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/robotic-pick-and-place-of-novel-objects-in	Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching	1710.01330	https://arxiv.org/abs/1710.01330v5	https://arxiv.org/pdf/1710.01330v5.pdf	https://github.com/andyzeng/arc-robot-vision	true	false	true	torch
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/MLH-Fellowship/Social-BERTerfly	false	false	true	tf
https://paperswithcode.com/paper/automatic-differentiation-of-sylvester	Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations	2011.11430	https://arxiv.org/abs/2011.11430v2	https://arxiv.org/pdf/2011.11430v2.pdf	https://github.com/tachukao/autodiff-inverse-lqr	true	true	true	none
https://paperswithcode.com/paper/sensing-ambiguity-in-henry-james-the-turn-of	Sensing Ambiguity in Henry James' "The Turn of the Screw"	2011.10832	https://arxiv.org/abs/2011.10832v1	https://arxiv.org/pdf/2011.10832v1.pdf	https://github.com/vicmak/TurnOfTheScrew	true	true	false	none
https://paperswithcode.com/paper/two-stage-generative-adversarial-networks-for	Two-stage generative adversarial networks for document image binarization with color noise and background removal	2010.10103	https://arxiv.org/abs/2010.10103v3	https://arxiv.org/pdf/2010.10103v3.pdf	https://github.com/opensuh/DocumentBinarization	true	true	true	pytorch
https://paperswithcode.com/paper/supervised-edge-attention-network-for	Supervised Edge Attention Network for Accurate Image Instance Segmentation	null	https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/5884_ECCV_2020_paper.php	https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720613.pdf	https://github.com/IPIU-detection/SEANet	true	false	false	pytorch
https://paperswithcode.com/paper/teacher-student-consistency-for-multi-source	Teacher-Student Consistency For Multi-Source Domain Adaptation	2010.10054	https://arxiv.org/abs/2010.10054v1	https://arxiv.org/pdf/2010.10054v1.pdf	https://github.com/amosy3/MUST	true	true	false	pytorch
https://paperswithcode.com/paper/mesh-denoising-with-facet-graph-convolutions	Mesh Denoising with Facet Graph Convolutions	null	https://github.com/Elensil/Facet_Graph_Convolution#abstract	https://hal.inria.fr/hal-03066322	https://github.com/Elensil/Facet_Graph_Convolution	false	false	false	tf
https://paperswithcode.com/paper/counterfactual-multi-agent-policy-gradients	Counterfactual Multi-Agent Policy Gradients	1705.08926	https://arxiv.org/abs/1705.08926v3	https://arxiv.org/pdf/1705.08926v3.pdf	https://github.com/opendilab/DI-engine/blob/main/ding/policy/coma.py	false	false	false	pytorch
https://paperswithcode.com/paper/confnet2seq-full-length-answer-generation	ConfNet2Seq: Full Length Answer Generation from Spoken Questions	2006.05163	https://arxiv.org/abs/2006.05163v2	https://arxiv.org/pdf/2006.05163v2.pdf	https://github.com/kolk/ConfnetPointerGenBaseline	true	true	true	pytorch
https://paperswithcode.com/paper/mmdetection-open-mmlab-detection-toolbox-and	MMDetection: Open MMLab Detection Toolbox and Benchmark	1906.07155	https://arxiv.org/abs/1906.07155v1	https://arxiv.org/pdf/1906.07155v1.pdf	https://github.com/IPIU-detection/SEANet	false	false	true	pytorch
https://paperswithcode.com/paper/joint-multi-leaf-segmentation-alignment-and	Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos	1505.00353	http://arxiv.org/abs/1505.00353v2	http://arxiv.org/pdf/1505.00353v2.pdf	https://github.com/xiyinmsu/PlantVision	true	false	false	none
https://paperswithcode.com/paper/meta-reinforcement-learning-by-tracking-task	Meta-Reinforcement Learning by Tracking Task Non-stationarity	2105.08834	https://arxiv.org/abs/2105.08834v1	https://arxiv.org/pdf/2105.08834v1.pdf	https://github.com/riccardopoiani/trio-non-stationary-meta-rl	true	true	false	pytorch
https://paperswithcode.com/paper/rotate-to-attend-convolutional-triplet	Rotate to Attend: Convolutional Triplet Attention Module	2010.03045	https://arxiv.org/abs/2010.03045v2	https://arxiv.org/pdf/2010.03045v2.pdf	https://github.com/LandskapeAI/triplet-attention	true	true	true	pytorch
https://paperswithcode.com/paper/efficient-sampling-policy-for-selecting-a	Efficient Sampling Policy for Selecting a Good Enough Subset	2111.14534	https://arxiv.org/abs/2111.14534v1	https://arxiv.org/pdf/2111.14534v1.pdf	https://github.com/gongbozhang-pku/Good-Enough-Selection	true	false	false	none
https://paperswithcode.com/paper/autofocus-layer-for-semantic-segmentation	Autofocus Layer for Semantic Segmentation	1805.08403	http://arxiv.org/abs/1805.08403v3	http://arxiv.org/pdf/1805.08403v3.pdf	https://github.com/luvgold/auotofoucus3D-Brats	false	false	true	tf
https://paperswithcode.com/paper/bengali-abstractive-news-summarization-bans-a	Bengali Abstractive News Summarization(BANS): A Neural Attention Approach	2012.01747	https://arxiv.org/abs/2012.01747v1	https://arxiv.org/pdf/2012.01747v1.pdf	https://github.com/Prithwiraj12/Bengali-Deep-News-Summarization	true	true	false	tf
https://paperswithcode.com/paper/transferable-visual-words-exploiting-the	Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning	2102.10680	https://arxiv.org/abs/2102.10680v1	https://arxiv.org/pdf/2102.10680v1.pdf	https://github.com/JLiangLab/TransVW	true	true	true	pytorch
https://paperswithcode.com/paper/locally-checkable-problems-in-rooted-trees	Locally Checkable Problems in Rooted Trees	2102.09277	https://arxiv.org/abs/2102.09277v5	https://arxiv.org/pdf/2102.09277v5.pdf	https://github.com/jendas1/rooted-tree-classifier	true	true	false	none
https://paperswithcode.com/paper/sprint-ultrafast-protein-protein-interaction	SPRINT: Ultrafast protein-protein interaction prediction of the entire human interactome	1705.06848	http://arxiv.org/abs/1705.06848v1	http://arxiv.org/pdf/1705.06848v1.pdf	https://github.com/lucian-ilie/SPRINT	true	true	false	none
https://paperswithcode.com/paper/profiler-a-fast-and-versatile-new-program-for	$Profiler$ - A Fast and Versatile New Program for Decomposing Galaxy Light Profiles	1607.08620	http://arxiv.org/abs/1607.08620v1	http://arxiv.org/pdf/1607.08620v1.pdf	https://github.com/BogdanCiambur/PROFILER	true	true	false	none
https://paperswithcode.com/paper/cell-veto-monte-carlo-algorithm-for-long	Cell-veto Monte Carlo algorithm for long-range systems	1606.06780	http://arxiv.org/abs/1606.06780v2	http://arxiv.org/pdf/1606.06780v2.pdf	https://github.com/Cell-veto/postlhc	true	true	false	none
https://paperswithcode.com/paper/an-accelerometer-based-calculator-for	An Accelerometer Based Calculator for Visually Impaired People Using Mobile Devices	1604.07660	http://arxiv.org/abs/1604.07660v1	http://arxiv.org/pdf/1604.07660v1.pdf	https://github.com/ereneld/accelerometerbasedcalculatorios	true	true	false	none
https://paperswithcode.com/paper/identification-of-port-hamiltonian-systems	Identification of Port-Hamiltonian Systems from Frequency Response Data	1911.00080	https://arxiv.org/abs/1911.00080v1	https://arxiv.org/pdf/1911.00080v1.pdf	https://github.com/mpimd-csc/Identify_PortHamiltonian_Realization	false	false	true	none
https://paperswithcode.com/paper/using-gaia-dr2-to-constrain-local-dark-matter	Using Gaia DR2 to Constrain Local Dark Matter Density and Thin Dark Disk	1808.05603	https://arxiv.org/abs/1808.05603v2	https://arxiv.org/pdf/1808.05603v2.pdf	https://github.com/bbsonjohn/darkdisk	false	false	true	none
https://paperswithcode.com/paper/githru-visual-analytics-for-understanding	Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis	2009.03115	https://arxiv.org/abs/2009.03115v2	https://arxiv.org/pdf/2009.03115v2.pdf	https://github.com/githru/githru	true	true	true	none
https://paperswithcode.com/paper/a-gaia-dr2-view-of-the-open-cluster	A Gaia DR2 view of the Open Cluster population in the Milky Way	1805.08726	https://arxiv.org/abs/1805.08726v2	https://arxiv.org/pdf/1805.08726v2.pdf	https://github.com/ignotur/Random-forest-open-cluster	false	false	true	none
https://paperswithcode.com/paper/on-hypothesis-testing-trials-factor	On hypothesis testing, trials factor, hypertests and the BumpHunter	1101.0390	https://arxiv.org/abs/1101.0390v2	https://arxiv.org/pdf/1101.0390v2.pdf	https://github.com/lovaslin/pyBumpHunter	false	false	true	none
https://paperswithcode.com/paper/client-based-control-channel-analysis-for	Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks	1701.03304	https://arxiv.org/abs/1701.03304v1	https://arxiv.org/pdf/1701.03304v1.pdf	https://github.com/falkenber9/falcon	false	false	true	none
https://paperswithcode.com/paper/discover-your-competition-in-lte-client-based	Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning	1711.06820	https://arxiv.org/abs/1711.06820v2	https://arxiv.org/pdf/1711.06820v2.pdf	https://github.com/falkenber9/falcon	false	false	true	none
https://paperswithcode.com/paper/problem-agnostic-speech-embeddings-for-multi	Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN	1906.00733	https://arxiv.org/abs/1906.00733v3	https://arxiv.org/pdf/1906.00733v3.pdf	https://github.com/santi-pdp/pase	false	false	true	pytorch
https://paperswithcode.com/paper/mugnet-multi-resolution-graph-neural-network	MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation	null	https://arxiv.org/abs/2009.08924?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%253A+arxiv%252FQSXk+%2528ExcitingAds%2521+cs+updates+on+arXiv.org%2529	https://arxiv.org/abs/2009.08924?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%253A+arxiv%252FQSXk+%2528ExcitingAds%2521+cs+updates+on+arXiv.org%2529	https://github.com/liuyuex97/MuGNet	true	false	false	pytorch
https://paperswithcode.com/paper/implementing-perceptron-models-with-qubits	Implementing perceptron models with qubits	1905.06728	https://arxiv.org/abs/1905.06728v2	https://arxiv.org/pdf/1905.06728v2.pdf	https://github.com/therooler/pennylane-qllh	false	false	true	tf
https://paperswithcode.com/paper/faster-family-wise-error-control-for	Faster Family-wise Error Control for Neuroimaging with a Parametric Bootstrap	1708.05037	http://arxiv.org/abs/1708.05037v2	http://arxiv.org/pdf/1708.05037v2.pdf	https://bitbucket.org/simonvandekar/param-boot	true	true	false	none
https://paperswithcode.com/paper/decentralized-baseband-processing-for-massive	Decentralized Baseband Processing for Massive MU-MIMO Systems	1702.04458	http://arxiv.org/abs/1702.04458v2	http://arxiv.org/pdf/1702.04458v2.pdf	https://github.com/VIP-Group/DBP	true	true	false	none
https://paperswithcode.com/paper/aerial-imagery-pixel-level-segmentation	Aerial Imagery Pixel-level Segmentation	2012.02024	https://arxiv.org/abs/2012.02024v1	https://arxiv.org/pdf/2012.02024v1.pdf	https://github.com/mrheffels/aerial-imagery-segmentation	true	true	false	tf
https://paperswithcode.com/paper/on-the-adoption-usage-and-evolution-of-kotlin	On the adoption, usage and evolution of Kotlin Features on Android development	1907.09003	http://arxiv.org/abs/1907.09003v3	http://arxiv.org/pdf/1907.09003v3.pdf	https://github.com/UPHF/kotlin_features	true	true	false	none
https://paperswithcode.com/paper/deep-learning-to-generate-in-silico-chemical	Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples	1905.08411	http://arxiv.org/abs/1905.08411v1	http://arxiv.org/pdf/1905.08411v1.pdf	https://github.com/pnnl/darkchem	true	true	false	tf
https://paperswithcode.com/paper/rowhammer-and-beyond	RowHammer and Beyond	1903.11056	http://arxiv.org/abs/1903.11056v1	http://arxiv.org/pdf/1903.11056v1.pdf	https://github.com/google/rowhammer-test	true	true	false	none
https://paperswithcode.com/paper/radynversion-learning-to-invert-a-solar-flare	RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks	1901.08626	http://arxiv.org/abs/1901.08626v2	http://arxiv.org/pdf/1901.08626v2.pdf	https://github.com/Goobley/Radynversion	true	true	false	pytorch
https://paperswithcode.com/paper/arja-automated-repair-of-java-programs-via	ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming	1712.07804	http://arxiv.org/abs/1712.07804v1	http://arxiv.org/pdf/1712.07804v1.pdf	https://github.com/yyxhdy/SeededBugs	true	true	false	none
https://paperswithcode.com/paper/kern	KERN	1710.09145	http://arxiv.org/abs/1710.09145v1	http://arxiv.org/pdf/1710.09145v1.pdf	https://github.com/ska-sa/meqtrees-cattery	true	true	false	none
https://paperswithcode.com/paper/re-run-repeat-reproduce-reuse-replicate	Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions	1708.08205	https://arxiv.org/abs/1708.08205v2	https://arxiv.org/pdf/1708.08205v2.pdf	https://github.com/benureau/r5	true	true	false	none
https://paperswithcode.com/paper/multiscale-information-decomposition-exact	Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes	1706.07136	http://arxiv.org/abs/1706.07136v2	http://arxiv.org/pdf/1706.07136v2.pdf	https://github.com/danielemarinazzo/multiscale_PID	true	true	false	none
https://paperswithcode.com/paper/compressing-recurrent-neural-networks-with	Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition	1811.07503	http://arxiv.org/abs/1811.07503v1	http://arxiv.org/pdf/1811.07503v1.pdf	https://github.com/tnbar/tednet	true	false	false	pytorch
https://paperswithcode.com/paper/bayesian-adaptive-n-of-1-trials-for	Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects	1911.00878	http://arxiv.org/abs/1911.00878v3	http://arxiv.org/pdf/1911.00878v3.pdf	https://github.com/SenarathneSGJ/Adaptive_N-of-1_trials_design	true	true	false	none
https://paperswithcode.com/paper/interactive-discovery-system-for-direct	Interactive Discovery System for Direct Democracy	1807.04448	http://arxiv.org/abs/1807.04448v1	http://arxiv.org/pdf/1807.04448v1.pdf	https://github.com/elaragon/decide-topics	true	true	true	none
https://paperswithcode.com/paper/encryptgan-image-steganography-with-domain	EncryptGAN: Image Steganography with Domain Transform	1905.11582	http://arxiv.org/abs/1905.11582v2	http://arxiv.org/pdf/1905.11582v2.pdf	https://github.com/zhengziqiang/EncryptGAN	true	true	true	tf
https://paperswithcode.com/paper/deep-active-inference	Deep Active Inference	1709.02341	http://arxiv.org/abs/1709.02341v5	http://arxiv.org/pdf/1709.02341v5.pdf	https://github.com/kaiu85/deepAI_paper	true	true	true	none
https://paperswithcode.com/paper/setiburst-a-robotic-commensal-realtime-multi	SETIBURST: A Robotic, Commensal, Realtime Multi-Science Backend for the Arecibo Telescope	1701.04538	http://arxiv.org/abs/1701.04538v1	http://arxiv.org/pdf/1701.04538v1.pdf	https://github.com/griffinfoster/alfaburst-survey	false	false	true	none
https://paperswithcode.com/paper/an-adaptive-partition-of-unity-method-for	An adaptive partition of unity method for multivariate Chebyshev polynomial approximations	1805.00423	http://arxiv.org/abs/1805.00423v3	http://arxiv.org/pdf/1805.00423v3.pdf	https://github.com/kevinwaiton/PUchebfun	true	true	true	none
https://paperswithcode.com/paper/hazelnut-a-bidirectionally-typed-structure	Hazelnut: A Bidirectionally Typed Structure Editor Calculus	1607.04180	https://arxiv.org/abs/1607.04180v5	https://arxiv.org/pdf/1607.04180v5.pdf	https://github.com/hazelgrove/hazelnut-dynamics-agda	false	false	true	none
https://paperswithcode.com/paper/live-functional-programming-with-typed-holes	Live Functional Programming with Typed Holes	1805.00155	http://arxiv.org/abs/1805.00155v4	http://arxiv.org/pdf/1805.00155v4.pdf	https://github.com/hazelgrove/hazelnut-dynamics-agda	true	true	true	none
https://paperswithcode.com/paper/on-location-relevance-and-diversity-in-human	On Location Relevance and Diversity in Human Mobility Data	2010.10198	http://arxiv.org/abs/2010.10198v1	http://arxiv.org/pdf/2010.10198v1.pdf	https://github.com/SeqScan/SeqScan-D	true	true	false	none
https://paperswithcode.com/paper/automatic-analysis-and-influence-of	Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music	2010.07518	http://arxiv.org/abs/2010.07518v1	http://arxiv.org/pdf/2010.07518v1.pdf	https://github.com/Dsqvival/hierarchical-structure-analysis	true	true	false	none
https://paperswithcode.com/paper/centering-noisy-images-with-application-to	Centering noisy images with application to cryo-EM	2009.04810	http://arxiv.org/abs/2009.04810v1	http://arxiv.org/pdf/2009.04810v1.pdf	https://github.com/nirsharon/RACER	true	true	false	none
https://paperswithcode.com/paper/model-selection-for-estimation-of-causal	Model selection for estimation of causal parameters	2008.12892	https://arxiv.org/abs/2008.12892v2	https://arxiv.org/pdf/2008.12892v2.pdf	https://github.com/rothenhaeusler/tms	true	true	false	none
https://paperswithcode.com/paper/macsen-a-voice-assistant-for-speakers-of-a	Macsen: A Voice Assistant for Speakers of a Lesser Resourced Language	null	https://aclanthology.org/2020.sltu-1.27	https://aclanthology.org/2020.sltu-1.27.pdf	https://github.com/techiaith/macsen-sgwrsfot	true	false	false	none
https://paperswithcode.com/paper/fault-slip-in-hydraulic-stimulation-of	Fault slip in hydraulic stimulation of geothermal reservoirs: governing mechanisms and process-structure interaction	2008.11190	https://arxiv.org/abs/2008.11190v2	https://arxiv.org/pdf/2008.11190v2.pdf	https://github.com/IvarStefansson/Fault-Slip-in-Hydraulic-Stimulation-of-Geothermal-Reservoirs	true	true	false	none
https://paperswithcode.com/paper/a-group-theoretic-perspective-on	A group theoretic perspective on entanglements of division fields	2008.09886	https://arxiv.org/abs/2008.09886v3	https://arxiv.org/pdf/2008.09886v3.pdf	https://github.com/jmorrow4692/Entanglements	true	true	false	none
https://paperswithcode.com/paper/on-bayesian-inference-for-the-extended	On Bayesian inference for the Extended Plackett-Luce model	2002.05953	http://arxiv.org/abs/2002.05953v1	http://arxiv.org/pdf/2002.05953v1.pdf	https://github.com/srjresearch/ExtendedPL	true	true	false	none
https://paperswithcode.com/paper/boundary-solution-based-on-rescaling-method	Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics	2002.02381	http://arxiv.org/abs/2002.02381v1	http://arxiv.org/pdf/2002.02381v1.pdf	https://github.com/ceciliaromaro/recoup-the-first-and-second-order-statistics-of-neuron-network-dynamics	true	true	false	none
https://paperswithcode.com/paper/cold-start-aware-user-and-product-attention	Cold-Start Aware User and Product Attention for Sentiment Classification	1806.05507	http://arxiv.org/abs/1806.05507v1	http://arxiv.org/pdf/1806.05507v1.pdf	https://github.com/rktamplayo/HCSC	true	true	false	tf
https://paperswithcode.com/paper/a-data-set-of-piercing-needle-through	A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations	2012.02458	https://arxiv.org/abs/2012.02458v1	https://arxiv.org/pdf/2012.02458v1.pdf	https://github.com/imanlab/d-lfd	true	true	true	tf
https://paperswithcode.com/paper/flexwatts-a-power-and-workload-aware-hybrid	FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors	2009.09094	http://arxiv.org/abs/2009.09094v1	http://arxiv.org/pdf/2009.09094v1.pdf	https://github.com/CMU-SAFARI/PDNspot	true	true	false	none
https://paperswithcode.com/paper/local-variables-and-quantum-relational-hoare	Local Variables and Quantum Relational Hoare Logic	2007.14155	http://arxiv.org/abs/2007.14155v1	http://arxiv.org/pdf/2007.14155v1.pdf	https://github.com/dominique-unruh/qrhl-local-variables-isabelle	true	true	false	none
https://paperswithcode.com/paper/rethinking-fun-frequency-domain-utilization	Rethinking FUN: Frequency-Domain Utilization Networks	2012.03357	https://arxiv.org/abs/2012.03357v1	https://arxiv.org/pdf/2012.03357v1.pdf	https://github.com/kfir99/FUN	true	true	true	pytorch
https://paperswithcode.com/paper/selfpose-3d-egocentric-pose-estimation-from-a	SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera	2011.01519	https://arxiv.org/abs/2011.01519v1	https://arxiv.org/pdf/2011.01519v1.pdf	https://github.com/facebookresearch/xR-EgoPose	false	false	false	pytorch
https://paperswithcode.com/paper/balancing-rational-and-other-regarding	Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments	2102.12307	https://arxiv.org/abs/2102.12307v1	https://arxiv.org/pdf/2102.12307v1.pdf	https://github.com/jbr-ai-labs/BAROCCO	false	true	false	pytorch
https://paperswithcode.com/paper/one-shot-video-object-segmentation	One-Shot Video Object Segmentation	1611.05198	http://arxiv.org/abs/1611.05198v4	http://arxiv.org/pdf/1611.05198v4.pdf	https://github.com/Mind23-2/MindCode-5/tree/main/OSVOS	false	false	false	mindspore
https://paperswithcode.com/paper/reducing-network-agnostophobia	Reducing Network Agnostophobia	1811.04110	http://arxiv.org/abs/1811.04110v2	http://arxiv.org/pdf/1811.04110v2.pdf	https://github.com/ROBOTICSENGINEER/Reducing-Network-Agnostophobia-Center-Loss	false	false	false	tf
https://paperswithcode.com/paper/boundary-topological-entanglement-entropy-in	Boundary topological entanglement entropy in two and three dimensions	2012.05244	https://arxiv.org/abs/2012.05244v2	https://arxiv.org/pdf/2012.05244v2.pdf	https://github.com/JCBridgeman/UnitaryPremodularCategoryData	true	true	false	none
https://paperswithcode.com/paper/securing-deep-spiking-neural-networks-against	Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters	2012.05321	https://arxiv.org/abs/2012.05321v1	https://arxiv.org/pdf/2012.05321v1.pdf	https://github.com/rda-ela/SNN-Adversarial-Attacks	true	true	true	pytorch
https://paperswithcode.com/paper/learning-from-an-exploring-demonstrator	Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits	2106.14866	https://arxiv.org/abs/2106.14866v2	https://arxiv.org/pdf/2106.14866v2.pdf	https://github.com/wenshuoguo/inverse-bandit-code-release	true	true	true	none
https://paperswithcode.com/paper/mali-a-memory-efficient-and-reverse-accurate-1	MALI: A memory efficient and reverse accurate integrator for Neural ODEs	2102.04668	https://arxiv.org/abs/2102.04668v2	https://arxiv.org/pdf/2102.04668v2.pdf	https://github.com/juntang-zhuang/TorchDiffEqPack	true	true	false	pytorch
https://paperswithcode.com/paper/direct-design-of-biquad-filter-cascades-with	Direct design of biquad filter cascades with deep learning by sampling random polynomials	2110.03691	https://arxiv.org/abs/2110.03691v2	https://arxiv.org/pdf/2110.03691v2.pdf	https://github.com/csteinmetz1/iirnet	true	true	true	pytorch
https://paperswithcode.com/paper/woodbury-transformations-for-deep-generative	Woodbury Transformations for Deep Generative Flows	2002.12229	https://arxiv.org/abs/2002.12229v3	https://arxiv.org/pdf/2002.12229v3.pdf	https://github.com/yolu1055/WoodburyTransformations	true	false	true	pytorch
https://paperswithcode.com/paper/using-inverse-optimization-to-learn-cost	Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games	2102.12415	https://arxiv.org/abs/2102.12415v1	https://arxiv.org/pdf/2102.12415v1.pdf	https://github.com/sallen7/IO_GNEP	true	true	false	none
https://paperswithcode.com/paper/causal-discovery-with-unobserved-confounding	Causal Discovery with Unobserved Confounding and non-Gaussian Data	2007.11131	https://arxiv.org/abs/2007.11131v2	https://arxiv.org/pdf/2007.11131v2.pdf	https://github.com/ysamwang/ngBap	true	true	false	none
https://paperswithcode.com/paper/swagan-a-style-based-wavelet-driven	SWAGAN: A Style-based Wavelet-driven Generative Model	2102.06108	https://arxiv.org/abs/2102.06108v1	https://arxiv.org/pdf/2102.06108v1.pdf	https://github.com/dkn16/stylegan2-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/rounding-error-using-low-precision	Rounding error using low precision approximate random variables	2012.09739	https://arxiv.org/abs/2012.09739v1	https://arxiv.org/pdf/2012.09739v1.pdf	https://github.com/oliversheridanmethven/low_precision_approximate_random_variables	true	true	false	none
https://paperswithcode.com/paper/draw-your-neural-networks	Draw your Neural Networks	2012.09609	https://arxiv.org/abs/2012.09609v1	https://arxiv.org/pdf/2012.09609v1.pdf	https://github.com/jatinsha/sketch	true	true	false	pytorch
https://paperswithcode.com/paper/impact-of-non-normal-error-distributions-on	Impact of non-normal error distributions on the benchmarking and ranking of Quantum Machine Learning models	2004.02524	https://arxiv.org/abs/2004.02524v1	https://arxiv.org/pdf/2004.02524v1.pdf	https://github.com/ppernot/ML2020	true	false	true	none
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of	Analyzing and Improving the Image Quality of StyleGAN	1912.04958	https://arxiv.org/abs/1912.04958v2	https://arxiv.org/pdf/1912.04958v2.pdf	https://github.com/dkn16/stylegan2-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/training-effective-ensemble-on-imbalanced	Self-paced Ensemble for Highly Imbalanced Massive Data Classification	1909.03500	https://arxiv.org/abs/1909.03500v3	https://arxiv.org/pdf/1909.03500v3.pdf	https://github.com/ZhiningLiu1998/self-paced-ensemble	true	true	true	none
https://paperswithcode.com/paper/node-feature-extraction-by-self-supervised-1	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction	2111.00064	https://arxiv.org/abs/2111.00064v3	https://arxiv.org/pdf/2111.00064v3.pdf	https://github.com/elichienxD/SAGN_with_SLE	false	false	true	pytorch
https://paperswithcode.com/paper/the-weighted-kendall-and-high-order-kernels	The Weighted Kendall and High-order Kernels for Permutations	1802.08526	http://arxiv.org/abs/1802.08526v2	http://arxiv.org/pdf/1802.08526v2.pdf	https://github.com/YunlongJiao/weightedkendall	true	true	true	none
https://paperswithcode.com/paper/collision-free-trajectory-optimization-in	Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming	2404.05242	https://arxiv.org/abs/2404.05242v2	https://arxiv.org/pdf/2404.05242v2.pdf	https://github.com/lyl00/minimum_scaling_free_region	true	true	true	none
https://paperswithcode.com/paper/you-only-look-twice-rapid-multi-scale-object	You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery	1805.09512	http://arxiv.org/abs/1805.09512v1	http://arxiv.org/pdf/1805.09512v1.pdf	https://github.com/zk2ly/Glass_insulator_defect_detection	false	false	true	pytorch
https://paperswithcode.com/paper/chatgpt-for-digital-forensic-investigation	ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown	2307.10195	https://arxiv.org/abs/2307.10195v1	https://arxiv.org/pdf/2307.10195v1.pdf	https://github.com/markscanlonucd/chatgpt-for-digital-forensics	true	true	false	none
https://paperswithcode.com/paper/bilinear-representation-for-language-based	Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks	1903.07499	http://arxiv.org/abs/1903.07499v1	http://arxiv.org/pdf/1903.07499v1.pdf	https://github.com/vtddggg/BilinearGAN_for_LBIE	true	true	true	pytorch
https://paperswithcode.com/paper/non-commutative-blahut-arimoto-algorithms	Computing Quantum Channel Capacities	1905.01286	https://arxiv.org/abs/1905.01286v4	https://arxiv.org/pdf/1905.01286v4.pdf	https://github.com/sagnikb/quantum-blahut-arimoto	false	false	true	none
https://paperswithcode.com/paper/beyond-part-models-person-retrieval-with	Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	1711.09349	http://arxiv.org/abs/1711.09349v3	http://arxiv.org/pdf/1711.09349v3.pdf	https://github.com/Mind23-2/MindCode-5/tree/main/pcb_rpp	false	false	false	mindspore
https://paperswithcode.com/paper/convtransformer-a-convolutional-transformer	ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis	2011.10185	https://arxiv.org/abs/2011.10185v2	https://arxiv.org/pdf/2011.10185v2.pdf	https://github.com/harryzhu123/ConvTransformer	false	false	true	pytorch
https://paperswithcode.com/paper/decoupling-semantic-context-and-color	Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization	1810.07901	http://arxiv.org/abs/1810.07901v2	http://arxiv.org/pdf/1810.07901v2.pdf	https://github.com/tejgvsl/Color-constancy	true	false	false	tf
https://paperswithcode.com/paper/visual-transformers-token-based-image	Visual Transformers: Token-based Image Representation and Processing for Computer Vision	2006.03677	https://arxiv.org/abs/2006.03677v4	https://arxiv.org/pdf/2006.03677v4.pdf	https://github.com/aws-samples/amazon-sagemaker-visual-transformer	false	false	true	pytorch
https://paperswithcode.com/paper/learning-by-fixing-solving-math-word-problems	Learning by Fixing: Solving Math Word Problems with Weak Supervision	2012.10582	https://arxiv.org/abs/2012.10582v2	https://arxiv.org/pdf/2012.10582v2.pdf	https://github.com/evelinehong/LBF	true	false	true	pytorch
https://paperswithcode.com/paper/deep-co-attention-network-for-multi-view	Deep Co-Attention Network for Multi-View Subspace Learning	2102.07751	https://arxiv.org/abs/2102.07751v1	https://arxiv.org/pdf/2102.07751v1.pdf	https://github.com/Leo02016/ANTS	true	true	false	pytorch
https://paperswithcode.com/paper/bridging-textual-and-tabular-data-for-cross	Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing	2012.12627	https://arxiv.org/abs/2012.12627v2	https://arxiv.org/pdf/2012.12627v2.pdf	https://github.com/salesforce/TabularSemanticParsing	true	true	true	pytorch
https://paperswithcode.com/paper/autoprof-i-an-automated-non-parametric-light	AutoProf -- I. An automated non-parametric light profile pipeline for modern galaxy surveys	2106.13809	https://arxiv.org/abs/2106.13809v2	https://arxiv.org/pdf/2106.13809v2.pdf	https://github.com/ConnorStoneAstro/AutoProf	true	true	false	pytorch

Subsets and Splits

Framework Repo Connectivity Analysis

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

Deduplicated Paper-Code Links

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

Paper Repo Counts & Distribution

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

Quantum Papers with Code Links

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

Financial Stock Price Prediction

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

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

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

Search for YOLO Links

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

Prompt Optimization and Personalization

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