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/interest-aware-message-passing-gcn-for	Interest-aware Message-Passing GCN for Recommendation	2102.10044	https://arxiv.org/abs/2102.10044v2	https://arxiv.org/pdf/2102.10044v2.pdf	https://github.com/liufancs/IMP_GCN	true	true	true	tf
https://paperswithcode.com/paper/robust-single-rotation-averaging	Robust Single Rotation Averaging	2004.00732	https://arxiv.org/abs/2004.00732v4	https://arxiv.org/pdf/2004.00732v4.pdf	https://github.com/sunghoon031/RobustSingleRotationAveraging	true	false	true	none
https://paperswithcode.com/paper/open-heterogeneous-data-for-condition	Open Heterogeneous Data for Condition Monitoring of Multi Faults in Rotating Machines Used in Different Operating Conditions	null	https://doi.org/10.36001/ijphm.2023.v14i2.3497	https://doi.org/10.36001/ijphm.2023.v14i2.3497	https://github.com/khaledbenag/machinery	false	false	false	none
https://paperswithcode.com/paper/spinart-a-spin-based-verifier-for-artifact	SpinArt: A Spin-based Verifier for Artifact Systems	1705.09427	http://arxiv.org/abs/1705.09427v3	http://arxiv.org/pdf/1705.09427v3.pdf	https://github.com/oi02lyl/has-verifier	false	false	true	none
https://paperswithcode.com/paper/verifas-a-practical-verifier-for-artifact	VERIFAS: A Practical Verifier for Artifact Systems	1705.10007	http://arxiv.org/abs/1705.10007v3	http://arxiv.org/pdf/1705.10007v3.pdf	https://github.com/oi02lyl/has-verifier	false	false	true	none
https://paperswithcode.com/paper/place-recognition-in-forests-with-urquhart	Place Recognition in Forests with Urquhart Tessellations	2010.03026	https://arxiv.org/abs/2010.03026v2	https://arxiv.org/pdf/2010.03026v2.pdf	https://github.com/gnardari/urquhart	true	false	true	none
https://paperswithcode.com/paper/multi-timescale-memory-dynamics-in-a	Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory	1712.10062	http://arxiv.org/abs/1712.10062v1	http://arxiv.org/pdf/1712.10062v1.pdf	https://github.com/martin592/hybrid_AuGMEnT	true	true	true	none
https://paperswithcode.com/paper/understanding-the-lomb-scargle-periodogram	Understanding the Lomb-Scargle Periodogram	1703.09824	https://arxiv.org/abs/1703.09824v1	https://arxiv.org/pdf/1703.09824v1.pdf	https://github.com/jakevdp/PracticalLombScargle	true	true	true	none
https://paperswithcode.com/paper/deep-pyramidal-residual-networks	Deep Pyramidal Residual Networks	1610.02915	http://arxiv.org/abs/1610.02915v4	http://arxiv.org/pdf/1610.02915v4.pdf	https://github.com/epfl-ml-reproducers/subspace-attack-reproduction	false	false	true	pytorch
https://paperswithcode.com/paper/parton-labeling-without-matching-unveiling	Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models	2304.09208	https://arxiv.org/abs/2304.09208v2	https://arxiv.org/pdf/2304.09208v2.pdf	https://github.com/hep-lbdl/covariant-particle-transformer	true	true	false	pytorch
https://paperswithcode.com/paper/biomedical-and-clinical-english-model	Biomedical and Clinical English Model Packages in the Stanza Python NLP Library	2007.14640	https://arxiv.org/abs/2007.14640v1	https://arxiv.org/pdf/2007.14640v1.pdf	https://github.com/napakalas/NLIMED	false	false	true	tf
https://paperswithcode.com/paper/provably-good-batch-reinforcement-learning	Provably Good Batch Reinforcement Learning Without Great Exploration	2007.08202	https://arxiv.org/abs/2007.08202v2	https://arxiv.org/pdf/2007.08202v2.pdf	https://github.com/yaoliucs/PQL	false	false	true	pytorch
https://paperswithcode.com/paper/scalable-comparative-visualization-of	Scalable Comparative Visualization of Ensembles of Call Graphs	2007.01395	https://arxiv.org/abs/2007.01395v1	https://arxiv.org/pdf/2007.01395v1.pdf	https://github.com/LLNL/CallFlow	false	false	true	none
https://paperswithcode.com/paper/fast-and-robust-comparison-of-probability	Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces	2002.01615	https://arxiv.org/abs/2002.01615v3	https://arxiv.org/pdf/2002.01615v3.pdf	https://github.com/joisino/anchor-energy	true	true	true	pytorch
https://paperswithcode.com/paper/a-neural-algorithm-of-artistic-style	A Neural Algorithm of Artistic Style	1508.06576	http://arxiv.org/abs/1508.06576v2	http://arxiv.org/pdf/1508.06576v2.pdf	https://github.com/sandeepmukh/pigcasso-electron	false	false	true	tf
https://paperswithcode.com/paper/closing-the-loop-fast-interactive-semi	Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances	null	https://aclanthology.org/D11-1136/	https://aclanthology.org/D11-1136.pdf	https://github.com/burrsettles/dualist	false	false	false	none
https://paperswithcode.com/paper/behavioral-factors-in-interactive-training-of	Behavioral Factors in Interactive Training of Text Classifiers	null	https://aclanthology.info/papers/N12-1066/n12-1066	https://www.aclweb.org/anthology/N12-1066v2	https://github.com/burrsettles/dualist	true	false	false	none
https://paperswithcode.com/paper/simultaneous-translation-and-paraphrase-for	Simultaneous Translation and Paraphrase for Language Education	null	https://aclanthology.org/2020.ngt-1.28	https://aclanthology.org/2020.ngt-1.28.pdf	https://github.com/duolingo/duolingo-sharedtask-2020	true	false	false	pytorch
https://paperswithcode.com/paper/selective-inference-after-likelihood-or-test	Selective inference after likelihood- or test-based model selection in linear models	1706.09796	http://arxiv.org/abs/1706.09796v3	http://arxiv.org/pdf/1706.09796v3.pdf	https://github.com/davidruegamer/coinflibs	true	true	true	none
https://paperswithcode.com/paper/lcsk-practical-similarity-metric-for-long	$LCSk$++: Practical similarity metric for long strings	1407.2407	https://arxiv.org/abs/1407.2407v1	https://arxiv.org/pdf/1407.2407v1.pdf	https://github.com/fpavetic/lcskpp	false	false	true	none
https://paperswithcode.com/paper/analyzing-2-3-million-maven-dependencies-to	API Beauty is in the eye of the Clients: 2.2 Million Maven Dependencies reveal the Spectrum of Client-API Usages	1908.09757	https://arxiv.org/abs/1908.09757v2	https://arxiv.org/pdf/1908.09757v2.pdf	https://github.com/castor-software/core-83	true	true	true	none
https://paperswithcode.com/paper/solc-verify-a-modular-verifier-for-solidity	solc-verify: A Modular Verifier for Solidity Smart Contracts	1907.04262	http://arxiv.org/abs/1907.04262v2	http://arxiv.org/pdf/1907.04262v2.pdf	https://github.com/SRI-CSL/solidity	true	true	true	none
https://paperswithcode.com/paper/jumping-var-order-statistics-volatility	Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling	1803.07021	http://arxiv.org/abs/1803.07021v2	http://arxiv.org/pdf/1803.07021v2.pdf	https://github.com/sigmaquadro/VolatilityEstimator	true	true	true	none
https://paperswithcode.com/paper/mqtt-st-a-spanning-tree-protocol-for	MQTT-ST: a Spanning Tree Protocol for Distributed MQTT Brokers	1911.07622	http://arxiv.org/abs/1911.07622v1	http://arxiv.org/pdf/1911.07622v1.pdf	https://github.com/ANTLab-polimi/mosquitto	true	true	true	none
https://paperswithcode.com/paper/deep-ensemble-of-weighted-viterbi-decoders	Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes	2009.02591	https://arxiv.org/abs/2009.02591v4	https://arxiv.org/pdf/2009.02591v4.pdf	https://github.com/tomerraviv95/TailBitingCC	true	true	true	pytorch
https://paperswithcode.com/paper/spatiotemporal-mapping-of-malaria-prevalence	Spatiotemporal mapping of malaria prevalence in Madagascar using routine surveillance and health survey data	2008.08358	http://arxiv.org/abs/2008.08358v1	http://arxiv.org/pdf/2008.08358v1.pdf	https://github.com/rarambepola/Prevalence-Madagascar	true	true	true	none
https://paperswithcode.com/paper/implementation-of-high-order-discontinuous	Implementation of high-order, discontinuous Galerkin time stepping for fractional diffusion problems	2003.09805	http://arxiv.org/abs/2003.09805v1	http://arxiv.org/pdf/2003.09805v1.pdf	https://github.com/billmclean/FractionalTimeDG.jl	true	true	true	none
https://paperswithcode.com/paper/self-distillation-as-instance-specific-label	Self-Distillation as Instance-Specific Label Smoothing	2006.05065	https://arxiv.org/abs/2006.05065v2	https://arxiv.org/pdf/2006.05065v2.pdf	https://github.com/ZhiluZhang123/neurips_2020_distillation	false	false	true	pytorch
https://paperswithcode.com/paper/attacking-recommender-systems-with-augmented	Attacking Recommender Systems with Augmented User Profiles	2005.08164	https://arxiv.org/abs/2005.08164v2	https://arxiv.org/pdf/2005.08164v2.pdf	https://github.com/XMUDM/AUSH	true	false	true	tf
https://paperswithcode.com/paper/smt-friendly-formalization-of-the-solidity	SMT-Friendly Formalization of the Solidity Memory Model	2001.03256	http://arxiv.org/abs/2001.03256v2	http://arxiv.org/pdf/2001.03256v2.pdf	https://github.com/SRI-CSL/solidity	true	true	true	none
https://paperswithcode.com/paper/a-reynolds-robust-preconditioner-for-the	A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations	2004.09398	https://arxiv.org/abs/2004.09398v3	https://arxiv.org/pdf/2004.09398v3.pdf	https://github.com/florianwechsung/alfi	true	true	true	none
https://paperswithcode.com/paper/a-subtraction-scheme-for-massive-qed	A subtraction scheme for massive QED	1909.10244	http://arxiv.org/abs/1909.10244v2	http://arxiv.org/pdf/1909.10244v2.pdf	https://gitlab.com/mule-tools/manual	false	false	true	none
https://paperswithcode.com/paper/ask2transformers-zero-shot-domain-labelling	Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models	2101.02661	https://arxiv.org/abs/2101.02661v2	https://arxiv.org/pdf/2101.02661v2.pdf	https://github.com/osainz59/Ask2Transformers	true	true	true	pytorch
https://paperswithcode.com/paper/covid-19-deterioration-prediction-via-self	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction	2101.04909	https://arxiv.org/abs/2101.04909v2	https://arxiv.org/pdf/2101.04909v2.pdf	https://github.com/facebookresearch/CovidPrognosis	true	true	true	pytorch
https://paperswithcode.com/paper/other-roles-matter-enhancing-role-oriented-1	Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions	2205.13190	https://arxiv.org/abs/2205.13190v1	https://arxiv.org/pdf/2205.13190v1.pdf	https://github.com/xiaolinandy/rods	true	true	false	pytorch
https://paperswithcode.com/paper/efficient-machine-translation-domain-1	Efficient Machine Translation Domain Adaptation	2204.12608	https://arxiv.org/abs/2204.12608v1	https://arxiv.org/pdf/2204.12608v1.pdf	https://github.com/deep-spin/efficient_knn_mt	true	true	false	pytorch
https://paperswithcode.com/paper/who-said-what-modeling-individual-labelers	Who Said What: Modeling Individual Labelers Improves Classification	1703.08774	http://arxiv.org/abs/1703.08774v2	http://arxiv.org/pdf/1703.08774v2.pdf	https://github.com/seunghyukcho/doctornet-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/monte-carlo-experiments-of-network-effects-in	Monte Carlo Experiments of Network Effects in Randomized Controlled Trials	2312.01607	https://arxiv.org/abs/2312.01607v1	https://arxiv.org/pdf/2312.01607v1.pdf	https://github.com/mtrencseni/monte-carlo-network-effects-rct-2023	true	true	false	none
https://paperswithcode.com/paper/whiteningbert-an-easy-unsupervised-sentence	WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach	2104.01767	https://arxiv.org/abs/2104.01767v3	https://arxiv.org/pdf/2104.01767v3.pdf	https://github.com/Jun-jie-Huang/WhiteningBERT	true	true	true	pytorch
https://paperswithcode.com/paper/stargan-vc-non-parallel-many-to-many-voice	StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks	1806.02169	http://arxiv.org/abs/1806.02169v2	http://arxiv.org/pdf/1806.02169v2.pdf	https://github.com/MindSpore-paper-code-2/code3/tree/main/StarGAN	false	false	false	mindspore
https://paperswithcode.com/paper/gravitational-lensing-formalism-in-a-curved	Gravitational lensing formalism in a curved arc basis: A continuous description of observables and degeneracies from the weak to the strong lensing regime	2104.09522	https://arxiv.org/abs/2104.09522v2	https://arxiv.org/pdf/2104.09522v2.pdf	https://github.com/sibirrer/curved_arcs	true	true	true	none
https://paperswithcode.com/paper/meloppr-software-hardware-co-design-for	MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank	2104.09616	https://arxiv.org/abs/2104.09616v1	https://arxiv.org/pdf/2104.09616v1.pdf	https://github.com/sharc-lab/MeLoPPR	true	true	true	none
https://paperswithcode.com/paper/learning-hierarchical-item-categories-from	Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing	1806.02056	https://arxiv.org/abs/1806.02056v2	https://arxiv.org/pdf/1806.02056v2.pdf	https://github.com/fkhawar/Conformative-Filtering	false	false	true	none
https://paperswithcode.com/paper/natural-language-inference-in-context	Natural Language Inference in Context -- Investigating Contextual Reasoning over Long Texts	2011.04864	https://arxiv.org/abs/2011.04864v1	https://arxiv.org/pdf/2011.04864v1.pdf	https://github.com/csitfun/ConTRoL-dataset	true	false	true	pytorch
https://paperswithcode.com/paper/challenges-in-data-to-document-generation	Challenges in Data-to-Document Generation	1707.08052	http://arxiv.org/abs/1707.08052v1	http://arxiv.org/pdf/1707.08052v1.pdf	https://github.com/KaijuML/rotowire-rg-metric	false	false	true	pytorch
https://paperswithcode.com/paper/seeking-quality-diversity-in-evolutionary-co	Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots	2104.12175	https://arxiv.org/abs/2104.12175v1	https://arxiv.org/pdf/2104.12175v1.pdf	https://github.com/lis-epfl/Tensoft-G21	true	true	true	none
https://paperswithcode.com/paper/viewport-aware-dynamic-360deg-video-segment	Viewport-Aware Dynamic 360° Video Segment Categorization	2105.01701	https://arxiv.org/abs/2105.01701v2	https://arxiv.org/pdf/2105.01701v2.pdf	https://github.com/theamaya/Viewport-Aware-Dynamic-360-Video-Segment-Categorization	true	true	true	none
https://paperswithcode.com/paper/provable-repair-of-deep-neural-networks	Provable Repair of Deep Neural Networks	2104.04413	https://arxiv.org/abs/2104.04413v2	https://arxiv.org/pdf/2104.04413v2.pdf	https://github.com/95616ARG/PRDNN	true	true	true	none
https://paperswithcode.com/paper/mastering-chess-and-shogi-by-self-play-with-a	Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm	1712.01815	http://arxiv.org/abs/1712.01815v1	http://arxiv.org/pdf/1712.01815v1.pdf	https://github.com/k-lombard/CS4641_Project	false	false	true	tf
https://paperswithcode.com/paper/feature-adaptation-of-pre-trained-language	Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training	2009.11538	https://arxiv.org/abs/2009.11538v3	https://arxiv.org/pdf/2009.11538v3.pdf	https://github.com/AntheaLi/cs224nProject	false	false	true	pytorch
https://paperswithcode.com/paper/end-to-end-synthetic-data-generation-for	End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems	2010.06028	https://arxiv.org/abs/2010.06028v1	https://arxiv.org/pdf/2010.06028v1.pdf	https://github.com/AntheaLi/cs224nProject	false	false	true	pytorch
https://paperswithcode.com/paper/trajectory-prediction-for-autonomous-driving	Trajectory Prediction for Autonomous Driving with Topometric Map	2105.03869	https://arxiv.org/abs/2105.03869v1	https://arxiv.org/pdf/2105.03869v1.pdf	https://github.com/Jiaolong/trajectory-prediction	true	true	true	pytorch
https://paperswithcode.com/paper/pyg4ometry-a-python-library-for-the-creation	PYG4OMETRY: a Python library for the creation of Monte Carlo radiation transport physical geometries	2010.01109	https://arxiv.org/abs/2010.01109v2	https://arxiv.org/pdf/2010.01109v2.pdf	https://github.com/willzywiec/transport	false	false	true	none
https://paperswithcode.com/paper/rethinking-architecture-design-for-tackling	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning	2106.06047	https://arxiv.org/abs/2106.06047v2	https://arxiv.org/pdf/2106.06047v2.pdf	https://github.com/Liangqiong/ViT-FL-main	true	true	true	pytorch
https://paperswithcode.com/paper/partially-observable-mean-field-reinforcement	Partially Observable Mean Field Reinforcement Learning	2012.15791	https://arxiv.org/abs/2012.15791v1	https://arxiv.org/pdf/2012.15791v1.pdf	https://github.com/Sriram94/pomfrl	true	true	true	tf
https://paperswithcode.com/paper/time-limited-bloom-filter	Time-limited Bloom Filter	2306.06742	https://arxiv.org/abs/2306.06742v1	https://arxiv.org/pdf/2306.06742v1.pdf	https://github.com/redisbloom/redisbloom	true	true	false	none
https://paperswithcode.com/paper/research-on-event-accumulator-settings-for	Research on Event Accumulator Settings for Event-Based SLAM	2112.00427	https://arxiv.org/abs/2112.00427v4	https://arxiv.org/pdf/2112.00427v4.pdf	https://github.com/robin-shaun/event-slam-accumulator-settings	true	true	true	none
https://paperswithcode.com/paper/unsupervised-skill-discovery-with-bottleneck	Unsupervised Skill Discovery with Bottleneck Option Learning	2106.14305	https://arxiv.org/abs/2106.14305v1	https://arxiv.org/pdf/2106.14305v1.pdf	https://github.com/jaekyeom/IBOL	true	false	true	tf
https://paperswithcode.com/paper/improving-graph-neural-networks-with-simple	Improving Graph Neural Networks with Simple Architecture Design	2105.07634	https://arxiv.org/abs/2105.07634v1	https://arxiv.org/pdf/2105.07634v1.pdf	https://github.com/sunilkmaurya/FSGNN	true	true	true	pytorch
https://paperswithcode.com/paper/continual-adaptation-of-visual	Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning	2012.04324	https://arxiv.org/abs/2012.04324v2	https://arxiv.org/pdf/2012.04324v2.pdf	https://github.com/cute23333/DR-MetaLearning	false	false	false	pytorch
https://paperswithcode.com/paper/a-survey-on-attention-mechanisms-for-medical	A survey on attention mechanisms for medical applications: are we moving towards better algorithms?	2204.12406	https://arxiv.org/abs/2204.12406v1	https://arxiv.org/pdf/2204.12406v1.pdf	https://github.com/TiagoFilipeSousaGoncalves/survey-attention-medical-imaging	true	true	true	pytorch
https://paperswithcode.com/paper/robust-risk-aware-reinforcement-learning	Robust Risk-Aware Reinforcement Learning	2108.10403	https://arxiv.org/abs/2108.10403v2	https://arxiv.org/pdf/2108.10403v2.pdf	https://github.com/sebjai/robust-risk-aware-rl	true	true	true	pytorch
https://paperswithcode.com/paper/automating-feedback-analysis-in-surgical	Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment	2412.00760	https://arxiv.org/abs/2412.00760v1	https://arxiv.org/pdf/2412.00760v1.pdf	https://github.com/firdavsn/SurgicalFeedbackAI	true	false	true	pytorch
https://paperswithcode.com/paper/predicting-video-with-vqvae-1	Predicting Video with VQVAE	2103.01950	https://arxiv.org/abs/2103.01950v1	https://arxiv.org/pdf/2103.01950v1.pdf	https://github.com/mattiasxu/Video-VQVAE	false	false	true	pytorch
https://paperswithcode.com/paper/explainability-requires-interactivity	Explainability Requires Interactivity	2109.07869	https://arxiv.org/abs/2109.07869v1	https://arxiv.org/pdf/2109.07869v1.pdf	https://github.com/healthml/stylegan2-hypotheses-explorer	true	true	true	pytorch
https://paperswithcode.com/paper/analysis-of-the-robustness-of-nmf-algorithms	Analysis of the robustness of NMF algorithms	2106.02213	https://arxiv.org/abs/2106.02213v1	https://arxiv.org/pdf/2106.02213v1.pdf	https://github.com/alejandrods/Analysis-of-the-robustness-of-NMF-algorithms	true	true	true	none
https://paperswithcode.com/paper/identifying-incorrect-labels-in-the-conll	Identifying Incorrect Labels in the CoNLL-2003 Corpus	null	https://aclanthology.org/2020.conll-1.16	https://aclanthology.org/2020.conll-1.16.pdf	https://github.com/codait/text-extensions-for-pandas	true	true	false	none
https://paperswithcode.com/paper/reachability-analysis-of-neural-feedback	Reachability Analysis of Neural Feedback Loops	2108.04140	https://arxiv.org/abs/2108.04140v2	https://arxiv.org/pdf/2108.04140v2.pdf	https://github.com/mit-acl/nn_robustness_analysis	true	true	true	pytorch
https://paperswithcode.com/paper/monitoring-data-requests-in-decentralized	Monitoring Data Requests in Decentralized Data Storage Systems: A Case Study of IPFS	2104.09202	https://arxiv.org/abs/2104.09202v5	https://arxiv.org/pdf/2104.09202v5.pdf	https://github.com/mrd0ll4r/ipfs-resolver	true	true	true	none
https://paperswithcode.com/paper/parameter-estimation-and-uncertainty-1	Parameter estimation and uncertainty quantification using information geometry	2111.12201	https://arxiv.org/abs/2111.12201v3	https://arxiv.org/pdf/2111.12201v3.pdf	https://github.com/jesse-sharp/sharp2021b	true	true	true	none
https://paperswithcode.com/paper/fast-and-direct-nonparametric-procedures-in	Fast and direct nonparametric procedures in the L-moment homogeneity test	1610.05695	http://arxiv.org/abs/1610.05695v1	http://arxiv.org/pdf/1610.05695v1.pdf	https://github.com/PierreMasselot/Paper--2017--Nonparametric-L-moment-homogeneity-test	true	false	false	none
https://paperswithcode.com/paper/efficacy-of-mri-data-harmonization-in-the-age	Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets	2211.04125	https://arxiv.org/abs/2211.04125v4	https://arxiv.org/pdf/2211.04125v4.pdf	https://github.com/imaging-ai-for-health-virtual-lab/harmonizer	true	true	false	none
https://paperswithcode.com/paper/robust-attitude-controller-for-unmanned	Robust Attitude Controller for Unmanned Aerial Vehicle Using Dynamic Inversion and Extended State Observer	null	https://www.researchgate.net/publication/241163325_Robust_Attitude_Controller_for_Unmanned_Aerial_Vehicle_Using_Dynamic_Inversion_and_Extended_State_Observer	https://www.researchgate.net/publication/241163325_Robust_Attitude_Controller_for_Unmanned_Aerial_Vehicle_Using_Dynamic_Inversion_and_Extended_State_Observer	https://github.com/avionicscode/Robust-Attitude-Controller-for-UAV-Using-Dynamic-Inversion-and-Extended-State-Observer-controller	false	false	false	none
https://paperswithcode.com/paper/attention-is-all-you-need	Attention Is All You Need	1706.03762	https://arxiv.org/abs/1706.03762v7	https://arxiv.org/pdf/1706.03762v7.pdf	https://github.com/lenacabrera/gb_mnmt	false	false	true	pytorch
https://paperswithcode.com/paper/rational-polynomial-camera-model-warping-for	Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching	2109.11121	https://arxiv.org/abs/2109.11121v1	https://arxiv.org/pdf/2109.11121v1.pdf	https://github.com/whu-gpcv/satmvs	true	true	false	pytorch
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/stefan-it/europeana-bert	false	false	true	tf
https://paperswithcode.com/paper/integrating-pattern-and-fact-based-fake-news	Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning	2109.11333	https://arxiv.org/abs/2109.11333v1	https://arxiv.org/pdf/2109.11333v1.pdf	https://github.com/ictmcg/pref-fend	true	true	false	pytorch
https://paperswithcode.com/paper/cross-linguistically-consistent-semantic-and	Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech	2109.10952	https://arxiv.org/abs/2109.10952v2	https://arxiv.org/pdf/2109.10952v2.pdf	https://github.com/omriabnd/cds_syntax_semantics	true	true	false	none
https://paperswithcode.com/paper/distilbert-a-distilled-version-of-bert	DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	1910.01108	https://arxiv.org/abs/1910.01108v4	https://arxiv.org/pdf/1910.01108v4.pdf	https://github.com/stefan-it/europeana-bert	false	false	true	tf
https://paperswithcode.com/paper/convbert-improving-bert-with-span-based	ConvBERT: Improving BERT with Span-based Dynamic Convolution	2008.02496	https://arxiv.org/abs/2008.02496v3	https://arxiv.org/pdf/2008.02496v3.pdf	https://github.com/stefan-it/europeana-bert	false	false	true	tf
https://paperswithcode.com/paper/bert-pre-training-of-deep-bidirectional	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	1810.04805	https://arxiv.org/abs/1810.04805v2	https://arxiv.org/pdf/1810.04805v2.pdf	https://github.com/stefan-it/europeana-bert	false	false	true	tf
https://paperswithcode.com/paper/superpoint-self-supervised-interest-point	SuperPoint: Self-Supervised Interest Point Detection and Description	1712.07629	http://arxiv.org/abs/1712.07629v4	http://arxiv.org/pdf/1712.07629v4.pdf	https://github.com/gabriel-sgama/semantic-superpoint	false	false	true	pytorch
https://paperswithcode.com/paper/multi-task-learning-using-uncertainty-to	Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	1705.07115	http://arxiv.org/abs/1705.07115v3	http://arxiv.org/pdf/1705.07115v3.pdf	https://github.com/gabriel-sgama/semantic-superpoint	false	false	true	pytorch
https://paperswithcode.com/paper/calfat-calibrated-federated-adversarial	CalFAT: Calibrated Federated Adversarial Training with Label Skewness	2205.14926	https://arxiv.org/abs/2205.14926v3	https://arxiv.org/pdf/2205.14926v3.pdf	https://github.com/cc233/calfat	true	true	true	pytorch
https://paperswithcode.com/paper/leveraging-convergence-behavior-to-balance	Leveraging convergence behavior to balance conflicting tasks in multi-task learning	2204.06698	https://arxiv.org/abs/2204.06698v1	https://arxiv.org/pdf/2204.06698v1.pdf	https://github.com/gabriel-sgama/semantic-superpoint	false	false	true	pytorch
https://paperswithcode.com/paper/multi-channel-coronal-hole-detection-with	Multi-channel coronal hole detection with convolutional neural networks	2104.14313	https://arxiv.org/abs/2104.14313v2	https://arxiv.org/pdf/2104.14313v2.pdf	https://github.com/RobertJaro/MultiChannelCHDetection	true	true	true	pytorch
https://paperswithcode.com/paper/wide-activation-for-efficient-and-accurate	Wide Activation for Efficient and Accurate Image Super-Resolution	1808.08718	http://arxiv.org/abs/1808.08718v2	http://arxiv.org/pdf/1808.08718v2.pdf	https://github.com/2023-MindSpore-1/ms-code-7/tree/main/wdsr	false	false	false	mindspore
https://paperswithcode.com/paper/a-bregman-admm-for-bethe-variational-problem	A Bregman ADMM for Bethe variational problem	2502.04613	https://arxiv.org/abs/2502.04613v2	https://arxiv.org/pdf/2502.04613v2.pdf	https://github.com/ttymath/badmm-bvp	true	true	true	none
https://paperswithcode.com/paper/plug-and-play-language-models-a-simple	Plug and Play Language Models: A Simple Approach to Controlled Text Generation	1912.02164	https://arxiv.org/abs/1912.02164v4	https://arxiv.org/pdf/1912.02164v4.pdf	https://github.com/AdarshKumar712/PPLM.jl	false	false	true	none
https://paperswithcode.com/paper/ruleformer-context-aware-rule-mining-over	Ruleformer: Context-aware Rule Mining over Knowledge Graph	null	https://aclanthology.org/2022.coling-1.225	https://aclanthology.org/2022.coling-1.225.pdf	https://github.com/zjukg/ruleformer	true	true	false	pytorch
https://paperswithcode.com/paper/theoretical-limits-of-one-shot-distributed	One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them	1905.04634	https://arxiv.org/abs/1905.04634v5	https://arxiv.org/pdf/1905.04634v5.pdf	https://github.com/sabersalehk/MRE_C	false	false	true	none
https://paperswithcode.com/paper/learning-to-generate-clinically-coherent	Learning to Generate Clinically Coherent Chest X-Ray Reports	null	https://aclanthology.org/2020.findings-emnlp.110	https://aclanthology.org/2020.findings-emnlp.110.pdf	https://github.com/justinlovelace/coherent-xray-report-generation	true	true	false	pytorch
https://paperswithcode.com/paper/deep-residual-network-for-steganalysis-of	Deep residual network for steganalysis of digital images	null	https://ieeexplore.ieee.org/abstract/document/8470101/	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8470101	https://github.com/albblgb/Deep-Steganalysis	false	false	false	pytorch
https://paperswithcode.com/paper/perceiving-the-world-question-guided	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games	2204.09597	https://arxiv.org/abs/2204.09597v2	https://arxiv.org/pdf/2204.09597v2.pdf	https://github.com/yunqiuxu/qwa	true	true	true	pytorch
https://paperswithcode.com/paper/finqa-a-dataset-of-numerical-reasoning-over	FinQA: A Dataset of Numerical Reasoning over Financial Data	2109.00122	https://arxiv.org/abs/2109.00122v3	https://arxiv.org/pdf/2109.00122v3.pdf	https://github.com/czyssrs/finqa	true	true	true	pytorch
https://paperswithcode.com/paper/viscous-fingering-in-fractured-porous-media	Numerical simulations of viscous fingering in fractured porous media	1906.10472	https://arxiv.org/abs/1906.10472v2	https://arxiv.org/pdf/1906.10472v2.pdf	https://github.com/rbe051/viscfrac	true	true	false	none
https://paperswithcode.com/paper/fairrec-two-sided-fairness-for-personalized	FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms	2002.10764	https://arxiv.org/abs/2002.10764v2	https://arxiv.org/pdf/2002.10764v2.pdf	https://github.com/gourabkumarpatro/fairrec	false	false	true	none
https://paperswithcode.com/paper/hephaestus-a-large-scale-multitask-dataset	Hephaestus: A large scale multitask dataset towards InSAR understanding	2204.09435	https://arxiv.org/abs/2204.09435v1	https://arxiv.org/pdf/2204.09435v1.pdf	https://github.com/orion-ai-lab/hephaestus	true	true	true	pytorch
https://paperswithcode.com/paper/very-deep-convolutional-networks-for-large	Very Deep Convolutional Networks for Large-Scale Image Recognition	1409.1556	http://arxiv.org/abs/1409.1556v6	http://arxiv.org/pdf/1409.1556v6.pdf	https://github.com/mindspore-ai/models/tree/master/research/cv/vgg19	false	false	false	mindspore
https://paperswithcode.com/paper/denoising-autoencoders-for-fast-combinatorial	Denoising Autoencoders for fast Combinatorial Black Box Optimization	1503.01954	http://arxiv.org/abs/1503.01954v2	http://arxiv.org/pdf/1503.01954v2.pdf	https://github.com/wohnjayne/eda-suite	false	false	true	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.