Datasets:
pwc-archive
/
links-between-paper-and-code

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/numerical-modeling-of-specimen-geometry-for
Numerical modeling of specimen geometry for quantitative energy dispersive X-ray spectroscopy
1708.04565
http://arxiv.org/abs/1708.04565v1
http://arxiv.org/pdf/1708.04565v1.pdf
https://github.com/subangstrom/superAngle
true
true
false
none
https://paperswithcode.com/paper/semi-global-weighted-least-squares-in-image-1
Semi-Global Weighted Least Squares in Image Filtering
1705.01674
http://arxiv.org/abs/1705.01674v4
http://arxiv.org/pdf/1705.01674v4.pdf
https://github.com/wliusjtu/Semi-Global-Weighted-Least-Squares-in-Image-Filtering
true
true
false
none
https://paperswithcode.com/paper/bottom-up-and-top-down-attention-for-image
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
1707.07998
http://arxiv.org/abs/1707.07998v3
http://arxiv.org/pdf/1707.07998v3.pdf
https://github.com/FJSam/SelfCritical_ImageCaptioning
false
false
true
pytorch
https://paperswithcode.com/paper/diagnosing-error-in-temporal-action-detectors
Diagnosing Error in Temporal Action Detectors
1807.10706
http://arxiv.org/abs/1807.10706v1
http://arxiv.org/pdf/1807.10706v1.pdf
https://github.com/HumamAlwassel/DETAD
true
false
false
none
https://paperswithcode.com/paper/hierarchical-interpolative-factorization-for-1
Hierarchical interpolative factorization for elliptic operators: differential equations
1307.2895
http://arxiv.org/abs/1307.2895v3
http://arxiv.org/pdf/1307.2895v3.pdf
https://github.com/klho/FLAM
true
true
false
none
https://paperswithcode.com/paper/will-this-paper-increase-your-h-index
Will This Paper Increase Your h-index? Scientific Impact Prediction
1412.4754
https://arxiv.org/abs/1412.4754v1
https://arxiv.org/pdf/1412.4754v1.pdf
https://github.com/nmhaddad/youtube-machine-learning-experiments
false
false
true
none
https://paperswithcode.com/paper/past-present-and-future-of-simultaneous
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
1606.05830
http://arxiv.org/abs/1606.05830v4
http://arxiv.org/pdf/1606.05830v4.pdf
https://github.com/dannofield/Particle-Filter-Kidnapped-Vehicle
false
false
true
none
https://paperswithcode.com/paper/ngraph-he-a-graph-compiler-for-deep-learning
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
1810.10121
http://arxiv.org/abs/1810.10121v1
http://arxiv.org/pdf/1810.10121v1.pdf
https://github.com/NervanaSystems/he-transformer
true
false
true
tf
https://paperswithcode.com/paper/blockclique-scaling-blockchains-through
Blockclique: scaling blockchains through transaction sharding in a multithreaded block graph
1803.09029
http://arxiv.org/abs/1803.09029v4
http://arxiv.org/pdf/1803.09029v4.pdf
https://gitlab.com/blockclique/blockclique
true
false
true
none
https://paperswithcode.com/paper/a-supervised-neural-network-for-drag
A supervised neural network for drag prediction of arbitrary 2D shapes in low Reynolds number flows
1907.05090
https://arxiv.org/abs/1907.05090v4
https://arxiv.org/pdf/1907.05090v4.pdf
https://github.com/jviquerat/cnn_drag_prediction
true
true
true
tf
https://paperswithcode.com/paper/optimisation-of-wastewater-treatment
Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport
2005.09987
https://arxiv.org/abs/2005.09987v1
https://arxiv.org/pdf/2005.09987v1.pdf
https://github.com/ckjzsa/opt_wastewater_treatment_strategies
false
false
true
none
https://paperswithcode.com/paper/improving-direct-physical-properties
Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model
1712.03811
https://arxiv.org/abs/1712.03811v1
https://arxiv.org/pdf/1712.03811v1.pdf
https://github.com/DesignInformaticsLab/Morphology-Aware-Network
false
false
true
tf
https://paperswithcode.com/paper/characterizing-and-detecting-hateful-users-on
Characterizing and Detecting Hateful Users on Twitter
1803.08977
https://arxiv.org/abs/1803.08977v1
https://arxiv.org/pdf/1803.08977v1.pdf
https://github.com/PhilippeCodes/Twitter-Pronoun-Retweet-Graph-Analysis
false
false
true
none
https://paperswithcode.com/paper/pcpnet-learning-local-shape-properties-from
PCPNET: Learning Local Shape Properties from Raw Point Clouds
1710.04954
http://arxiv.org/abs/1710.04954v4
http://arxiv.org/pdf/1710.04954v4.pdf
https://github.com/ModelBunker/PointNet-TensorFlow
false
false
true
tf
https://paperswithcode.com/paper/combinatorial-superstatistics-for-soft-qcd
Combinatorial Superstatistics for Soft QCD
1910.06279
https://arxiv.org/abs/1910.06279v2
https://arxiv.org/pdf/1910.06279v2.pdf
https://github.com/mieskolainen/Diffractive-Combinatorics
false
false
true
none
https://paperswithcode.com/paper/effective-mass-of-quasiparticles-from
Effective mass of quasiparticles from thermodynamics
1704.04076
http://arxiv.org/abs/1704.04076v2
http://arxiv.org/pdf/1704.04076v2.pdf
https://github.com/fgeich/pyFTEGhf
true
true
false
none
https://paperswithcode.com/paper/federated-semi-supervised-learning-with-inter
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
2006.12097
https://arxiv.org/abs/2006.12097v3
https://arxiv.org/pdf/2006.12097v3.pdf
https://github.com/wyjeong/FedMatch
true
true
false
tf
https://paperswithcode.com/paper/parallel-decompression-of-gzip-compressed
Parallel decompression of gzip-compressed files and random access to DNA sequences
1905.07224
http://arxiv.org/abs/1905.07224v1
http://arxiv.org/pdf/1905.07224v1.pdf
https://github.com/Piezoid/pugz
true
true
false
none
https://paperswithcode.com/paper/coreneuron-an-optimized-compute-engine-for
CoreNEURON : An Optimized Compute Engine for the NEURON Simulator
1901.10975
http://arxiv.org/abs/1901.10975v1
http://arxiv.org/pdf/1901.10975v1.pdf
https://github.com/bluebrain/CoreNeuron
true
true
false
none
https://paperswithcode.com/paper/engineering-resilient-collective-adaptive
Engineering Resilient Collective Adaptive Systems by Self-Stabilisation
1711.08297
http://arxiv.org/abs/1711.08297v1
http://arxiv.org/pdf/1711.08297v1.pdf
https://bitbucket.org/danysk/experiment-2017-tomacs
true
true
false
none
https://paperswithcode.com/paper/emufog-extensible-and-scalable-emulation-of
EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures
1709.07563
http://arxiv.org/abs/1709.07563v1
http://arxiv.org/pdf/1709.07563v1.pdf
https://github.com/emufog/emufog
true
true
false
none
https://paperswithcode.com/paper/energy-based-comparison-between-the-fourier
Energy-based comparison between the Fourier--Galerkin method and the finite element method
1709.08477
http://arxiv.org/abs/1709.08477v2
http://arxiv.org/pdf/1709.08477v2.pdf
https://github.com/vondrejc/FFTHomPy
true
true
false
none
https://paperswithcode.com/paper/tikz-network-manual
TikZ-network manual
1709.06005
https://arxiv.org/abs/1709.06005v2
https://arxiv.org/pdf/1709.06005v2.pdf
https://github.com/hackl/network2tikz
true
true
false
none
https://paperswithcode.com/paper/algebra-based-loop-synthesis
Algebra-based Loop Synthesis
2004.11787
http://arxiv.org/abs/2004.11787v2
http://arxiv.org/pdf/2004.11787v2.pdf
https://github.com/ahumenberger/Absynth.jl
true
true
false
none
https://paperswithcode.com/paper/geobroker-leveraging-geo-contexts-for-iot
GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution
2001.01603
http://arxiv.org/abs/2001.01603v3
http://arxiv.org/pdf/2001.01603v3.pdf
https://github.com/MoeweX/GeoBroker
true
true
false
none
https://paperswithcode.com/paper/a-geometric-based-preprocessing-for-weighted
A geometric based preprocessing for weighted ray transforms with applications in SPECT
1911.05470
http://arxiv.org/abs/1911.05470v3
http://arxiv.org/pdf/1911.05470v3.pdf
https://github.com/fedor-goncharov/wrt-project
true
true
false
none
https://paperswithcode.com/paper/a-flexible-machine-learning-aware
A Flexible Machine Learning-Aware Architecture for Future WLANs
1910.03510
http://arxiv.org/abs/1910.03510v3
http://arxiv.org/pdf/1910.03510v3.pdf
https://github.com/fwilhelmi/machine_learning_aware_architecture_wlans
true
true
false
none
https://paperswithcode.com/paper/equations-in-three-singular-moduli-the-equal
Equations in three singular moduli: the equal exponent case
2105.12696
https://arxiv.org/abs/2105.12696v2
https://arxiv.org/pdf/2105.12696v2.pdf
https://github.com/guyfowler/three_singular_moduli
true
true
false
none
https://paperswithcode.com/paper/bridging-semantic-gaps-between-natural
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
1810.09723
http://arxiv.org/abs/1810.09723v1
http://arxiv.org/pdf/1810.09723v1.pdf
https://github.com/softw-lab/word2api
true
true
false
none
https://paperswithcode.com/paper/large-scale-cover-song-detection-in-digital
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
1808.10351
http://arxiv.org/abs/1808.10351v1
http://arxiv.org/pdf/1808.10351v1.pdf
https://github.com/deezer/cover_song_detection
true
true
false
none
https://paperswithcode.com/paper/information-estimation-using-nonparametric
Information estimation using nonparametric copulas
1807.08018
http://arxiv.org/abs/1807.08018v2
http://arxiv.org/pdf/1807.08018v2.pdf
https://github.com/houman1359/NPC_Info
true
true
false
none
https://paperswithcode.com/paper/semi-analytic-galaxy-evolution-sage-model
Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results
1601.04709
http://arxiv.org/abs/1601.04709v3
http://arxiv.org/pdf/1601.04709v3.pdf
https://github.com/jacobseiler/rsage
false
false
true
none
https://paperswithcode.com/paper/the-accuracy-of-semi-numerical-reionization
The accuracy of semi-numerical reionization models in comparison with radiative transfer simulations
1803.00088
http://arxiv.org/abs/1803.00088v1
http://arxiv.org/pdf/1803.00088v1.pdf
https://github.com/jacobseiler/rsage
false
false
true
none
https://paperswithcode.com/paper/disco-physics-based-unsupervised-discovery-of
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
1909.11822
https://arxiv.org/abs/1909.11822v1
https://arxiv.org/pdf/1909.11822v1.pdf
https://github.com/intel/daal
false
false
true
none
https://paperswithcode.com/paper/global-and-optimal-probes-for-the-top-quark
Global and optimal probes for the top-quark effective field theory at future lepton colliders
1807.02121
https://arxiv.org/abs/1807.02121v1
https://arxiv.org/pdf/1807.02121v1.pdf
https://github.com/gdurieux/optimal_observables_ee2tt2bwbw
true
true
true
none
https://paperswithcode.com/paper/an-abstract-machine-for-strong-call-by-value
An Abstract Machine for Strong Call by Value
2009.06984
http://arxiv.org/abs/2009.06984v1
http://arxiv.org/pdf/2009.06984v1.pdf
https://bitbucket.org/pl-uwr/scbv-machine
true
true
false
none
https://paperswithcode.com/paper/batching-and-matching-for-food-delivery-in
Batching and Matching for Food Delivery in Dynamic Road Networks
2008.12905
http://arxiv.org/abs/2008.12905v1
http://arxiv.org/pdf/2008.12905v1.pdf
https://github.com/idea-iitd/FoodMatch
true
true
false
none
https://paperswithcode.com/paper/strongly-coupled-heavy-and-light-quark
Strongly Coupled Heavy and Light Quark Thermal Motion from AdS/CFT
2008.09196
https://arxiv.org/abs/2008.09196v3
https://arxiv.org/pdf/2008.09196v3.pdf
https://github.com/AlexesMes/brownian-motion-of-quarks
true
true
false
none
https://paperswithcode.com/paper/stellar-streams-in-chameleon-gravity
Stellar Streams in Chameleon Gravity
2002.05738
http://arxiv.org/abs/2002.05738v1
http://arxiv.org/pdf/2002.05738v1.pdf
https://github.com/aneeshnaik/smoggy
true
true
false
none
https://paperswithcode.com/paper/cohomology-fractals
Cohomology fractals
2002.00239
http://arxiv.org/abs/2002.00239v2
http://arxiv.org/pdf/2002.00239v2.pdf
https://github.com/henryseg/cohomology_fractals
true
true
false
none
https://paperswithcode.com/paper/neural-embeddings-of-scholarly-periodicals
Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
2001.08199
https://arxiv.org/abs/2001.08199v2
https://arxiv.org/pdf/2001.08199v2.pdf
https://github.com/haoopeng/periodicals
true
true
false
none
https://paperswithcode.com/paper/looking-for-machos-in-the-spectra-of-fast
Looking for MACHOs in the Spectra of Fast Radio Bursts
1912.07620
http://arxiv.org/abs/1912.07620v1
http://arxiv.org/pdf/1912.07620v1.pdf
https://github.com/andrey-katz/FRB_lensing
true
true
false
none
https://paperswithcode.com/paper/rtj-a-java-framework-for-detecting-and
RTj: a Java framework for detecting and refactoring rotten green test cases
1912.07322
http://arxiv.org/abs/1912.07322v1
http://arxiv.org/pdf/1912.07322v1.pdf
https://github.com/UPHF/RTj
true
true
false
none
https://paperswithcode.com/paper/gpcal-a-generalized-calibration-pipeline-for
GPCAL: a generalized calibration pipeline for instrumental polarization in VLBI data
2011.09713
http://arxiv.org/abs/2011.09713v1
http://arxiv.org/pdf/2011.09713v1.pdf
https://github.com/jhparkastro/gpcal
true
true
false
none
https://paperswithcode.com/paper/bayesian-matrix-completion-for-hypothesis
Bayesian Matrix Completion for Hypothesis Testing
2009.08405
https://arxiv.org/abs/2009.08405v6
https://arxiv.org/pdf/2009.08405v6.pdf
https://github.com/jinbora0720/BMC
true
true
false
none
https://paperswithcode.com/paper/elastica-a-compliant-mechanics-environment
Elastica: A compliant mechanics environment for soft robotic control
2009.08422
http://arxiv.org/abs/2009.08422v1
http://arxiv.org/pdf/2009.08422v1.pdf
https://github.com/GazzolaLab/PyElastica
true
true
false
none
https://paperswithcode.com/paper/predicting-cell-phone-adoption-metrics-using
Predicting cell phone adoption metrics using satellite imagery
2006.07311
https://arxiv.org/abs/2006.07311v5
https://arxiv.org/pdf/2006.07311v5.pdf
https://github.com/edwardoughton/taddle
true
true
false
pytorch
https://paperswithcode.com/paper/dgm-a-deep-learning-algorithm-for-solving
DGM: A deep learning algorithm for solving partial differential equations
1708.07469
http://arxiv.org/abs/1708.07469v5
http://arxiv.org/pdf/1708.07469v5.pdf
https://github.com/atapritchard/DPDEs
false
false
true
tf
https://paperswithcode.com/paper/qopt-an-experiment-oriented-qubit-simulation
qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package
2110.05873
https://arxiv.org/abs/2110.05873v1
https://arxiv.org/pdf/2110.05873v1.pdf
https://github.com/qutech/qopt-applications
true
true
true
none
https://paperswithcode.com/paper/mdp-homomorphic-networks-group-symmetries-in
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
2006.16908
https://arxiv.org/abs/2006.16908v2
https://arxiv.org/pdf/2006.16908v2.pdf
https://github.com/ElisevanderPol/symmetrizer
false
false
true
pytorch
https://paperswithcode.com/paper/learning-pose-invariant-3d-object
Learning Pose-invariant 3D Object Reconstruction from Single-view Images
2004.01347
https://arxiv.org/abs/2004.01347v2
https://arxiv.org/pdf/2004.01347v2.pdf
https://github.com/bomb2peng/learn3D
true
true
true
pytorch
https://paperswithcode.com/paper/aide-annotation-efficient-deep-learning-for
Annotation-efficient deep learning for automatic medical image segmentation
2012.04885
https://arxiv.org/abs/2012.04885v3
https://arxiv.org/pdf/2012.04885v3.pdf
https://github.com/lich0031/AIDE
true
true
false
pytorch
https://paperswithcode.com/paper/simple-is-not-easy-a-simple-strong-baseline
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
2012.05153
https://arxiv.org/abs/2012.05153v1
https://arxiv.org/pdf/2012.05153v1.pdf
https://github.com/ZephyrZhuQi/ssbaseline
true
true
false
pytorch
https://paperswithcode.com/paper/perspectives-and-solutions-towards
Perspectives and solutions towards intelligent ambient assisted living systems
2102.13173
https://arxiv.org/abs/2102.13173v2
https://arxiv.org/pdf/2102.13173v2.pdf
https://github.com/hongsun502/AALDemo
true
true
false
none
https://paperswithcode.com/paper/active-sampling-a-machine-learning-assisted
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
2212.10024
https://arxiv.org/abs/2212.10024v3
https://arxiv.org/pdf/2212.10024v3.pdf
https://github.com/imbhe/activesampling
true
true
false
none
https://paperswithcode.com/paper/a-neural-rendering-framework-for-free
A Neural Rendering Framework for Free-Viewpoint Relighting
1911.11530
https://arxiv.org/abs/1911.11530v2
https://arxiv.org/pdf/1911.11530v2.pdf
https://github.com/apchenstu/mvsnerf
false
false
true
pytorch
https://paperswithcode.com/paper/the-galah-survey-a-catalogue-of-carbon
The GALAH survey: a catalogue of carbon-enhanced stars and CEMP candidates
1807.07977
http://arxiv.org/abs/1807.07977v2
http://arxiv.org/pdf/1807.07977v2.pdf
https://github.com/kcotar/GALAH-survey-Carbon-enhanced-stars
true
false
false
none
https://paperswithcode.com/paper/clustering-ensemble-meets-low-rank-tensor
Clustering Ensemble Meets Low-rank Tensor Approximation
2012.08916
https://arxiv.org/abs/2012.08916v1
https://arxiv.org/pdf/2012.08916v1.pdf
https://github.com/jyh-learning/TensorClusteringEnsemble
true
false
true
none
https://paperswithcode.com/paper/electra-pre-training-text-encoders-as-1
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
2003.10555
https://arxiv.org/abs/2003.10555v1
https://arxiv.org/pdf/2003.10555v1.pdf
https://github.com/MalteHB/-l-ctra
false
false
true
tf
https://paperswithcode.com/paper/rexnet-diminishing-representational
Rethinking Channel Dimensions for Efficient Model Design
2007.00992
https://arxiv.org/abs/2007.00992v3
https://arxiv.org/pdf/2007.00992v3.pdf
https://github.com/ysbsb/ReXNet-PyTorch
false
false
true
pytorch
https://paperswithcode.com/paper/pannuke-dataset-extension-insights-and
PanNuke Dataset Extension, Insights and Baselines
2003.10778
https://arxiv.org/abs/2003.10778v7
https://arxiv.org/pdf/2003.10778v7.pdf
https://github.com/vqdang/hover_net
false
false
true
tf
https://paperswithcode.com/paper/earthnet2021-a-novel-large-scale-dataset-and
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
2012.06246
https://arxiv.org/abs/2012.06246v1
https://arxiv.org/pdf/2012.06246v1.pdf
https://github.com/earthnet2021/earthnet-model-intercomparison-suite
false
false
true
none
https://paperswithcode.com/paper/opera-harmonizing-task-oriented-dialogs-and
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience
2206.12449
https://arxiv.org/abs/2206.12449v1
https://arxiv.org/pdf/2206.12449v1.pdf
https://github.com/Miaoranmmm/OPERA
true
false
false
pytorch
https://paperswithcode.com/paper/two-pass-discourse-segmentation-with-pairing
Two-pass Discourse Segmentation with Pairing and Global Features
1407.8215
http://arxiv.org/abs/1407.8215v1
http://arxiv.org/pdf/1407.8215v1.pdf
https://github.com/Akanni96/feng-hirst-rst-parser
false
false
true
none
https://paperswithcode.com/paper/flow-architecture-and-benchmarking-for
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
1710.05465
https://arxiv.org/abs/1710.05465v4
https://arxiv.org/pdf/1710.05465v4.pdf
https://github.com/pengyuan-zhou/Multi-agent-RL-traffic-light-control
false
false
true
none
https://paperswithcode.com/paper/ef-net-a-novel-enhancement-and-fusion-network
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection
null
https://www.sciencedirect.com/science/article/abs/pii/S0031320320305434
https://www.sciencedirect.com/science/article/abs/pii/S0031320320305434
https://github.com/PPOLYpubki/EF-Net
false
false
false
pytorch
https://paperswithcode.com/paper/distilling-knowledge-from-reader-to-retriever-1
Distilling Knowledge from Reader to Retriever for Question Answering
2012.04584
https://arxiv.org/abs/2012.04584v2
https://arxiv.org/pdf/2012.04584v2.pdf
https://github.com/lucidrains/marge-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/categorization-of-two-loop-feynman-diagrams
Categorization of two-loop Feynman diagrams in the $\mathcal O(α^2)$ correction to $e^+e^- \rightarrow ZH$
2012.12513
https://arxiv.org/abs/2012.12513v2
https://arxiv.org/pdf/2012.12513v2.pdf
https://github.com/zhaoli-IHEP/eeHZ_nnloEW_diagrams
true
true
false
none
https://paperswithcode.com/paper/dynamic-object-removal-and-spatio-temporal
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning
2008.05058
https://arxiv.org/abs/2008.05058v4
https://arxiv.org/pdf/2008.05058v4.pdf
https://github.com/robot-learning-freiburg/DynaFill
false
false
true
pytorch
https://paperswithcode.com/paper/automated-customized-bug-benchmark-generation
Automated Customized Bug-Benchmark Generation
1901.02819
https://arxiv.org/abs/1901.02819v2
https://arxiv.org/pdf/1901.02819v2.pdf
https://github.com/grammatech/sel
false
false
true
none
https://paperswithcode.com/paper/software-mutational-robustness
Software Mutational Robustness
1204.4224
https://arxiv.org/abs/1204.4224v3
https://arxiv.org/pdf/1204.4224v3.pdf
https://github.com/grammatech/sel
false
false
true
none
https://paperswithcode.com/paper/fairness-without-demographics-through
Fairness without Demographics through Adversarially Reweighted Learning
2006.13114
https://arxiv.org/abs/2006.13114v3
https://arxiv.org/pdf/2006.13114v3.pdf
https://github.com/lucweytingh/ARL-UvA
false
false
false
pytorch
https://paperswithcode.com/paper/variance-change-point-detection-with-credible
Bayesian variance change point detection with credible sets
2211.14097
https://arxiv.org/abs/2211.14097v3
https://arxiv.org/pdf/2211.14097v3.pdf
https://github.com/lorenzocapp/prisca
true
true
false
none
https://paperswithcode.com/paper/exploring-adversarial-robustness-of-deep
Exploring Adversarial Robustness of Deep Metric Learning
2102.07265
https://arxiv.org/abs/2102.07265v1
https://arxiv.org/pdf/2102.07265v1.pdf
https://github.com/anonymous-koala-supporter/adversarial-deep-metric-learning
true
true
false
pytorch
https://paperswithcode.com/paper/tag-assisted-neural-machine-translation-of
Tag Assisted Neural Machine Translation of Film Subtitles
null
https://aclanthology.org/2021.iwslt-1.30
https://aclanthology.org/2021.iwslt-1.30.pdf
https://github.com/compwiztobe/tagged-seq2seq
true
true
false
pytorch
https://paperswithcode.com/paper/keyphrase-generation-for-scientific-document-1
Keyphrase Generation for Scientific Document Retrieval
2106.14726
https://arxiv.org/abs/2106.14726v1
https://arxiv.org/pdf/2106.14726v1.pdf
https://github.com/boudinfl/ir-using-kg
true
true
false
none
https://paperswithcode.com/paper/directed-searches-for-gravitational-waves
Directed searches for gravitational waves from ultralight bosons
1810.03812
https://arxiv.org/abs/1810.03812v3
https://arxiv.org/pdf/1810.03812v3.pdf
https://github.com/maxisi/gwaxion
false
false
true
none
https://paperswithcode.com/paper/190503375
Embarrassingly Shallow Autoencoders for Sparse Data
1905.03375
https://arxiv.org/abs/1905.03375v1
https://arxiv.org/pdf/1905.03375v1.pdf
https://github.com/franckjay/TorchEASE
false
false
true
pytorch
https://paperswithcode.com/paper/pytorrent-a-python-library-corpus-for-large
PyTorrent: A Python Library Corpus for Large-scale Language Models
2110.01710
https://arxiv.org/abs/2110.01710v1
https://arxiv.org/pdf/2110.01710v1.pdf
https://github.com/fla-sil/PyTorrent
true
true
true
none
https://paperswithcode.com/paper/gravitational-wave-searches-for-ultralight
Gravitational wave searches for ultralight bosons with LIGO and LISA
1706.06311
https://arxiv.org/abs/1706.06311v2
https://arxiv.org/pdf/1706.06311v2.pdf
https://github.com/maxisi/gwaxion
false
false
true
none
https://paperswithcode.com/paper/theoretically-principled-trade-off-between
Theoretically Principled Trade-off between Robustness and Accuracy
1901.08573
https://arxiv.org/abs/1901.08573v3
https://arxiv.org/pdf/1901.08573v3.pdf
https://github.com/arobey1/advbench
false
false
true
pytorch
https://paperswithcode.com/paper/point2mesh-a-self-prior-for-deformable-meshes
Point2Mesh: A Self-Prior for Deformable Meshes
2005.11084
https://arxiv.org/abs/2005.11084v1
https://arxiv.org/pdf/2005.11084v1.pdf
https://github.com/dcharatan/point2mesh-reimplementation
false
false
false
tf
https://paperswithcode.com/paper/hyperspherical-variational-auto-encoders
Hyperspherical Variational Auto-Encoders
1804.00891
https://arxiv.org/abs/1804.00891v3
https://arxiv.org/pdf/1804.00891v3.pdf
https://github.com/nicola-decao/s-vae-tf
true
true
true
tf
https://paperswithcode.com/paper/probabilistic-safety-constraints-for-learned
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
1912.10116
https://arxiv.org/abs/1912.10116v3
https://arxiv.org/pdf/1912.10116v3.pdf
https://github.com/wecacuee/Bayesian_CBF
true
false
false
pytorch
https://paperswithcode.com/paper/accuracy-vs-complexity-for-mmwave-ray-tracing
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective
2007.07125
https://arxiv.org/abs/2007.07125v1
https://arxiv.org/pdf/2007.07125v1.pdf
https://github.com/signetlabdei/qd-realization
true
false
false
none
https://paperswithcode.com/paper/control-barriers-in-bayesian-learning-of
Control Barriers in Bayesian Learning of System Dynamics
2012.14964
https://arxiv.org/abs/2012.14964v2
https://arxiv.org/pdf/2012.14964v2.pdf
https://github.com/wecacuee/Bayesian_CBF
true
true
false
pytorch
https://paperswithcode.com/paper/dsxplore-optimizing-convolutional-neural
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
2101.00745
https://arxiv.org/abs/2101.00745v1
https://arxiv.org/pdf/2101.00745v1.pdf
https://github.com/YukeWang96/DSXplore
true
true
true
pytorch
https://paperswithcode.com/paper/case-studies-in-network-community-detection
Case studies in network community detection
1705.02305
https://arxiv.org/abs/1705.02305v1
https://arxiv.org/pdf/1705.02305v1.pdf
https://github.com/taylordr/supracentrality
false
false
true
none
https://paperswithcode.com/paper/underwater-image-enhancement-based-on-deep
Underwater Image Enhancement based on Deep Learning and Image Formation Model
2101.00991
https://arxiv.org/abs/2101.00991v2
https://arxiv.org/pdf/2101.00991v2.pdf
https://github.com/xueleichen/PyTorch-Underwater-Image-Enhancement
true
true
true
pytorch
https://paperswithcode.com/paper/particle-swarm-based-hyper-parameter
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials
2101.00049
https://arxiv.org/abs/2101.00049v1
https://arxiv.org/pdf/2101.00049v1.pdf
https://github.com/suresh0807/PPSO
true
true
false
none
https://paperswithcode.com/paper/bayesian-image-reconstruction-using-deep
Bayesian Image Reconstruction using Deep Generative Models
2012.04567
https://arxiv.org/abs/2012.04567v5
https://arxiv.org/pdf/2012.04567v5.pdf
https://github.com/razvanmarinescu/brgm
true
false
true
tf
https://paperswithcode.com/paper/preconditioned-training-of-normalizing-flows
Preconditioned training of normalizing flows for variational inference in inverse problems
2101.03709
https://arxiv.org/abs/2101.03709v1
https://arxiv.org/pdf/2101.03709v1.pdf
https://github.com/slimgroup/Software.siahkoohi2021AABIpto
true
true
false
none
https://paperswithcode.com/paper/rezero-is-all-you-need-fast-convergence-at
ReZero is All You Need: Fast Convergence at Large Depth
2003.04887
https://arxiv.org/abs/2003.04887v2
https://arxiv.org/pdf/2003.04887v2.pdf
https://github.com/EugenHotaj/pytorch-generative/blob/master/pytorch_generative/nn/utils.py
false
false
false
pytorch
https://paperswithcode.com/paper/few-shot-dialogue-state-tracking-using-meta
Few Shot Dialogue State Tracking using Meta-learning
2101.06779
https://arxiv.org/abs/2101.06779v3
https://arxiv.org/pdf/2101.06779v3.pdf
https://github.com/saketdingliwal/Few-Shot-DST
true
true
true
pytorch
https://paperswithcode.com/paper/an-smt-based-approach-for-verifying-binarized
An SMT-Based Approach for Verifying Binarized Neural Networks
2011.02948
https://arxiv.org/abs/2011.02948v2
https://arxiv.org/pdf/2011.02948v2.pdf
https://github.com/guyam2/BNN_Verification_Artifact
true
true
false
none
https://paperswithcode.com/paper/exploring-the-structure-of-a-real-time
Exploring the structure of a real-time, arbitrary neural artistic stylization network
1705.06830
http://arxiv.org/abs/1705.06830v2
http://arxiv.org/pdf/1705.06830v2.pdf
https://github.com/jiean001/models_m/tree/main/ArbitraryStyleTransfer
false
false
false
mindspore
https://paperswithcode.com/paper/investigation-of-a-data-split-strategy
Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning
2204.08682
https://arxiv.org/abs/2204.08682v2
https://arxiv.org/pdf/2204.08682v2.pdf
https://github.com/mizuno-group/ae_prediction
true
true
false
pytorch
https://paperswithcode.com/paper/sequence-generation-using-deep-recurrent
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music
2012.01231
https://arxiv.org/abs/2012.01231v1
https://arxiv.org/pdf/2012.01231v1.pdf
https://github.com/sebasgverde/mono-midi-transposition-dataset
false
false
true
none
https://paperswithcode.com/paper/a-framework-to-compare-music-generative
A framework to compare music generative models using automatic evaluation metrics extended to rhythm
2101.07669
https://arxiv.org/abs/2101.07669v1
https://arxiv.org/pdf/2101.07669v1.pdf
https://github.com/sebasgverde/mono-midi-transposition-dataset
false
false
true
none
https://paperswithcode.com/paper/190503302
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets
1905.03302
https://arxiv.org/abs/1905.03302v2
https://arxiv.org/pdf/1905.03302v2.pdf
https://github.com/kpriyadarshini/perceptNet
false
false
true
pytorch