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/low-rank-adapting-models-for-sparse	Low-Rank Adapting Models for Sparse Autoencoders	2501.19406	https://arxiv.org/abs/2501.19406v1	https://arxiv.org/pdf/2501.19406v1.pdf	https://github.com/adamkarvonen/sae_kl_finetune	false	false	true	jax
https://paperswithcode.com/paper/learning-discriminative-features-with	Learning Discriminative Features with Multiple Granularities for Person Re-Identification	1804.01438	http://arxiv.org/abs/1804.01438v3	http://arxiv.org/pdf/1804.01438v3.pdf	https://github.com/zp1018/ReID-MGN	false	false	true	pytorch
https://paperswithcode.com/paper/squeezenet-alexnet-level-accuracy-with-50x	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	1602.07360	http://arxiv.org/abs/1602.07360v4	http://arxiv.org/pdf/1602.07360v4.pdf	https://github.com/DT42/squeezenet_demo	true	true	true	none
https://paperswithcode.com/paper/transformation-of-wiktionary-entry-structure	Transformation of Wiktionary entry structure into tables and relations in a relational database schema	1011.1368	http://arxiv.org/abs/1011.1368v1	http://arxiv.org/pdf/1011.1368v1.pdf	https://github.com/componavt/wikokit	false	false	true	none
https://paperswithcode.com/paper/time-expressions-in-mental-health-records-for	Time Expressions in Mental Health Records for Symptom Onset Extraction	null	https://aclanthology.org/W18-5621	https://aclanthology.org/W18-5621.pdf	https://github.com/medesto/systems-adaptation	true	true	false	none
https://paperswithcode.com/paper/metrical-accent-aware-vocal-onset-detection	Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio	1707.06163	http://arxiv.org/abs/1707.06163v1	http://arxiv.org/pdf/1707.06163v1.pdf	https://github.com/georgid/lakh_vocal_segments_dataset	true	true	false	none
https://paperswithcode.com/paper/using-deep-neural-networks-to-predict-and	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes	2105.04922	https://arxiv.org/abs/2105.04922v1	https://arxiv.org/pdf/2105.04922v1.pdf	https://github.com/brain-bzh/PolarCodesDNN	true	true	false	none
https://paperswithcode.com/paper/automatic-guide-generation-for-stan-via	Automatic Guide Generation for Stan via NumPyro	2110.11790	https://arxiv.org/abs/2110.11790v1	https://arxiv.org/pdf/2110.11790v1.pdf	https://github.com/deepppl/evaluation-autoguide	true	true	false	jax
https://paperswithcode.com/paper/free-form-image-inpainting-with-gated	Free-Form Image Inpainting with Gated Convolution	1806.03589	https://arxiv.org/abs/1806.03589v2	https://arxiv.org/pdf/1806.03589v2.pdf	https://github.com/avalonstrel/GatedConvolution_pytorch	false	false	false	pytorch
https://paperswithcode.com/paper/semi-supervised-deep-learning-for-fully	Semi-Supervised Deep Learning for Fully Convolutional Networks	1703.06000	http://arxiv.org/abs/1703.06000v2	http://arxiv.org/pdf/1703.06000v2.pdf	https://github.com/bumuckl/SemiSupervisedDLForFCNs	false	false	true	none
https://paperswithcode.com/paper/on-learning-paradigms-for-the-travelling	On Learning Paradigms for the Travelling Salesman Problem	1910.07210	https://arxiv.org/abs/1910.07210v2	https://arxiv.org/pdf/1910.07210v2.pdf	https://github.com/chaitjo/graph-convnet-tsp	false	false	true	pytorch
https://paperswithcode.com/paper/recurrent-neural-networks-for-polyphonic	Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings	1604.00861	http://arxiv.org/abs/1604.00861v1	http://arxiv.org/pdf/1604.00861v1.pdf	https://github.com/yardencsGitHub/tweetynet	false	false	true	tf
https://paperswithcode.com/paper/an-end-to-end-trainable-neural-network-for	An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition	1507.05717	http://arxiv.org/abs/1507.05717v1	http://arxiv.org/pdf/1507.05717v1.pdf	https://github.com/wacr2008/tensorflow_crnn	false	false	true	tf
https://paperswithcode.com/paper/ultra-lightweight-image-super-resolution-with	Multi-Attention Based Ultra Lightweight Image Super-Resolution	2008.12912	https://arxiv.org/abs/2008.12912v2	https://arxiv.org/pdf/2008.12912v2.pdf	https://github.com/AbdulMoqeet/MAFFSRN	false	false	true	pytorch
https://paperswithcode.com/paper/a-computational-analysis-of-financial-and	A Computational Analysis of Financial and Environmental Narratives within Financial Reports and its Value for Investors	null	https://aclanthology.org/2020.fnp-1.31	https://aclanthology.org/2020.fnp-1.31.pdf	https://github.com/forgefin/fin-env-narrative	true	true	false	tf
https://paperswithcode.com/paper/distributed-control-of-descriptor-networks-a	Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity	2109.05954	https://arxiv.org/abs/2109.05954v9	https://arxiv.org/pdf/2109.05954v9.pdf	https://github.com/AndreiSperila/CONPRAS	true	true	true	none
https://paperswithcode.com/paper/finding-archetypal-spaces-for-data-using	Finding Archetypal Spaces Using Neural Networks	1901.09078	https://arxiv.org/abs/1901.09078v2	https://arxiv.org/pdf/1901.09078v2.pdf	https://github.com/KrishnaswamyLab/AAnet	true	true	true	tf
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/raferguson/CNN-Profile-Picture	false	false	true	tf
https://paperswithcode.com/paper/adversarial-learning-for-semi-supervised	Adversarial Learning for Semi-Supervised Semantic Segmentation	1802.07934	http://arxiv.org/abs/1802.07934v2	http://arxiv.org/pdf/1802.07934v2.pdf	https://github.com/hfslyc/AdvSemiSeg	true	true	true	pytorch
https://paperswithcode.com/paper/semi-supervised-classification-with-graph	Semi-Supervised Classification with Graph Convolutional Networks	1609.02907	http://arxiv.org/abs/1609.02907v4	http://arxiv.org/pdf/1609.02907v4.pdf	https://github.com/selmiss/gp-tlstgcn	false	false	true	pytorch
https://paperswithcode.com/paper/tensor-renormalization-group-approach-to-2d	Tensor renormalization group approach to 2D classical lattice models	cond-mat/0611687	https://arxiv.org/abs/cond-mat/0611687v2	https://arxiv.org/pdf/cond-mat/0611687v2.pdf	https://github.com/mhauru/abeliantensors	false	false	true	none
https://paperswithcode.com/paper/rotation-method-for-accelerating-multiple	Rotation method for accelerating multiple-spherical Bessel function integrals against a numerical source function	1912.00065	https://arxiv.org/abs/1912.00065v1	https://arxiv.org/pdf/1912.00065v1.pdf	https://github.com/eelregit/sbf_rotation	true	true	true	none
https://paperswithcode.com/paper/shared-representational-geometry-across	Shared Representational Geometry Across Neural Networks	1811.11684	http://arxiv.org/abs/1811.11684v2	http://arxiv.org/pdf/1811.11684v2.pdf	https://github.com/qihongl/nnsrm-neurips18	true	true	true	none
https://paperswithcode.com/paper/openfermion-the-electronic-structure-package	OpenFermion: The Electronic Structure Package for Quantum Computers	1710.07629	http://arxiv.org/abs/1710.07629v3	http://arxiv.org/pdf/1710.07629v3.pdf	https://github.com/quantumlib/OpenFermion-Cirq	false	false	true	none
https://paperswithcode.com/paper/least-dependent-component-analysis-based-on	Least Dependent Component Analysis Based on Mutual Information	physics/0405044	https://arxiv.org/abs/physics/0405044v2	https://arxiv.org/pdf/physics/0405044v2.pdf	https://github.com/nordavinden/Mutual-Information-ICA	false	false	true	none
https://paperswithcode.com/paper/estimating-mutual-information	Estimating Mutual Information	cond-mat/0305641	https://arxiv.org/abs/cond-mat/0305641v1	https://arxiv.org/pdf/cond-mat/0305641v1.pdf	https://github.com/nordavinden/Mutual-Information-ICA	false	false	true	none
https://paperswithcode.com/paper/a-style-based-generator-architecture-for	A Style-Based Generator Architecture for Generative Adversarial Networks	1812.04948	http://arxiv.org/abs/1812.04948v3	http://arxiv.org/pdf/1812.04948v3.pdf	https://github.com/pfnet-research/chainer-stylegan	false	false	true	none
https://paperswithcode.com/paper/fracbnn-accurate-and-fpga-efficient-binary	FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations	2012.12206	https://arxiv.org/abs/2012.12206v1	https://arxiv.org/pdf/2012.12206v1.pdf	https://github.com/ychzhang/fracbnn	false	false	true	pytorch
https://paperswithcode.com/paper/150501303	XTreePath: A generalization of XPath to handle real world structural variation	1505.01303	http://arxiv.org/abs/1505.01303v3	http://arxiv.org/pdf/1505.01303v3.pdf	https://github.com/ieee8023/XTreePath	false	false	true	none
https://paperswithcode.com/paper/noise2noise-learning-image-restoration	Noise2Noise: Learning Image Restoration without Clean Data	1803.04189	http://arxiv.org/abs/1803.04189v3	http://arxiv.org/pdf/1803.04189v3.pdf	https://github.com/itsuki8914/simply-noise2noise-TF	false	false	true	tf
https://paperswithcode.com/paper/pointhop-an-explainable-machine-learning	PointHop: An Explainable Machine Learning Method for Point Cloud Classification	1907.12766	https://arxiv.org/abs/1907.12766v2	https://arxiv.org/pdf/1907.12766v2.pdf	https://github.com/minzhang-1/PointHop	false	false	true	pytorch
https://paperswithcode.com/paper/end-to-end-recovery-of-human-shape-and-pose	End-to-end Recovery of Human Shape and Pose	1712.06584	http://arxiv.org/abs/1712.06584v2	http://arxiv.org/pdf/1712.06584v2.pdf	https://github.com/MandyMo/pytorch_HMR	false	false	true	pytorch
https://paperswithcode.com/paper/a-style-based-generator-architecture-for	A Style-Based Generator Architecture for Generative Adversarial Networks	1812.04948	http://arxiv.org/abs/1812.04948v3	http://arxiv.org/pdf/1812.04948v3.pdf	https://github.com/itsuki8914/stylegan-TensorFlow	false	false	true	tf
https://paperswithcode.com/paper/sparsh-amg-a-library-for-hybrid-cpu-gpu	SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods	2007.00056	https://arxiv.org/abs/2007.00056v1	https://arxiv.org/pdf/2007.00056v1.pdf	https://github.com/cmgcds/SParSH-AMG	false	false	true	none
https://paperswithcode.com/paper/the-comparison-of-wiktionary-thesauri	The comparison of Wiktionary thesauri transformed into the machine-readable format	1006.5040	http://arxiv.org/abs/1006.5040v1	http://arxiv.org/pdf/1006.5040v1.pdf	https://github.com/componavt/wikokit	false	false	true	none
https://paperswithcode.com/paper/deep-high-resolution-representation-learning	Deep High-Resolution Representation Learning for Human Pose Estimation	1902.09212	http://arxiv.org/abs/1902.09212v1	http://arxiv.org/pdf/1902.09212v1.pdf	https://github.com/HRNet/HRNet-Image-Classification	false	false	true	pytorch
https://paperswithcode.com/paper/high-resolution-representations-for-labeling	High-Resolution Representations for Labeling Pixels and Regions	1904.04514	http://arxiv.org/abs/1904.04514v1	http://arxiv.org/pdf/1904.04514v1.pdf	https://github.com/HRNet/HRNet-Image-Classification	false	false	true	pytorch
https://paperswithcode.com/paper/faldoi-a-new-minimization-strategy-for-large	FALDOI: A new minimization strategy for large displacement variational optical flow	1602.08960	http://arxiv.org/abs/1602.08960v3	http://arxiv.org/pdf/1602.08960v3.pdf	https://github.com/fperezgamonal/faldoi-ipol	false	false	true	none
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-paper	true	true	true	none
https://paperswithcode.com/paper/unified-treatment-of-the-asymptotics-of	Unified treatment of the asymptotics of asymmetric kernel density estimators	1512.03188	http://arxiv.org/abs/1512.03188v1	http://arxiv.org/pdf/1512.03188v1.pdf	https://github.com/tommyod/KDEpy	false	false	true	none
https://paperswithcode.com/paper/road-extraction-by-deep-residual-u-net	Road Extraction by Deep Residual U-Net	1711.10684	http://arxiv.org/abs/1711.10684v1	http://arxiv.org/pdf/1711.10684v1.pdf	https://github.com/Kaido0/Brain-Tissue-Segment-Keras	false	false	true	tf
https://paperswithcode.com/paper/realtime-multi-person-2d-pose-estimation	Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields	1611.08050	http://arxiv.org/abs/1611.08050v2	http://arxiv.org/pdf/1611.08050v2.pdf	https://github.com/lncarter/Openpose	false	false	true	pytorch
https://paperswithcode.com/paper/hand-keypoint-detection-in-single-images	Hand Keypoint Detection in Single Images using Multiview Bootstrapping	1704.07809	http://arxiv.org/abs/1704.07809v1	http://arxiv.org/pdf/1704.07809v1.pdf	https://github.com/lncarter/Openpose	false	false	true	pytorch
https://paperswithcode.com/paper/convolutional-pose-machines	Convolutional Pose Machines	1602.00134	http://arxiv.org/abs/1602.00134v4	http://arxiv.org/pdf/1602.00134v4.pdf	https://github.com/lncarter/Openpose	false	false	true	pytorch
https://paperswithcode.com/paper/exploiting-kernel-sparsity-and-entropy-for	Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression	1812.04368	http://arxiv.org/abs/1812.04368v2	http://arxiv.org/pdf/1812.04368v2.pdf	https://github.com/yuchaoli/KSE	true	true	false	pytorch
https://paperswithcode.com/paper/blockchain-and-trusted-computing-problems	Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric	1805.08541	http://arxiv.org/abs/1805.08541v1	http://arxiv.org/pdf/1805.08541v1.pdf	https://github.com/hyperledger-labs/fabric-private-chaincode	false	false	true	none
https://paperswithcode.com/paper/emotionflow-capture-the-dialogue-level	EmotionFlow: Capture the Dialogue Level Emotion Transitions	null	https://github.com/fpcsong/emotionflow/blob/master/EmotionFlow.pdf	https://github.com/fpcsong/emotionflow/blob/master/EmotionFlow.pdf	https://github.com/fpcsong/emotionflow	false	false	false	pytorch
https://paperswithcode.com/paper/neural-code-search-revisited-enhancing-code	Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent	2008.12193	https://arxiv.org/abs/2008.12193v1	https://arxiv.org/pdf/2008.12193v1.pdf	https://github.com/nokia/codesearch	true	true	true	none
https://paperswithcode.com/paper/pytorch-biggraph-a-large-scale-graph	PyTorch-BigGraph: A Large-scale Graph Embedding System	1903.12287	http://arxiv.org/abs/1903.12287v3	http://arxiv.org/pdf/1903.12287v3.pdf	https://github.com/facebookresearch/PyTorch-BigGraph	false	true	false	pytorch
https://paperswithcode.com/paper/end-to-end-memory-networks	End-To-End Memory Networks	1503.08895	http://arxiv.org/abs/1503.08895v5	http://arxiv.org/pdf/1503.08895v5.pdf	https://github.com/aadil-srivastava01/End-To-End-Memory-Networks	false	false	true	none
https://paperswithcode.com/paper/squeezenet-alexnet-level-accuracy-with-50x	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	1602.07360	http://arxiv.org/abs/1602.07360v4	http://arxiv.org/pdf/1602.07360v4.pdf	https://github.com/Kaido0/Brain-Tissue-Segment-Keras	false	false	true	tf
https://paperswithcode.com/paper/unsupervised-pixel-level-domain-adaptation	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	1612.05424	http://arxiv.org/abs/1612.05424v2	http://arxiv.org/pdf/1612.05424v2.pdf	https://github.com/tensorflow/models/tree/master/research/domain_adaptation	false	false	true	tf
https://paperswithcode.com/paper/reliable-local-explanations-for-machine	Reliable Local Explanations for Machine Listening	2005.07788	https://arxiv.org/abs/2005.07788v1	https://arxiv.org/pdf/2005.07788v1.pdf	https://github.com/saum25/local_exp_robustness	true	true	false	tf
https://paperswithcode.com/paper/defense-against-adversarial-attacks-using	Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser	1712.02976	http://arxiv.org/abs/1712.02976v2	http://arxiv.org/pdf/1712.02976v2.pdf	https://github.com/anishathalye/Guided-Denoise	false	false	true	tf
https://paperswithcode.com/paper/conditional-generative-adversarial-nets	Conditional Generative Adversarial Nets	1411.1784	https://arxiv.org/abs/1411.1784v1	https://arxiv.org/pdf/1411.1784v1.pdf	https://github.com/xingxingyoulei/infer_cgan_onnx/tree/master/research/cv/CGAN	false	false	false	mindspore
https://paperswithcode.com/paper/a-practical-guide-to-randomized-matrix	A Practical Guide to Randomized Matrix Computations with MATLAB Implementations	1505.07570	http://arxiv.org/abs/1505.07570v6	http://arxiv.org/pdf/1505.07570v6.pdf	https://github.com/wangshusen/RandMatrixMatlab	true	true	true	none
https://paperswithcode.com/paper/plsrglm-partial-least-squares-linear-and	plsRglm: Partial least squares linear and generalized linear regression for processing incomplete datasets by cross-validation and bootstrap techniques with R	1810.01005	http://arxiv.org/abs/1810.01005v1	http://arxiv.org/pdf/1810.01005v1.pdf	https://github.com/fbertran/plsRglm	false	false	true	none
https://paperswithcode.com/paper/a-multilayer-convolutional-encoder-decoder	A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction	1801.08831	http://arxiv.org/abs/1801.08831v1	http://arxiv.org/pdf/1801.08831v1.pdf	https://github.com/seaweiqing/neuraltalk_plus_charcnn	false	false	true	tf
https://paperswithcode.com/paper/unsupervised-domain-adaptation-for-medical	Unsupervised domain adaptation for medical imaging segmentation with self-ensembling	1811.06042	http://arxiv.org/abs/1811.06042v2	http://arxiv.org/pdf/1811.06042v2.pdf	https://github.com/neuropoly/domainadaptation	true	true	false	pytorch
https://paperswithcode.com/paper/overlapping-community-detection-at-scale-a	Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach	null	https://dl.acm.org/citation.cfm?id=2433471	http://infolab.stanford.edu/~crucis/pubs/paper-nmfagm.pdf	https://github.com/benedekrozemberczki/karateclub	false	false	false	none
https://paperswithcode.com/paper/the-loss-surfaces-of-multilayer-networks	The Loss Surfaces of Multilayer Networks	1412.0233	http://arxiv.org/abs/1412.0233v3	http://arxiv.org/pdf/1412.0233v3.pdf	https://github.com/jchunn/Ambition	false	false	true	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.

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.