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/precondition-and-effect-reasoning-for-action	Precondition and Effect Reasoning for Action Recognition	2112.10057	https://arxiv.org/abs/2112.10057v2	https://arxiv.org/pdf/2112.10057v2.pdf	https://github.com/kaiyoo/precondition-and-effect-reasoning-for-action-recognition	true	true	false	none
https://paperswithcode.com/paper/metaformer-baselines-for-vision	MetaFormer Baselines for Vision	2210.13452	https://arxiv.org/abs/2210.13452v4	https://arxiv.org/pdf/2210.13452v4.pdf	https://github.com/Westlake-AI/MogaNet	false	false	true	pytorch
https://paperswithcode.com/paper/robust-collaborative-3d-object-detection-in	Robust Collaborative 3D Object Detection in Presence of Pose Errors	2211.07214	https://arxiv.org/abs/2211.07214v3	https://arxiv.org/pdf/2211.07214v3.pdf	https://github.com/yifanlu0227/coalign	true	true	true	pytorch
https://paperswithcode.com/paper/human-apprenticeship-learning-via-kernel	Reward Shaping for Human Learning via Inverse Reinforcement Learning	2002.10904	https://arxiv.org/abs/2002.10904v3	https://arxiv.org/pdf/2002.10904v3.pdf	https://github.com/mrucker/kpirl-kla	true	true	true	none
https://paperswithcode.com/paper/investigating-co-occurrences-of-mitre-att-ck	Investigating co-occurrences of MITRE ATT\&CK Techniques	2211.06495	https://arxiv.org/abs/2211.06495v1	https://arxiv.org/pdf/2211.06495v1.pdf	https://github.com/brokenquark/ttps-co-occurrence	true	true	false	none
https://paperswithcode.com/paper/multilinear-algebra-for-distributed-storage	Multilinear Algebra for Distributed Storage	2006.08911	http://arxiv.org/abs/2006.08911v1	http://arxiv.org/pdf/2006.08911v1.pdf	https://github.com/Symbol1/MoulinDistorage	false	false	true	none
https://paperswithcode.com/paper/shire-making-fpga-accelerated-middlebox	Rosebud: Making FPGA-Accelerated Middlebox Development More Pleasant	2201.08978	https://arxiv.org/abs/2201.08978v3	https://arxiv.org/pdf/2201.08978v3.pdf	https://github.com/ucsdsysnet/Shire	true	false	true	none
https://paperswithcode.com/paper/dual-head-adversarial-training	Dual Head Adversarial Training	2104.10377	https://arxiv.org/abs/2104.10377v2	https://arxiv.org/pdf/2104.10377v2.pdf	https://github.com/yujingmarkjiang/Dual-Head-Adversarial-Training	true	false	true	pytorch
https://paperswithcode.com/paper/diffusion-kernel-attention-network-for-brain	Diffusion Kernel Attention Network for Brain Disorder Classification	null	https://ieeexplore.ieee.org/abstract/document/9763540	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9763540	https://github.com/seuzjj/Diffusion_kernel_attention_network	true	false	false	pytorch
https://paperswithcode.com/paper/learning-sources-of-variability-from-high	Learning sources of variability from high-dimensional observational studies	2307.13868	https://arxiv.org/abs/2307.13868v2	https://arxiv.org/pdf/2307.13868v2.pdf	https://github.com/ebridge2/cdcorr	true	true	false	none
https://paperswithcode.com/paper/modeling-ideological-agenda-setting-and	Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity	2104.08829	https://arxiv.org/abs/2104.08829v3	https://arxiv.org/pdf/2104.08829v3.pdf	https://github.com/valentinhofmann/slap4slip	true	true	false	pytorch
https://paperswithcode.com/paper/streaming-pac-bayes-gaussian-process	Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making	2210.08486	https://arxiv.org/abs/2210.08486v2	https://arxiv.org/pdf/2210.08486v2.pdf	https://github.com/tyliu22/online_pacgp	true	true	false	pytorch
https://paperswithcode.com/paper/three-dimensional-buoyant-hydraulic-fracture	Three-dimensional buoyant hydraulic fracture growth: constant release from a point source	2205.07621	https://arxiv.org/abs/2205.07621v2	https://arxiv.org/pdf/2205.07621v2.pdf	https://github.com/GeoEnergyLab-EPFL/PyFrac	true	false	false	none
https://paperswithcode.com/paper/algorithmic-changes-are-not-enough-evaluating	Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation	2404.12812	https://arxiv.org/abs/2404.12812v3	https://arxiv.org/pdf/2404.12812v3.pdf	https://github.com/StanfordHPDS/egfr_equation_shc	true	true	true	none
https://paperswithcode.com/paper/vine-copula-based-knockoff-generation-for	Vine copula based knockoff generation for high-dimensional controlled variable selection	2210.11196	https://arxiv.org/abs/2210.11196v1	https://arxiv.org/pdf/2210.11196v1.pdf	https://github.com/maltekurz/vineknockoffs	true	true	true	none
https://paperswithcode.com/paper/visualsparta-sparse-transformer-fragment	VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words	2101.00265	https://arxiv.org/abs/2101.00265v2	https://arxiv.org/pdf/2101.00265v2.pdf	https://github.com/soco-ai/SF-QA	false	false	false	pytorch
https://paperswithcode.com/paper/sparta-efficient-open-domain-question	SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval	2009.13013	https://arxiv.org/abs/2009.13013v1	https://arxiv.org/pdf/2009.13013v1.pdf	https://github.com/soco-ai/SF-QA	false	false	false	pytorch
https://paperswithcode.com/paper/sf-qa-simple-and-fair-evaluation-library-for	SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering	2101.01910	https://arxiv.org/abs/2101.01910v2	https://arxiv.org/pdf/2101.01910v2.pdf	https://github.com/soco-ai/SF-QA	true	true	true	pytorch
https://paperswithcode.com/paper/mitigating-modality-collapse-in-multimodal	Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization	2206.04496	https://arxiv.org/abs/2206.04496v1	https://arxiv.org/pdf/2206.04496v1.pdf	https://github.com/adrianjav/impartial-vaes	true	false	false	pytorch
https://paperswithcode.com/paper/desq-frequent-sequence-mining-with	DESQ: Frequent Sequence Mining with Subsequence Constraints	1609.08431	http://arxiv.org/abs/1609.08431v2	http://arxiv.org/pdf/1609.08431v2.pdf	https://github.com/zakimjz/cSPADE/blob/master/sequence.cc	false	false	false	none
https://paperswithcode.com/paper/face-pyramid-vision-transformer	Face Pyramid Vision Transformer	2210.11974	https://arxiv.org/abs/2210.11974v1	https://arxiv.org/pdf/2210.11974v1.pdf	https://github.com/khawar-islam/fpvt	true	false	false	pytorch
https://paperswithcode.com/paper/autoprognosis-automated-clinical-prognostic	AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning	1802.07207	http://arxiv.org/abs/1802.07207v1	http://arxiv.org/pdf/1802.07207v1.pdf	https://github.com/vanderschaarlab/autoprognosis	false	false	true	pytorch
https://paperswithcode.com/paper/multilingual-generative-language-models-for-1	Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction	2203.08308	https://arxiv.org/abs/2203.08308v1	https://arxiv.org/pdf/2203.08308v1.pdf	https://github.com/pluslabnlp/x-gear	true	true	true	pytorch
https://paperswithcode.com/paper/informask-unsupervised-informative-masking	InforMask: Unsupervised Informative Masking for Language Model Pretraining	2210.11771	https://arxiv.org/abs/2210.11771v1	https://arxiv.org/pdf/2210.11771v1.pdf	https://github.com/nafissadeq/informask	true	true	true	pytorch
https://paperswithcode.com/paper/materials-transformers-language-models-for	Materials Transformers Language Models for Generative Materials Design: a benchmark study	2206.13578	https://arxiv.org/abs/2206.13578v1	https://arxiv.org/pdf/2206.13578v1.pdf	https://github.com/usccolumbia/mtransformer	true	false	true	pytorch
https://paperswithcode.com/paper/exploring-the-whole-rashomon-set-of-sparse	Exploring the Whole Rashomon Set of Sparse Decision Trees	2209.08040	https://arxiv.org/abs/2209.08040v2	https://arxiv.org/pdf/2209.08040v2.pdf	https://github.com/ubc-systopia/treeFarms	true	true	true	none
https://paperswithcode.com/paper/a-hybrid-millimeter-wave-channel-simulator	A Hybrid Millimeter-wave Channel Simulator for Joint Communication and Localization	2210.11422	https://arxiv.org/abs/2210.11422v1	https://arxiv.org/pdf/2210.11422v1.pdf	https://github.com/dengjunquan/omnisim	true	true	true	none
https://paperswithcode.com/paper/mapping-and-cleaning-open-commonsense	Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation	2306.12766	https://arxiv.org/abs/2306.12766v1	https://arxiv.org/pdf/2306.12766v1.pdf	https://github.com/Aunsiels/GenT	true	false	false	pytorch
https://paperswithcode.com/paper/a-necessary-condition-for-non-oscillatory-and	A necessary condition for non oscillatory and positivity preserving time-integration schemes	2211.08905	https://arxiv.org/abs/2211.08905v1	https://arxiv.org/pdf/2211.08905v1.pdf	https://github.com/accdavlo/modified-patankar-oscillations-and-lyapunov-stability	true	true	true	none
https://paperswithcode.com/paper/physics-informed-machine-learning-of-1	Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference	2209.09349	https://arxiv.org/abs/2209.09349v1	https://arxiv.org/pdf/2209.09349v1.pdf	https://github.com/idaholabresearch/bihnns	true	false	true	pytorch
https://paperswithcode.com/paper/targeted-active-learning-for-probabilistic	Targeted active learning for probabilistic models	2210.12122	https://arxiv.org/abs/2210.12122v1	https://arxiv.org/pdf/2210.12122v1.pdf	https://github.com/tansey-lab/pdbal	true	false	false	none
https://paperswithcode.com/paper/unknown-area-exploration-for-robots-with	Unknown area exploration for robots with energy constraints using a modified Butterfly Optimization Algorithm	2210.14774	https://arxiv.org/abs/2210.14774v1	https://arxiv.org/pdf/2210.14774v1.pdf	https://github.com/aminehorseman/butterfly-optimization-algorithms	true	true	false	none
https://paperswithcode.com/paper/scaling-knowledge-graphs-for-automating-ai-of	Scaling Knowledge Graphs for Automating AI of Digital Twins	2210.14596	https://arxiv.org/abs/2210.14596v1	https://arxiv.org/pdf/2210.14596v1.pdf	https://github.com/ibm/digital-twin-benchmark-model	true	true	false	none
https://paperswithcode.com/paper/pretrained-audio-neural-networks-for-speech	Pretrained audio neural networks for Speech emotion recognition in Portuguese	2210.14716	https://arxiv.org/abs/2210.14716v1	https://arxiv.org/pdf/2210.14716v1.pdf	https://github.com/marcelomatheusgauy/pretrained_audio_neural_networks_emotion_recognition	true	true	false	pytorch
https://paperswithcode.com/paper/benchmarking-language-models-for-code-syntax	Benchmarking Language Models for Code Syntax Understanding	2210.14473	https://arxiv.org/abs/2210.14473v1	https://arxiv.org/pdf/2210.14473v1.pdf	https://github.com/dashends/codesyntax	true	true	false	pytorch
https://paperswithcode.com/paper/disentangled-graph-neural-networks-for	Disentangled Graph Neural Networks for Session-based Recommendation	2201.03482	https://arxiv.org/abs/2201.03482v2	https://arxiv.org/pdf/2201.03482v2.pdf	https://github.com/AnsongLi/Disen-GNN	true	false	true	pytorch
https://paperswithcode.com/paper/bayesian-inference-with-latent-hamiltonian	Bayesian Inference with Latent Hamiltonian Neural Networks	2208.06120	https://arxiv.org/abs/2208.06120v2	https://arxiv.org/pdf/2208.06120v2.pdf	https://github.com/idaholabresearch/bihnns	true	true	true	pytorch
https://paperswithcode.com/paper/an-adversarial-benchmark-for-fake-news	An Adversarial Benchmark for Fake News Detection Models	2201.00912	https://arxiv.org/abs/2201.00912v1	https://arxiv.org/pdf/2201.00912v1.pdf	https://github.com/ljyflores/fake-news-explainability	true	true	true	pytorch
https://paperswithcode.com/paper/deep-kernelized-dense-geometric-matching	DKM: Dense Kernelized Feature Matching for Geometry Estimation	2202.00667	https://arxiv.org/abs/2202.00667v3	https://arxiv.org/pdf/2202.00667v3.pdf	https://github.com/parskatt/dkm	true	true	true	pytorch
https://paperswithcode.com/paper/waver-writing-style-agnostic-video-retrieval	WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge	2312.09507	https://arxiv.org/abs/2312.09507v3	https://arxiv.org/pdf/2312.09507v3.pdf	https://github.com/fsoft-aic/waver	true	true	true	pytorch
https://paperswithcode.com/paper/beta-embeddings-for-multi-hop-logical	Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs	2010.11465	https://arxiv.org/abs/2010.11465v1	https://arxiv.org/pdf/2010.11465v1.pdf	https://github.com/uclnlp/cqd	false	false	true	pytorch
https://paperswithcode.com/paper/dis-inhibitory-neuronal-circuits-can-control	Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity	2310.19614	https://arxiv.org/abs/2310.19614v2	https://arxiv.org/pdf/2310.19614v2.pdf	https://github.com/fmi-basel/disinhibitory-control	true	true	false	jax
https://paperswithcode.com/paper/longitudinal-multimodal-transformer	Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification	2304.02836	https://arxiv.org/abs/2304.02836v5	https://arxiv.org/pdf/2304.02836v5.pdf	https://github.com/masilab/lmsignatures	true	true	false	pytorch
https://paperswithcode.com/paper/pointflow-3d-point-cloud-generation-with	PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows	1906.12320	https://arxiv.org/abs/1906.12320v3	https://arxiv.org/pdf/1906.12320v3.pdf	https://github.com/visinf/s2-flow	false	false	true	pytorch
https://paperswithcode.com/paper/ice-viscosity-governs-hydraulic-fracture-that	Ice viscosity governs hydraulic fracture that causes rapid drainage of supraglacial lakes	2409.05478	https://arxiv.org/abs/2409.05478v1	https://arxiv.org/pdf/2409.05478v1.pdf	https://github.com/T-Hageman/MATLAB_IceHydroFrac	true	false	false	none
https://paperswithcode.com/paper/pix4point-image-pretrained-transformers-for	Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding	2208.12259	https://arxiv.org/abs/2208.12259v3	https://arxiv.org/pdf/2208.12259v3.pdf	https://github.com/guochengqian/pix4point	true	true	true	none
https://paperswithcode.com/paper/learning-to-use-chopsticks-in-diverse-styles	Learning to Use Chopsticks in Diverse Gripping Styles	2205.14313	https://arxiv.org/abs/2205.14313v3	https://arxiv.org/pdf/2205.14313v3.pdf	https://github.com/chopsticks-research2022/learning2usechopsticks	true	true	true	pytorch
https://paperswithcode.com/paper/new-mgcamb-tests-of-gravity-with-cosmomc-and	New MGCAMB tests of gravity with CosmoMC and Cobaya	2305.05667	https://arxiv.org/abs/2305.05667v2	https://arxiv.org/pdf/2305.05667v2.pdf	https://github.com/sfu-cosmo/MGCAMB	true	true	true	none
https://paperswithcode.com/paper/benchmarking-automl-algorithms-on-a	Benchmarking AutoML algorithms on a collection of synthetic classification problems	2212.02704	https://arxiv.org/abs/2212.02704v3	https://arxiv.org/pdf/2212.02704v3.pdf	https://github.com/perib/automl_digen_benchmark	true	true	false	none
https://paperswithcode.com/paper/rmmdet-road-side-multitype-and-multigroup	RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving	2303.05203	https://arxiv.org/abs/2303.05203v3	https://arxiv.org/pdf/2303.05203v3.pdf	https://github.com/OrangeSodahub/CRLFnet	true	false	false	pytorch
https://paperswithcode.com/paper/is-data-all-that-matters-the-role-of-control	Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems	2403.09504	https://arxiv.org/abs/2403.09504v1	https://arxiv.org/pdf/2403.09504v1.pdf	https://github.com/ralfroemer99/lb_sd	true	true	true	none
https://paperswithcode.com/paper/exploring-the-use-of-webassembly-in-hpc	Exploring the Use of WebAssembly in HPC	2301.03982	https://arxiv.org/abs/2301.03982v1	https://arxiv.org/pdf/2301.03982v1.pdf	https://github.com/kky-fury/mpiwasm	true	true	true	none
https://paperswithcode.com/paper/mediar-harmony-of-data-centric-and-model	MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy	2212.03465	https://arxiv.org/abs/2212.03465v1	https://arxiv.org/pdf/2212.03465v1.pdf	https://github.com/lee-gihun/mediar	true	true	true	pytorch
https://paperswithcode.com/paper/stochastic-nucleosome-disassembly-mediated-by	Stochastic nucleosome disassembly mediated by remodelers and histone fragmentation	2309.02736	https://arxiv.org/abs/2309.02736v1	https://arxiv.org/pdf/2309.02736v1.pdf	https://github.com/hsianktin/histone	true	true	false	none
https://paperswithcode.com/paper/continual-llava-continual-instruction-tuning	Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models	2411.02564	https://arxiv.org/abs/2411.02564v2	https://arxiv.org/pdf/2411.02564v2.pdf	https://github.com/mengcaopku/continual-llava	true	true	true	none
https://paperswithcode.com/paper/spatiotemporal-convolutional-network-for-time	Spatiotemporal information conversion machine for time-series prediction	2107.01353	https://arxiv.org/abs/2107.01353v2	https://arxiv.org/pdf/2107.01353v2.pdf	https://github.com/mahp-scut/sticm	true	true	false	tf
https://paperswithcode.com/paper/plausible-extractive-rationalization-through	Plausible Extractive Rationalization through Semi-Supervised Entailment Signal	2402.08479	https://arxiv.org/abs/2402.08479v5	https://arxiv.org/pdf/2402.08479v5.pdf	https://github.com/wj210/NLI_ETP	true	true	false	pytorch
https://paperswithcode.com/paper/improving-named-entity-recognition-by	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning	2105.03654	https://arxiv.org/abs/2105.03654v3	https://arxiv.org/pdf/2105.03654v3.pdf	https://github.com/modelscope/adaseq	true	true	false	pytorch
https://paperswithcode.com/paper/finding-badly-drawn-bunnies	Finding Badly Drawn Bunnies	null	http://openaccess.thecvf.com//content/CVPR2022/html/Yang_Finding_Badly_Drawn_Bunnies_CVPR_2022_paper.html	http://openaccess.thecvf.com//content/CVPR2022/papers/Yang_Finding_Badly_Drawn_Bunnies_CVPR_2022_paper.pdf	https://github.com/yanglan0225/SketchX-Quantifying-Sketch-Quality	true	false	false	pytorch
https://paperswithcode.com/paper/pre-trained-language-models-for-interactive	Pre-Trained Language Models for Interactive Decision-Making	2202.01771	https://arxiv.org/abs/2202.01771v4	https://arxiv.org/pdf/2202.01771v4.pdf	https://github.com/xavierpuigf/virtualhome	false	false	true	none
https://paperswithcode.com/paper/cheap-and-deterministic-inference-for-deep	Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems	2305.01773	https://arxiv.org/abs/2305.01773v1	https://arxiv.org/pdf/2305.01773v1.pdf	https://github.com/boschresearch/deterministic-graph-deep-state-space-models	true	true	false	pytorch
https://paperswithcode.com/paper/combined-mechanistic-and-machine-learning	Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements	2301.02585	https://arxiv.org/abs/2301.02585v1	https://arxiv.org/pdf/2301.02585v1.pdf	https://github.com/evgenii-kanin/data_fusion_hdm_ml	true	true	false	none
https://paperswithcode.com/paper/improved-pothole-detection-using-yolov7-and	Improved Pothole Detection Using YOLOv7 and ESRGAN	2401.08588	https://arxiv.org/abs/2401.08588v1	https://arxiv.org/pdf/2401.08588v1.pdf	https://gitlab.com/Ryukijano/ESRGAN_AND_YOLOV7	true	false	false	pytorch
https://paperswithcode.com/paper/y-chromosome-of-aisin-gioro-the-imperial	Y Chromosome of Aisin Gioro, the Imperial House of Qing Dynasty	1412.6274	https://arxiv.org/abs/1412.6274v1	https://arxiv.org/pdf/1412.6274v1.pdf	https://github.com/jk-ice-cream/cirosantilli	false	false	true	none
https://paperswithcode.com/paper/ai-fairness-360-an-extensible-toolkit-for	AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias	1810.01943	http://arxiv.org/abs/1810.01943v1	http://arxiv.org/pdf/1810.01943v1.pdf	https://github.com/datalab-georgetown/fairness-and-missing-values	false	false	true	none
https://paperswithcode.com/paper/adversarial-online-multi-task-reinforcement	Adversarial Online Multi-Task Reinforcement Learning	2301.04268	https://arxiv.org/abs/2301.04268v1	https://arxiv.org/pdf/2301.04268v1.pdf	https://github.com/ngmq/adversarial-online-multi-task-reinforcement-learning	true	true	true	none
https://paperswithcode.com/paper/a-joint-bayesian-hierarchical-model-for	A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion	2301.03714	https://arxiv.org/abs/2301.03714v1	https://arxiv.org/pdf/2301.03714v1.pdf	https://github.com/dq0708/joint_vl_sero	true	false	false	none
https://paperswithcode.com/paper/algebraic-variety-models-for-high-rank-matrix	Algebraic Variety Models for High-Rank Matrix Completion	1703.09631	http://arxiv.org/abs/1703.09631v1	http://arxiv.org/pdf/1703.09631v1.pdf	https://github.com/gregongie/vmc	false	false	true	none
https://paperswithcode.com/paper/truncated-marginal-neural-ratio-estimation	Truncated Marginal Neural Ratio Estimation	2107.01214	https://arxiv.org/abs/2107.01214v2	https://arxiv.org/pdf/2107.01214v2.pdf	https://github.com/undark-lab/swyft	true	true	true	pytorch
https://paperswithcode.com/paper/autoprognosis-2-0-democratizing-diagnostic	AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning	2210.12090	https://arxiv.org/abs/2210.12090v1	https://arxiv.org/pdf/2210.12090v1.pdf	https://github.com/vanderschaarlab/autoprognosis	true	true	true	pytorch
https://paperswithcode.com/paper/optimizing-feature-extraction-for-symbolic	Optimizing Feature Extraction for Symbolic Music	2307.05107	https://arxiv.org/abs/2307.05107v1	https://arxiv.org/pdf/2307.05107v1.pdf	https://github.com/didoneproject/music_symbolic_features	true	true	false	none
https://paperswithcode.com/paper/bayesian-temporal-factorization-for	Bayesian Temporal Factorization for Multidimensional Time Series Prediction	1910.06366	https://arxiv.org/abs/1910.06366v2	https://arxiv.org/pdf/1910.06366v2.pdf	https://github.com/xinychen/transdim	true	true	true	tf
https://paperswithcode.com/paper/aerial-base-station-placement-leveraging	Aerial Base Station Placement Leveraging Radio Tomographic Maps	2109.07372	https://arxiv.org/abs/2109.07372v2	https://arxiv.org/pdf/2109.07372v2.pdf	https://github.com/uiano/abs_placement_via_radio_maps	true	true	true	none
https://paperswithcode.com/paper/tsdownsample-high-performance-time-series	tsdownsample: high-performance time series downsampling for scalable visualization	2307.05389	https://arxiv.org/abs/2307.05389v1	https://arxiv.org/pdf/2307.05389v1.pdf	https://github.com/predict-idlab/tsdownsample	true	true	false	none
https://paperswithcode.com/paper/graph-neural-networks-in-computer-vision	Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches	2212.10207	https://arxiv.org/abs/2212.10207v1	https://arxiv.org/pdf/2212.10207v1.pdf	https://github.com/mkrzywda/graph-neural-networks-in-computer-vision---architectures-datasets-and-common-approaches	true	true	false	none
https://paperswithcode.com/paper/precise-and-efficient-modeling-of-stellar	Precise and efficient modeling of stellar-activity-affected solar spectra using SOAP-GPU	2412.13500	https://arxiv.org/abs/2412.13500v1	https://arxiv.org/pdf/2412.13500v1.pdf	https://github.com/yinanzhao21/soap_gpu	true	true	false	none
https://paperswithcode.com/paper/an-effective-open-image-theorem-for-products	An effective open image theorem for products of principally polarized abelian varieties	2212.11472	https://arxiv.org/abs/2212.11472v5	https://arxiv.org/pdf/2212.11472v5.pdf	https://github.com/maylejacobj/productsecs	true	true	true	none
https://paperswithcode.com/paper/linearity-of-relation-decoding-in-transformer	Linearity of Relation Decoding in Transformer Language Models	2308.09124	https://arxiv.org/abs/2308.09124v2	https://arxiv.org/pdf/2308.09124v2.pdf	https://github.com/chanind/linear-relational	false	false	true	pytorch
https://paperswithcode.com/paper/skit-s2i-an-indian-accented-speech-to-intent	Skit-S2I: An Indian Accented Speech to Intent dataset	2212.13015	https://arxiv.org/abs/2212.13015v1	https://arxiv.org/pdf/2212.13015v1.pdf	https://github.com/skit-ai/speech-to-intent-dataset	true	true	false	pytorch
https://paperswithcode.com/paper/code-and-named-entity-recognition-in	Code and Named Entity Recognition in StackOverflow	2005.01634	https://arxiv.org/abs/2005.01634v3	https://arxiv.org/pdf/2005.01634v3.pdf	https://github.com/jeniyat/StackOverflowNER	true	true	true	pytorch
https://paperswithcode.com/paper/red-teaming-language-models-to-reduce-harms	Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned	2209.07858	https://arxiv.org/abs/2209.07858v2	https://arxiv.org/pdf/2209.07858v2.pdf	https://github.com/lyqcom/red30	false	false	false	mindspore
https://paperswithcode.com/paper/llm-voting-human-choices-and-ai-collective	LLM Voting: Human Choices and AI Collective Decision Making	2402.01766	https://arxiv.org/abs/2402.01766v3	https://arxiv.org/pdf/2402.01766v3.pdf	https://github.com/ethz-coss/LLM_voting	true	false	true	none
https://paperswithcode.com/paper/a-new-formula-for-the-determinant-and-bounds	A New Formula for the Determinant and Bounds on Its Tensor and Waring Ranks	2301.06586	https://arxiv.org/abs/2301.06586v2	https://arxiv.org/pdf/2301.06586v2.pdf	https://gitlab.com/apgoucher/det4f2	true	true	true	none
https://paperswithcode.com/paper/socially-aware-robot-crowd-navigation-with	Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph	2203.01821	https://arxiv.org/abs/2203.01821v4	https://arxiv.org/pdf/2203.01821v4.pdf	https://github.com/Shuijing725/CrowdNav_Prediction_AttnGraph	true	false	true	pytorch
https://paperswithcode.com/paper/draw-all-your-imagine-a-holistic-benchmark	Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation	2505.24787	https://arxiv.org/abs/2505.24787v1	https://arxiv.org/pdf/2505.24787v1.pdf	https://github.com/yczhou001/longbench-t2i	true	true	true	pytorch
https://paperswithcode.com/paper/pointpillars-fast-encoders-for-object	PointPillars: Fast Encoders for Object Detection from Point Clouds	1812.05784	https://arxiv.org/abs/1812.05784v2	https://arxiv.org/pdf/1812.05784v2.pdf	https://gitee.com/gai-shaoyan/mind3d	false	false	false	none
https://paperswithcode.com/paper/group-free-3d-object-detection-via	Group-Free 3D Object Detection via Transformers	2104.00678	https://arxiv.org/abs/2104.00678v2	https://arxiv.org/pdf/2104.00678v2.pdf	https://gitee.com/gai-shaoyan/mind3d	false	false	false	none
https://paperswithcode.com/paper/long-tail-detection-with-effective-class	Long-tail Detection with Effective Class-Margins	2301.09724	https://arxiv.org/abs/2301.09724v1	https://arxiv.org/pdf/2301.09724v1.pdf	https://github.com/janghyuncho/ecm-loss	true	true	false	pytorch
https://paperswithcode.com/paper/exploring-simple-3d-multi-object-tracking-for	Exploring Simple 3D Multi-Object Tracking for Autonomous Driving	2108.10312	https://arxiv.org/abs/2108.10312v1	https://arxiv.org/pdf/2108.10312v1.pdf	https://gitee.com/gai-shaoyan/mind3d	false	false	false	none
https://paperswithcode.com/paper/eagermot-3d-multi-object-tracking-via-sensor	EagerMOT: 3D Multi-Object Tracking via Sensor Fusion	2104.14682	https://arxiv.org/abs/2104.14682v1	https://arxiv.org/pdf/2104.14682v1.pdf	https://gitee.com/gai-shaoyan/mind3d	false	false	false	none
https://paperswithcode.com/paper/attention-based-lstm-for-aspect-level	Attention-based LSTM for Aspect-level Sentiment Classification	null	https://aclanthology.org/D16-1058	https://aclanthology.org/D16-1058.pdf	https://github.com/mindspore-courses/ABSA-MindSpore	false	false	false	mindspore
https://paperswithcode.com/paper/near-linear-time-algorithm-to-detect	Near linear time algorithm to detect community structures in large-scale networks	0709.2938	http://arxiv.org/abs/0709.2938v1	http://arxiv.org/pdf/0709.2938v1.pdf	https://github.com/ionicf/copra-communities-openmp	false	false	true	none
https://paperswithcode.com/paper/finding-overlapping-communities-in-networks	Finding overlapping communities in networks by label propagation	0910.5516	http://arxiv.org/abs/0910.5516v3	http://arxiv.org/pdf/0910.5516v3.pdf	https://github.com/ionicf/copra-communities-openmp	false	false	true	none
https://paperswithcode.com/paper/self-driving-multimodal-studies-at-user	Self-driving Multimodal Studies at User Facilities	2301.09177	https://arxiv.org/abs/2301.09177v1	https://arxiv.org/pdf/2301.09177v1.pdf	https://github.com/nsls-ii-pdf/mmm-experiments	true	true	false	pytorch
https://paperswithcode.com/paper/near-linear-time-algorithm-to-detect	Near linear time algorithm to detect community structures in large-scale networks	0709.2938	http://arxiv.org/abs/0709.2938v1	http://arxiv.org/pdf/0709.2938v1.pdf	https://github.com/ionicf/rak-communities-openmp	false	false	true	none
https://paperswithcode.com/paper/solving-graph-problems-with-single-photons	Solving graph problems with single-photons and linear optics	2301.09594	https://arxiv.org/abs/2301.09594v2	https://arxiv.org/pdf/2301.09594v2.pdf	https://github.com/quandela/matrix-encoding-problems	true	true	false	none
https://paperswithcode.com/paper/debiasing-should-be-good-and-bad-measuring	Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models	2305.14307	https://arxiv.org/abs/2305.14307v1	https://arxiv.org/pdf/2305.14307v1.pdf	https://github.com/Robert-Morabito/Instructive-Debiasing	true	true	false	none
https://paperswithcode.com/paper/transformation-networks-for-target-oriented	Transformation Networks for Target-Oriented Sentiment Classification	1805.01086	http://arxiv.org/abs/1805.01086v1	http://arxiv.org/pdf/1805.01086v1.pdf	https://github.com/mindspore-courses/ABSA-MindSpore	false	false	true	mindspore
https://paperswithcode.com/paper/plug-and-play-diffusion-features-for-text	Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	2211.12572	https://arxiv.org/abs/2211.12572v1	https://arxiv.org/pdf/2211.12572v1.pdf	https://github.com/MichalGeyer/plug-and-play	true	false	true	pytorch
https://paperswithcode.com/paper/adn-artifact-disentanglement-network-for	ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction	1908.01104	https://arxiv.org/abs/1908.01104v4	https://arxiv.org/pdf/1908.01104v4.pdf	https://github.com/ruanyuhui/adn-qsdl	false	false	true	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.