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/counterfactual-vqa-a-cause-effect-look-at	Counterfactual VQA: A Cause-Effect Look at Language Bias	2006.04315	https://arxiv.org/abs/2006.04315v4	https://arxiv.org/pdf/2006.04315v4.pdf	https://github.com/yuleiniu/cfvqa	true	true	true	pytorch
https://paperswithcode.com/paper/an-invitation-to-quantum-channels	An Invitation to Quantum Channels	1902.00909	https://arxiv.org/abs/1902.00909v1	https://arxiv.org/pdf/1902.00909v1.pdf	https://github.com/ilsinay/CHPC-NITheP-Summer-School-2021	false	false	true	none
https://paperswithcode.com/paper/open-quantum-systems-an-introduction	Open Quantum Systems. An Introduction	1104.5242	https://arxiv.org/abs/1104.5242v2	https://arxiv.org/pdf/1104.5242v2.pdf	https://github.com/ilsinay/CHPC-NITheP-Summer-School-2021	false	false	true	none
https://paperswithcode.com/paper/ibm-q-experience-as-a-versatile-experimental	IBM Q Experience as a versatile experimental testbed for simulating open quantum systems	1906.07099	https://arxiv.org/abs/1906.07099v1	https://arxiv.org/pdf/1906.07099v1.pdf	https://github.com/ilsinay/CHPC-NITheP-Summer-School-2021	false	false	true	none
https://paperswithcode.com/paper/reducing-domain-gap-via-style-agnostic	Reducing Domain Gap by Reducing Style Bias	1910.11645	https://arxiv.org/abs/1910.11645v4	https://arxiv.org/pdf/1910.11645v4.pdf	https://github.com/hyeonseobnam/sagnet	false	false	true	pytorch
https://paperswithcode.com/paper/grad-tts-a-diffusion-probabilistic-model-for	Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech	2105.06337	https://arxiv.org/abs/2105.06337v2	https://arxiv.org/pdf/2105.06337v2.pdf	https://github.com/keonlee9420/DiffGAN-TTS	false	false	false	pytorch
https://paperswithcode.com/paper/singan-learning-a-generative-model-from-a	SinGAN: Learning a Generative Model from a Single Natural Image	1905.01164	https://arxiv.org/abs/1905.01164v2	https://arxiv.org/pdf/1905.01164v2.pdf	https://github.com/ilyak93/SinGanF2	false	false	true	pytorch
https://paperswithcode.com/paper/knowledge-preserving-incremental-social-event	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs	2101.08747	https://arxiv.org/abs/2101.08747v2	https://arxiv.org/pdf/2101.08747v2.pdf	https://github.com/YuweiCao-UIC/KPGNN	false	false	true	pytorch
https://paperswithcode.com/paper/mushroom-segmentation-and-3d-pose-estimation	Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding	2404.12144	https://arxiv.org/abs/2404.12144v1	https://arxiv.org/pdf/2404.12144v1.pdf	https://github.com/georgeretsi/mushroom-pose	true	true	false	pytorch
https://paperswithcode.com/paper/the-sunpy-project-an-interoperable-ecosystem	The SunPy Project: An Interoperable Ecosystem for Solar Data Analysis	2304.09794	https://arxiv.org/abs/2304.09794v1	https://arxiv.org/pdf/2304.09794v1.pdf	https://github.com/sunpy/sunpy-frontiers-paper	true	true	false	none
https://paperswithcode.com/paper/enabling-data-diversity-efficient-automatic	Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training	2103.16493	https://arxiv.org/abs/2103.16493v1	https://arxiv.org/pdf/2103.16493v1.pdf	https://github.com/yhygao/Efficient_Data_Augmentation	true	true	false	none
https://paperswithcode.com/paper/computational-approaches-to-efficient	Computational approaches to efficient generation of the stationary state for incoherent light excitation	2011.03084	https://arxiv.org/abs/2011.03084v2	https://arxiv.org/pdf/2011.03084v2.pdf	https://github.com/iloaiza/Incoherent_density	true	true	false	none
https://paperswithcode.com/paper/step-on-the-gas-a-better-approach-for	Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price	2003.03479	https://arxiv.org/abs/2003.03479v2	https://arxiv.org/pdf/2003.03479v2.pdf	https://github.com/louisoutin/eip1559_analysis	false	false	true	none
https://paperswithcode.com/paper/methods-included-standardizing-computational	Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language	2105.07028	https://arxiv.org/abs/2105.07028v2	https://arxiv.org/pdf/2105.07028v2.pdf	https://github.com/common-workflow-language/common-workflow-language	false	false	true	none
https://paperswithcode.com/paper/saga-a-fast-incremental-gradient-method-with	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives	1407.0202	http://arxiv.org/abs/1407.0202v3	http://arxiv.org/pdf/1407.0202v3.pdf	https://github.com/scikit-learn/scikit-learn/blob/95119c13a/sklearn/linear_model/_logistic.py	false	false	false	none
https://paperswithcode.com/paper/openapepose-a-database-of-annotated-ape	OpenApePose: a database of annotated ape photographs for pose estimation	2212.00741	https://arxiv.org/abs/2212.00741v2	https://arxiv.org/pdf/2212.00741v2.pdf	https://github.com/desai-nisarg/openapepose	true	true	true	pytorch
https://paperswithcode.com/paper/mesh-total-generalized-variation-for	Mesh Total Generalized Variation for Denoising	2101.02322	https://arxiv.org/abs/2101.02322v2	https://arxiv.org/pdf/2101.02322v2.pdf	https://github.com/LabZhengLiu/MeshTGV	true	true	false	none
https://paperswithcode.com/paper/integral-concurrent-learning-adaptive-control	Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives	1512.03464	http://arxiv.org/abs/1512.03464v1	http://arxiv.org/pdf/1512.03464v1.pdf	https://github.com/EasonHuang-tw/ICL_matlab_simulation	false	false	true	none
https://paperswithcode.com/paper/temporal-recurrent-networks-for-online-action	Temporal Recurrent Networks for Online Action Detection	1811.07391	http://arxiv.org/abs/1811.07391v2	http://arxiv.org/pdf/1811.07391v2.pdf	https://github.com/xumingze0308/TRN.pytorch	true	false	true	pytorch
https://paperswithcode.com/paper/scaling-up-hbm-efficiency-of-top-k-spmv-for	Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs	2103.04808	https://arxiv.org/abs/2103.04808v1	https://arxiv.org/pdf/2103.04808v1.pdf	https://github.com/AlbertoParravicini/approximate-spmv-topk	true	true	false	none
https://paperswithcode.com/paper/a-scavenger-hunt-for-service-robots	A Scavenger Hunt for Service Robots	2103.05225	https://arxiv.org/abs/2103.05225v3	https://arxiv.org/pdf/2103.05225v3.pdf	https://github.com/utexas-bwi/scavenger_hunt_api	true	true	false	none
https://paperswithcode.com/paper/an-integrated-autoencoder-based-hybrid-cnn	An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound	null	https://www.sciencedirect.com/science/article/pii/S0010482521000901	https://www.sciencedirect.com/science/article/pii/S0010482521000901	https://github.com/ankangd/HybridCovidLUS	false	false	false	tf
https://paperswithcode.com/paper/dirichlet-pruning-for-neural-network	Dirichlet Pruning for Neural Network Compression	2011.05985	https://arxiv.org/abs/2011.05985v3	https://arxiv.org/pdf/2011.05985v3.pdf	https://github.com/ParkLabML/Dirichlet_Pruning	true	true	false	pytorch
https://paperswithcode.com/paper/the-effectiveness-of-factorization-and	The effectiveness of factorization and similarity blending	2209.13011	https://arxiv.org/abs/2209.13011v1	https://arxiv.org/pdf/2209.13011v1.pdf	https://github.com/andreakiro/cil-lab	true	false	false	pytorch
https://paperswithcode.com/paper/rank-flow-embedding-for-unsupervised-and-semi-1	Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning	2304.12448	https://arxiv.org/abs/2304.12448v1	https://arxiv.org/pdf/2304.12448v1.pdf	https://github.com/UDLF/UDLF	true	false	false	none
https://paperswithcode.com/paper/190500641	RetinaFace: Single-stage Dense Face Localisation in the Wild	1905.00641	https://arxiv.org/abs/1905.00641v2	https://arxiv.org/pdf/1905.00641v2.pdf	https://github.com/Johnny952/retinaface_mod	false	false	true	pytorch
https://paperswithcode.com/paper/searching-for-test-case-prioritization	Assessing Expert System-Assisted Literature Reviews With a Case Study	1909.07249	https://arxiv.org/abs/1909.07249v4	https://arxiv.org/pdf/1909.07249v4.pdf	https://github.com/fastread/SLR_on_TCP	true	true	false	none
https://paperswithcode.com/paper/an-amharic-news-text-classification-dataset	An Amharic News Text classification Dataset	2103.05639	https://arxiv.org/abs/2103.05639v1	https://arxiv.org/pdf/2103.05639v1.pdf	https://github.com/IsraelAbebe/An-Amharic-News-Text-classification-Dataset	true	true	true	none
https://paperswithcode.com/paper/information-theory-measures-via	Information Theory Measures via Multidimensional Gaussianization	2010.03807	https://arxiv.org/abs/2010.03807v2	https://arxiv.org/pdf/2010.03807v2.pdf	https://github.com/IPL-UV/rbig	false	false	true	none
https://paperswithcode.com/paper/listing-k-cliques-in-sparse-real-world-graphs	Listing k-cliques in Sparse Real-World Graphs	null	https://dl.acm.org/doi/10.1145/3178876.3186125	https://papers-gamma.link/static/memory/pdfs/32-main.pdf	https://github.com/maxdan94/kClist	false	true	false	none
https://paperswithcode.com/paper/the-wasserstein-fourier-distance-for	The Wasserstein-Fourier Distance for Stationary Time Series	1912.05509	https://arxiv.org/abs/1912.05509v2	https://arxiv.org/pdf/1912.05509v2.pdf	https://github.com/GAMES-UChile/Wasserstein-Fourier	false	false	true	none
https://paperswithcode.com/paper/very-deep-convolutional-networks-for-text	Very Deep Convolutional Networks for Text Classification	1606.01781	http://arxiv.org/abs/1606.01781v2	http://arxiv.org/pdf/1606.01781v2.pdf	https://github.com/dongjun-Lee/text-classification-models-tf	false	false	true	tf
https://paperswithcode.com/paper/character-level-convolutional-networks-for	Character-level Convolutional Networks for Text Classification	1509.01626	http://arxiv.org/abs/1509.01626v3	http://arxiv.org/pdf/1509.01626v3.pdf	https://github.com/dongjun-Lee/text-classification-models-tf	false	false	true	tf
https://paperswithcode.com/paper/convolutional-neural-networks-for-sentence	Convolutional Neural Networks for Sentence Classification	1408.5882	http://arxiv.org/abs/1408.5882v2	http://arxiv.org/pdf/1408.5882v2.pdf	https://github.com/dongjun-Lee/text-classification-models-tf	false	false	true	tf
https://paperswithcode.com/paper/chexpert-a-large-chest-radiograph-dataset	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	1901.07031	http://arxiv.org/abs/1901.07031v1	http://arxiv.org/pdf/1901.07031v1.pdf	https://github.com/stanfordmlgroup/chexpert-labeler	false	false	true	none
https://paperswithcode.com/paper/bhaav-a-text-corpus-for-emotion-analysis-from	BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories	1910.04073	https://arxiv.org/abs/1910.04073v1	https://arxiv.org/pdf/1910.04073v1.pdf	https://github.com/midas-research/gupshup	false	false	true	pytorch
https://paperswithcode.com/paper/deepfacelab-a-simple-flexible-and-extensible	DeepFaceLab: Integrated, flexible and extensible face-swapping framework	2005.05535	https://arxiv.org/abs/2005.05535v5	https://arxiv.org/pdf/2005.05535v5.pdf	https://github.com/JanFschr/DeepFaceLabTest	false	false	true	tf
https://paperswithcode.com/paper/online-segmentation-of-lidar-sequences	Online Segmentation of LiDAR Sequences: Dataset and Algorithm	2206.08194	https://arxiv.org/abs/2206.08194v2	https://arxiv.org/pdf/2206.08194v2.pdf	https://github.com/romainloiseau/Helix4D	true	false	false	pytorch
https://paperswithcode.com/paper/anigan-style-guided-generative-adversarial	AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation	2102.12593	https://arxiv.org/abs/2102.12593v2	https://arxiv.org/pdf/2102.12593v2.pdf	https://github.com/summerice9/AniGAN	false	false	true	pytorch
https://paperswithcode.com/paper/foolbox-a-python-toolbox-to-benchmark-the	Foolbox: A Python toolbox to benchmark the robustness of machine learning models	1707.04131	http://arxiv.org/abs/1707.04131v3	http://arxiv.org/pdf/1707.04131v3.pdf	https://github.com/pralab/secml	false	false	true	pytorch
https://paperswithcode.com/paper/smart-semantic-malware-attribute-relevance	Automatic Malware Description via Attribute Tagging and Similarity Embedding	1905.06262	https://arxiv.org/abs/1905.06262v3	https://arxiv.org/pdf/1905.06262v3.pdf	https://github.com/sophos-ai/SOREL-20M	false	false	true	pytorch
https://paperswithcode.com/paper/gmair-unsupervised-object-detection-based-on	GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture	2106.01722	https://arxiv.org/abs/2106.01722v1	https://arxiv.org/pdf/2106.01722v1.pdf	https://github.com/shaohua0116/MultiDigitMNIST	true	true	true	none
https://paperswithcode.com/paper/regularizing-deep-multi-task-networks-using-1	Regularizing Deep Multi-Task Networks using Orthogonal Gradients	1912.06844	https://arxiv.org/abs/1912.06844v1	https://arxiv.org/pdf/1912.06844v1.pdf	https://github.com/shaohua0116/MultiDigitMNIST	true	true	true	none
https://paperswithcode.com/paper/metasdf-meta-learning-signed-distance	MetaSDF: Meta-learning Signed Distance Functions	2006.09662	https://arxiv.org/abs/2006.09662v1	https://arxiv.org/pdf/2006.09662v1.pdf	https://github.com/shaohua0116/MultiDigitMNIST	true	true	true	none
https://paperswithcode.com/paper/interactive-visualization-and-representation	Interactive Visualization and Representation Analysis Applied to Glacier Segmentation	2112.08184	https://arxiv.org/abs/2112.08184v2	https://arxiv.org/pdf/2112.08184v2.pdf	https://github.com/krisrs1128/geo_mlvis	true	true	false	pytorch
https://paperswithcode.com/paper/to-react-or-not-to-react-end-to-end-visual	To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations	1910.02181	https://arxiv.org/abs/1910.02181v1	https://arxiv.org/pdf/1910.02181v1.pdf	https://github.com/chahuja/mix-stage	false	false	true	pytorch
https://paperswithcode.com/paper/cord-a-consolidated-receipt-dataset-for-post	CORD: A Consolidated Receipt Dataset for Post-OCR Parsing	null	https://openreview.net/forum?id=SJl3z659UH	https://openreview.net/pdf?id=SJl3z659UH	https://github.com/clovaai/cord	true	true	false	none
https://paperswithcode.com/paper/post-ocr-parsing-building-simple-and-robust	Post-OCR parsing: building simple and robust parser via BIO tagging	null	https://openreview.net/forum?id=SJgjf695UB	https://openreview.net/pdf?id=SJgjf695UB	https://github.com/clovaai/cord	true	true	false	none
https://paperswithcode.com/paper/textit-swap-and-predict-predicting-the	$\textit{Swap and Predict}$ -- Predicting the Semantic Changes in Words across Corpora by Context Swapping	2310.10397	https://arxiv.org/abs/2310.10397v1	https://arxiv.org/pdf/2310.10397v1.pdf	https://github.com/a1da4/svp-swap	true	true	false	pytorch
https://paperswithcode.com/paper/designing-and-training-of-a-dual-cnn-for	Designing and Training of A Dual CNN for Image Denoising	2007.03951	https://arxiv.org/abs/2007.03951v1	https://arxiv.org/pdf/2007.03951v1.pdf	https://github.com/hellloxiaotian/DudeNet	false	false	true	pytorch
https://paperswithcode.com/paper/gappredict-a-language-model-for-resolving	GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies	2105.10552	https://arxiv.org/abs/2105.10552v2	https://arxiv.org/pdf/2105.10552v2.pdf	https://github.com/bcgsc/GapPredict	true	true	false	tf
https://paperswithcode.com/paper/exploiting-diverse-characteristics-and	Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation	2012.05608	https://arxiv.org/abs/2012.05608v2	https://arxiv.org/pdf/2012.05608v2.pdf	https://github.com/BwCai/DCAA-UDA	false	false	true	pytorch
https://paperswithcode.com/paper/empirical-study-of-multi-task-hourglass-model	Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task	2105.13531	https://arxiv.org/abs/2105.13531v1	https://arxiv.org/pdf/2105.13531v1.pdf	https://gitlab.com/mipl/mtl-ss	true	true	false	tf
https://paperswithcode.com/paper/rase-a-variable-screening-framework-via	RaSE: A Variable Screening Framework via Random Subspace Ensembles	2102.03892	https://arxiv.org/abs/2102.03892v3	https://arxiv.org/pdf/2102.03892v3.pdf	https://github.com/ytstat/RaSE-screening-codes	true	true	false	none
https://paperswithcode.com/paper/topology-and-geometry-of-the-third-party	Topology and Geometry of the Third-Party Domains Ecosystem: Measurement and Applications	2112.04381	https://arxiv.org/abs/2112.04381v2	https://arxiv.org/pdf/2112.04381v2.pdf	https://github.com/cosior/tpds_ecosystem	true	true	false	none
https://paperswithcode.com/paper/riesz-quincunx-unet-variational-auto-encoder	Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising	2208.12810	https://arxiv.org/abs/2208.12810v1	https://arxiv.org/pdf/2208.12810v1.pdf	https://github.com/trile83/rqunetvae	true	true	true	pytorch
https://paperswithcode.com/paper/learning-compact-metrics-for-mt	Learning Compact Metrics for MT	2110.06341	https://arxiv.org/abs/2110.06341v1	https://arxiv.org/pdf/2110.06341v1.pdf	https://github.com/google-research/bleurt	true	true	true	tf
https://paperswithcode.com/paper/summvis-interactive-visual-analysis-of-models	SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization	2104.07605	https://arxiv.org/abs/2104.07605v2	https://arxiv.org/pdf/2104.07605v2.pdf	https://github.com/uribo/buckyR	false	false	true	none
https://paperswithcode.com/paper/agentpoison-red-teaming-llm-agents-via	AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases	2407.12784	https://arxiv.org/abs/2407.12784v1	https://arxiv.org/pdf/2407.12784v1.pdf	https://github.com/BillChan226/AgentPoison	true	false	true	pytorch
https://paperswithcode.com/paper/agask-an-agent-to-help-answer-farmer-s	AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents	2212.10762	https://arxiv.org/abs/2212.10762v1	https://arxiv.org/pdf/2212.10762v1.pdf	https://github.com/ielab/agvaluate	true	true	false	none
https://paperswithcode.com/paper/multiscale-model-of-clogging-in-microfluidic	Multiscale Model of Clogging in Microfluidic Devices with Grid-Like Geometries	2108.01570	https://arxiv.org/abs/2108.01570v2	https://arxiv.org/pdf/2108.01570v2.pdf	https://github.com/gsiraji/Microfluidics-Paper-Fig-Code	true	false	false	none
https://paperswithcode.com/paper/iart-intent-aware-response-ranking-with	IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems	2002.00571	https://arxiv.org/abs/2002.00571v1	https://arxiv.org/pdf/2002.00571v1.pdf	https://github.com/yangliuy/Intent-Aware-Ranking-Transformers	true	true	true	tf
https://paperswithcode.com/paper/show-and-tell-a-neural-image-caption	Show and Tell: A Neural Image Caption Generator	1411.4555	http://arxiv.org/abs/1411.4555v2	http://arxiv.org/pdf/1411.4555v2.pdf	https://github.com/Data-drone/cvnd_image_captioning	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/keras-team/keras-io/blob/master/examples/generative/stylegan.py	false	false	false	tf
https://paperswithcode.com/paper/detection-of-statistically-significant	Detection of statistically significant differences between process variants through declarative rules	2104.07926	https://arxiv.org/abs/2104.07926v2	https://arxiv.org/pdf/2104.07926v2.pdf	https://github.com/Oneiroe/DeclarativeRulesVariantAnalysis-static	true	true	false	none
https://paperswithcode.com/paper/learning-to-reconstruct-3d-manhattan	Learning to Reconstruct 3D Manhattan Wireframes from a Single Image	1905.07482	https://arxiv.org/abs/1905.07482v2	https://arxiv.org/pdf/1905.07482v2.pdf	https://github.com/zhou13/shapeunity	true	true	true	pytorch
https://paperswithcode.com/paper/analysis-and-extensions-of-adversarial	Analysis and Extensions of Adversarial Training for Video Classification	2206.07953	https://arxiv.org/abs/2206.07953v1	https://arxiv.org/pdf/2206.07953v1.pdf	https://github.com/kaleab-k/VideoAT	true	false	false	pytorch
https://paperswithcode.com/paper/user-oriented-fairness-in-recommendation	User-oriented Fairness in Recommendation	2104.10671	https://arxiv.org/abs/2104.10671v1	https://arxiv.org/pdf/2104.10671v1.pdf	https://github.com/rutgerswiselab/user-fairness	true	true	false	none
https://paperswithcode.com/paper/dataset-inference-ownership-resolution-in-1	Dataset Inference: Ownership Resolution in Machine Learning	2104.10706	https://arxiv.org/abs/2104.10706v1	https://arxiv.org/pdf/2104.10706v1.pdf	https://github.com/cleverhans-lab/dataset-inference	true	true	false	pytorch
https://paperswithcode.com/paper/a-learning-gap-between-neuroscience-and	A learning gap between neuroscience and reinforcement learning	2104.10995	https://arxiv.org/abs/2104.10995v3	https://arxiv.org/pdf/2104.10995v3.pdf	https://github.com/thesmartrobot/ambigym	true	true	false	none
https://paperswithcode.com/paper/operator-as-a-service-stateful-serverless	Operator as a Service: Stateful Serverless Complex Event Processing	2012.04982	https://arxiv.org/abs/2012.04982v3	https://arxiv.org/pdf/2012.04982v3.pdf	https://github.com/luthramanisha/CEPless	true	false	false	none
https://paperswithcode.com/paper/maneuver-based-anchor-trajectory-hypotheses	Maneuver-based Anchor Trajectory Hypotheses at Roundabouts	2104.11180	https://arxiv.org/abs/2104.11180v1	https://arxiv.org/pdf/2104.11180v1.pdf	https://github.com/m-hasan-n/roundabout	true	true	true	pytorch
https://paperswithcode.com/paper/distributed-zero-order-algorithms-for	Distributed Zero-Order Algorithms for Nonconvex Multi-Agent Optimization	1908.11444	http://arxiv.org/abs/1908.11444v3	http://arxiv.org/pdf/1908.11444v3.pdf	https://github.com/Libensemble/libensemble	false	false	true	none
https://paperswithcode.com/paper/physics-constrained-learning-for-pde-systems	Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models	2406.11809	https://arxiv.org/abs/2406.11809v1	https://arxiv.org/pdf/2406.11809v1.pdf	https://github.com/Tankevin998/GP_dPHS	true	false	false	none
https://paperswithcode.com/paper/black-holes-as-particle-detectors-evolution	Black holes as particle detectors: evolution of superradiant instabilities	1411.0686	https://arxiv.org/abs/1411.0686v1	https://arxiv.org/pdf/1411.0686v1.pdf	https://github.com/maxisi/gwaxion	false	false	true	none
https://paperswithcode.com/paper/contrastive-learning-of-medical-visual	Contrastive Learning of Medical Visual Representations from Paired Images and Text	2010.00747	https://arxiv.org/abs/2010.00747v2	https://arxiv.org/pdf/2010.00747v2.pdf	https://github.com/MicPie/clasp	false	false	true	pytorch
https://paperswithcode.com/paper/scaling-up-visual-and-vision-language	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision	2102.05918	https://arxiv.org/abs/2102.05918v2	https://arxiv.org/pdf/2102.05918v2.pdf	https://github.com/MicPie/clasp	false	false	true	pytorch
https://paperswithcode.com/paper/federated-robustness-propagation-sharing	Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning	2106.10196	https://arxiv.org/abs/2106.10196v2	https://arxiv.org/pdf/2106.10196v2.pdf	https://github.com/illidanlab/FedRBN	true	false	true	pytorch
https://paperswithcode.com/paper/towards-scalable-verification-of-rl-driven	Towards Scalable Verification of Deep Reinforcement Learning	2105.11931	https://arxiv.org/abs/2105.11931v2	https://arxiv.org/pdf/2105.11931v2.pdf	https://zenodo.org/record/4769612	true	false	false	none
https://paperswithcode.com/paper/on-the-analysis-of-mud-files-interactions	On the Analysis of MUD-Files' Interactions, Conflicts, and Configuration Requirements Before Deployment	2107.06372	https://arxiv.org/abs/2107.06372v1	https://arxiv.org/pdf/2107.06372v1.pdf	https://github.com/iot-onboarding/mud-visualizer	true	true	false	none
https://paperswithcode.com/paper/bert-pre-training-of-deep-bidirectional	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	1810.04805	https://arxiv.org/abs/1810.04805v2	https://arxiv.org/pdf/1810.04805v2.pdf	https://github.com/debnsuma/Intro-Transformer-BERT	false	false	true	pytorch
https://paperswithcode.com/paper/a-fast-and-compact-hybrid-cnn-for	A Fast and Compact Hybrid CNN for Hyperspectral Imaging-based Bloodstain Classification	null	https://ieeexplore.ieee.org/document/9870277	https://www.researchgate.net/profile/Muhammad-Hassaan-Farooq-Butt/publication/363331483_A_Fast_and_Compact_Hybrid_CNN_for_Hyperspectral_Imaging-based_Bloodstain_Classification/links/631c44f5873eca0c007799f9/A-Fast-and-Compact-Hybrid-CNN-for-Hyperspectral-Imaging-based-Bloodstain-Classification.pdf	https://github.com/MHassaanButt/FCHCNN-for-HSIC	false	false	false	tf
https://paperswithcode.com/paper/robust-inference-for-mediated-effects-in	Robust Inference for Mediated Effects in Partially Linear Models	2007.00725	https://arxiv.org/abs/2007.00725v3	https://arxiv.org/pdf/2007.00725v3.pdf	https://github.com/ohines/plmed	true	true	false	none
https://paperswithcode.com/paper/log-based-anomaly-detection-without-log	Log-based Anomaly Detection Without Log Parsing	2108.01955	https://arxiv.org/abs/2108.01955v3	https://arxiv.org/pdf/2108.01955v3.pdf	https://github.com/vanhoanglepsa/NeuralLog	true	true	false	tf
https://paperswithcode.com/paper/an-end-to-end-deep-learning-approach-for-2	An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$-stable Lévy noise	2201.13114	https://arxiv.org/abs/2201.13114v4	https://arxiv.org/pdf/2201.13114v4.pdf	https://github.com/fangransto/learn-alpha-stable-levy	true	true	false	tf
https://paperswithcode.com/paper/intermittent-connectivity-for-exploration-in	Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems	1911.08626	http://arxiv.org/abs/1911.08626v1	http://arxiv.org/pdf/1911.08626v1.pdf	https://github.com/FilipKlaesson/cops	true	true	true	none
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/AquibPy/Cycle-GAN	false	false	false	pytorch
https://paperswithcode.com/paper/novelty-detection-and-analysis-of-traffic	Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder	2105.01924	https://arxiv.org/abs/2105.01924v2	https://arxiv.org/pdf/2105.01924v2.pdf	https://github.com/JWTHI/ViTAL-SCENE	true	true	false	pytorch
https://paperswithcode.com/paper/mlp-mixer-an-all-mlp-architecture-for-vision	MLP-Mixer: An all-MLP Architecture for Vision	2105.01601	https://arxiv.org/abs/2105.01601v4	https://arxiv.org/pdf/2105.01601v4.pdf	https://github.com/qwopqwop200/MLP-Mixer-tf2	false	false	false	tf
https://paperswithcode.com/paper/andi-the-anomalous-diffusion-challenge	AnDi: The Anomalous Diffusion Challenge	2003.12036	http://arxiv.org/abs/2003.12036v1	http://arxiv.org/pdf/2003.12036v1.pdf	https://github.com/AnDiChallenge/ANDI_datasets	true	true	false	none
https://paperswithcode.com/paper/simulation-and-estimation-of-a-point-process	Simulation and estimation of a point-process market-model with a matching engine	2105.02211	https://arxiv.org/abs/2105.02211v2	https://arxiv.org/pdf/2105.02211v2.pdf	https://github.com/IvanJericevich/IJPCTG-HawkesCoinTossX	true	true	false	none
https://paperswithcode.com/paper/prototypical-logic-tensor-networks-proto-ltn	PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning	2207.00433	https://arxiv.org/abs/2207.00433v1	https://arxiv.org/pdf/2207.00433v1.pdf	https://github.com/francescomanigrass/proto-ltn	true	true	false	tf
https://paperswithcode.com/paper/deepscores-a-dataset-for-segmentation	DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	1804.00525	http://arxiv.org/abs/1804.00525v2	http://arxiv.org/pdf/1804.00525v2.pdf	https://github.com/apacha/OMR-Datasets	false	false	true	none
https://paperswithcode.com/paper/yolov3-an-incremental-improvement	YOLOv3: An Incremental Improvement	1804.02767	http://arxiv.org/abs/1804.02767v1	http://arxiv.org/pdf/1804.02767v1.pdf	https://github.com/thinhhoang95/helipad-yolo	false	false	true	pytorch
https://paperswithcode.com/paper/motif-based-spectral-clustering-of-weighted	Motif-Based Spectral Clustering of Weighted Directed Networks	2004.01293	https://arxiv.org/abs/2004.01293v2	https://arxiv.org/pdf/2004.01293v2.pdf	https://github.com/wgunderwood/motif-based-clustering	true	true	true	none
https://paperswithcode.com/paper/stargan-v2-diverse-image-synthesis-for	StarGAN v2: Diverse Image Synthesis for Multiple Domains	1912.01865	https://arxiv.org/abs/1912.01865v2	https://arxiv.org/pdf/1912.01865v2.pdf	https://github.com/UdonDa/StarGAN-v2-pytorch-nonofficial	false	false	true	pytorch
https://paperswithcode.com/paper/digital-gimbal-end-to-end-deep-image	Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times	2012.04515	https://arxiv.org/abs/2012.04515v4	https://arxiv.org/pdf/2012.04515v4.pdf	https://github.com/omer11a/digital-gimbal	true	false	true	pytorch
https://paperswithcode.com/paper/weakly-supervised-source-specific-sound-level	Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes	2105.02911	https://arxiv.org/abs/2105.02911v2	https://arxiv.org/pdf/2105.02911v2.pdf	https://github.com/sonyc-project/weakly-supervised-sssle	true	true	false	pytorch
https://paperswithcode.com/paper/learning-latent-subspaces-in-variational	Learning Latent Subspaces in Variational Autoencoders	1812.06190	http://arxiv.org/abs/1812.06190v1	http://arxiv.org/pdf/1812.06190v1.pdf	https://github.com/lipikaramaswamy/am207_final_project/blob/master/notebooks/csvae_swiss_roll.ipynb	false	false	false	none
https://paperswithcode.com/paper/estimates-of-the-social-cost-of-carbon-have	Estimates of the social cost of carbon have increased over time	2105.03656	https://arxiv.org/abs/2105.03656v3	https://arxiv.org/pdf/2105.03656v3.pdf	https://github.com/rtol/KernelDecomposition	true	true	false	none

Subsets and Splits

Framework Repo Connectivity Analysis

Reveals the number of official and unofficial repositories and papers associated with different frameworks, highlighting the most connected ones.

Deduplicated Paper-Code Links

This query provides a detailed and organized list of repositories linked to single papers, highlighting official status and mention sources, which is useful for understanding the relationship between papers and their corresponding repositories.

Paper Repo Counts & Distribution

Provides detailed statistics on the distribution of papers across different numbers of repositories, highlighting the percentage of papers with multiple repositories.

Quantum Papers with Code Links

Lists quantum-related papers with their titles, arXiv IDs, frameworks, and code repository links, providing a valuable resource for researchers interested in quantum computing.

Financial Stock Price Prediction

Finds papers related to stock prices, financial markets, and predictions, providing a focused subset for further analysis.

SQL Console for pwc-archive/links-between-paper-and-code

Retrieves specific details about a single paper by its arXiv ID, providing limited insight into the dataset.

Search for YOLO Links

Retrieves a limited set of records related to YOLO, providing basic information about papers and repositories but without deeper analysis.

Prompt Optimization and Personalization

Retrieves a limited set of papers with titles containing specific keywords related to prompt optimization and personalization, providing basic filtering of the dataset.