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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/evaluation-measures-for-hierarchical
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches
1306.6802
http://arxiv.org/abs/1306.6802v2
http://arxiv.org/pdf/1306.6802v2.pdf
https://github.com/globality-corp/sklearn-hierarchical-classification
false
false
true
none
https://paperswithcode.com/paper/computed-tomography-reconstruction-using-deep
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
2003.04989
https://arxiv.org/abs/2003.04989v2
https://arxiv.org/pdf/2003.04989v2.pdf
https://github.com/oterobaguer/dip-ct-benchmark
true
true
false
pytorch
https://paperswithcode.com/paper/reform-fast-and-adaptive-solution-for-subteam
REFORM: Fast and Adaptive Solution for Subteam Replacement
2101.11070
https://arxiv.org/abs/2101.11070v2
https://arxiv.org/pdf/2101.11070v2.pdf
https://github.com/BillyZhaohengLi/subteam_replacement_paper
true
false
true
none
https://paperswithcode.com/paper/explaining-adversarial-vulnerability-with-a
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis
2103.00778
https://arxiv.org/abs/2103.00778v3
https://arxiv.org/pdf/2103.00778v3.pdf
https://github.com/MahsaPaknezhad/AdversariallyRobustTraining
false
true
false
pytorch
https://paperswithcode.com/paper/interaction-networks-for-the-identification
Interaction networks for the identification of boosted $H\to b\overline{b}$ decays
1909.12285
https://arxiv.org/abs/1909.12285v2
https://arxiv.org/pdf/1909.12285v2.pdf
https://github.com/thongonary/HbbIN
false
false
true
tf
https://paperswithcode.com/paper/show-attend-and-tell-neural-image-caption
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
1502.03044
http://arxiv.org/abs/1502.03044v3
http://arxiv.org/pdf/1502.03044v3.pdf
https://github.com/RichardChangCA/CSI_5386_NLP_Project
false
false
true
tf
https://paperswithcode.com/paper/precise-synthetic-image-and-lidar-presil
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
1905.00160
https://arxiv.org/abs/1905.00160v2
https://arxiv.org/pdf/1905.00160v2.pdf
https://github.com/bradenhurl/GTAVisionExport-DepthExtractor
false
false
true
none
https://paperswithcode.com/paper/graph-neural-networks-for-social
Graph Neural Networks for Social Recommendation
1902.07243
https://arxiv.org/abs/1902.07243v2
https://arxiv.org/pdf/1902.07243v2.pdf
https://github.com/Wang-Shuo/GraphRec_PyTorch
false
false
true
pytorch
https://paperswithcode.com/paper/deepar-probabilistic-forecasting-with
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
1704.04110
http://arxiv.org/abs/1704.04110v3
http://arxiv.org/pdf/1704.04110v3.pdf
https://github.com/ucl-exoplanets/deepARTransit
false
false
true
tf
https://paperswithcode.com/paper/skep-sentiment-knowledge-enhanced-pre
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
2005.05635
https://arxiv.org/abs/2005.05635v2
https://arxiv.org/pdf/2005.05635v2.pdf
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/sentiment_analysis/skep
false
false
false
paddle
https://paperswithcode.com/paper/faster-boosting-with-smaller-memory
Faster Boosting with Smaller Memory
1901.09047
https://arxiv.org/abs/1901.09047v3
https://arxiv.org/pdf/1901.09047v3.pdf
https://github.com/arapat/sparrow
true
true
true
none
https://paperswithcode.com/paper/dancing-links
Dancing links
cs/0011047
https://arxiv.org/abs/cs/0011047v1
https://arxiv.org/pdf/cs/0011047v1.pdf
https://github.com/farhiongit/dancing-links
false
false
true
none
https://paperswithcode.com/paper/a-simple-yet-effective-baseline-for-non
A simple yet effective baseline for non-attributed graph classification
1811.03508
https://arxiv.org/abs/1811.03508v3
https://arxiv.org/pdf/1811.03508v3.pdf
https://github.com/Chen-Cai-OSU/LDP
true
true
true
none
https://paperswithcode.com/paper/style-transfer-in-text-exploration-and
Style Transfer in Text: Exploration and Evaluation
1711.06861
http://arxiv.org/abs/1711.06861v2
http://arxiv.org/pdf/1711.06861v2.pdf
https://github.com/rj-IIITH18/style_transfer_in_text
false
false
true
none
https://paperswithcode.com/paper/why-so-down-the-role-of-negative-and-positive
Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
1908.06941
https://arxiv.org/abs/1908.06941v1
https://arxiv.org/pdf/1908.06941v1.pdf
https://github.com/alexandres/lexvec
true
true
true
none
https://paperswithcode.com/paper/russian-natural-language-generation-creation
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures
2005.02470
https://arxiv.org/abs/2005.02470v1
https://arxiv.org/pdf/2005.02470v1.pdf
https://github.com/zeinsh/lenta_short_sentences
true
true
false
none
https://paperswithcode.com/paper/efficient-neighbourhood-consensus-networks
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
2004.10566
https://arxiv.org/abs/2004.10566v1
https://arxiv.org/pdf/2004.10566v1.pdf
https://github.com/ignacio-rocco/sparse-ncnet
false
false
true
pytorch
https://paperswithcode.com/paper/butterfly-transform-an-efficient-fft-based
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
1906.02256
https://arxiv.org/abs/1906.02256v2
https://arxiv.org/pdf/1906.02256v2.pdf
https://github.com/keivanalizadeh/ButterflyTransform
false
false
true
pytorch
https://paperswithcode.com/paper/neural-architectures-for-named-entity
Neural Architectures for Named Entity Recognition
1603.01360
http://arxiv.org/abs/1603.01360v3
http://arxiv.org/pdf/1603.01360v3.pdf
https://github.com/deepmipt/ner
false
false
true
tf
https://paperswithcode.com/paper/global-health-science-leverages-established
Global health science leverages established collaboration network to fight COVID-19
2102.00298
https://arxiv.org/abs/2102.00298v1
https://arxiv.org/pdf/2102.00298v1.pdf
https://github.com/P-Pelletier/Global-health-sciences-response-to-COVID-19
true
true
false
none
https://paperswithcode.com/paper/objects-as-points
Objects as Points
1904.07850
http://arxiv.org/abs/1904.07850v2
http://arxiv.org/pdf/1904.07850v2.pdf
https://github.com/voidrank/SaccadeNet
false
false
true
pytorch
https://paperswithcode.com/paper/deep-reinforcement-learning-for-turbulent
Deep reinforcement learning for turbulent drag reduction in channel flows
2301.09889
https://arxiv.org/abs/2301.09889v3
https://arxiv.org/pdf/2301.09889v3.pdf
https://github.com/kth-flowai/marl-drag-reduction-in-wall-bounded-flows
true
true
true
none
https://paperswithcode.com/paper/mind-the-gap-a-balanced-corpus-of-gendered
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
1810.05201
http://arxiv.org/abs/1810.05201v1
http://arxiv.org/pdf/1810.05201v1.pdf
https://github.com/vid-koci/weightingGAP
false
false
true
none
https://paperswithcode.com/paper/asynchronous-methods-for-deep-reinforcement
Asynchronous Methods for Deep Reinforcement Learning
1602.01783
http://arxiv.org/abs/1602.01783v2
http://arxiv.org/pdf/1602.01783v2.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/proximal-policy-optimization-algorithms
Proximal Policy Optimization Algorithms
1707.06347
http://arxiv.org/abs/1707.06347v2
http://arxiv.org/pdf/1707.06347v2.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/soft-actor-critic-off-policy-maximum-entropy
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
1801.01290
http://arxiv.org/abs/1801.01290v2
http://arxiv.org/pdf/1801.01290v2.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/soft-actor-critic-algorithms-and-applications
Soft Actor-Critic Algorithms and Applications
1812.05905
http://arxiv.org/abs/1812.05905v2
http://arxiv.org/pdf/1812.05905v2.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/semantic-correspondence-via-2d-3d-2d-cycle
Semantic Correspondence via 2D-3D-2D Cycle
2004.09061
https://arxiv.org/abs/2004.09061v2
https://arxiv.org/pdf/2004.09061v2.pdf
https://github.com/qq456cvb/SemanticTransfer
true
true
true
pytorch
https://paperswithcode.com/paper/graph-structured-referring-expression
Graph-Structured Referring Expression Reasoning in The Wild
2004.08814
https://arxiv.org/abs/2004.08814v1
https://arxiv.org/pdf/2004.08814v1.pdf
https://github.com/sibeiyang/sgmn
true
true
false
pytorch
https://paperswithcode.com/paper/going-deeper-with-convolutions
Going Deeper with Convolutions
1409.4842
http://arxiv.org/abs/1409.4842v1
http://arxiv.org/pdf/1409.4842v1.pdf
https://github.com/kaseris/ILSVRCPlus
false
false
true
none
https://paperswithcode.com/paper/deep-residual-learning-for-image-recognition
Deep Residual Learning for Image Recognition
1512.03385
http://arxiv.org/abs/1512.03385v1
http://arxiv.org/pdf/1512.03385v1.pdf
https://github.com/kaseris/ILSVRCPlus
false
false
true
none
https://paperswithcode.com/paper/very-deep-convolutional-networks-for-large
Very Deep Convolutional Networks for Large-Scale Image Recognition
1409.1556
http://arxiv.org/abs/1409.1556v6
http://arxiv.org/pdf/1409.1556v6.pdf
https://github.com/kaseris/ILSVRCPlus
false
false
true
none
https://paperswithcode.com/paper/learning-to-interpret-satellite-images-in
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
1905.02506
https://arxiv.org/abs/1905.02506v3
https://arxiv.org/pdf/1905.02506v3.pdf
https://github.com/buzkent86/WikiSatNet
false
false
true
pytorch
https://paperswithcode.com/paper/adaptive-graph-convolutional-network-with
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
2003.06167
https://arxiv.org/abs/2003.06167v1
https://arxiv.org/pdf/2003.06167v1.pdf
https://github.com/ltp1995/GCAGC-CVPR2020
false
false
false
none
https://paperswithcode.com/paper/cross-lingual-alignment-of-contextual-word
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
1902.09492
http://arxiv.org/abs/1902.09492v2
http://arxiv.org/pdf/1902.09492v2.pdf
https://github.com/TalSchuster/CrossLingualELMo
true
true
true
pytorch
https://paperswithcode.com/paper/identity-mappings-in-deep-residual-networks
Identity Mappings in Deep Residual Networks
1603.05027
http://arxiv.org/abs/1603.05027v3
http://arxiv.org/pdf/1603.05027v3.pdf
https://github.com/kaseris/ILSVRCPlus
false
false
true
none
https://paperswithcode.com/paper/character-level-convolutional-networks-for
Character-level Convolutional Networks for Text Classification
1509.01626
http://arxiv.org/abs/1509.01626v3
http://arxiv.org/pdf/1509.01626v3.pdf
https://github.com/paper-cat/Sentence-Classifications
false
false
true
tf
https://paperswithcode.com/paper/a-unified-non-negative-matrix-factorization
A Unified Non-Negative Matrix Factorization Framework for Semi-Supervised Learning on Graphs
null
https://epubs.siam.org/doi/10.1137/1.9781611976236.55
https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.55
https://github.com/sonaidgr8/USS_NMF
false
true
false
none
https://paperswithcode.com/paper/shock-identification-and-classification-in-2d
Shock identification and classification in 2D MHD compressible turbulence -- Orszag-Tang vortex
2111.02242
https://arxiv.org/abs/2111.02242v1
https://arxiv.org/pdf/2111.02242v1.pdf
https://github.com/AstroSnow/PIP
true
true
false
none
https://paperswithcode.com/paper/integrated-hardware-architecture-and-device
Integrated Hardware Architecture and Device Placement Search
2407.13143
https://arxiv.org/abs/2407.13143v1
https://arxiv.org/pdf/2407.13143v1.pdf
https://github.com/msr-fiddle/phaze
true
true
false
pytorch
https://paperswithcode.com/paper/learning-confidence-for-transformer-based
Learning Confidence for Transformer-based Neural Machine Translation
2203.11413
https://arxiv.org/abs/2203.11413v1
https://arxiv.org/pdf/2203.11413v1.pdf
https://github.com/yulu-dada/learned-conf-nmt
true
true
false
pytorch
https://paperswithcode.com/paper/n-beats-neural-basis-expansion-analysis-for
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
1905.10437
https://arxiv.org/abs/1905.10437v4
https://arxiv.org/pdf/1905.10437v4.pdf
https://github.com/Y9008/NBEATS
false
false
true
pytorch
https://paperswithcode.com/paper/prioritized-experience-replay
Prioritized Experience Replay
1511.05952
http://arxiv.org/abs/1511.05952v4
http://arxiv.org/pdf/1511.05952v4.pdf
https://github.com/Brandon-Rozek/DeepRL
false
false
true
none
https://paperswithcode.com/paper/named-entities-troubling-your-neural-methods
NE-Table: A Neural key-value table for Named Entities
1804.09540
https://arxiv.org/abs/1804.09540v2
https://arxiv.org/pdf/1804.09540v2.pdf
https://github.com/IBM/ne-table-datasets
true
true
true
none
https://paperswithcode.com/paper/deep-learning-with-4d-spatio-temporal-data
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2005.10033
https://arxiv.org/abs/2005.10033v1
https://arxiv.org/pdf/2005.10033v1.pdf
https://github.com/ngessert/4d_deep_learning
true
true
true
tf
https://paperswithcode.com/paper/a-study-of-performance-of-optimal-transport
A Study of Performance of Optimal Transport
2005.01182
https://arxiv.org/abs/2005.01182v1
https://arxiv.org/pdf/2005.01182v1.pdf
https://github.com/twistedcubic/fast_ot
true
true
true
none
https://paperswithcode.com/paper/pixel-deconvolutional-networks
Pixel Deconvolutional Networks
1705.06820
http://arxiv.org/abs/1705.06820v4
http://arxiv.org/pdf/1705.06820v4.pdf
https://github.com/zhengyang-wang/Unet_3D
false
false
true
tf
https://paperswithcode.com/paper/detecting-anomalies-in-image-classification
Detecting Anomalies in Image Classification by Means of Semantic Relationships
null
https://iris.polito.it/retrieve/handle/11583/2749672/268557/SAD_AIKE_2019_camera_ready.pdf
https://iris.polito.it/retrieve/handle/11583/2749672/268557/SAD_AIKE_2019_camera_ready.pdf
https://github.com/AndreaPasini/SAD2019
false
true
false
none
https://paperswithcode.com/paper/learning-to-detect-rfi-in-radio-astronomy
Learning to detect RFI in radio astronomy without seeing it
2207.00351
https://arxiv.org/abs/2207.00351v2
https://arxiv.org/pdf/2207.00351v2.pdf
https://github.com/mesarcik/rfi-nln
true
true
true
tf
https://paperswithcode.com/paper/slide-in-defense-of-smart-algorithms-over
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
1903.03129
https://arxiv.org/abs/1903.03129v2
https://arxiv.org/pdf/1903.03129v2.pdf
https://github.com/keroro824/HashingDeepLearning
true
true
true
tf
https://paperswithcode.com/paper/on-the-delta-method-for-uncertainty
Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method
1912.00832
https://arxiv.org/abs/1912.00832v2
https://arxiv.org/pdf/1912.00832v2.pdf
https://github.com/gknilsen/pydeepdelta
true
true
true
tf
https://paperswithcode.com/paper/videobert-a-joint-model-for-video-and
VideoBERT: A Joint Model for Video and Language Representation Learning
1904.01766
https://arxiv.org/abs/1904.01766v2
https://arxiv.org/pdf/1904.01766v2.pdf
https://github.com/MDSKUL/MasterProject
false
false
true
pytorch
https://paperswithcode.com/paper/generalized-focal-loss-learning-qualified-and
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
2006.04388
https://arxiv.org/abs/2006.04388v1
https://arxiv.org/pdf/2006.04388v1.pdf
https://github.com/implus/GFocal
true
true
true
pytorch
https://paperswithcode.com/paper/noise2self-blind-denoising-by-self
Noise2Self: Blind Denoising by Self-Supervision
1901.11365
https://arxiv.org/abs/1901.11365v2
https://arxiv.org/pdf/1901.11365v2.pdf
https://github.com/royerlab/ssi-code
false
false
true
pytorch
https://paperswithcode.com/paper/conversational-question-answering-over
Conversational Question Answering over Passages by Leveraging Word Proximity Networks
2004.13117
https://arxiv.org/abs/2004.13117v3
https://arxiv.org/pdf/2004.13117v3.pdf
https://github.com/magkai/CROWN
true
true
true
none
https://paperswithcode.com/paper/efficient-estimation-of-word-representations
Efficient Estimation of Word Representations in Vector Space
1301.3781
http://arxiv.org/abs/1301.3781v3
http://arxiv.org/pdf/1301.3781v3.pdf
https://github.com/PaddlePaddle/PaddleRec/tree/release/2.1.0/models/recall/word2vec
false
false
false
paddle
https://paperswithcode.com/paper/on-the-minimization-of-sobolev-norms-of-time
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases
2007.00336
https://arxiv.org/abs/2007.00336v1
https://arxiv.org/pdf/2007.00336v1.pdf
https://github.com/jhonygiraldo/Sobolev_COVID19
false
false
false
none
https://paperswithcode.com/paper/dynamic-routing-between-capsules
Dynamic Routing Between Capsules
1710.09829
http://arxiv.org/abs/1710.09829v2
http://arxiv.org/pdf/1710.09829v2.pdf
https://github.com/leoniloris/CapsNet
false
false
true
tf
https://paperswithcode.com/paper/fairface-face-attribute-dataset-for-balanced
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
1908.04913
https://arxiv.org/abs/1908.04913v1
https://arxiv.org/pdf/1908.04913v1.pdf
https://github.com/dchen236/FairFace
false
false
true
pytorch
https://paperswithcode.com/paper/mafid-moving-average-equipped-fusion-in
MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data
null
https://aclanthology.org/2023.findings-eacl.177/
https://aclanthology.org/2023.findings-eacl.177.pdf
https://github.com/ZIZUN/MAFiD
false
false
false
pytorch
https://paperswithcode.com/paper/show-and-tell-a-neural-image-caption
Show and Tell: A Neural Image Caption Generator
1411.4555
http://arxiv.org/abs/1411.4555v2
http://arxiv.org/pdf/1411.4555v2.pdf
https://github.com/Pillercottrer/radcap_project
false
false
true
pytorch
https://paperswithcode.com/paper/red-deep-recurrent-neural-networks-for-sleep
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
2005.07795
https://arxiv.org/abs/2005.07795v2
https://arxiv.org/pdf/2005.07795v2.pdf
https://github.com/nicolasigor/cmorlet-tensorflow
false
false
true
tf
https://paperswithcode.com/paper/robust-learning-with-jacobian-regularization
Robust Learning with Jacobian Regularization
1908.02729
https://arxiv.org/abs/1908.02729v1
https://arxiv.org/pdf/1908.02729v1.pdf
https://github.com/Fadeich/HotFlip-CNN-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/word-discriminations-for-vocabulary-inventory
Word Discriminations for Vocabulary Inventory Prediction
null
https://aclanthology.org/2021.ranlp-main.134
https://aclanthology.org/2021.ranlp-main.134.pdf
https://github.com/frankier/vocabirt
true
true
false
pytorch
https://paperswithcode.com/paper/searching-towards-class-aware-generators-for
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
2006.14208
https://arxiv.org/abs/2006.14208v2
https://arxiv.org/pdf/2006.14208v2.pdf
https://github.com/PeterouZh/NAS_cGAN
true
true
true
pytorch
https://paperswithcode.com/paper/identification-of-crystal-symmetry-from-noisy
Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning
2005.12476
https://arxiv.org/abs/2005.12476v1
https://arxiv.org/pdf/2005.12476v1.pdf
https://github.com/tiongleslie/crystal-structure-classification
true
true
true
tf
https://paperswithcode.com/paper/constant-time-predictive-distributions-for
Constant-Time Predictive Distributions for Gaussian Processes
1803.06058
http://arxiv.org/abs/1803.06058v4
http://arxiv.org/pdf/1803.06058v4.pdf
https://github.com/cornellius-gp/gpytorch/blob/master/examples/02_Scalable_Exact_GPs/Simple_GP_Regression_With_LOVE_Fast_Variances_and_Sampling.ipynb
true
false
false
pytorch
https://paperswithcode.com/paper/a-20-liter-test-stand-with-gas-purification
A 20-Liter Test Stand with Gas Purification for Liquid Argon Research
1602.01884
http://arxiv.org/abs/1602.01884v2
http://arxiv.org/pdf/1602.01884v2.pdf
https://github.com/dombarker30/LArPMT_Study
false
false
true
none
https://paperswithcode.com/paper/wav2kws-transfer-learning-from-speech
Wav2KWS: Transfer Learning from Speech Representations for Keyword Spotting
null
https://ieeexplore.ieee.org/document/9427206
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9427206
https://github.com/qute012/Wav2Keyword
false
false
false
pytorch
https://paperswithcode.com/paper/190409324
Mask-Predict: Parallel Decoding of Conditional Masked Language Models
1904.09324
https://arxiv.org/abs/1904.09324v2
https://arxiv.org/pdf/1904.09324v2.pdf
https://github.com/facebookresearch/DisCo
false
false
true
none
https://paperswithcode.com/paper/grammar-compressed-indexes-with-logarithmic
Grammar-Compressed Indexes with Logarithmic Search Time
2004.01032
https://arxiv.org/abs/2004.01032v1
https://arxiv.org/pdf/2004.01032v1.pdf
https://github.com/apachecom/grammar_improved_index
true
true
true
none
https://paperswithcode.com/paper/end-to-end-learning-for-self-driving-cars
End to End Learning for Self-Driving Cars
1604.07316
http://arxiv.org/abs/1604.07316v1
http://arxiv.org/pdf/1604.07316v1.pdf
https://github.com/heechul/picar
false
false
true
tf
https://paperswithcode.com/paper/stability-of-low-rank-tensor-representations
Stability of Low-Rank Tensor Representations and Structured Multilevel Preconditioning for Elliptic PDEs
1802.09062
http://arxiv.org/abs/1802.09062v1
http://arxiv.org/pdf/1802.09062v1.pdf
https://github.com/mbachmayr/TensorTrains.jl
false
false
true
none
https://paperswithcode.com/paper/communication-efficient-learning-of-deep
Communication-Efficient Learning of Deep Networks from Decentralized Data
1602.05629
https://arxiv.org/abs/1602.05629v4
https://arxiv.org/pdf/1602.05629v4.pdf
https://github.com/TinfoilHat0/Defending-Against-Backdoors-with-Robust-Learning-Rate
false
false
true
pytorch
https://paperswithcode.com/paper/gradient-surgery-for-multi-task-learning-1
Gradient Surgery for Multi-Task Learning
2001.06782
https://arxiv.org/abs/2001.06782v4
https://arxiv.org/pdf/2001.06782v4.pdf
https://github.com/rangwani-harsh/PC_Grad_Pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/adamm-anomaly-detection-of-attributed-multi
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
2311.07355
https://arxiv.org/abs/2311.07355v2
https://arxiv.org/pdf/2311.07355v2.pdf
https://github.com/konsotirop/adamm
true
true
false
pytorch
https://paperswithcode.com/paper/text-coherence-analysis-based-on-deep-neural
Text Coherence Analysis Based on Deep Neural Network
1710.07770
http://arxiv.org/abs/1710.07770v1
http://arxiv.org/pdf/1710.07770v1.pdf
https://github.com/geekSiddharth/DeepCoherence
false
false
true
none
https://paperswithcode.com/paper/prioritized-experience-replay
Prioritized Experience Replay
1511.05952
http://arxiv.org/abs/1511.05952v4
http://arxiv.org/pdf/1511.05952v4.pdf
https://github.com/V0LsTeR/DQN_heap
false
false
true
tf
https://paperswithcode.com/paper/sibila-high-performance-computing-and
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
2205.06234
https://arxiv.org/abs/2205.06234v2
https://arxiv.org/pdf/2205.06234v2.pdf
https://github.com/bio-hpc/sibila
true
true
false
none
https://paperswithcode.com/paper/recurrent-feature-reasoning-for-image-1
Recurrent Feature Reasoning for Image Inpainting
2008.03737
https://arxiv.org/abs/2008.03737v1
https://arxiv.org/pdf/2008.03737v1.pdf
https://github.com/jingyuanli001/RFR-Inpainting
true
true
false
pytorch
https://paperswithcode.com/paper/light-field-spatial-super-resolution-via-deep
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
2004.02215
https://arxiv.org/abs/2004.02215v1
https://arxiv.org/pdf/2004.02215v1.pdf
https://github.com/jingjin25/LFSSR-ATO
true
true
true
pytorch
https://paperswithcode.com/paper/pynsett-a-programmable-relation-extractor
Pynsett: A programmable relation extractor
2007.02100
https://arxiv.org/abs/2007.02100v2
https://arxiv.org/pdf/2007.02100v2.pdf
https://github.com/fractalego/pynsett
true
true
false
none
https://paperswithcode.com/paper/time-contrastive-networks-self-supervised
Time-Contrastive Networks: Self-Supervised Learning from Video
1704.06888
http://arxiv.org/abs/1704.06888v3
http://arxiv.org/pdf/1704.06888v3.pdf
https://github.com/tensorflow/models/tree/master/research/tcn
false
false
true
tf
https://paperswithcode.com/paper/virtualhome-simulating-household-activities
VirtualHome: Simulating Household Activities via Programs
1806.07011
http://arxiv.org/abs/1806.07011v1
http://arxiv.org/pdf/1806.07011v1.pdf
https://github.com/xavierpuigf/virtualhome
false
false
true
none
https://paperswithcode.com/paper/revisiting-representation-learning-for
Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances
2007.02780
https://arxiv.org/abs/2007.02780v2
https://arxiv.org/pdf/2007.02780v2.pdf
https://github.com/Js-Mim/rl_singing_voice
true
true
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/LaurentBerger/neuralstyle
false
false
true
none
https://paperswithcode.com/paper/end-to-end-abstractive-summarization-for
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
2004.02016
https://arxiv.org/abs/2004.02016v4
https://arxiv.org/pdf/2004.02016v4.pdf
https://github.com/JudeLee19/HMNet
false
false
true
pytorch
https://paperswithcode.com/paper/model-agnostic-meta-learning-for-fast
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
1703.03400
http://arxiv.org/abs/1703.03400v3
http://arxiv.org/pdf/1703.03400v3.pdf
https://github.com/Mind23-2/MindCode-101/tree/main/MAML
false
false
false
mindspore
https://paperswithcode.com/paper/removing-shadows-from-images-of-documents
Removing Shadows from Images of Documents
null
https://link.springer.com/chapter/10.1007/978-3-319-54187-7_12
https://link.springer.com/chapter/10.1007/978-3-319-54187-7_12
https://github.com/tigerdeeda/Removing-Shadows-from-Images-of-Documents-by-Steve-Bako
true
false
false
none
https://paperswithcode.com/paper/hahaha
Hahaha
null
https://link.springer.com/content/pdf/10.1007%2F978-3-319-99978-4_15.pdf
https://link.springer.com/content/pdf/10.1007%2F978-3-319-99978-4_10.pdf
https://github.com/biubug6/Pytorch_Retinaface
false
false
false
pytorch
https://paperswithcode.com/paper/bearing-fault-diagnosis-base-on-multi-scale
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model
null
https://link.springer.com/article/10.1007/s10845-020-01600-2
https://link.springer.com/article/10.1007/s10845-020-01600-2
https://github.com/Mind23-2/MindCode-101/tree/main/MCNN
false
false
false
mindspore
https://paperswithcode.com/paper/improving-model-choice-in-classification-an
Improving Model Choice in Classification: An Approach Based on Clustering of Covariance Matrices
2302.11487
https://arxiv.org/abs/2302.11487v2
https://arxiv.org/pdf/2302.11487v2.pdf
https://github.com/rvitores/improvingmodelchoice
true
true
false
none
https://paperswithcode.com/paper/bridge-byzantine-resilient-decentralized
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
1908.08098
https://arxiv.org/abs/1908.08098v3
https://arxiv.org/pdf/1908.08098v3.pdf
https://github.com/INSPIRE-Lab-US/Byzantine_Experiments
false
false
true
tf
https://paperswithcode.com/paper/deep-semi-supervised-knowledge-distillation
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
2007.10787
https://arxiv.org/abs/2007.10787v1
https://arxiv.org/pdf/2007.10787v1.pdf
https://github.com/SIAAAAAA/MMT-PSM
true
true
true
pytorch
https://paperswithcode.com/paper/analyzing-machine-learning-workloads-using-a
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
1811.08933
http://arxiv.org/abs/1811.08933v1
http://arxiv.org/pdf/1811.08933v1.pdf
https://github.com/nikoguil1/gpusim_SMK
false
false
true
pytorch
https://paperswithcode.com/paper/neural-machine-translation-with-error
Neural Machine Translation with Error Correction
2007.10681
https://arxiv.org/abs/2007.10681v1
https://arxiv.org/pdf/2007.10681v1.pdf
https://github.com/StillKeepTry/ECM-NMT
true
true
false
pytorch
https://paperswithcode.com/paper/modulating-early-visual-processing-by
Modulating early visual processing by language
1707.00683
http://arxiv.org/abs/1707.00683v3
http://arxiv.org/pdf/1707.00683v3.pdf
https://github.com/ap229997/Conditional-Batch-Norm
false
false
true
pytorch
https://paperswithcode.com/paper/exploring-modern-gpu-memory-system-design
Exploring Modern GPU Memory System Design Challenges through Accurate Modeling
1810.07269
http://arxiv.org/abs/1810.07269v1
http://arxiv.org/pdf/1810.07269v1.pdf
https://github.com/nikoguil1/gpusim_SMK
false
false
true
pytorch
https://paperswithcode.com/paper/physics-and-computing-performance-of-the-exa
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking
2103.06995
https://arxiv.org/abs/2103.06995v2
https://arxiv.org/pdf/2103.06995v2.pdf
https://github.com/HSF-reco-and-software-triggers/Tracking-ML-Exa.TrkX
true
false
false
pytorch
https://paperswithcode.com/paper/funnel-activation-for-visual-recognition
Funnel Activation for Visual Recognition
2007.11824
https://arxiv.org/abs/2007.11824v2
https://arxiv.org/pdf/2007.11824v2.pdf
https://github.com/megvii-model/FunnelAct
true
true
true
none