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/dynamic-dual-attentive-aggregation-learning	Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification	2007.09314	https://arxiv.org/abs/2007.09314v1	https://arxiv.org/pdf/2007.09314v1.pdf	https://github.com/mangye16/DDAG	true	true	true	pytorch
https://paperswithcode.com/paper/playing-chess-with-limited-look-ahead	Playing Chess with Limited Look Ahead	2007.02130	https://arxiv.org/abs/2007.02130v1	https://arxiv.org/pdf/2007.02130v1.pdf	https://github.com/ArmanMaesumi/LimitedLookAheadChess	true	true	true	tf
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/Jitensid/Neural-Style-Transfer	false	false	true	tf
https://paperswithcode.com/paper/graph-neural-network-for-traffic-forecasting	Graph Neural Network for Traffic Forecasting: A Survey	2101.11174	https://arxiv.org/abs/2101.11174v4	https://arxiv.org/pdf/2101.11174v4.pdf	https://github.com/zhiyongc/Seattle-Loop-Data	true	true	false	none
https://paperswithcode.com/paper/additive-noise-annealing-and-approximation	Additive Noise Annealing and Approximation Properties of Quantized Neural Networks	1905.10452	https://arxiv.org/abs/1905.10452v1	https://arxiv.org/pdf/1905.10452v1.pdf	https://github.com/spallanzanimatteo/QuantLab	true	true	true	pytorch
https://paperswithcode.com/paper/geometric-anomaly-detection-in-data	Geometric anomaly detection in data	1908.09397	https://arxiv.org/abs/1908.09397v1	https://arxiv.org/pdf/1908.09397v1.pdf	https://github.com/stolzbernadette/Geometric-Anomalies	false	false	true	none
https://paperswithcode.com/paper/fast-and-accurate-model-scaling	Fast and Accurate Model Scaling	2103.06877	https://arxiv.org/abs/2103.06877v1	https://arxiv.org/pdf/2103.06877v1.pdf	https://github.com/tuggeluk/pycls	false	false	true	pytorch
https://paperswithcode.com/paper/exact-hard-monotonic-attention-for-character	Exact Hard Monotonic Attention for Character-Level Transduction	1905.06319	https://arxiv.org/abs/1905.06319v3	https://arxiv.org/pdf/1905.06319v3.pdf	https://github.com/AssafSinger94/sigmorphon-2020-inflection	false	false	true	pytorch
https://paperswithcode.com/paper/solving-large-scale-structure-in-ten-easy	Solving Large Scale Structure in Ten Easy Steps with COLA	1301.0322	https://arxiv.org/abs/1301.0322v1	https://arxiv.org/pdf/1301.0322v1.pdf	https://github.com/HAWinther/MG-PICOLA-PUBLIC	false	false	true	none
https://paperswithcode.com/paper/hierarchical-multi-head-attentive-network-for	Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection	2102.02680	https://arxiv.org/abs/2102.02680v1	https://arxiv.org/pdf/2102.02680v1.pdf	https://github.com/nguyenvo09/EACL2021	true	true	false	pytorch
https://paperswithcode.com/paper/objects-as-points	Objects as Points	1904.07850	http://arxiv.org/abs/1904.07850v2	http://arxiv.org/pdf/1904.07850v2.pdf	https://github.com/PingoLH/CenterNet-HarDNet	false	false	true	pytorch
https://paperswithcode.com/paper/hardnet-a-low-memory-traffic-network	HarDNet: A Low Memory Traffic Network	1909.00948	https://arxiv.org/abs/1909.00948v1	https://arxiv.org/pdf/1909.00948v1.pdf	https://github.com/PingoLH/CenterNet-HarDNet	false	false	true	pytorch
https://paperswithcode.com/paper/cross-domain-adaptation-of-spoken-language	Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages	2008.00545	https://arxiv.org/abs/2008.00545v2	https://arxiv.org/pdf/2008.00545v2.pdf	https://github.com/uds-lsv/da-lang-id	true	true	false	pytorch
https://paperswithcode.com/paper/amortized-synthesis-of-constrained	Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate	2106.09019	https://arxiv.org/abs/2106.09019v2	https://arxiv.org/pdf/2106.09019v2.pdf	https://github.com/xingyuansun/amorsyn	true	true	true	pytorch
https://paperswithcode.com/paper/the-liver-tumor-segmentation-benchmark-lits	The Liver Tumor Segmentation Benchmark (LiTS)	1901.04056	https://arxiv.org/abs/1901.04056v2	https://arxiv.org/pdf/1901.04056v2.pdf	https://github.com/zz10001/LITS2017-main1	false	false	false	pytorch
https://paperswithcode.com/paper/weakly-supervised-generative-network-for	Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses	2008.05770	https://arxiv.org/abs/2008.05770v1	https://arxiv.org/pdf/2008.05770v1.pdf	https://github.com/chaneyddtt/weakly-supervised-3d-pose-generator	true	true	false	tf
https://paperswithcode.com/paper/iterative-surrogate-model-optimization-ismo	Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks	2008.05730	https://arxiv.org/abs/2008.05730v1	https://arxiv.org/pdf/2008.05730v1.pdf	https://github.com/kjetil-lye/iterative_surrogate_optimization	true	true	true	none
https://paperswithcode.com/paper/lac-lstm-autoencoder-with-community-for	LAC : LSTM AUTOENCODER with Community for Insider Threat Detection	2008.05646	https://arxiv.org/abs/2008.05646v1	https://arxiv.org/pdf/2008.05646v1.pdf	https://github.com/smlab-niser/LAC	true	true	false	none
https://paperswithcode.com/paper/composition-based-crystal-materials-symmetry	Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors	2105.07303	https://arxiv.org/abs/2105.07303v1	https://arxiv.org/pdf/2105.07303v1.pdf	https://github.com/usccolumbia/SG_predict	true	false	false	none
https://paperswithcode.com/paper/calculating-elements-of-matrix-functions	Calculating elements of matrix functions using divided differences	2107.14124	https://arxiv.org/abs/2107.14124v2	https://arxiv.org/pdf/2107.14124v2.pdf	https://github.com/LevBarash/MatrixFunctions	true	true	false	none
https://paperswithcode.com/paper/evaluating-protein-transfer-learning-with	Evaluating Protein Transfer Learning with TAPE	1906.08230	https://arxiv.org/abs/1906.08230v1	https://arxiv.org/pdf/1906.08230v1.pdf	https://github.com/googleinterns/protein-embedding-retrieval	false	false	true	jax
https://paperswithcode.com/paper/contextual-lensing-of-universal-sentence	Contextual Lensing of Universal Sentence Representations	2002.08866	https://arxiv.org/abs/2002.08866v1	https://arxiv.org/pdf/2002.08866v1.pdf	https://github.com/googleinterns/protein-embedding-retrieval	false	false	true	jax
https://paperswithcode.com/paper/fixed-length-protein-embeddings-using	Fixed-Length Protein Embeddings using Contextual Lenses	2010.15065	https://arxiv.org/abs/2010.15065v1	https://arxiv.org/pdf/2010.15065v1.pdf	https://github.com/googleinterns/protein-embedding-retrieval	true	true	false	jax
https://paperswithcode.com/paper/beyond-outlier-detection-outlier	Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network	null	https://dl.acm.org/doi/10.1145/3442381.3449868	https://dl.acm.org/doi/10.1145/3442381.3449868	https://github.com/xuhongzuo/outlier-interpretation	false	false	false	pytorch
https://paperswithcode.com/paper/spatialflow-bridging-all-tasks-for-panoptic	SpatialFlow: Bridging All Tasks for Panoptic Segmentation	1910.08787	https://arxiv.org/abs/1910.08787v3	https://arxiv.org/pdf/1910.08787v3.pdf	https://github.com/chensnathan/SpatialFlow	true	true	true	pytorch
https://paperswithcode.com/paper/heuristics-for-inequality-minimization-in	Heuristics for Inequality minimization in PageRank values	2310.18537	https://arxiv.org/abs/2310.18537v2	https://arxiv.org/pdf/2310.18537v2.pdf	https://github.com/puzzlef/pagerank-minimize-inequality	true	true	false	none
https://paperswithcode.com/paper/predicting-radial-velocity-jitter-induced-by	Predicting radial-velocity jitter induced by stellar oscillations based on Kepler data	1807.00096	http://arxiv.org/abs/1807.00096v1	http://arxiv.org/pdf/1807.00096v1.pdf	https://github.com/Jieyu126/Jitter	true	true	false	none
https://paperswithcode.com/paper/echo-syncnet-self-supervised-cardiac-view	Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography	2102.02287	https://arxiv.org/abs/2102.02287v1	https://arxiv.org/pdf/2102.02287v1.pdf	https://github.com/fatemehtd/Echo-SyncNet	true	true	false	tf
https://paperswithcode.com/paper/trifinger-an-open-source-robot-for-learning	TriFinger: An Open-Source Robot for Learning Dexterity	2008.03596	https://arxiv.org/abs/2008.03596v2	https://arxiv.org/pdf/2008.03596v2.pdf	https://github.com/open-dynamic-robot-initiative/trifinger_simulation	false	false	true	none
https://paperswithcode.com/paper/constructing-narrative-event-evolutionary	Constructing Narrative Event Evolutionary Graph for Script Event Prediction	1805.05081	http://arxiv.org/abs/1805.05081v2	http://arxiv.org/pdf/1805.05081v2.pdf	https://github.com/eecrazy/ConstructingNEEG_IJCAI_2018	true	true	true	pytorch
https://paperswithcode.com/paper/kaleidoscope-an-efficient-learnable-1	Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps	2012.14966	https://arxiv.org/abs/2012.14966v2	https://arxiv.org/pdf/2012.14966v2.pdf	https://github.com/HazyResearch/learning-circuits	true	true	false	pytorch
https://paperswithcode.com/paper/guidelines-for-responsible-and-human-centered	Proposed Guidelines for the Responsible Use of Explainable Machine Learning	1906.03533	https://arxiv.org/abs/1906.03533v3	https://arxiv.org/pdf/1906.03533v3.pdf	https://github.com/jphall663/hc_ml	false	false	true	none
https://paperswithcode.com/paper/srda-generating-instance-segmentation	SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain Adaptation	1801.08839	http://arxiv.org/abs/1801.08839v3	http://arxiv.org/pdf/1801.08839v3.pdf	https://github.com/DirtyHarryLYL/SRDA-ECCV2018	true	false	false	none
https://paperswithcode.com/paper/bottom-up-and-top-down-attention-for-image	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	1707.07998	http://arxiv.org/abs/1707.07998v3	http://arxiv.org/pdf/1707.07998v3.pdf	https://github.com/meiqiguo/iccv2021-atypicalitydetection	false	false	true	pytorch
https://paperswithcode.com/paper/efficientnet-rethinking-model-scaling-for	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	1905.11946	https://arxiv.org/abs/1905.11946v5	https://arxiv.org/pdf/1905.11946v5.pdf	https://github.com/darya-baranovskaya/keyword_spotting	false	false	true	pytorch
https://paperswithcode.com/paper/language-id-in-the-wild-unexpected-challenges	Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus	2010.14571	https://arxiv.org/abs/2010.14571v2	https://arxiv.org/pdf/2010.14571v2.pdf	https://github.com/google-research-datasets/TF-IDF-IIF-top100-wordlists	true	true	true	tf
https://paperswithcode.com/paper/ecapa-tdnn-for-multi-speaker-text-to-speech	ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis	2203.10473	https://arxiv.org/abs/2203.10473v2	https://arxiv.org/pdf/2203.10473v2.pdf	https://github.com/2023-MindSpore-1/ms-code-50	false	false	false	mindspore
https://paperswithcode.com/paper/efficient-clustering-based-on-a-unified-view	Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut	null	http://proceedings.neurips.cc/paper/2020/hash/aa108f56a10e75c1f20f27723ecac85f-Abstract.html	http://proceedings.neurips.cc/paper/2020/file/aa108f56a10e75c1f20f27723ecac85f-Paper.pdf	https://github.com/ShenfeiPei/KSUMS	true	true	false	none
https://paperswithcode.com/paper/r-markdown-integrating-a-reproducible	R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics	1402.1894	https://arxiv.org/abs/1402.1894v1	https://arxiv.org/pdf/1402.1894v1.pdf	https://github.com/liibre/curso	false	false	true	none
https://paperswithcode.com/paper/learning-to-adapt-structured-output-space-for	Learning to Adapt Structured Output Space for Semantic Segmentation	1802.10349	https://arxiv.org/abs/1802.10349v3	https://arxiv.org/pdf/1802.10349v3.pdf	https://github.com/buriedms/AdaptSegNet-Paddle	false	false	true	paddle
https://paperswithcode.com/paper/identity-aware-multi-sentence-video	Identity-Aware Multi-Sentence Video Description	2008.09791	https://arxiv.org/abs/2008.09791v1	https://arxiv.org/pdf/2008.09791v1.pdf	https://github.com/jamespark3922/lsmdc-fillin	true	true	true	pytorch
https://paperswithcode.com/paper/lowfer-low-rank-bilinear-pooling-for-link	LowFER: Low-rank Bilinear Pooling for Link Prediction	2008.10858	https://arxiv.org/abs/2008.10858v1	https://arxiv.org/pdf/2008.10858v1.pdf	https://github.com/suamin/LowFER	true	true	false	pytorch
https://paperswithcode.com/paper/revphiseg-a-memory-efficient-neural-network	RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation	2008.06999	https://arxiv.org/abs/2008.06999v2	https://arxiv.org/pdf/2008.06999v2.pdf	https://github.com/gigantenbein/UNet-Zoo	true	true	true	pytorch
https://paperswithcode.com/paper/learning-to-reason-in-round-based-games-multi	Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters	2008.05131	https://arxiv.org/abs/2008.05131v1	https://arxiv.org/pdf/2008.05131v1.pdf	https://github.com/derenlei/CS_Net	true	true	true	pytorch
https://paperswithcode.com/paper/covid-19-data-analysis-and-forecasting	COVID-19 Data Analysis and Forecasting: Algeria and the World	2007.09755	https://arxiv.org/abs/2007.09755v2	https://arxiv.org/pdf/2007.09755v2.pdf	https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset	true	true	false	none
https://paperswithcode.com/paper/unsupervised-learning-of-particle-image	Unsupervised Learning of Particle Image Velocimetry	2007.14487	https://arxiv.org/abs/2007.14487v1	https://arxiv.org/pdf/2007.14487v1.pdf	https://github.com/erizmr/UnLiteFlowNet-PIV	true	true	true	pytorch
https://paperswithcode.com/paper/robust-ego-and-object-6-dof-motion-estimation	Robust Ego and Object 6-DoF Motion Estimation and Tracking	2007.13993	https://arxiv.org/abs/2007.13993v1	https://arxiv.org/pdf/2007.13993v1.pdf	https://github.com/halajun/multimot_track	true	true	true	none
https://paperswithcode.com/paper/xinggan-for-person-image-generation	XingGAN for Person Image Generation	2007.09278	https://arxiv.org/abs/2007.09278v1	https://arxiv.org/pdf/2007.09278v1.pdf	https://github.com/Ha0Tang/XingGAN	true	true	true	pytorch
https://paperswithcode.com/paper/learning-to-match-distributions-for-domain	Learning to Match Distributions for Domain Adaptation	2007.10791	https://arxiv.org/abs/2007.10791v3	https://arxiv.org/pdf/2007.10791v3.pdf	https://github.com/jindongwang/transferlearning	true	true	true	pytorch
https://paperswithcode.com/paper/shape-prior-deformation-for-categorical-6d	Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation	2007.08454	https://arxiv.org/abs/2007.08454v1	https://arxiv.org/pdf/2007.08454v1.pdf	https://github.com/mentian/object-deformnet	true	true	true	pytorch
https://paperswithcode.com/paper/mixture-complexity-and-its-application-to	Mixture Complexity and Its Application to Gradual Clustering Change Detection	2007.07467	https://arxiv.org/abs/2007.07467v1	https://arxiv.org/pdf/2007.07467v1.pdf	https://github.com/ShunkiKyoya/MixtureComplexity	true	true	false	none
https://paperswithcode.com/paper/semi-siamese-training-for-shallow-face	Semi-Siamese Training for Shallow Face Learning	2007.08398	https://arxiv.org/abs/2007.08398v1	https://arxiv.org/pdf/2007.08398v1.pdf	https://github.com/dituu/Semi-Siamese-Training	true	true	true	pytorch
https://paperswithcode.com/paper/patch-wise-attack-for-fooling-deep-neural	Patch-wise Attack for Fooling Deep Neural Network	2007.06765	https://arxiv.org/abs/2007.06765v3	https://arxiv.org/pdf/2007.06765v3.pdf	https://github.com/qilong-zhang/Patch-wise-iterative-attack	true	true	true	tf
https://paperswithcode.com/paper/template-based-question-generation-from	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering	2004.11892	https://arxiv.org/abs/2004.11892v1	https://arxiv.org/pdf/2004.11892v1.pdf	https://github.com/awslabs/unsupervised-qa	true	true	true	none
https://paperswithcode.com/paper/certifying-joint-adversarial-robustness-for	Certifying Joint Adversarial Robustness for Model Ensembles	2004.10250	https://arxiv.org/abs/2004.10250v1	https://arxiv.org/pdf/2004.10250v1.pdf	https://github.com/jonas-maj/ensemble-adversarial-robustness	true	true	true	pytorch
https://paperswithcode.com/paper/lrtd-long-range-temporal-dependency-based	LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition	2004.09845	https://arxiv.org/abs/2004.09845v2	https://arxiv.org/pdf/2004.09845v2.pdf	https://github.com/xmichelleshihx/AL-LRTD	true	true	true	pytorch
https://paperswithcode.com/paper/simalign-high-quality-word-alignments-without	SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings	2004.08728	https://arxiv.org/abs/2004.08728v4	https://arxiv.org/pdf/2004.08728v4.pdf	https://github.com/masoudjs/simalign	true	true	true	pytorch
https://paperswithcode.com/paper/a-novel-cnn-based-method-for-accurate-ship	A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box	2004.07124	https://arxiv.org/abs/2004.07124v2	https://arxiv.org/pdf/2004.07124v2.pdf	https://github.com/lilinhao/ShipDetection	true	true	false	none
https://paperswithcode.com/paper/geomstats-a-python-package-for-riemannian-2	Geomstats: A Python Package for Riemannian Geometry in Machine Learning	2004.04667	https://arxiv.org/abs/2004.04667v1	https://arxiv.org/pdf/2004.04667v1.pdf	https://github.com/geomstats/geomstats	true	true	true	pytorch
https://paperswithcode.com/paper/a-systematic-analysis-of-morphological	A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages	2004.03032	https://arxiv.org/abs/2004.03032v1	https://arxiv.org/pdf/2004.03032v1.pdf	https://github.com/danedmiston/morphology_classifiers	true	true	false	pytorch
https://paperswithcode.com/paper/self-supervised-viewpoint-learning-from-image	Self-Supervised Viewpoint Learning From Image Collections	2004.01793	https://arxiv.org/abs/2004.01793v1	https://arxiv.org/pdf/2004.01793v1.pdf	https://github.com/NVlabs/SSV	true	true	true	pytorch
https://paperswithcode.com/paper/disentangling-and-unifying-graph-convolutions	Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition	2003.14111	https://arxiv.org/abs/2003.14111v2	https://arxiv.org/pdf/2003.14111v2.pdf	https://github.com/kenziyuliu/ms-g3d	true	true	true	pytorch
https://paperswithcode.com/paper/real-time-detection-of-dictionary-dga-network	Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning	2003.12805	https://arxiv.org/abs/2003.12805v1	https://arxiv.org/pdf/2003.12805v1.pdf	https://github.com/jinxmirror13/bilbo-bagging-hybrid	true	true	true	tf
https://paperswithcode.com/paper/2003-13328	Strip Pooling: Rethinking Spatial Pooling for Scene Parsing	2003.13328	https://arxiv.org/abs/2003.13328v1	https://arxiv.org/pdf/2003.13328v1.pdf	https://github.com/Andrew-Qibin/SPNet	true	true	true	pytorch
https://paperswithcode.com/paper/masked-face-recognition-dataset-and	Masked Face Recognition Dataset and Application	2003.09093	https://arxiv.org/abs/2003.09093v2	https://arxiv.org/pdf/2003.09093v2.pdf	https://github.com/X-zhangyang/Real-World-Masked-Face-Dataset	true	true	true	none
https://paperswithcode.com/paper/adversarial-texture-optimization-from-rgb-d	Adversarial Texture Optimization from RGB-D Scans	2003.08400	https://arxiv.org/abs/2003.08400v1	https://arxiv.org/pdf/2003.08400v1.pdf	https://github.com/hjwdzh/AdversarialTexture	true	true	false	tf
https://paperswithcode.com/paper/covid-19-the-first-public-coronavirus-twitter	COVID-19: The First Public Coronavirus Twitter Dataset	2003.07372	https://arxiv.org/abs/2003.07372v1	https://arxiv.org/pdf/2003.07372v1.pdf	https://github.com/echen102/COVID-19-TweetIDs	true	true	true	none
https://paperswithcode.com/paper/semantically-enriched-search-engine-for	Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online	2003.06561	https://arxiv.org/abs/2003.06561v1	https://arxiv.org/pdf/2003.06561v1.pdf	https://github.com/gengchenmai/arcgis-online-search-engine	true	true	false	none
https://paperswithcode.com/paper/caesar-source-finder-recent-developments-and	CAESAR source finder: recent developments and testing	1909.06116	https://arxiv.org/abs/1909.06116v1	https://arxiv.org/pdf/1909.06116v1.pdf	https://github.com/SKA-INAF/caesar	true	true	false	none
https://paperswithcode.com/paper/select-and-attend-towards-controllable	Select and Attend: Towards Controllable Content Selection in Text Generation	1909.04453	https://arxiv.org/abs/1909.04453v1	https://arxiv.org/pdf/1909.04453v1.pdf	https://github.com/chin-gyou/controllable-selection	true	true	false	pytorch
https://paperswithcode.com/paper/3dsiamesenet-to-analyze-brain-mri	3DSiameseNet to Analyze Brain MRI	1909.01098	https://arxiv.org/abs/1909.01098v1	https://arxiv.org/pdf/1909.01098v1.pdf	https://github.com/morphoboid/3D-SiameseNet	true	true	false	tf
https://paperswithcode.com/paper/relation-aware-entity-alignment-for	Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs	1908.08210	https://arxiv.org/abs/1908.08210v1	https://arxiv.org/pdf/1908.08210v1.pdf	https://github.com/StephanieWyt/RDGCN	true	true	true	tf
https://paperswithcode.com/paper/190807836	PubLayNet: largest dataset ever for document layout analysis	1908.07836	https://arxiv.org/abs/1908.07836v1	https://arxiv.org/pdf/1908.07836v1.pdf	https://github.com/ibm-aur-nlp/PubLayNet	true	true	true	none
https://paperswithcode.com/paper/prosodic-phrase-alignment-for-machine-dubbing	Prosodic Phrase Alignment for Machine Dubbing	1908.07226	https://arxiv.org/abs/1908.07226v1	https://arxiv.org/pdf/1908.07226v1.pdf	https://github.com/alpoktem/MachineDub	true	true	true	none
https://paperswithcode.com/paper/videonavqa-bridging-the-gap-between-visual	VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering	1908.04950	https://arxiv.org/abs/1908.04950v1	https://arxiv.org/pdf/1908.04950v1.pdf	https://github.com/catalina17/VideoNavQA	true	true	true	pytorch
https://paperswithcode.com/paper/domain-specific-embedding-network-for-zero	Domain-Specific Embedding Network for Zero-Shot Recognition	1908.04174	https://arxiv.org/abs/1908.04174v1	https://arxiv.org/pdf/1908.04174v1.pdf	https://github.com/mboboGO/DSEN-for-GZSL	true	true	false	pytorch
https://paperswithcode.com/paper/consensus-maximization-tree-search-revisited	Consensus Maximization Tree Search Revisited	1908.02021	https://arxiv.org/abs/1908.02021v3	https://arxiv.org/pdf/1908.02021v3.pdf	https://github.com/ZhipengCai/MaxConTreeSearch	true	true	true	none
https://paperswithcode.com/paper/blebeacon-a-real-subject-trial-dataset-from	BLEBeacon: A Real-Subject Trial Dataset from Mobile Bluetooth Low Energy Beacons	1802.08782	https://arxiv.org/abs/1802.08782v2	https://arxiv.org/pdf/1802.08782v2.pdf	https://github.com/dimisik/BLEBeacon-Dataset	true	true	true	none
https://paperswithcode.com/paper/biological-and-shortest-path-routing	Biological and Shortest-Path Routing Procedures for Transportation Network Design	1803.03528	http://arxiv.org/abs/1803.03528v1	http://arxiv.org/pdf/1803.03528v1.pdf	https://github.com/fqueyroi/tulip_plugins	true	true	true	none
https://paperswithcode.com/paper/viable-dependency-parsing-as-sequence	Viable Dependency Parsing as Sequence Labeling	1902.10505	http://arxiv.org/abs/1902.10505v2	http://arxiv.org/pdf/1902.10505v2.pdf	https://github.com/mstrise/dep2label	true	true	false	pytorch
https://paperswithcode.com/paper/the-state-of-sparsity-in-deep-neural-networks	The State of Sparsity in Deep Neural Networks	1902.09574	http://arxiv.org/abs/1902.09574v1	http://arxiv.org/pdf/1902.09574v1.pdf	https://github.com/ars-ashuha/variational-dropout-sparsifies-dnn	true	false	true	tf
https://paperswithcode.com/paper/from-dark-matter-to-galaxies-with	From Dark Matter to Galaxies with Convolutional Networks	1902.05965	http://arxiv.org/abs/1902.05965v2	http://arxiv.org/pdf/1902.05965v2.pdf	https://github.com/xz2139/From-Dark-Matter-to-Galaxies-with-Convolutional-Networks	true	true	false	pytorch
https://paperswithcode.com/paper/forensic-similarity-for-digital-images	Forensic Similarity for Digital Images	1902.04684	https://arxiv.org/abs/1902.04684v2	https://arxiv.org/pdf/1902.04684v2.pdf	https://gitlab.com/MISLgit/forensic-similarity-for-digital-images	true	true	false	tf
https://paperswithcode.com/paper/out-of-sample-testing-for-gans	Out-of-Sample Testing for GANs	1901.09557	http://arxiv.org/abs/1901.09557v1	http://arxiv.org/pdf/1901.09557v1.pdf	https://github.com/psanch21/EvalGAN	true	true	false	tf
https://paperswithcode.com/paper/active-learning-with-gaussian-processes-for	Active Learning with Gaussian Processes for High Throughput Phenotyping	1901.06803	http://arxiv.org/abs/1901.06803v1	http://arxiv.org/pdf/1901.06803v1.pdf	https://github.com/sumitsk/algp	true	true	true	pytorch
https://paperswithcode.com/paper/domain-adaptation-for-semg-based-gesture	Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks	1901.06958	https://arxiv.org/abs/1901.06958v2	https://arxiv.org/pdf/1901.06958v2.pdf	https://github.com/ketyi/2SRNN	true	true	true	tf
https://paperswithcode.com/paper/metadata-embeddings-for-user-and-item-cold	Metadata Embeddings for User and Item Cold-start Recommendations	1507.08439	http://arxiv.org/abs/1507.08439v1	http://arxiv.org/pdf/1507.08439v1.pdf	https://github.com/lyst/lightfm	true	true	false	none
https://paperswithcode.com/paper/image-super-resolution-using-very-deep	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	1807.02758	http://arxiv.org/abs/1807.02758v2	http://arxiv.org/pdf/1807.02758v2.pdf	https://github.com/yulunzhang/RCAN	true	true	true	pytorch
https://paperswithcode.com/paper/steganalysis-via-a-convolutional-neural	Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key	1605.07946	http://arxiv.org/abs/1605.07946v3	http://arxiv.org/pdf/1605.07946v3.pdf	https://github.com/rcouturier/steganalysis_with_deep_learning	true	true	true	torch
https://paperswithcode.com/paper/knowledge-matters-importance-of-prior	Knowledge Matters: Importance of Prior Information for Optimization	1301.4083	http://arxiv.org/abs/1301.4083v6	http://arxiv.org/pdf/1301.4083v6.pdf	https://github.com/caglar/structured_mlp	true	true	false	none
https://paperswithcode.com/paper/off-policy-general-value-functions-to	Off-Policy General Value Functions to Represent Dynamic Role Assignments in RoboCup 3D Soccer Simulation	1402.4525	http://arxiv.org/abs/1402.4525v1	http://arxiv.org/pdf/1402.4525v1.pdf	https://github.com/samindaa/RLLib	true	true	false	none
https://paperswithcode.com/paper/echoes-of-persuasion-the-effect-of-euphony-in	Echoes of Persuasion: The Effect of Euphony in Persuasive Communication	1508.05817	http://arxiv.org/abs/1508.05817v1	http://arxiv.org/pdf/1508.05817v1.pdf	https://github.com/marcoguerini/paired_datasets_for_persuasion	true	false	false	none
https://paperswithcode.com/paper/an-ensemble-method-to-produce-high-quality	An Ensemble Method to Produce High-Quality Word Embeddings (2016)	1604.01692	https://arxiv.org/abs/1604.01692v2	https://arxiv.org/pdf/1604.01692v2.pdf	https://github.com/LuminosoInsight/conceptnet-vector-ensemble	true	true	false	none
https://paperswithcode.com/paper/orientation-driven-bag-of-appearances-for	Orientation Driven Bag of Appearances for Person Re-identification	1605.02464	http://arxiv.org/abs/1605.02464v1	http://arxiv.org/pdf/1605.02464v1.pdf	https://github.com/charliememory/PKU-Reid-Dataset	true	true	false	none
https://paperswithcode.com/paper/wide-deep-learning-for-recommender-systems	Wide & Deep Learning for Recommender Systems	1606.07792	http://arxiv.org/abs/1606.07792v1	http://arxiv.org/pdf/1606.07792v1.pdf	https://github.com/fengtong-xiao/DMBGN	false	false	true	pytorch
https://paperswithcode.com/paper/intraoperative-margin-assessment-of-human	Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks	1703.10827	http://arxiv.org/abs/1703.10827v1	http://arxiv.org/pdf/1703.10827v1.pdf	https://github.com/AmalRT/DNN_Reg	true	true	true	none
https://paperswithcode.com/paper/stick-breaking-variational-autoencoders	Stick-Breaking Variational Autoencoders	1605.06197	http://arxiv.org/abs/1605.06197v3	http://arxiv.org/pdf/1605.06197v3.pdf	https://github.com/enalisnick/stick-breaking_dgms	true	true	true	none
https://paperswithcode.com/paper/msht-multi-stage-hybrid-transformer-for-the	MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer	2112.13513	https://arxiv.org/abs/2112.13513v1	https://arxiv.org/pdf/2112.13513v1.pdf	https://github.com/sagizty/multi-stage-hybrid-transformer	true	true	false	pytorch
https://paperswithcode.com/paper/expressive-explanations-of-dnns-by-combining	Expressive Explanations of DNNs by Combining Concept Analysis with ILP	2105.07371	https://arxiv.org/abs/2105.07371v1	https://arxiv.org/pdf/2105.07371v1.pdf	https://github.com/mc-lovin-mlem/concept-embeddings-and-ilp	true	true	false	pytorch
https://paperswithcode.com/paper/iteratively-trained-interactive-segmentation	Iteratively Trained Interactive Segmentation	1805.04398	http://arxiv.org/abs/1805.04398v1	http://arxiv.org/pdf/1805.04398v1.pdf	https://github.com/sabarim/itis	true	false	false	tf

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.