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/learning-debiased-models-with-dynamic	Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment	2111.13108	https://arxiv.org/abs/2111.13108v2	https://arxiv.org/pdf/2111.13108v2.pdf	https://github.com/parkgeonyeong/dcwp	false	false	true	pytorch
https://paperswithcode.com/paper/mud-towards-a-large-scale-and-noise-filtered	MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling	2405.07090	https://arxiv.org/abs/2405.07090v1	https://arxiv.org/pdf/2405.07090v1.pdf	https://github.com/sidongfeng/MUD	true	true	false	none
https://paperswithcode.com/paper/find-the-funding-entity-linking-with	Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases	2209.00351	https://arxiv.org/abs/2209.00351v2	https://arxiv.org/pdf/2209.00351v2.pdf	https://github.com/informagi/fund-el	true	true	false	pytorch
https://paperswithcode.com/paper/dimsum-distributed-and-multilingual	DiMSum: Distributed and Multilingual Summarization of Financial Narratives	null	https://aclanthology.org/2022.fnp-1.9	https://aclanthology.org/2022.fnp-1.9.pdf	https://github.com/neeleshkshukla/DiMSum_FNP_2022	true	false	false	none
https://paperswithcode.com/paper/aesthetic-attribute-assessment-of-images	Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets	2207.01806	https://arxiv.org/abs/2207.01806v1	https://arxiv.org/pdf/2207.01806v1.pdf	https://github.com/BestiVictory/Aesthetic-Attribute-Assessment-Model	false	false	true	mindspore
https://paperswithcode.com/paper/splitee-early-exit-in-deep-neural-networks	SplitEE: Early Exit in Deep Neural Networks with Split Computing	2309.09195	https://arxiv.org/abs/2309.09195v1	https://arxiv.org/pdf/2309.09195v1.pdf	https://github.com/Div290/SplitEE/blob/main/README.md	false	false	false	pytorch
https://paperswithcode.com/paper/fourier-series-expansion-based-filter	Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions	2107.14519	https://arxiv.org/abs/2107.14519v2	https://arxiv.org/pdf/2107.14519v2.pdf	https://github.com/XieQi2015/F-Conv	true	true	false	pytorch
https://paperswithcode.com/paper/target-guided-open-domain-conversation-1	Target-Guided Open-Domain Conversation Planning	2209.09746	https://arxiv.org/abs/2209.09746v1	https://arxiv.org/pdf/2209.09746v1.pdf	https://github.com/y-kishinami/tgcp	true	true	false	none
https://paperswithcode.com/paper/agreement-or-disagreement-in-noise-tolerant	Agreement or Disagreement in Noise-tolerant Mutual Learning?	2203.15317	https://arxiv.org/abs/2203.15317v2	https://arxiv.org/pdf/2203.15317v2.pdf	https://github.com/jiarunliu/mlc	true	true	false	pytorch
https://paperswithcode.com/paper/perspective-phase-angle-model-for	Perspective Phase Angle Model for Polarimetric 3D Reconstruction	2207.09629	https://arxiv.org/abs/2207.09629v2	https://arxiv.org/pdf/2207.09629v2.pdf	https://github.com/gcchen97/ppa4p3d	true	true	true	none
https://paperswithcode.com/paper/hyp-2-loss-beyond-hypersphere-metric-space	HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval	2208.06866	https://arxiv.org/abs/2208.06866v1	https://arxiv.org/pdf/2208.06866v1.pdf	https://github.com/jerryxu0129/hyp2-loss	true	true	false	pytorch
https://paperswithcode.com/paper/classification-of-small-triorthogonal-codes	Classification of Small Triorthogonal Codes	2107.09684	https://arxiv.org/abs/2107.09684v2	https://arxiv.org/pdf/2107.09684v2.pdf	https://github.com/sgnez/Tri_from_RM	true	true	false	none
https://paperswithcode.com/paper/multi-partition-embedding-interaction-with	Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion	2006.16365	https://arxiv.org/abs/2006.16365v2	https://arxiv.org/pdf/2006.16365v2.pdf	https://github.com/tranhungnghiep/AnalyzeKGE	false	false	true	tf
https://paperswithcode.com/paper/ensemble-of-expanded-ensembles-a-generalized	Replica exchange of expanded ensembles: A generalized ensemble approach with enhanced flexibility and parallelizability	2308.06938	https://arxiv.org/abs/2308.06938v2	https://arxiv.org/pdf/2308.06938v2.pdf	https://github.com/wehs7661/ensemble_md	true	true	true	none
https://paperswithcode.com/paper/visualization-guidelines-for-model	Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts	2205.05749	https://arxiv.org/abs/2205.05749v3	https://arxiv.org/pdf/2205.05749v3.pdf	https://github.com/tuftsvalt/modelcomm	true	true	false	none
https://paperswithcode.com/paper/bertoldo-the-historical-bert-for-italian	BERToldo, the Historical BERT for Italian	null	https://aclanthology.org/2022.lt4hala-1.10	https://aclanthology.org/2022.lt4hala-1.10.pdf	https://github.com/dhfbk/historical-bert	true	true	false	none
https://paperswithcode.com/paper/tt-bajes-bayesian-inference-of-multimessenger	${\tt bajes}$: Bayesian inference of multimessenger astrophysical data, methods and application to gravitational-waves	2102.00017	https://arxiv.org/abs/2102.00017v2	https://arxiv.org/pdf/2102.00017v2.pdf	https://github.com/roxgamba/bajes	false	false	true	none
https://paperswithcode.com/paper/text-alpha-2-discovering-logical-formulaic	$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning	2406.16505	https://arxiv.org/abs/2406.16505v2	https://arxiv.org/pdf/2406.16505v2.pdf	https://github.com/x35f/alpha2	true	true	true	jax
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/smitheric95/MoCoViT-PyTorch	false	false	true	pytorch
https://paperswithcode.com/paper/predicting-hurricane-trajectories-using-a	Predicting Hurricane Trajectories using a Recurrent Neural Network	1802.02548	http://arxiv.org/abs/1802.02548v3	http://arxiv.org/pdf/1802.02548v3.pdf	https://github.com/stormalytics/hurricane-frocasting	false	false	true	pytorch
https://paperswithcode.com/paper/behanceqa-a-new-dataset-for-identifying	BehanceQA: A New Dataset for Identifying Question-Answer Pairs in Video Transcripts	null	https://aclanthology.org/2022.lrec-1.796	https://aclanthology.org/2022.lrec-1.796.pdf	https://github.com/amirveyseh/behanceqa	true	true	false	pytorch
https://paperswithcode.com/paper/scalable-computation-of-monge-maps-with	Neural Monge Map estimation and its applications	2106.03812	https://arxiv.org/abs/2106.03812v3	https://arxiv.org/pdf/2106.03812v3.pdf	https://github.com/sbyebss/monge_map_solver	true	false	false	pytorch
https://paperswithcode.com/paper/convnext-v2-co-designing-and-scaling-convnets	ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders	2301.00808	https://arxiv.org/abs/2301.00808v1	https://arxiv.org/pdf/2301.00808v1.pdf	https://github.com/zibbini/convnext-v2_tensorflow	false	false	true	tf
https://paperswithcode.com/paper/privacy-induces-robustness-information	Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation	2211.00724	https://arxiv.org/abs/2211.00724v2	https://arxiv.org/pdf/2211.00724v2.pdf	https://github.com/kristian-georgiev/privacy-induces-robustness	true	false	false	none
https://paperswithcode.com/paper/stylised-choropleth-maps-for-new-zealand	Stylised Choropleth Maps for New Zealand Regions and District Health Boards	1912.04435	https://arxiv.org/abs/1912.04435v1	https://arxiv.org/pdf/1912.04435v1.pdf	https://github.com/tslumley/DHBins	true	true	true	none
https://paperswithcode.com/paper/perturbed-self-distillation-weakly-supervised	Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation	null	http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Perturbed_Self-Distillation_Weakly_Supervised_Large-Scale_Point_Cloud_Semantic_Segmentation_ICCV_2021_paper.html	http://openaccess.thecvf.com//content/ICCV2021/papers/Zhang_Perturbed_Self-Distillation_Weakly_Supervised_Large-Scale_Point_Cloud_Semantic_Segmentation_ICCV_2021_paper.pdf	https://github.com/yangyucheng000/PSD_Mindspore	false	false	false	mindspore
https://paperswithcode.com/paper/progressive-color-transfer-with-dense	Progressive Color Transfer with Dense Semantic Correspondences	1710.00756	http://arxiv.org/abs/1710.00756v2	http://arxiv.org/pdf/1710.00756v2.pdf	https://github.com/dev-Adrian-Vera/Second_Partial_Project	false	false	true	tf
https://paperswithcode.com/paper/automatic-annotation-of-direct-speech-in	Automatic Annotation of Direct Speech in Written French Narratives	2306.15634	https://arxiv.org/abs/2306.15634v2	https://arxiv.org/pdf/2306.15634v2.pdf	https://github.com/deezer/aads_french	true	true	false	none
https://paperswithcode.com/paper/lasso-hyperinterpolation-over-general-regions	Lasso hyperinterpolation over general regions	2011.00433	https://arxiv.org/abs/2011.00433v2	https://arxiv.org/pdf/2011.00433v2.pdf	https://github.com/HaoNingWu/LassoHyper	false	false	true	none
https://paperswithcode.com/paper/product-information-extraction-using-chatgpt	Product Information Extraction using ChatGPT	2306.14921	https://arxiv.org/abs/2306.14921v1	https://arxiv.org/pdf/2306.14921v1.pdf	https://github.com/wbsg-uni-mannheim/pie_chatgpt	true	true	false	none
https://paperswithcode.com/paper/finding-stable-groups-of-cross-correlated	Finding Groups of Cross-Correlated Features in Bi-View Data	2009.05079	https://arxiv.org/abs/2009.05079v4	https://arxiv.org/pdf/2009.05079v4.pdf	https://github.com/miheerdew/cbce	true	true	false	none
https://paperswithcode.com/paper/unsupervised-representation-learning-with-1	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	1511.06434	http://arxiv.org/abs/1511.06434v2	http://arxiv.org/pdf/1511.06434v2.pdf	https://github.com/MasoumehVahedi/GANs-Model	false	false	true	pytorch
https://paperswithcode.com/paper/ultra-high-resolution-unpaired-stain	Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization	2208.10730	https://arxiv.org/abs/2208.10730v1	https://arxiv.org/pdf/2208.10730v1.pdf	https://github.com/kaminyou/urust	true	true	false	pytorch
https://paperswithcode.com/paper/the-spatially-correlative-loss-for-various	The Spatially-Correlative Loss for Various Image Translation Tasks	2104.00854	https://arxiv.org/abs/2104.00854v1	https://arxiv.org/pdf/2104.00854v1.pdf	https://github.com/kaminyou/urust	false	false	true	pytorch
https://paperswithcode.com/paper/unpaired-image-to-image-translation-using	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	1703.10593	https://arxiv.org/abs/1703.10593v7	https://arxiv.org/pdf/1703.10593v7.pdf	https://github.com/kaminyou/urust	false	false	true	pytorch
https://paperswithcode.com/paper/sentimentarcs-a-novel-method-for-self	SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs	2110.09454	https://arxiv.org/abs/2110.09454v1	https://arxiv.org/pdf/2110.09454v1.pdf	https://github.com/jon-chun/sentimentarcs_notebooks	true	false	true	none
https://paperswithcode.com/paper/deep-learning-software-engineering-state-of	Deep Learning & Software Engineering: State of Research and Future Directions	2009.08525	https://arxiv.org/abs/2009.08525v1	https://arxiv.org/pdf/2009.08525v1.pdf	https://gitlab.com/dlse-workshop/dlse-workshop-community-report	true	true	false	none
https://paperswithcode.com/paper/posetrans-a-simple-yet-effective-pose	PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation	2208.07755	https://arxiv.org/abs/2208.07755v1	https://arxiv.org/pdf/2208.07755v1.pdf	https://github.com/wtjiang98/PoseTrans	true	false	false	pytorch
https://paperswithcode.com/paper/flopping-mode-electron-dipole-spin-resonance	Flopping-mode electron dipole spin resonance in the strong-driving regime	2208.10548	https://arxiv.org/abs/2208.10548v1	https://arxiv.org/pdf/2208.10548v1.pdf	https://github.com/qutech/qopt-applications	true	true	false	none
https://paperswithcode.com/paper/a-time-domain-generalized-wiener-filter-for	A Time-domain Real-valued Generalized Wiener Filter for Multi-channel Neural Separation Systems	2112.03533	https://arxiv.org/abs/2112.03533v2	https://arxiv.org/pdf/2112.03533v2.pdf	https://github.com/yluo42/TAC	true	true	false	pytorch
https://paperswithcode.com/paper/on-the-complementarity-between-pre-training-1	On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation	2209.03316	https://arxiv.org/abs/2209.03316v3	https://arxiv.org/pdf/2209.03316v3.pdf	https://github.com/zanchangtong/ptvsri	true	true	false	pytorch
https://paperswithcode.com/paper/crowdsourced-fact-checking-at-twitter-how	Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?	2208.09214	https://arxiv.org/abs/2208.09214v1	https://arxiv.org/pdf/2208.09214v1.pdf	https://github.com/mhmdsaiid/birdwatch	true	true	true	none
https://paperswithcode.com/paper/privacy-preserving-data-sharing-via	Privacy-preserving data sharing via probabilistic modelling	1912.04439	https://arxiv.org/abs/1912.04439v4	https://arxiv.org/pdf/1912.04439v4.pdf	https://github.com/DPBayes/twinify	false	false	true	jax
https://paperswithcode.com/paper/multi-objective-representation-learning-for	Multi-objective Representation Learning for Scientific Document Retrieval	null	https://aclanthology.org/2022.sdp-1.9	https://aclanthology.org/2022.sdp-1.9.pdf	https://github.com/zetaalphavector/multi-obj-repr-learning	true	true	false	pytorch
https://paperswithcode.com/paper/revision-transformers-getting-rit-of-no-nos	Revision Transformers: Instructing Language Models to Change their Values	2210.10332	https://arxiv.org/abs/2210.10332v3	https://arxiv.org/pdf/2210.10332v3.pdf	https://github.com/ml-research/revision-transformer	true	true	true	pytorch
https://paperswithcode.com/paper/longformer-the-long-document-transformer	Longformer: The Long-Document Transformer	2004.05150	https://arxiv.org/abs/2004.05150v2	https://arxiv.org/pdf/2004.05150v2.pdf	https://github.com/a-rios/ats-models	false	false	true	pytorch
https://paperswithcode.com/paper/corrclip-reconstructing-correlations-in-clip	CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation	2411.10086	https://arxiv.org/abs/2411.10086v1	https://arxiv.org/pdf/2411.10086v1.pdf	https://github.com/zdk258/CorrCLIP	true	false	true	pytorch
https://paperswithcode.com/paper/fast-and-accurate-importance-weighting-for	Fast and Accurate Importance Weighting for Correcting Sample Bias	2209.04215	https://arxiv.org/abs/2209.04215v1	https://arxiv.org/pdf/2209.04215v1.pdf	https://github.com/antoinedemathelin/importance-weighting-network	true	true	true	tf
https://paperswithcode.com/paper/policy-bifurcation-in-safe-reinforcement	Policy Bifurcation in Safe Reinforcement Learning	2403.12847	https://arxiv.org/abs/2403.12847v3	https://arxiv.org/pdf/2403.12847v3.pdf	https://github.com/thuzouwenjun/mupo	true	true	false	pytorch
https://paperswithcode.com/paper/exploring-the-potential-of-multimodal-llm	Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR	2406.10880	https://arxiv.org/abs/2406.10880v2	https://arxiv.org/pdf/2406.10880v2.pdf	https://github.com/yuriak/ms-asr	true	true	true	none
https://paperswithcode.com/paper/mcunetv2-memory-efficient-patch-based	MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning	2110.15352	https://arxiv.org/abs/2110.15352v2	https://arxiv.org/pdf/2110.15352v2.pdf	https://github.com/mit-han-lab/mcunet	false	false	true	tf
https://paperswithcode.com/paper/on-device-training-under-256kb-memory	On-Device Training Under 256KB Memory	2206.15472	https://arxiv.org/abs/2206.15472v4	https://arxiv.org/pdf/2206.15472v4.pdf	https://github.com/mit-han-lab/mcunet	false	false	true	tf
https://paperswithcode.com/paper/secure-shapley-value-for-cross-silo-federated	Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)	2209.04856	https://arxiv.org/abs/2209.04856v5	https://arxiv.org/pdf/2209.04856v5.pdf	https://github.com/teijyogen/secsv	true	true	true	pytorch
https://paperswithcode.com/paper/neural-bayesian-network-understudy	Neural Bayesian Network Understudy	2211.08243	https://arxiv.org/abs/2211.08243v1	https://arxiv.org/pdf/2211.08243v1.pdf	https://github.com/prabaey/nbn-understudy	true	true	true	pytorch
https://paperswithcode.com/paper/constraints-on-the-cosmic-expansion-history	Constraints on the cosmic expansion history from GWTC-3	2111.03604	https://arxiv.org/abs/2111.03604v2	https://arxiv.org/pdf/2111.03604v2.pdf	https://github.com/mariapalfi/gwcosmo_coasting	false	false	true	none
https://paperswithcode.com/paper/dynamic-multi-scale-convolution-for-dialect	Dynamic Multi-scale Convolution for Dialect Identification	2108.07787	https://arxiv.org/abs/2108.07787v1	https://arxiv.org/pdf/2108.07787v1.pdf	https://github.com/yuyq96/d-tdnn	false	false	true	pytorch
https://paperswithcode.com/paper/variational-beam-search-for-online-learning	Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning	2012.08101	https://arxiv.org/abs/2012.08101v3	https://arxiv.org/pdf/2012.08101v3.pdf	https://github.com/mandt-lab/variational-beam-search	true	false	false	tf
https://paperswithcode.com/paper/improving-children-s-speech-recognition-by	Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations	2211.07769	https://arxiv.org/abs/2211.07769v1	https://arxiv.org/pdf/2211.07769v1.pdf	https://github.com/monomest/thesis	true	true	false	pytorch
https://paperswithcode.com/paper/probabilistic-auto-encoder	Probabilistic Autoencoder	2006.05479	https://arxiv.org/abs/2006.05479v4	https://arxiv.org/pdf/2006.05479v4.pdf	https://github.com/vmboehm/pae-ablation	true	true	true	tf
https://paperswithcode.com/paper/distribution-inference-risks-identifying-and	Distribution inference risks: Identifying and mitigating sources of leakage	2209.08541	https://arxiv.org/abs/2209.08541v1	https://arxiv.org/pdf/2209.08541v1.pdf	https://github.com/epfl-dlab/property-inference-attacks	true	true	true	pytorch
https://paperswithcode.com/paper/fastclass-a-time-efficient-approach-to-weakly	FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification	2212.05506	https://arxiv.org/abs/2212.05506v2	https://arxiv.org/pdf/2212.05506v2.pdf	https://github.com/xiatingyu/fastclass	true	true	false	pytorch
https://paperswithcode.com/paper/formalizing-distribution-inference-risks	Formalizing Distribution Inference Risks	2106.03699	https://arxiv.org/abs/2106.03699v4	https://arxiv.org/pdf/2106.03699v4.pdf	https://github.com/epfl-dlab/property-inference-attacks	false	false	true	pytorch
https://paperswithcode.com/paper/towards-a-perceptual-evaluation-framework-for	Towards a Perceptual Evaluation Framework for Lighting Estimation	2312.04334	https://arxiv.org/abs/2312.04334v3	https://arxiv.org/pdf/2312.04334v3.pdf	https://github.com/JustineGiroux/Lightsome	true	false	false	none
https://paperswithcode.com/paper/improving-rare-word-translation-with	Improving Rare Word Translation With Dictionaries and Attention Masking	2408.09075	https://arxiv.org/abs/2408.09075v2	https://arxiv.org/pdf/2408.09075v2.pdf	https://github.com/kennethsible/dictionary-attention	true	true	false	pytorch
https://paperswithcode.com/paper/high-stable-and-accurate-vehicle-selection	High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks	2208.01890	https://arxiv.org/abs/2208.01890v2	https://arxiv.org/pdf/2208.01890v2.pdf	https://github.com/qiongwu86/Vehicle-selection	true	true	false	tf
https://paperswithcode.com/paper/interactively-generating-explanations-for	Interactively Providing Explanations for Transformer Language Models	2110.02058	https://arxiv.org/abs/2110.02058v4	https://arxiv.org/pdf/2110.02058v4.pdf	https://github.com/felifri/xaitransformer	true	true	false	pytorch
https://paperswithcode.com/paper/usln-a-statistically-guided-lightweight	USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretch	2209.02221	https://arxiv.org/abs/2209.02221v1	https://arxiv.org/pdf/2209.02221v1.pdf	https://github.com/deepxzy/usln	true	true	true	pytorch
https://paperswithcode.com/paper/rethinking-causal-relationships-learning-in	Rethinking Causal Relationships Learning in Graph Neural Networks	2312.09613	https://arxiv.org/abs/2312.09613v1	https://arxiv.org/pdf/2312.09613v1.pdf	https://github.com/yaoyao-yaoyao-cell/crcg	true	true	false	pytorch
https://paperswithcode.com/paper/gnmr-a-provable-one-line-algorithm-for-low	GNMR: A provable one-line algorithm for low rank matrix recovery	2106.12933	https://arxiv.org/abs/2106.12933v3	https://arxiv.org/pdf/2106.12933v3.pdf	https://github.com/pizilber/GNMR	true	true	true	none
https://paperswithcode.com/paper/learning-from-the-dark-boosting-graph	Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples	2210.00728	https://arxiv.org/abs/2210.00728v1	https://arxiv.org/pdf/2210.00728v1.pdf	https://github.com/Wei9711/NegGCNs	true	false	false	none
https://paperswithcode.com/paper/towards-reliable-predictive-analytics-a	Towards reliable predictive analytics: a generalized calibration framework	2309.08559	https://arxiv.org/abs/2309.08559v1	https://arxiv.org/pdf/2309.08559v1.pdf	https://github.com/bavodc/papergeneralizedcalibrationcurves	true	true	false	none
https://paperswithcode.com/paper/privileged-knowledge-distillation-for-sim-to	Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective	2305.18464	https://arxiv.org/abs/2305.18464v2	https://arxiv.org/pdf/2305.18464v2.pdf	https://github.com/tinnerhrhe/HIB_Policy	true	false	true	none
https://paperswithcode.com/paper/leandojo-theorem-proving-with-retrieval-1	LeanDojo: Theorem Proving with Retrieval-Augmented Language Models	2306.15626	https://arxiv.org/abs/2306.15626v2	https://arxiv.org/pdf/2306.15626v2.pdf	https://github.com/lean-dojo/leandojochatgpt	true	true	false	none
https://paperswithcode.com/paper/motor-crosslinking-augments-elasticity-in	Motor crosslinking augments elasticity in active nematics	2308.16831	https://arxiv.org/abs/2308.16831v1	https://arxiv.org/pdf/2308.16831v1.pdf	https://github.com/gardel-lab/responsefunction	true	true	false	none
https://paperswithcode.com/paper/floquet-theory-and-stability-for-hamiltonian	Floquet theory and stability for Hamiltonian partial differential equations	2309.03962	https://arxiv.org/abs/2309.03962v1	https://arxiv.org/pdf/2309.03962v1.pdf	https://github.com/JaredCBronski/Hamiltonian-Floquet	true	false	false	none
https://paperswithcode.com/paper/ideal-improved-dense-local-contrastive	IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation	2210.15075	https://arxiv.org/abs/2210.15075v2	https://arxiv.org/pdf/2210.15075v2.pdf	https://github.com/rohit-kundu/ideal-icassp23	true	true	true	none
https://paperswithcode.com/paper/on-a-three-dimensional-and-two-four	On a three-dimensional and two four-dimensional oncolytic viro-therapy models	2210.00401	https://arxiv.org/abs/2210.00401v1	https://arxiv.org/pdf/2210.00401v1.pdf	https://github.com/rim-adenane/oncolytic-viro-therapy-models-m	true	true	false	none
https://paperswithcode.com/paper/pesotif-a-challenging-visual-dataset-for	PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios	2211.03402	https://arxiv.org/abs/2211.03402v1	https://arxiv.org/pdf/2211.03402v1.pdf	https://github.com/sotif-avlab/pesotif	true	true	true	none
https://paperswithcode.com/paper/mmdetection-open-mmlab-detection-toolbox-and	MMDetection: Open MMLab Detection Toolbox and Benchmark	1906.07155	https://arxiv.org/abs/1906.07155v1	https://arxiv.org/pdf/1906.07155v1.pdf	https://github.com/sotif-avlab/pesotif	false	false	true	none
https://paperswithcode.com/paper/bert-and-pals-projected-attention-layers-for	BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning	1902.02671	https://arxiv.org/abs/1902.02671v2	https://arxiv.org/pdf/1902.02671v2.pdf	https://github.com/josselinsomervilleroberts/ptsl	false	false	true	pytorch
https://paperswithcode.com/paper/sotif-entropy-online-sotif-risk	SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving	2211.04009	https://arxiv.org/abs/2211.04009v1	https://arxiv.org/pdf/2211.04009v1.pdf	https://github.com/sotif-avlab/pesotif	true	true	true	none
https://paperswithcode.com/paper/odd-a-benchmark-dataset-for-the-nlp-based	ODD: A Benchmark Dataset for the Natural Language Processing based Opioid Related Aberrant Behavior Detection	2307.02591	https://arxiv.org/abs/2307.02591v4	https://arxiv.org/pdf/2307.02591v4.pdf	https://github.com/soon91jae/orab_mimic	true	true	false	pytorch
https://paperswithcode.com/paper/convnext-v2-co-designing-and-scaling-convnets	ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders	2301.00808	https://arxiv.org/abs/2301.00808v1	https://arxiv.org/pdf/2301.00808v1.pdf	https://github.com/facebookresearch/convnext-v2	true	true	true	pytorch
https://paperswithcode.com/paper/text2traj2text-learning-by-synthesis	Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories	2409.12670	https://arxiv.org/abs/2409.12670v1	https://arxiv.org/pdf/2409.12670v1.pdf	https://github.com/cyberagentailab/text2traj2text	true	true	true	jax
https://paperswithcode.com/paper/qmes-derivation-mathematica-package-for-the	QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations	2102.01410	https://arxiv.org/abs/2102.01410v2	https://arxiv.org/pdf/2102.01410v2.pdf	https://github.com/QMeS-toolbox/QMeS-Derivation	false	false	true	none
https://paperswithcode.com/paper/integrative-imaging-informatics-for-cancer	Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)	2210.03151	https://arxiv.org/abs/2210.03151v1	https://arxiv.org/pdf/2210.03151v1.pdf	https://github.com/satrajitgithub/nrg_ai_neuroonco_segment	true	true	true	none
https://paperswithcode.com/paper/hyperparameter-optimization-as-a-service-on	Hyperparameter Optimization as a Service on INFN Cloud	2301.05522	https://arxiv.org/abs/2301.05522v3	https://arxiv.org/pdf/2301.05522v3.pdf	https://github.com/landerlini/hopaas_client	false	false	false	none
https://paperswithcode.com/paper/a-multi-head-model-for-continual-learning-via	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay	2208.09734	https://arxiv.org/abs/2208.09734v1	https://arxiv.org/pdf/2208.09734v1.pdf	https://github.com/k-gyuhak/clom	false	false	true	pytorch
https://paperswithcode.com/paper/self-supervised-predictive-convolutional	Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection	2111.09099	https://arxiv.org/abs/2111.09099v6	https://arxiv.org/pdf/2111.09099v6.pdf	https://github.com/wasve/DRAEM-SSPCAB	false	false	false	mindspore
https://paperswithcode.com/paper/ds-k3dom-3-d-dynamic-occupancy-mapping-with	DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory	2209.07764	https://arxiv.org/abs/2209.07764v2	https://arxiv.org/pdf/2209.07764v2.pdf	https://github.com/JuyeopHan/dsk3dom_public	true	true	true	none
https://paperswithcode.com/paper/deep-residual-learning-for-image-recognition	Deep Residual Learning for Image Recognition	1512.03385	http://arxiv.org/abs/1512.03385v1	http://arxiv.org/pdf/1512.03385v1.pdf	https://github.com/code-implementation1/Code5/tree/main/lresnet100e_ir	false	false	false	mindspore
https://paperswithcode.com/paper/diffmatch-diffusion-model-for-dense-matching	Diffusion Model for Dense Matching	2305.19094	https://arxiv.org/abs/2305.19094v2	https://arxiv.org/pdf/2305.19094v2.pdf	https://github.com/KU-CVLAB/DiffMatch	true	false	true	pytorch
https://paperswithcode.com/paper/cute-lock-behavioral-and-structural-multi-key	Cute-Lock: Behavioral and Structural Multi-Key Logic Locking Using Time Base Keys	2501.17402	https://arxiv.org/abs/2501.17402v1	https://arxiv.org/pdf/2501.17402v1.pdf	https://github.com/cars-lab-repo/cute-lock	true	true	false	none
https://paperswithcode.com/paper/desed-dialogue-based-explanation-for-sentence	DESED: Dialogue-based Explanation for Sentence-level Event Detection	null	https://aclanthology.org/2022.coling-1.219	https://aclanthology.org/2022.coling-1.219.pdf	https://github.com/ydongd/desed	true	true	false	pytorch
https://paperswithcode.com/paper/mc-mlp-multiple-coordinate-frames-in-all-mlp	MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for Vision	2304.03917	https://arxiv.org/abs/2304.03917v1	https://arxiv.org/pdf/2304.03917v1.pdf	https://github.com/zzm11/mc-mlp	true	true	false	pytorch
https://paperswithcode.com/paper/rigorous-dynamical-mean-field-theory-for	Rigorous dynamical mean field theory for stochastic gradient descent methods	2210.06591	https://arxiv.org/abs/2210.06591v3	https://arxiv.org/pdf/2210.06591v3.pdf	https://github.com/spoc-group/rigorous-dynamical-mean-field-theory	true	true	false	none
https://paperswithcode.com/paper/utilizing-supervised-models-to-infer	CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators	2210.06812	https://arxiv.org/abs/2210.06812v2	https://arxiv.org/pdf/2210.06812v2.pdf	https://github.com/cleanlab/multiannotator-benchmarks	true	true	true	none
https://paperswithcode.com/paper/convolutional-conditional-neural-processes-1	Convolutional Conditional Neural Processes	1910.13556	https://arxiv.org/abs/1910.13556v5	https://arxiv.org/pdf/1910.13556v5.pdf	https://github.com/peterholderrieth/steerable_cnps	false	false	true	pytorch
https://paperswithcode.com/paper/divide-and-contrast-source-free-domain	Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning	2211.06612	https://arxiv.org/abs/2211.06612v1	https://arxiv.org/pdf/2211.06612v1.pdf	https://github.com/zyezhang/dac	true	true	true	pytorch
https://paperswithcode.com/paper/pkcam-previous-knowledge-channel-attention-1	PKCAM: Previous Knowledge Channel Attention Module	2211.07521	https://arxiv.org/abs/2211.07521v2	https://arxiv.org/pdf/2211.07521v2.pdf	https://github.com/eslambakr/emca	true	true	false	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.