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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/weightedshap-analyzing-and-improving-shapley
WeightedSHAP: analyzing and improving Shapley based feature attributions
2209.13429
https://arxiv.org/abs/2209.13429v1
https://arxiv.org/pdf/2209.13429v1.pdf
https://github.com/ykwon0407/weightedshap
true
true
true
pytorch
https://paperswithcode.com/paper/domain-generalization-in-robust-invariant
Domain Generalization In Robust Invariant Representation
2304.03431
https://arxiv.org/abs/2304.03431v2
https://arxiv.org/pdf/2304.03431v2.pdf
https://github.com/GauriGupta19/Domain-Generalisation-in-Invariance
true
true
false
pytorch
https://paperswithcode.com/paper/generating-persona-consistent-dialogues-by
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
1911.05889
https://arxiv.org/abs/1911.05889v4
https://arxiv.org/pdf/1911.05889v4.pdf
https://github.com/songhaoyu/RCDG
true
false
false
pytorch
https://paperswithcode.com/paper/a-delphes-card-for-the-eic-yellow-report
A Delphes card for the EIC yellow-report detector
2103.06886
https://arxiv.org/abs/2103.06886v1
https://arxiv.org/pdf/2103.06886v1.pdf
https://zenodo.org/record/4592887
true
false
false
none
https://paperswithcode.com/paper/defakehop-a-light-weight-high-performance
DefakeHop: A Light-Weight High-Performance Deepfake Detector
2103.06929
https://arxiv.org/abs/2103.06929v1
https://arxiv.org/pdf/2103.06929v1.pdf
https://github.com/hongshuochen/DefakeHop
true
false
true
none
https://paperswithcode.com/paper/self-supervised-learning-from-contrastive
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
2011.03426
https://arxiv.org/abs/2011.03426v2
https://arxiv.org/pdf/2011.03426v2.pdf
https://github.com/IU-SAIGE/contrastive_mixtures
true
false
false
pytorch
https://paperswithcode.com/paper/modular-interactive-video-object-segmentation
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
2103.07941
https://arxiv.org/abs/2103.07941v3
https://arxiv.org/pdf/2103.07941v3.pdf
https://github.com/hkchengrex/Mask-Propagation
false
false
true
pytorch
https://paperswithcode.com/paper/fast-is-better-than-free-revisiting-1
Fast is better than free: Revisiting adversarial training
2001.03994
https://arxiv.org/abs/2001.03994v1
https://arxiv.org/pdf/2001.03994v1.pdf
https://github.com/juliagusak/neural-ode-metasolver
false
false
true
pytorch
https://paperswithcode.com/paper/video-object-segmentation-using-space-time
Video Object Segmentation using Space-Time Memory Networks
1904.00607
https://arxiv.org/abs/1904.00607v2
https://arxiv.org/pdf/1904.00607v2.pdf
https://github.com/hkchengrex/Mask-Propagation
false
false
true
pytorch
https://paperswithcode.com/paper/batch-renormalization-towards-reducing
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
1702.03275
http://arxiv.org/abs/1702.03275v2
http://arxiv.org/pdf/1702.03275v2.pdf
https://github.com/eigenfoo/batch-renorm
false
false
true
tf
https://paperswithcode.com/paper/kernelized-memory-network-for-video-object
Kernelized Memory Network for Video Object Segmentation
2007.08270
https://arxiv.org/abs/2007.08270v1
https://arxiv.org/pdf/2007.08270v1.pdf
https://github.com/hkchengrex/Mask-Propagation
false
false
true
pytorch
https://paperswithcode.com/paper/dynamicppl-stan-like-speed-for-dynamic
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
2002.02702
https://arxiv.org/abs/2002.02702v1
https://arxiv.org/pdf/2002.02702v1.pdf
https://github.com/storopoli/Bayesian-Julia
false
false
true
none
https://paperswithcode.com/paper/neural-additive-models-interpretable-machine
Neural Additive Models: Interpretable Machine Learning with Neural Nets
2004.13912
https://arxiv.org/abs/2004.13912v2
https://arxiv.org/pdf/2004.13912v2.pdf
https://github.com/kherud/neural-additive-models-pt
false
false
true
pytorch
https://paperswithcode.com/paper/two-directional-simultaneous-inference-for
Two-directional simultaneous inference for high-dimensional models
2012.11100
https://arxiv.org/abs/2012.11100v4
https://arxiv.org/pdf/2012.11100v4.pdf
https://github.com/LinhzLab/TOSI
true
true
false
none
https://paperswithcode.com/paper/181209970
Synthetic Difference in Differences
1812.09970
https://arxiv.org/abs/1812.09970v4
https://arxiv.org/pdf/1812.09970v4.pdf
https://github.com/synth-inference/synthdid
true
true
true
none
https://paperswithcode.com/paper/adaptive-gradient-balancing-for
Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation
2104.01889
https://arxiv.org/abs/2104.01889v1
https://arxiv.org/pdf/2104.01889v1.pdf
https://github.com/ItzikMalkiel/AGB
true
true
false
tf
https://paperswithcode.com/paper/universal-evolutionary-model-for-periodical
Universal evolutionary model for periodical species
2010.00940
https://arxiv.org/abs/2010.00940v2
https://arxiv.org/pdf/2010.00940v2.pdf
https://github.com/ivanslapnicar/EvolutionaryModel.jl
true
true
true
none
https://paperswithcode.com/paper/improve-query-focused-abstractive
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
2105.12969
https://arxiv.org/abs/2105.12969v2
https://arxiv.org/pdf/2105.12969v2.pdf
https://github.com/HLTCHKUST/QFS
true
true
false
pytorch
https://paperswithcode.com/paper/adaptive-mask-sampling-and-manifold-to
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification
null
https://ieeexplore.ieee.org/abstract/document/10097620
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10097620&tag=1
https://github.com/lms-07/AMS-M2ESL
true
true
false
pytorch
https://paperswithcode.com/paper/geniepath-graph-neural-networks-with-adaptive
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
1802.00910
http://arxiv.org/abs/1802.00910v3
http://arxiv.org/pdf/1802.00910v3.pdf
https://github.com/dmlc/dgl/tree/master/examples/pytorch/geniepath
false
false
false
pytorch
https://paperswithcode.com/paper/a-bop-and-beyond-a-second-order-optimizer-for
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
2104.05124
https://arxiv.org/abs/2104.05124v1
https://arxiv.org/pdf/2104.05124v1.pdf
https://github.com/CuauSuarez/Bop2ndOrder
true
false
true
tf
https://paperswithcode.com/paper/continuous-galerkin-schemes-for-semi-explicit
Continuous Galerkin Schemes for Semi-Explicit Differential-Algebraic Equations
2011.09336
https://arxiv.org/abs/2011.09336v2
https://arxiv.org/pdf/2011.09336v2.pdf
https://github.com/rolandherzog/cg-schemes-for-daes
true
true
true
none
https://paperswithcode.com/paper/pthash-revisiting-fch-minimal-perfect-hashing
PTHash: Revisiting FCH Minimal Perfect Hashing
2104.10402
https://arxiv.org/abs/2104.10402v2
https://arxiv.org/pdf/2104.10402v2.pdf
https://github.com/jermp/pthash
true
true
true
none
https://paperswithcode.com/paper/fibro-cosanet-pulmonary-fibrosis-prognosis
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network
2104.05889
https://arxiv.org/abs/2104.05889v1
https://arxiv.org/pdf/2104.05889v1.pdf
https://github.com/zabir-nabil/Fibro-CoSANet
true
true
true
pytorch
https://paperswithcode.com/paper/from-partners-to-populations-a-hierarchical
From partners to populations: A hierarchical Bayesian account of coordination and convention
2104.05857
https://arxiv.org/abs/2104.05857v3
https://arxiv.org/pdf/2104.05857v3.pdf
https://github.com/hawkrobe/conventions_model
true
true
false
none
https://paperswithcode.com/paper/enet-a-deep-neural-network-architecture-for
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
1606.02147
http://arxiv.org/abs/1606.02147v1
http://arxiv.org/pdf/1606.02147v1.pdf
https://github.com/MindSpore-MS-Code2/code0/tree/main/E-NET
false
false
false
mindspore
https://paperswithcode.com/paper/fantastic-data-and-how-to-query-them
Fantastic Data and How to Query Them
2201.05026
https://arxiv.org/abs/2201.05026v1
https://arxiv.org/pdf/2201.05026v1.pdf
https://github.com/cqels/vision
true
false
false
pytorch
https://paperswithcode.com/paper/cascade-dynamics-modeling-with-attention
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
null
https://www.ijcai.org/Proceedings/2017/0416.pdf
https://www.ijcai.org/Proceedings/2017/0416.pdf
https://github.com/Allen517/cyanrnn_project
false
false
false
none
https://paperswithcode.com/paper/goo-a-dataset-for-gaze-object-prediction-in
GOO: A Dataset for Gaze Object Prediction in Retail Environments
2105.10793
https://arxiv.org/abs/2105.10793v2
https://arxiv.org/pdf/2105.10793v2.pdf
https://github.com/upeee/GOO-GAZE2021
true
true
true
pytorch
https://paperswithcode.com/paper/crossasr-a-modular-differential-testing
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition
2105.14881
https://arxiv.org/abs/2105.14881v2
https://arxiv.org/pdf/2105.14881v2.pdf
https://github.com/soarsmu/CrossASRplus
true
true
false
paddle
https://paperswithcode.com/paper/an-iterative-jacobi-like-algorithm-to-compute
An iterative Jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs
2105.14642
https://arxiv.org/abs/2105.14642v2
https://arxiv.org/pdf/2105.14642v2.pdf
https://github.com/cristian-rusu-research/JACOBI-PCA
true
true
false
none
https://paperswithcode.com/paper/robust-bayesian-nonparametric-variable
Robust Bayesian Nonparametric Variable Selection for Linear Regression
2105.11022
https://arxiv.org/abs/2105.11022v2
https://arxiv.org/pdf/2105.11022v2.pdf
https://github.com/albcab/RobustVariableSelection
true
true
false
none
https://paperswithcode.com/paper/dexycb-a-benchmark-for-capturing-hand
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
2104.04631
https://arxiv.org/abs/2104.04631v1
https://arxiv.org/pdf/2104.04631v1.pdf
https://github.com/NVlabs/dex-ycb-toolkit
true
false
true
pytorch
https://paperswithcode.com/paper/emcee-the-mcmc-hammer
emcee: The MCMC Hammer
1202.3665
http://arxiv.org/abs/1202.3665v4
http://arxiv.org/pdf/1202.3665v4.pdf
https://gitlab.com/Noxbru/Katu
false
false
true
none
https://paperswithcode.com/paper/learning-fuzzy-clustering-for-spect-ct
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
2104.08623
https://arxiv.org/abs/2104.08623v3
https://arxiv.org/pdf/2104.08623v3.pdf
https://github.com/junyuchen245/Semi-supervised_FCM_Loss_for_Segmentation
true
false
true
pytorch
https://paperswithcode.com/paper/writing-in-the-air-unconstrained-text
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
2104.09021
https://arxiv.org/abs/2104.09021v1
https://arxiv.org/pdf/2104.09021v1.pdf
https://github.com/Uehwan/WiTA
true
true
false
pytorch
https://paperswithcode.com/paper/fashion-guided-adversarial-attack-on-person
Fashion-Guided Adversarial Attack on Person Segmentation
2104.08422
https://arxiv.org/abs/2104.08422v2
https://arxiv.org/pdf/2104.08422v2.pdf
https://github.com/nii-yamagishilab/fashion_adv
true
true
false
pytorch
https://paperswithcode.com/paper/swin-transformer-hierarchical-vision
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2103.14030
https://arxiv.org/abs/2103.14030v2
https://arxiv.org/pdf/2103.14030v2.pdf
https://github.com/shinya7y/UniverseNet
false
false
false
pytorch
https://paperswithcode.com/paper/generalized-focal-loss-v2-learning-reliable
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
2011.12885
https://arxiv.org/abs/2011.12885v1
https://arxiv.org/pdf/2011.12885v1.pdf
https://github.com/shinya7y/UniverseNet
false
false
false
pytorch
https://paperswithcode.com/paper/scale-equalizing-pyramid-convolution-for
Scale-Equalizing Pyramid Convolution for Object Detection
2005.03101
https://arxiv.org/abs/2005.03101v1
https://arxiv.org/pdf/2005.03101v1.pdf
https://github.com/shinya7y/UniverseNet
false
false
false
pytorch
https://paperswithcode.com/paper/the-simpson-s-paradox-in-the-offline
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems
2104.08912
https://arxiv.org/abs/2104.08912v1
https://arxiv.org/pdf/2104.08912v1.pdf
https://github.com/terrierteam/stratified_recsys_eval
true
true
false
none
https://paperswithcode.com/paper/structure-aware-abstractive-conversation
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
2104.08400
https://arxiv.org/abs/2104.08400v1
https://arxiv.org/pdf/2104.08400v1.pdf
https://github.com/GT-SALT/Structure-Aware-BART
true
true
false
pytorch
https://paperswithcode.com/paper/rethinking-graph-neural-network-search-from
Rethinking Graph Neural Architecture Search from Message-passing
2103.14282
https://arxiv.org/abs/2103.14282v4
https://arxiv.org/pdf/2103.14282v4.pdf
https://github.com/phython96/GNAS-MP
true
true
true
pytorch
https://paperswithcode.com/paper/some-methods-for-heterogeneous-treatment
Some methods for heterogeneous treatment effect estimation in high-dimensions
1707.00102
http://arxiv.org/abs/1707.00102v1
http://arxiv.org/pdf/1707.00102v1.pdf
https://github.com/saberpowers/causalLearning
false
false
true
none
https://paperswithcode.com/paper/aeon-a-method-for-automatic-evaluation-of-nlp
AEON: A Method for Automatic Evaluation of NLP Test Cases
2205.06439
https://arxiv.org/abs/2205.06439v1
https://arxiv.org/pdf/2205.06439v1.pdf
https://github.com/CUHK-ARISE/AEON
true
true
true
none
https://paperswithcode.com/paper/attentive-fashion-grammar-network-for-fashion
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification
null
http://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Attentive_Fashion_Grammar_CVPR_2018_paper.html
http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Attentive_Fashion_Grammar_CVPR_2018_paper.pdf
https://github.com/zuoxiang95/BCRNN
false
false
false
tf
https://paperswithcode.com/paper/a-structure-aware-relation-network-for
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
2104.10326
https://arxiv.org/abs/2104.10326v1
https://arxiv.org/pdf/2104.10326v1.pdf
https://github.com/Deepwise-AILab/ChestX-Det-Dataset
true
true
false
pytorch
https://paperswithcode.com/paper/contour-proposal-networks-for-biomedical
Contour Proposal Networks for Biomedical Instance Segmentation
2104.03393
https://arxiv.org/abs/2104.03393v1
https://arxiv.org/pdf/2104.03393v1.pdf
https://github.com/FZJ-INM1-BDA/celldetection
true
false
true
pytorch
https://paperswithcode.com/paper/relationnet-bridging-visual-representations
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
2010.15831
https://arxiv.org/abs/2010.15831v1
https://arxiv.org/pdf/2010.15831v1.pdf
https://github.com/shinya7y/UniverseNet
false
false
false
pytorch
https://paperswithcode.com/paper/short-term-anchor-linking-and-long-term-self
Short-term anchor linking and long-term self-guided attention for video object detection
null
https://www.sciencedirect.com/science/article/abs/pii/S0262885621000846
https://www.sciencedirect.com/science/article/abs/pii/S0262885621000846
https://github.com/daniel-cores/SLTnet
false
true
false
pytorch
https://paperswithcode.com/paper/device-for-ecg-prediction-based-on-retinal
Device for ECG prediction based on retinal vasculature analysis
2009.11099
http://arxiv.org/abs/2009.11099v1
http://arxiv.org/pdf/2009.11099v1.pdf
https://github.com/pranjalrai-iitd/Retinal-vessel-segmentation-and-vessel-diameter-estimation
true
false
true
none
https://paperswithcode.com/paper/trivializations-for-gradient-based
Trivializations for Gradient-Based Optimization on Manifolds
1909.09501
https://arxiv.org/abs/1909.09501v2
https://arxiv.org/pdf/1909.09501v2.pdf
https://github.com/toshas/torch-householder
false
false
true
pytorch
https://paperswithcode.com/paper/stylized-neural-painting
Stylized Neural Painting
2011.08114
https://arxiv.org/abs/2011.08114v1
https://arxiv.org/pdf/2011.08114v1.pdf
https://github.com/r00tsyst3m/snp
false
false
true
pytorch
https://paperswithcode.com/paper/the-packing-chromatic-number-of-the-infinite-1
The Packing Chromatic Number of the Infinite Square Grid is 15
2301.09757
https://arxiv.org/abs/2301.09757v2
https://arxiv.org/pdf/2301.09757v2.pdf
https://github.com/bsubercaseaux/PackingChromaticTacas
true
false
false
none
https://paperswithcode.com/paper/unveiling-the-potential-of-graph-neural
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN
1901.08113
http://arxiv.org/abs/1901.08113v1
http://arxiv.org/pdf/1901.08113v1.pdf
https://github.com/itu-ai-ml-in-5g-challenge/ps-014.2-gnn-challenge-gradient-ascent
false
false
true
tf
https://paperswithcode.com/paper/fast-lio2-fast-direct-lidar-inertial-odometry
FAST-LIO2: Fast Direct LiDAR-inertial Odometry
2107.06829
https://arxiv.org/abs/2107.06829v1
https://arxiv.org/pdf/2107.06829v1.pdf
https://github.com/hku-mars/FAST_LIO
true
true
false
none
https://paperswithcode.com/paper/improving-the-filtering-of-branch-and-bound
Improving the filtering of Branch-And-Bound MDD solver (extended)
2104.11951
https://arxiv.org/abs/2104.11951v1
https://arxiv.org/pdf/2104.11951v1.pdf
https://github.com/xgillard/ddo
true
true
false
none
https://paperswithcode.com/paper/lidar-and-camera-self-calibration-using
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network
2012.13901
https://arxiv.org/abs/2012.13901v2
https://arxiv.org/pdf/2012.13901v2.pdf
https://github.com/LvXudong-HIT/LCCNet
true
true
false
pytorch
https://paperswithcode.com/paper/deep-label-distribution-learning-with-label
Deep Label Distribution Learning with Label Ambiguity
1611.01731
http://arxiv.org/abs/1611.01731v2
http://arxiv.org/pdf/1611.01731v2.pdf
https://github.com/gaobb/DLDL
true
false
false
none
https://paperswithcode.com/paper/nonlinear-sufficient-dimension-reduction-for
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
2207.04613
https://arxiv.org/abs/2207.04613v2
https://arxiv.org/pdf/2207.04613v2.pdf
https://github.com/bideliunian/sdr4d2dreg
true
true
false
none
https://paperswithcode.com/paper/fine-grained-post-training-for-improving
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems
null
https://aclanthology.org/2021.naacl-main.122
https://aclanthology.org/2021.naacl-main.122.pdf
https://github.com/hanjanghoon/BERT_FP
false
true
false
pytorch
https://paperswithcode.com/paper/hough2map-iterative-event-based-hough
Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping
2102.08145
https://arxiv.org/abs/2102.08145v2
https://arxiv.org/pdf/2102.08145v2.pdf
https://github.com/ethz-asl/Hough2Map
true
true
true
none
https://paperswithcode.com/paper/icecap-information-concentrated-entity-aware
ICECAP: Information Concentrated Entity-aware Image Captioning
2108.02050
https://arxiv.org/abs/2108.02050v1
https://arxiv.org/pdf/2108.02050v1.pdf
https://github.com/HAWLYQ/ICECAP
true
true
false
pytorch
https://paperswithcode.com/paper/graph-random-neural-network
Graph Random Neural Network for Semi-Supervised Learning on Graphs
2005.11079
https://arxiv.org/abs/2005.11079v4
https://arxiv.org/pdf/2005.11079v4.pdf
https://github.com/junzhuang-code/graphss
false
false
true
pytorch
https://paperswithcode.com/paper/bnn-bn-training-binary-neural-networks
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
2104.08215
https://arxiv.org/abs/2104.08215v1
https://arxiv.org/pdf/2104.08215v1.pdf
https://github.com/VITA-Group/BNN_NoBN
true
true
true
pytorch
https://paperswithcode.com/paper/unsupervised-pixel-level-domain-adaptation
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
1612.05424
http://arxiv.org/abs/1612.05424v2
http://arxiv.org/pdf/1612.05424v2.pdf
https://github.com/francescodisalvo05/66DaysOfData
false
false
true
pytorch
https://paperswithcode.com/paper/semantically-adversarial-learnable-filters
Semantically Adversarial Learnable Filters
2008.06069
https://arxiv.org/abs/2008.06069v3
https://arxiv.org/pdf/2008.06069v3.pdf
https://github.com/AliShahin/FilterFool
true
false
true
pytorch
https://paperswithcode.com/paper/quasi-recurrent-neural-networks
Quasi-Recurrent Neural Networks
1611.01576
http://arxiv.org/abs/1611.01576v2
http://arxiv.org/pdf/1611.01576v2.pdf
https://github.com/francescodisalvo05/66DaysOfData
false
false
true
pytorch
https://paperswithcode.com/paper/sequence-to-sequence-learning-with-neural
Sequence to Sequence Learning with Neural Networks
1409.3215
http://arxiv.org/abs/1409.3215v3
http://arxiv.org/pdf/1409.3215v3.pdf
https://github.com/francescodisalvo05/66DaysOfData
false
false
true
pytorch
https://paperswithcode.com/paper/a-neural-algorithm-of-artistic-style
A Neural Algorithm of Artistic Style
1508.06576
http://arxiv.org/abs/1508.06576v2
http://arxiv.org/pdf/1508.06576v2.pdf
https://github.com/francescodisalvo05/66DaysOfData
false
false
true
pytorch
https://paperswithcode.com/paper/learning-adaptive-propagation-for-knowledge
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
2205.15319
https://arxiv.org/abs/2205.15319v2
https://arxiv.org/pdf/2205.15319v2.pdf
https://github.com/tmlr-group/one-shot-subgraph
false
false
true
pytorch
https://paperswithcode.com/paper/the-cosmic-neutrino-background-as-a
The cosmic neutrino background as a collection of fluids in large-scale structure simulations
2011.12503
https://arxiv.org/abs/2011.12503v2
https://arxiv.org/pdf/2011.12503v2.pdf
https://github.com/joechenunsw/gadget4-hybrid_public
false
false
true
none
https://paperswithcode.com/paper/one-line-to-run-them-all-supereasy-massive
One line to run them all: SuperEasy massive neutrino linear response in $N$-body simulations
2011.12504
https://arxiv.org/abs/2011.12504v2
https://arxiv.org/pdf/2011.12504v2.pdf
https://github.com/joechenunsw/gadget4-hybrid_public
false
false
true
none
https://paperswithcode.com/paper/adavqa-overcoming-language-priors-with
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
2105.01993
https://arxiv.org/abs/2105.01993v1
https://arxiv.org/pdf/2105.01993v1.pdf
https://github.com/guoyang9/AdaVQA
true
true
false
pytorch
https://paperswithcode.com/paper/erasor-egocentric-ratio-of-pseudo-occupancy
ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building
2103.04316
https://arxiv.org/abs/2103.04316v1
https://arxiv.org/pdf/2103.04316v1.pdf
https://github.com/LimHyungTae/ERASOR.Official
false
false
true
pytorch
https://paperswithcode.com/paper/memristor-based-cryogenic-programmable-dc
Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control
2203.07107
https://arxiv.org/abs/2203.07107v2
https://arxiv.org/pdf/2203.07107v2.pdf
https://github.com/3it-nano/qdms
true
true
false
none
https://paperswithcode.com/paper/employing-deep-part-object-relationships-for
Employing Deep Part-Object Relationships for Salient Object Detection
null
http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_Employing_Deep_Part-Object_Relationships_for_Salient_Object_Detection_ICCV_2019_paper.html
http://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_Employing_Deep_Part-Object_Relationships_for_Salient_Object_Detection_ICCV_2019_paper.pdf
https://github.com/liuyi1989/TSPORTNet
false
false
false
tf
https://paperswithcode.com/paper/end-to-end-object-detection-with-transformers
End-to-End Object Detection with Transformers
2005.12872
https://arxiv.org/abs/2005.12872v3
https://arxiv.org/pdf/2005.12872v3.pdf
https://github.com/DataXujing/TensorRT-DETR
false
false
true
pytorch
https://paperswithcode.com/paper/irls-and-slime-mold-equivalence-and
IRLS and Slime Mold: Equivalence and Convergence
1601.02712
http://arxiv.org/abs/1601.02712v1
http://arxiv.org/pdf/1601.02712v1.pdf
https://github.com/DamianStraszak/IRLS-and-Physarum-Dynamics
false
false
true
none
https://paperswithcode.com/paper/a-bfs-tree-of-ranking-references-for
A BFS-Tree of Ranking References for Unsupervised Manifold Learning
null
https://doi.org/10.1016/j.patcog.2020.107666
https://www.ic.unicamp.br/~dcarlos/papers/journals/PatternRecognition_BFSTRee_2021.pdf
https://github.com/UDLF/UDLF
false
false
false
none
https://paperswithcode.com/paper/earthnet2021-a-large-scale-dataset-and
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
2104.10066
https://arxiv.org/abs/2104.10066v1
https://arxiv.org/pdf/2104.10066v1.pdf
https://github.com/earthnet2021/earthnet-model-intercomparison-suite
true
false
false
none
https://paperswithcode.com/paper/multi-task-learning-of-speech-and-speaker
Towards multi-task learning of speech and speaker recognition
2302.12773
https://arxiv.org/abs/2302.12773v2
https://arxiv.org/pdf/2302.12773v2.pdf
https://github.com/nikvaessen/disjoint-mtl
true
true
false
pytorch
https://paperswithcode.com/paper/optical-music-recognition-with-convolutional
Optical Music Recognition with Convolutional Sequence-to-Sequence Models
1707.04877
http://arxiv.org/abs/1707.04877v1
http://arxiv.org/pdf/1707.04877v1.pdf
https://github.com/apacha/OMR-Datasets
false
false
true
none
https://paperswithcode.com/paper/deep-discriminative-direct-decoders-for-high
Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis
2205.10947
https://arxiv.org/abs/2205.10947v2
https://arxiv.org/pdf/2205.10947v2.pdf
https://gitlab.com/m.reza.rezaei72/dynamical_deep_neuron
false
false
false
tf
https://paperswithcode.com/paper/a-hitchhiker-s-guide-to-statistical
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
null
https://openreview.net/forum?id=ryx0N3IaIV
https://openreview.net/pdf?id=ryx0N3IaIV
https://github.com/ccolas/rl_stats
true
true
false
none
https://paperswithcode.com/paper/learning-to-hash-for-recommendation-a-survey
Learning to Hash for Recommendation: A Survey
2412.03875
https://arxiv.org/abs/2412.03875v1
https://arxiv.org/pdf/2412.03875v1.pdf
https://github.com/luo-fangyuan/hashrec
true
true
true
none
https://paperswithcode.com/paper/xlm-e-cross-lingual-language-model-pre
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
2106.16138
https://arxiv.org/abs/2106.16138v2
https://arxiv.org/pdf/2106.16138v2.pdf
https://github.com/CZWin32768/xnlg
false
false
true
pytorch
https://paperswithcode.com/paper/optimality-of-the-recursive-neyman-allocation
Optimality of the recursive Neyman allocation
2105.14486
https://arxiv.org/abs/2105.14486v1
https://arxiv.org/pdf/2105.14486v1.pdf
https://github.com/rwieczor/recursive_Neyman
true
true
false
none
https://paperswithcode.com/paper/vitgan-training-gans-with-vision-transformers
ViTGAN: Training GANs with Vision Transformers
2107.04589
https://arxiv.org/abs/2107.04589v2
https://arxiv.org/pdf/2107.04589v2.pdf
https://github.com/wilile26811249/ViTGAN
false
false
true
pytorch
https://paperswithcode.com/paper/a-stacked-dcnn-to-predict-the-rul-of-a
A stacked DCNN to predict the RUL of a turbofan engine
null
http://papers.phmsociety.org/index.php/phmconf/article/view/3110
http://papers.phmsociety.org/index.php/phmconf/article/download/3110/1838
https://github.com/datrikintelligence/stacked-dcnn-rul-phm21
false
true
false
tf
https://paperswithcode.com/paper/does-referent-predictability-affect-the
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution
2109.13105
https://arxiv.org/abs/2109.13105v1
https://arxiv.org/pdf/2109.13105v1.pdf
https://github.com/amore-upf/masked-coreference
true
true
true
tf
https://paperswithcode.com/paper/the-impact-of-changes-in-resolution-on-the
The Impact of Changes in Resolution on the Persistent Homology of Images
2111.05663
https://arxiv.org/abs/2111.05663v1
https://arxiv.org/pdf/2111.05663v1.pdf
https://github.com/sarahtymochko/ph-of-images
true
true
true
none
https://paperswithcode.com/paper/weight-uncertainty-in-neural-networks
Weight Uncertainty in Neural Networks
1505.05424
http://arxiv.org/abs/1505.05424v2
http://arxiv.org/pdf/1505.05424v2.pdf
https://github.com/hbahadirsahin/bayes_by_backprop
false
false
true
tf
https://paperswithcode.com/paper/how-privacy-preserving-are-line-clouds
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
2103.05086
https://arxiv.org/abs/2103.05086v1
https://arxiv.org/pdf/2103.05086v1.pdf
https://github.com/kunalchelani/Line2Point
true
true
true
none
https://paperswithcode.com/paper/cough-against-covid-evidence-of-covid-19
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
2009.08790
https://arxiv.org/abs/2009.08790v2
https://arxiv.org/pdf/2009.08790v2.pdf
https://github.com/WadhwaniAI/cough-against-covid
true
false
true
pytorch
https://paperswithcode.com/paper/shakespearizing-modern-language-using-copy-1
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
1707.01161
http://arxiv.org/abs/1707.01161v2
http://arxiv.org/pdf/1707.01161v2.pdf
https://github.com/achyutak/Project-2021
false
false
true
none
https://paperswithcode.com/paper/multi-agent-advisor-q-learning
Multi-Agent Advisor Q-Learning
2111.00345
https://arxiv.org/abs/2111.00345v6
https://arxiv.org/pdf/2111.00345v6.pdf
https://github.com/sriram94/multiagentadvisorqlearning
true
true
false
tf
https://paperswithcode.com/paper/spanner-named-entity-re-recognition-as-span
SpanNER: Named Entity Re-/Recognition as Span Prediction
2106.00641
https://arxiv.org/abs/2106.00641v2
https://arxiv.org/pdf/2106.00641v2.pdf
https://github.com/neulab/spanner
true
true
true
pytorch
https://paperswithcode.com/paper/unifying-sparsest-cut-cluster-deletion-and
Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering
1712.05825
http://arxiv.org/abs/1712.05825v3
http://arxiv.org/pdf/1712.05825v3.pdf
https://github.com/nveldt/LamCC
false
false
true
none
https://paperswithcode.com/paper/inertial-odometry-on-handheld-smartphones
Inertial Odometry on Handheld Smartphones
1703.00154
http://arxiv.org/abs/1703.00154v2
http://arxiv.org/pdf/1703.00154v2.pdf
https://github.com/dmckinnon/mapper
false
false
true
none