode.com/paper/probabilistic-safety-constraints-for-learned	Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics	1912.10116	https://arxiv.org/abs/1912.10116v3	https://arxiv.org/pdf/1912.10116v3.pdf	https://github.com/wecacuee/Bayesian_CBF	true	false	false	pytorch
https://paperswithcode.com/paper/accuracy-vs-complexity-for-mmwave-ray-tracing	Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective	2007.07125	https://arxiv.org/abs/2007.07125v1	https://arxiv.org/pdf/2007.07125v1.pdf	https://github.com/signetlabdei/qd-realization	true	false	false	none
https://paperswithcode.com/paper/control-barriers-in-bayesian-learning-of	Control Barriers in Bayesian Learning of System Dynamics	2012.14964	https://arxiv.org/abs/2012.14964v2	https://arxiv.org/pdf/2012.14964v2.pdf	https://github.com/wecacuee/Bayesian_CBF	true	true	false	pytorch
https://paperswithcode.com/paper/dsxplore-optimizing-convolutional-neural	DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions	2101.00745	https://arxiv.org/abs/2101.00745v1	https://arxiv.org/pdf/2101.00745v1.pdf	https://github.com/YukeWang96/DSXplore	true	true	true	pytorch
https://paperswithcode.com/paper/case-studies-in-network-community-detection	Case studies in network community detection	1705.02305	https://arxiv.org/abs/1705.02305v1	https://arxiv.org/pdf/1705.02305v1.pdf	https://github.com/taylordr/supracentrality	false	false	true	none
https://paperswithcode.com/paper/underwater-image-enhancement-based-on-deep	Underwater Image Enhancement based on Deep Learning and Image Formation Model	2101.00991	https://arxiv.org/abs/2101.00991v2	https://arxiv.org/pdf/2101.00991v2.pdf	https://github.com/xueleichen/PyTorch-Underwater-Image-Enhancement	true	true	true	pytorch
https://paperswithcode.com/paper/particle-swarm-based-hyper-parameter	Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials	2101.00049	https://arxiv.org/abs/2101.00049v1	https://arxiv.org/pdf/2101.00049v1.pdf	https://github.com/suresh0807/PPSO	true	true	false	none
https://paperswithcode.com/paper/bayesian-image-reconstruction-using-deep	Bayesian Image Reconstruction using Deep Generative Models	2012.04567	https://arxiv.org/abs/2012.04567v5	https://arxiv.org/pdf/2012.04567v5.pdf	https://github.com/razvanmarinescu/brgm	true	false	true	tf
https://paperswithcode.com/paper/preconditioned-training-of-normalizing-flows	Preconditioned training of normalizing flows for variational inference in inverse problems	2101.03709	https://arxiv.org/abs/2101.03709v1	https://arxiv.org/pdf/2101.03709v1.pdf	https://github.com/slimgroup/Software.siahkoohi2021AABIpto	true	true	false	none
https://paperswithcode.com/paper/rezero-is-all-you-need-fast-convergence-at	ReZero is All You Need: Fast Convergence at Large Depth	2003.04887	https://arxiv.org/abs/2003.04887v2	https://arxiv.org/pdf/2003.04887v2.pdf	https://github.com/EugenHotaj/pytorch-generative/blob/master/pytorch_generative/nn/utils.py	false	false	false	pytorch
https://paperswithcode.com/paper/few-shot-dialogue-state-tracking-using-meta	Few Shot Dialogue State Tracking using Meta-learning	2101.06779	https://arxiv.org/abs/2101.06779v3	https://arxiv.org/pdf/2101.06779v3.pdf	https://github.com/saketdingliwal/Few-Shot-DST	true	true	true	pytorch
https://paperswithcode.com/paper/an-smt-based-approach-for-verifying-binarized	An SMT-Based Approach for Verifying Binarized Neural Networks	2011.02948	https://arxiv.org/abs/2011.02948v2	https://arxiv.org/pdf/2011.02948v2.pdf	https://github.com/guyam2/BNN_Verification_Artifact	true	true	false	none
https://paperswithcode.com/paper/exploring-the-structure-of-a-real-time	Exploring the structure of a real-time, arbitrary neural artistic stylization network	1705.06830	http://arxiv.org/abs/1705.06830v2	http://arxiv.org/pdf/1705.06830v2.pdf	https://github.com/jiean001/models_m/tree/main/ArbitraryStyleTransfer	false	false	false	mindspore
https://paperswithcode.com/paper/investigation-of-a-data-split-strategy	Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning	2204.08682	https://arxiv.org/abs/2204.08682v2	https://arxiv.org/pdf/2204.08682v2.pdf	https://github.com/mizuno-group/ae_prediction	true	true	false	pytorch
https://paperswithcode.com/paper/sequence-generation-using-deep-recurrent	Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music	2012.01231	https://arxiv.org/abs/2012.01231v1	https://arxiv.org/pdf/2012.01231v1.pdf	https://github.com/sebasgverde/mono-midi-transposition-dataset	false	false	true	none
https://paperswithcode.com/paper/a-framework-to-compare-music-generative	A framework to compare music generative models using automatic evaluation metrics extended to rhythm	2101.07669	https://arxiv.org/abs/2101.07669v1	https://arxiv.org/pdf/2101.07669v1.pdf	https://github.com/sebasgverde/mono-midi-transposition-dataset	false	false	true	none
https://paperswithcode.com/paper/190503302	PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets	1905.03302	https://arxiv.org/abs/1905.03302v2	https://arxiv.org/pdf/1905.03302v2.pdf	https://github.com/kpriyadarshini/perceptNet	false	false	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.