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/ov-2-slam-a-fully-online-and-versatile-visual	OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications	2102.04060	https://arxiv.org/abs/2102.04060v1	https://arxiv.org/pdf/2102.04060v1.pdf	https://github.com/ov2slam/ov2slam	true	true	true	none
https://paperswithcode.com/paper/avatar-fixing-semantic-bugs-with-fix-patterns	AVATAR : Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations	1812.07270	http://arxiv.org/abs/1812.07270v3	http://arxiv.org/pdf/1812.07270v3.pdf	https://github.com/SerVal-Repair/AVATAR	true	true	false	none
https://paperswithcode.com/paper/general-relaxation-methods-for-initial-value	General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes	2003.03012	http://arxiv.org/abs/2003.03012v2	http://arxiv.org/pdf/2003.03012v2.pdf	https://github.com/ranocha/Relaxation-LMM-notebooks	true	true	false	none
https://paperswithcode.com/paper/fundamental-limits-from-chaos-on-instability	Fundamental limits from chaos on instability time predictions in compact planetary systems	2001.04606	http://arxiv.org/abs/2001.04606v1	http://arxiv.org/pdf/2001.04606v1.pdf	https://github.com/Naireen/StabilitySetImage	true	true	false	none
https://paperswithcode.com/paper/2103-14899	CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification	2103.14899	https://arxiv.org/abs/2103.14899v2	https://arxiv.org/pdf/2103.14899v2.pdf	https://github.com/rishikksh20/CrossViT-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/automatic-in-line-quantitative-myocardial	Automatic In-line Quantitative Myocardial Perfusion Mapping: processing algorithm and implementation	1910.07119	http://arxiv.org/abs/1910.07119v1	http://arxiv.org/pdf/1910.07119v1.pdf	https://github.com/xueh2/QPerf	true	true	false	pytorch
https://paperswithcode.com/paper/response-of-vertical-velocities-in	Response of Vertical Velocities in Extratropical Precipitation Extremes to Climate Change	1910.05644	http://arxiv.org/abs/1910.05644v2	http://arxiv.org/pdf/1910.05644v2.pdf	https://github.com/dante831/QG-omega	true	true	false	none
https://paperswithcode.com/paper/convergent-migration-renders-trappist-1-long	Convergent Migration Renders TRAPPIST-1 Long-lived	1704.02957	https://arxiv.org/abs/1704.02957v2	https://arxiv.org/pdf/1704.02957v2.pdf	https://github.com/dtamayo/trappist	true	true	true	none
https://paperswithcode.com/paper/spatial-organization-and-interactions-of	Spatial organization and interactions of harvester ants during foraging activity	1709.08343	http://arxiv.org/abs/1709.08343v1	http://arxiv.org/pdf/1709.08343v1.pdf	https://github.com/jacobdavidson/ants-spatial	true	true	false	none
https://paperswithcode.com/paper/let-s-gamble-how-a-poor-visualization-can	Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior	2010.14069	http://arxiv.org/abs/2010.14069v1	http://arxiv.org/pdf/2010.14069v1.pdf	https://github.com/washuvis/letsgamble	true	true	false	none
https://paperswithcode.com/paper/inverse-problem-for-the-yang-mills-equations	Inverse problem for the Yang-Mills equations	2005.12578	http://arxiv.org/abs/2005.12578v1	http://arxiv.org/pdf/2005.12578v1.pdf	https://github.com/l-oksanen/CLOP2020	true	true	true	none
https://paperswithcode.com/paper/repairing-and-mechanising-the-javascript	Repairing and Mechanising the JavaScript Relaxed Memory Model	2005.10554	http://arxiv.org/abs/2005.10554v2	http://arxiv.org/pdf/2005.10554v2.pdf	https://github.com/conrad-watt/repairing-and-mechanising-the-javascript-relaxed-memory-model	true	true	false	none
https://paperswithcode.com/paper/automated-essay-scoring-using-transformer	Automated Essay Scoring Using Transformer Models	2110.06874	https://arxiv.org/abs/2110.06874v1	https://arxiv.org/pdf/2110.06874v1.pdf	https://github.com/lucaoffice/publications	true	true	false	tf
https://paperswithcode.com/paper/crafty-efficient-htm-compatible-persistent	Crafty: Efficient, HTM-Compatible Persistent Transactions	2004.00262	http://arxiv.org/abs/2004.00262v3	http://arxiv.org/pdf/2004.00262v3.pdf	https://github.com/PLaSSticity/Crafty	true	true	false	none
https://paperswithcode.com/paper/benchmarking-software-model-checkers-on	Benchmarking Software Model Checkers on Automotive Code	2003.11689	http://arxiv.org/abs/2003.11689v1	http://arxiv.org/pdf/2003.11689v1.pdf	https://github.com/lu-w/benchmarking-verifiers-for-automotive	true	true	false	none
https://paperswithcode.com/paper/summarizing-diverging-string-sequences-with	Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions	2004.08993	http://arxiv.org/abs/2004.08993v1	http://arxiv.org/pdf/2004.08993v1.pdf	https://github.com/tomlinsonk/diverging-string-seqs	true	true	false	none
https://paperswithcode.com/paper/an-open-catalog-for-supernova-data	An Open Catalog for Supernova Data	1605.01054	https://arxiv.org/abs/1605.01054v2	https://arxiv.org/pdf/1605.01054v2.pdf	https://github.com/astrocatalogs/sne-external-xray	true	true	false	none
https://paperswithcode.com/paper/estimating-the-number-of-casualties-in-the	Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution	1710.01662	https://arxiv.org/abs/1710.01662v1	https://arxiv.org/pdf/1710.01662v1.pdf	https://github.com/csgillespie/plbayes	true	true	true	none
https://paperswithcode.com/paper/coordinated-container-migration-and-base	Coordinated Container Migration and Base Station Handover in Mobile Edge Computing	2009.05682	http://arxiv.org/abs/2009.05682v1	http://arxiv.org/pdf/2009.05682v1.pdf	https://gitlab.com/ngovanmao/edgeapps	true	true	true	none
https://paperswithcode.com/paper/lightchain-a-dht-based-blockchain-for	LightChain: A DHT-based Blockchain for Resource Constrained Environments	1904.00375	https://arxiv.org/abs/1904.00375v2	https://arxiv.org/pdf/1904.00375v2.pdf	https://github.com/yhassanzadeh13/lightchain-container	false	false	true	none
https://paperswithcode.com/paper/qed-at-nnlo-with-mcmule	QED at NNLO with McMule	2007.01654	http://arxiv.org/abs/2007.01654v2	http://arxiv.org/pdf/2007.01654v2.pdf	https://gitlab.com/mule-tools/manual	true	true	true	none
https://paperswithcode.com/paper/joint-subgraph-to-subgraph-transitions	Joint Subgraph-to-Subgraph Transitions -- Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling	2009.06770	https://arxiv.org/abs/2009.06770v4	https://arxiv.org/pdf/2009.06770v4.pdf	https://github.com/SST-Author/Subgraph-Subgraph-Transitions	true	true	true	tf
https://paperswithcode.com/paper/deep-siamese-multi-scale-convolutional	Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks	1906.11479	https://arxiv.org/abs/1906.11479v2	https://arxiv.org/pdf/1906.11479v2.pdf	https://github.com/I-Hope-Peace/ChangeDetectionRepository	false	false	true	tf
https://paperswithcode.com/paper/unsupervised-change-detection-in-multi	Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network	1912.08628	https://arxiv.org/abs/1912.08628v1	https://arxiv.org/pdf/1912.08628v1.pdf	https://github.com/I-Hope-Peace/ChangeDetectionRepository	false	false	true	tf
https://paperswithcode.com/paper/openbezoar-small-cost-effective-and-open	OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data	2404.12195	https://arxiv.org/abs/2404.12195v1	https://arxiv.org/pdf/2404.12195v1.pdf	https://bitbucket.org/paladinanalytics/qlora-finetuning	true	true	false	pytorch
https://paperswithcode.com/paper/effective-cascade-dual-decoder-model-for	A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction	2106.14163	https://arxiv.org/abs/2106.14163v2	https://arxiv.org/pdf/2106.14163v2.pdf	https://github.com/prastunlp/DualDec	true	true	false	pytorch
https://paperswithcode.com/paper/braille-to-text-translation-for-bengali	Braille to Text Translation for Bengali Language: A Geometric Approach	2012.01494	https://arxiv.org/abs/2012.01494v1	https://arxiv.org/pdf/2012.01494v1.pdf	https://github.com/MinhasKamal/BrailleToTextTranslator	true	false	true	none
https://paperswithcode.com/paper/interactive-medical-image-segmentation-via	Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning	1804.10481	http://arxiv.org/abs/1804.10481v2	http://arxiv.org/pdf/1804.10481v2.pdf	https://github.com/sunalbert/Sequential-patch-based-segmentation	true	true	false	pytorch
https://paperswithcode.com/paper/stellar-population-inference-with-prospector	Stellar Population Inference with Prospector	2012.01426	https://arxiv.org/abs/2012.01426v1	https://arxiv.org/pdf/2012.01426v1.pdf	https://github.com/bd-j/exspect	true	true	true	none
https://paperswithcode.com/paper/a-parametric-level-set-method-for-partially	A parametric level-set method for partially discrete tomography	1704.00568	https://arxiv.org/abs/1704.00568v1	https://arxiv.org/pdf/1704.00568v1.pdf	https://github.com/ajinkyakadu/PartiallyDiscreteTomo	true	false	true	none
https://paperswithcode.com/paper/bayesian-semiparametric-modelling-of-phase	Bayesian semiparametric modelling of phase-varying point processes	1812.09607	http://arxiv.org/abs/1812.09607v1	http://arxiv.org/pdf/1812.09607v1.pdf	https://github.com/bgalasso/Rmpp	true	false	false	none
https://paperswithcode.com/paper/improving-model-calibration-with-accuracy-1	Improving model calibration with accuracy versus uncertainty optimization	2012.07923	https://arxiv.org/abs/2012.07923v1	https://arxiv.org/pdf/2012.07923v1.pdf	https://github.com/IntelLabs/AVUC	true	true	false	pytorch
https://paperswithcode.com/paper/self-supervised-6d-object-pose-estimation-for	Self-supervised 6D Object Pose Estimation for Robot Manipulation	1909.10159	https://arxiv.org/abs/1909.10159v1	https://arxiv.org/pdf/1909.10159v1.pdf	https://github.com/NVlabs/PoseCNN-PyTorch	false	false	true	pytorch
https://paperswithcode.com/paper/esprit-explaining-solutions-to-physical	ESPRIT: Explaining Solutions to Physical Reasoning Tasks	2005.00730	https://arxiv.org/abs/2005.00730v2	https://arxiv.org/pdf/2005.00730v2.pdf	https://github.com/facebookresearch/phyre	false	false	true	none
https://paperswithcode.com/paper/solving-physics-puzzles-by-reasoning-about	Solving Physics Puzzles by Reasoning about Paths	2011.07357	https://arxiv.org/abs/2011.07357v1	https://arxiv.org/pdf/2011.07357v1.pdf	https://github.com/facebookresearch/phyre	false	false	true	none
https://paperswithcode.com/paper/sequential-estimation-of-nonparametric	Sequential estimation of Spearman rank correlation using Hermite series estimators	2012.06287	https://arxiv.org/abs/2012.06287v2	https://arxiv.org/pdf/2012.06287v2.pdf	https://github.com/MikeJaredS/hermiter	true	false	true	none
https://paperswithcode.com/paper/closed-form-factorization-of-latent-semantics	Closed-Form Factorization of Latent Semantics in GANs	2007.06600	https://arxiv.org/abs/2007.06600v4	https://arxiv.org/pdf/2007.06600v4.pdf	https://github.com/dkn16/stylegan2-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/deep-cuboid-detection-beyond-2d-bounding	Deep Cuboid Detection: Beyond 2D Bounding Boxes	1611.10010	http://arxiv.org/abs/1611.10010v1	http://arxiv.org/pdf/1611.10010v1.pdf	https://github.com/rubenve95/Deep-Cuboid-Detection	false	false	true	pytorch
https://paperswithcode.com/paper/covidhealth-a-benchmark-twitter-dataset-and	COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions	2402.09897	https://arxiv.org/abs/2402.09897v1	https://arxiv.org/pdf/2402.09897v1.pdf	https://github.com/bishal16/covid19-health-related-data-classification-website	true	true	false	none
https://paperswithcode.com/paper/posecnn-a-convolutional-neural-network-for-6d	PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes	1711.00199	http://arxiv.org/abs/1711.00199v3	http://arxiv.org/pdf/1711.00199v3.pdf	https://github.com/NVlabs/PoseCNN-PyTorch	false	false	true	pytorch
https://paperswithcode.com/paper/dialogxl-all-in-one-xlnet-for-multi-party	DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition	2012.08695	https://arxiv.org/abs/2012.08695v1	https://arxiv.org/pdf/2012.08695v1.pdf	https://github.com/shenwzh3/DialogXL	true	true	false	pytorch
https://paperswithcode.com/paper/representation-free-model-predictive-control	Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds	2012.10002	https://arxiv.org/abs/2012.10002v1	https://arxiv.org/pdf/2012.10002v1.pdf	https://github.com/YanranDing/RF-MPC	true	false	true	none
https://paperswithcode.com/paper/an-underwater-slam-system-using-sonar-visual	An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor	1810.03200	http://arxiv.org/abs/1810.03200v2	http://arxiv.org/pdf/1810.03200v2.pdf	https://github.com/sharminrahman/SVIn2	true	false	false	tf
https://paperswithcode.com/paper/gamma-models-generative-temporal-difference	Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction	null	http://proceedings.neurips.cc/paper/2020/hash/12ffb0968f2f56e51a59a6beb37b2859-Abstract.html	http://proceedings.neurips.cc/paper/2020/file/12ffb0968f2f56e51a59a6beb37b2859-Paper.pdf	https://github.com/JannerM/gamma-models	true	false	false	pytorch
https://paperswithcode.com/paper/g-models-generative-temporal-difference	Generative Temporal Difference Learning for Infinite-Horizon Prediction	2010.14496	https://arxiv.org/abs/2010.14496v4	https://arxiv.org/pdf/2010.14496v4.pdf	https://github.com/JannerM/gamma-models	true	false	true	pytorch
https://paperswithcode.com/paper/information-diffusion-prediction-with-latent	Information Diffusion Prediction with Latent Factor Disentanglement	2012.08828	https://arxiv.org/abs/2012.08828v1	https://arxiv.org/pdf/2012.08828v1.pdf	https://github.com/buptwhr/SIDDA	false	false	true	none
https://paperswithcode.com/paper/social-nce-contrastive-learning-of-socially	Social NCE: Contrastive Learning of Socially-aware Motion Representations	2012.11717	https://arxiv.org/abs/2012.11717v3	https://arxiv.org/pdf/2012.11717v3.pdf	https://github.com/vita-epfl/social-nce	true	true	true	pytorch
https://paperswithcode.com/paper/smelli-the-smeft-likelihood	smelli -- the SMEFT Likelihood	2012.12211	https://arxiv.org/abs/2012.12211v1	https://arxiv.org/pdf/2012.12211v1.pdf	https://github.com/smelli/smelli	true	true	false	none
https://paperswithcode.com/paper/generating-scientific-question-answering	Generating Biomedical Question Answering Corpora from Q&A forums	2002.02375	https://arxiv.org/abs/2002.02375v2	https://arxiv.org/pdf/2002.02375v2.pdf	https://github.com/lasigeBioTM/BiQA	true	true	false	none
https://paperswithcode.com/paper/unbiased-monte-carlo-cluster-updates-with	Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks	2105.05650	https://arxiv.org/abs/2105.05650v3	https://arxiv.org/pdf/2105.05650v3.pdf	https://github.com/wdphy16/neural-cluster-update	true	true	true	jax
https://paperswithcode.com/paper/deep3d-fully-automatic-2d-to-3d-video	Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks	1604.03650	http://arxiv.org/abs/1604.03650v1	http://arxiv.org/pdf/1604.03650v1.pdf	https://github.com/piiswrong/deep3d	true	true	false	mxnet
https://paperswithcode.com/paper/qvmix-and-qvmix-max-extending-the-deep	QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning	2012.12062	https://arxiv.org/abs/2012.12062v1	https://arxiv.org/pdf/2012.12062v1.pdf	https://github.com/PaLeroy/QVMix	true	true	false	pytorch
https://paperswithcode.com/paper/an-image-is-worth-16x16-words-transformers-1	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2010.11929	https://arxiv.org/abs/2010.11929v2	https://arxiv.org/pdf/2010.11929v2.pdf	https://github.com/UdbhavPrasad072300/Transformer-Implementations	false	false	true	pytorch
https://paperswithcode.com/paper/assimilation-of-disparate-data-for-enhanced	Assimilation of disparate data for enhanced reconstruction of turbulent mean flows	2103.14923	https://arxiv.org/abs/2103.14923v1	https://arxiv.org/pdf/2103.14923v1.pdf	https://github.com/xiaoh/DAFI	true	true	false	none
https://paperswithcode.com/paper/boarding-house-renting-price-prediction-using	Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps	2101.02033	https://arxiv.org/abs/2101.02033v1	https://arxiv.org/pdf/2101.02033v1.pdf	https://github.com/unofficial-stars/GetKos	true	false	false	none
https://paperswithcode.com/paper/variational-deep-embedding-an-unsupervised	Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering	1611.05148	http://arxiv.org/abs/1611.05148v3	http://arxiv.org/pdf/1611.05148v3.pdf	https://github.com/mori97/VaDE	false	false	true	pytorch
https://paperswithcode.com/paper/semi-supervised-semantic-segmentation-via	DMT: Dynamic Mutual Training for Semi-Supervised Learning	2004.08514	https://arxiv.org/abs/2004.08514v4	https://arxiv.org/pdf/2004.08514v4.pdf	https://github.com/voldemortX/DST-CBC	true	true	true	pytorch
https://paperswithcode.com/paper/tabnet-attentive-interpretable-tabular	TabNet: Attentive Interpretable Tabular Learning	1908.07442	https://arxiv.org/abs/1908.07442v5	https://arxiv.org/pdf/1908.07442v5.pdf	https://github.com/danleiQ/Mechanisms-of-Action-Classification	false	false	true	pytorch
https://paperswithcode.com/paper/co-clustering-vertices-and-hyperedges-via	Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning	2102.10169	https://arxiv.org/abs/2102.10169v1	https://arxiv.org/pdf/2102.10169v1.pdf	https://github.com/yuzhu2019/hypergraph_cocluster	true	true	false	none
https://paperswithcode.com/paper/3d-anas-3d-asymmetric-neural-architecture	3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification	2101.04287	https://arxiv.org/abs/2101.04287v1	https://arxiv.org/pdf/2101.04287v1.pdf	https://github.com/hkzhang91/3D-ANAS	true	true	false	none
https://paperswithcode.com/paper/investigating-entity-knowledge-in-bert-with-1	Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking	2003.05473	https://arxiv.org/abs/2003.05473v1	https://arxiv.org/pdf/2003.05473v1.pdf	https://github.com/samuelbroscheit/entity_knowledge_in_bert	true	false	true	pytorch
https://paperswithcode.com/paper/neural-based-modeling-for-performance-tuning	Neural-based Modeling for Performance Tuning of Spark Data Analytics	2101.08167	https://arxiv.org/abs/2101.08167v1	https://arxiv.org/pdf/2101.08167v1.pdf	https://github.com/udao-modeling/code	true	true	false	tf
https://paperswithcode.com/paper/alignment-of-the-straw-tracking-detectors-for	Alignment of the straw tracking detectors for the Fermilab Muon $g-2$ experiment and systematic studies for a muon electric dipole moment measurement	2012.00509	https://arxiv.org/abs/2012.00509v1	https://arxiv.org/pdf/2012.00509v1.pdf	https://github.com/glukicov/alignTrack	true	true	false	none
https://paperswithcode.com/paper/meta-in-context-learning-in-large-language	Meta-in-context learning in large language models	2305.12907	https://arxiv.org/abs/2305.12907v1	https://arxiv.org/pdf/2305.12907v1.pdf	https://github.com/juliancodaforno/meta-in-context-learning	true	false	false	pytorch
https://paperswithcode.com/paper/deepra-predicting-joint-damage-from	DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention	2102.06982	https://arxiv.org/abs/2102.06982v2	https://arxiv.org/pdf/2102.06982v2.pdf	https://github.com/NC717/DeepRA	true	true	false	tf
https://paperswithcode.com/paper/scalable-multi-hop-relational-reasoning-for	Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering	2005.00646	https://arxiv.org/abs/2005.00646v2	https://arxiv.org/pdf/2005.00646v2.pdf	https://github.com/INK-USC/MHGRN	true	true	true	pytorch
https://paperswithcode.com/paper/online-influence-maximization-under-1	Online Influence Maximization under Decreasing Cascade Model	2305.15428	https://arxiv.org/abs/2305.15428v1	https://arxiv.org/pdf/2305.15428v1.pdf	https://github.com/fangkongx/oim-dc	true	true	false	none
https://paperswithcode.com/paper/rotate-knowledge-graph-embedding-by	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	1902.10197	http://arxiv.org/abs/1902.10197v1	http://arxiv.org/pdf/1902.10197v1.pdf	https://github.com/jiean001/models_m/tree/main/rotate	false	false	false	mindspore
https://paperswithcode.com/paper/transformer-xl-attentive-language-models	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context	1901.02860	https://arxiv.org/abs/1901.02860v3	https://arxiv.org/pdf/1901.02860v3.pdf	https://github.com/jiean001/models_m/tree/main/transformer_xl	false	false	false	mindspore
https://paperswithcode.com/paper/boundary-attributions-provide-normal-vector	Robust Models Are More Interpretable Because Attributions Look Normal	2103.11257	https://arxiv.org/abs/2103.11257v3	https://arxiv.org/pdf/2103.11257v3.pdf	https://github.com/zifanw/boundary	true	true	true	pytorch
https://paperswithcode.com/paper/reducing-bias-in-modeling-real-world-password	Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries	2010.12269	https://arxiv.org/abs/2010.12269v5	https://arxiv.org/pdf/2010.12269v5.pdf	https://github.com/TheAdamProject/adams	true	true	true	tf
https://paperswithcode.com/paper/rethinking-the-inception-architecture-for	Rethinking the Inception Architecture for Computer Vision	1512.00567	http://arxiv.org/abs/1512.00567v3	http://arxiv.org/pdf/1512.00567v3.pdf	https://github.com/paperswithcode/model-index	false	false	true	pytorch
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/paperswithcode/model-index	false	false	true	pytorch
https://paperswithcode.com/paper/pointmask-towards-interpretable-and-bias	PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing	2007.04525	https://arxiv.org/abs/2007.04525v1	https://arxiv.org/pdf/2007.04525v1.pdf	https://github.com/asgsaeid/PointMask	true	false	true	none
https://paperswithcode.com/paper/addressing-distributional-shifts-in	Addressing distributional shifts in operations management: The case of order fulfillment in customized production	2304.11910	https://arxiv.org/abs/2304.11910v1	https://arxiv.org/pdf/2304.11910v1.pdf	https://github.com/mkuzma96/customprod	true	true	false	tf
https://paperswithcode.com/paper/reachability-based-trajectory-safeguard-rts-a	Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control	2011.08421	https://arxiv.org/abs/2011.08421v3	https://arxiv.org/pdf/2011.08421v3.pdf	https://github.com/roahmlab/reachability-based_trajectory_safeguard	true	true	true	none
https://paperswithcode.com/paper/bayesian-compression-for-natural-language	Bayesian Compression for Natural Language Processing	1810.10927	http://arxiv.org/abs/1810.10927v2	http://arxiv.org/pdf/1810.10927v2.pdf	https://github.com/ars-ashuha/variational-dropout-sparsifies-dnn	false	false	true	tf
https://paperswithcode.com/paper/revizor-fuzzing-for-leaks-in-black-box-cpus	Revizor: Testing Black-box CPUs against Speculation Contracts	2105.06872	https://arxiv.org/abs/2105.06872v3	https://arxiv.org/pdf/2105.06872v3.pdf	https://github.com/hw-sw-contracts/revizor-artifact	true	true	false	none
https://paperswithcode.com/paper/multivariate-time-series-imputation-by-graph	Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks	2108.00298	https://arxiv.org/abs/2108.00298v3	https://arxiv.org/pdf/2108.00298v3.pdf	https://github.com/torchspatiotemporal/tsl	false	false	false	pytorch
https://paperswithcode.com/paper/fast-and-scalable-non-parametric-bayesian	Fast and scalable non-parametric Bayesian inference for Poisson point processes	1804.03616	http://arxiv.org/abs/1804.03616v2	http://arxiv.org/pdf/1804.03616v2.pdf	https://github.com/mschauer/PointProcessInference.jl	true	false	true	none
https://paperswithcode.com/paper/keywords-guided-method-name-generation	Keywords Guided Method Name Generation	2103.11118	https://arxiv.org/abs/2103.11118v1	https://arxiv.org/pdf/2103.11118v1.pdf	https://github.com/css518/Keywords-Guided-Method-Name-Generation	true	true	false	tf
https://paperswithcode.com/paper/alternating-cyclic-extrapolation-methods-for	Alternating cyclic extrapolation methods for optimization algorithms	2104.04974	https://arxiv.org/abs/2104.04974v2	https://arxiv.org/pdf/2104.04974v2.pdf	https://github.com/NicolasL-S/SpeedMapping.jl	false	false	true	none
https://paperswithcode.com/paper/constructive-tt-representation-of-the-tensors	Constructive TT-representation of the tensors given as index interaction functions with applications	2206.03832	https://arxiv.org/abs/2206.03832v2	https://arxiv.org/pdf/2206.03832v2.pdf	https://github.com/g-ryzhakov/constructive-tt	true	true	false	none
https://paperswithcode.com/paper/vqgan-clip-open-domain-image-generation-and	VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance	2204.08583	https://arxiv.org/abs/2204.08583v2	https://arxiv.org/pdf/2204.08583v2.pdf	https://github.com/eleutherai/vqgan-clip	true	true	false	pytorch
https://paperswithcode.com/paper/adversarial-reciprocal-points-learning-for	Adversarial Reciprocal Points Learning for Open Set Recognition	2103.00953	https://arxiv.org/abs/2103.00953v3	https://arxiv.org/pdf/2103.00953v3.pdf	https://github.com/iCGY96/ARPL	true	true	true	pytorch
https://paperswithcode.com/paper/res2net-a-new-multi-scale-backbone	Res2Net: A New Multi-scale Backbone Architecture	1904.01169	https://arxiv.org/abs/1904.01169v3	https://arxiv.org/pdf/1904.01169v3.pdf	https://github.com/zhuhongwei1999/bsa-net	false	false	true	pytorch
https://paperswithcode.com/paper/networkdynamics-jl-composing-and-simulating	NetworkDynamics.jl -- Composing and simulating complex networks in Julia	2012.12696	https://arxiv.org/abs/2012.12696v3	https://arxiv.org/pdf/2012.12696v3.pdf	https://github.com/PIK-ICoNe/NetworkDynamics.jl	true	true	true	none
https://paperswithcode.com/paper/effective-deep-learning-for-semantic	Effective Deep Learning for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images	null	https://ieeexplore.ieee.org/abstract/document/8451300	https://www.researchgate.net/profile/Tonmoy-Ghosh/publication/327995579_Effective_Deep_Learning_for_Semantic_Segmentation_Based_Bleeding_Zone_Detection_in_Capsule_Endoscopy_Images/links/5d6e843445851542789f2f72/Effective-Deep-Learning-for-Semantic-Segmentation-Based-Bleeding-Zone-Detection-in-Capsule-Endoscopy-Images.pdf	https://github.com/Tonmoy-Ghosh/Semantic-Segmentation-Based-Bleeding-Zone-Detection	false	false	false	none
https://paperswithcode.com/paper/moment-based-adversarial-training-for	Moment-based Adversarial Training for Embodied Language Comprehension	2204.00889	https://arxiv.org/abs/2204.00889v1	https://arxiv.org/pdf/2204.00889v1.pdf	https://github.com/keio-smilab23/dialmat	false	false	true	pytorch
https://paperswithcode.com/paper/chat-vector-a-simple-approach-to-equip-llms	Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages	2310.04799	https://arxiv.org/abs/2310.04799v3	https://arxiv.org/pdf/2310.04799v3.pdf	https://github.com/aqweteddy/ChatVector	false	false	true	pytorch
https://paperswithcode.com/paper/all-you-need-is-dag	All You Need is DAG	2102.08325	https://arxiv.org/abs/2102.08325v2	https://arxiv.org/pdf/2102.08325v2.pdf	https://github.com/asonnino/narwhal	false	false	true	none
https://paperswithcode.com/paper/off-policy-deep-reinforcement-learning	Off-Policy Deep Reinforcement Learning without Exploration	1812.02900	https://arxiv.org/abs/1812.02900v3	https://arxiv.org/pdf/1812.02900v3.pdf	https://github.com/HzcIrving/DLRL-PlayGround/tree/main/Offline%20RL/BCQ	false	false	false	pytorch
https://paperswithcode.com/paper/rindnet-edge-detection-for-discontinuity-in	RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth	2108.00616	https://arxiv.org/abs/2108.00616v1	https://arxiv.org/pdf/2108.00616v1.pdf	https://github.com/MengyangPu/RINDNet	true	true	true	pytorch
https://paperswithcode.com/paper/learning-from-correctness-without-prompting	Learning From Correctness Without Prompting Makes LLM Efficient Reasoner	2403.19094	https://arxiv.org/abs/2403.19094v2	https://arxiv.org/pdf/2403.19094v2.pdf	https://github.com/starrYYxuan/LeCo	true	true	true	none
https://paperswithcode.com/paper/performance-optimization-of-convolution	Accelerating convolutional neural network by exploiting sparsity on GPUs	1909.09927	https://arxiv.org/abs/1909.09927v6	https://arxiv.org/pdf/1909.09927v6.pdf	https://github.com/eymay/OCPA	false	false	false	none
https://paperswithcode.com/paper/segmenter-transformer-for-semantic	Segmenter: Transformer for Semantic Segmentation	2105.05633	https://arxiv.org/abs/2105.05633v3	https://arxiv.org/pdf/2105.05633v3.pdf	https://github.com/isaaccorley/segmenter-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/normalized-loss-functions-for-deep-learning	Normalized Loss Functions for Deep Learning with Noisy Labels	2006.13554	https://arxiv.org/abs/2006.13554v1	https://arxiv.org/pdf/2006.13554v1.pdf	https://github.com/XinshaoAmosWang/Emphasis-Regularisation-by-Gradient-Rescaling	false	false	true	none
https://paperswithcode.com/paper/real-time-grasp-detection-using-convolutional	Real-Time Grasp Detection Using Convolutional Neural Networks	1412.3128	http://arxiv.org/abs/1412.3128v2	http://arxiv.org/pdf/1412.3128v2.pdf	https://github.com/DucTranVan/grasp-detection-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/bayesian-mechanics-for-stationary-processes	Bayesian Mechanics for Stationary Processes	2106.13830	https://arxiv.org/abs/2106.13830v3	https://arxiv.org/pdf/2106.13830v3.pdf	https://github.com/conorheins/bayesian-mechanics-sdes	true	true	true	jax
https://paperswithcode.com/paper/unsupervised-domain-expansion-for-visual	Unsupervised Domain Expansion for Visual Categorization	2104.00233	https://arxiv.org/abs/2104.00233v1	https://arxiv.org/pdf/2104.00233v1.pdf	https://github.com/li-xirong/ude	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.