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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/improving-response-selection-in-multi-turn
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge
1809.03194
http://arxiv.org/abs/1809.03194v3
http://arxiv.org/pdf/1809.03194v3.pdf
https://github.com/SmartDataAnalytics/AK-DE-biGRU
true
true
true
pytorch
https://paperswithcode.com/paper/hyperminhash-minhash-in-loglog-space
HyperMinHash: MinHash in LogLog space
1710.08436
https://arxiv.org/abs/1710.08436v4
https://arxiv.org/pdf/1710.08436v4.pdf
https://github.com/yunwilliamyu/hyperminhash
true
true
true
none
https://paperswithcode.com/paper/far-beyond-stacking-fully-bayesian
Far beyond stacking: Fully bayesian constraints on sub-microJy radio source populations over the XMM-LSS-VIDEO field
1503.02493
http://arxiv.org/abs/1503.02493v1
http://arxiv.org/pdf/1503.02493v1.pdf
https://github.com/jtlz2/bayestack
false
false
true
none
https://paperswithcode.com/paper/a-spectroscopic-and-photometric-exploration
A Spectroscopic and Photometric Exploration of the C/M Ratio in the Disk of M31
1507.06687
https://arxiv.org/abs/1507.06687v1
https://arxiv.org/pdf/1507.06687v1.pdf
https://github.com/rachelraikar/WeakCN2019
false
false
true
none
https://paperswithcode.com/paper/data-compression-in-cosmology-a-compressed
Data compression in cosmology: A compressed likelihood for Planck data
1909.05869
https://arxiv.org/abs/1909.05869v1
https://arxiv.org/pdf/1909.05869v1.pdf
https://github.com/heatherprince/cosmoped
true
true
true
none
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/CarpdiemLiang/style_transfer
false
false
true
pytorch
https://paperswithcode.com/paper/efficient-softmax-approximation-for-gpus
Efficient softmax approximation for GPUs
1609.04309
http://arxiv.org/abs/1609.04309v3
http://arxiv.org/pdf/1609.04309v3.pdf
https://github.com/rdspring1/PyTorch_GBW_LM
false
false
true
pytorch
https://paperswithcode.com/paper/12-in-1-multi-task-vision-and-language
12-in-1: Multi-Task Vision and Language Representation Learning
1912.02315
https://arxiv.org/abs/1912.02315v2
https://arxiv.org/pdf/1912.02315v2.pdf
https://github.com/jialinwu17/tmpimgs
false
false
true
pytorch
https://paperswithcode.com/paper/attention-is-all-you-need
Attention Is All You Need
1706.03762
https://arxiv.org/abs/1706.03762v7
https://arxiv.org/pdf/1706.03762v7.pdf
https://github.com/lovedavidsilva/bert_old_version
false
false
true
tf
https://paperswithcode.com/paper/let-me-not-lie-learning-multinomial-logit
Enhancing Discrete Choice Models with Representation Learning
1812.09747
https://arxiv.org/abs/1812.09747v3
https://arxiv.org/pdf/1812.09747v3.pdf
https://github.com/BSifringer/EnhancedDCM
true
true
true
tf
https://paperswithcode.com/paper/synthesizing-number-generators-for-stochastic
Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming
1902.05971
https://arxiv.org/abs/1902.05971v2
https://arxiv.org/pdf/1902.05971v2.pdf
https://github.com/sweetwenwen/Stochastic-computing-based-neural-network-accelerator
false
false
true
none
https://paperswithcode.com/paper/sparse-perturbations-for-improved-convergence
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
2006.01759
https://arxiv.org/abs/2006.01759v2
https://arxiv.org/pdf/2006.01759v2.pdf
https://github.com/StatNLP/sparse_szo
true
true
true
pytorch
https://paperswithcode.com/paper/efficient-estimation-of-mutual-information
Efficient Estimation of Mutual Information for Strongly Dependent Variables
1411.2003
http://arxiv.org/abs/1411.2003v3
http://arxiv.org/pdf/1411.2003v3.pdf
https://github.com/BiuBiuBiLL/NPEET_LNC
false
false
true
none
https://paperswithcode.com/paper/swinir-image-restoration-using-swin
SwinIR: Image Restoration Using Swin Transformer
2108.10257
https://arxiv.org/abs/2108.10257v1
https://arxiv.org/pdf/2108.10257v1.pdf
https://github.com/XPixelGroup/BasicSR
false
false
false
pytorch
https://paperswithcode.com/paper/topics-to-avoid-demoting-latent-confounds-in
Topics to Avoid: Demoting Latent Confounds in Text Classification
1909.00453
https://arxiv.org/abs/1909.00453v2
https://arxiv.org/pdf/1909.00453v2.pdf
https://github.com/Sachin19/adversarial-classify
true
true
true
pytorch
https://paperswithcode.com/paper/depth-bounding-is-effective-improvements-and
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
1809.03112
http://arxiv.org/abs/1809.03112v1
http://arxiv.org/pdf/1809.03112v1.pdf
https://github.com/lifengjin/dimi_emnlp18
true
true
true
none
https://paperswithcode.com/paper/convolutional-neural-networks-for-sentence
Convolutional Neural Networks for Sentence Classification
1408.5882
http://arxiv.org/abs/1408.5882v2
http://arxiv.org/pdf/1408.5882v2.pdf
https://github.com/alexander-rakhlin/CNN-for-Sentence-Classification-in-Keras
false
false
true
tf
https://paperswithcode.com/paper/181001993
Exascale Deep Learning for Climate Analytics
1810.01993
http://arxiv.org/abs/1810.01993v1
http://arxiv.org/pdf/1810.01993v1.pdf
https://github.com/PointKernel/climate-seg-benchmark
false
false
true
tf
https://paperswithcode.com/paper/axial-attention-in-multidimensional-1
Axial Attention in Multidimensional Transformers
1912.12180
https://arxiv.org/abs/1912.12180v1
https://arxiv.org/pdf/1912.12180v1.pdf
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/Axial_attention.py
false
false
false
mindspore
https://paperswithcode.com/paper/mastering-chess-and-shogi-by-self-play-with-a
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
1712.01815
http://arxiv.org/abs/1712.01815v1
http://arxiv.org/pdf/1712.01815v1.pdf
https://github.com/fantianwen/leela13_training
false
false
true
tf
https://paperswithcode.com/paper/the-privacy-policy-landscape-after-the-gdpr
The Privacy Policy Landscape After the GDPR
1809.08396
https://arxiv.org/abs/1809.08396v3
https://arxiv.org/pdf/1809.08396v3.pdf
https://github.com/wi-pi/GDPR
false
false
true
none
https://paperswithcode.com/paper/tisat-time-series-anomaly-transformer
TiSAT: Time Series Anomaly Transformer
2203.05167
https://arxiv.org/abs/2203.05167v1
https://arxiv.org/pdf/2203.05167v1.pdf
https://github.com/kevaldoshi17/TiSAT
true
false
false
pytorch
https://paperswithcode.com/paper/explaining-deep-learning-based-networked
Interpreting Deep Learning-Based Networking Systems
1910.03835
https://arxiv.org/abs/1910.03835v3
https://arxiv.org/pdf/1910.03835v3.pdf
https://github.com/TranSys2020/TranSys
false
false
true
tf
https://paperswithcode.com/paper/clft-camera-lidar-fusion-transformer-for
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving
2404.17793
https://arxiv.org/abs/2404.17793v3
https://arxiv.org/pdf/2404.17793v3.pdf
https://github.com/claud1234/fcn_transformer_object_segmentation
true
true
true
pytorch
https://paperswithcode.com/paper/deep-depth-from-focus
Deep Depth From Focus
1704.01085
http://arxiv.org/abs/1704.01085v3
http://arxiv.org/pdf/1704.01085v3.pdf
https://github.com/gameover27/ddff-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/average-individual-fairness-algorithms
Average Individual Fairness: Algorithms, Generalization and Experiments
1905.10607
https://arxiv.org/abs/1905.10607v2
https://arxiv.org/pdf/1905.10607v2.pdf
https://github.com/SaeedSharifiMa/AIF
true
false
true
none
https://paperswithcode.com/paper/efficient-mdp-analysis-for-selfish-mining-in
Efficient MDP Analysis for Selfish-Mining in Blockchains
2007.05614
https://arxiv.org/abs/2007.05614v1
https://arxiv.org/pdf/2007.05614v1.pdf
https://github.com/roibarzur/pto-selfish-mining
true
true
true
none
https://paperswithcode.com/paper/learning-latent-vector-spaces-for-product
Learning Latent Vector Spaces for Product Search
1608.07253
http://arxiv.org/abs/1608.07253v1
http://arxiv.org/pdf/1608.07253v1.pdf
https://github.com/cvangysel/SERT
true
true
true
none
https://paperswithcode.com/paper/focal-loss-for-dense-object-detection
Focal Loss for Dense Object Detection
1708.02002
http://arxiv.org/abs/1708.02002v2
http://arxiv.org/pdf/1708.02002v2.pdf
https://github.com/feidfoe/AdjustBnd4Imbalance
false
false
true
pytorch
https://paperswithcode.com/paper/a-clear-age-velocity-dispersion-correlation
A clear age-velocity dispersion correlation in Andromeda's stellar disk
1502.03820
https://arxiv.org/abs/1502.03820v1
https://arxiv.org/pdf/1502.03820v1.pdf
https://github.com/rachelraikar/WeakCN2019
false
false
true
none
https://paperswithcode.com/paper/bert-pre-training-of-deep-bidirectional
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
1810.04805
https://arxiv.org/abs/1810.04805v2
https://arxiv.org/pdf/1810.04805v2.pdf
https://github.com/anupamsingh610/bert_ner_stride
false
false
true
tf
https://paperswithcode.com/paper/reproducible-workflow-on-a-public-cloud-for
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics
1904.07981
https://arxiv.org/abs/1904.07981v2
https://arxiv.org/pdf/1904.07981v2.pdf
https://github.com/barbagroup/cloud-repro
true
true
true
none
https://paperswithcode.com/paper/interpreting-video-features-a-comparison-of-1
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
2002.00367
https://arxiv.org/abs/2002.00367v2
https://arxiv.org/pdf/2002.00367v2.pdf
https://github.com/interpreting-video-features/interpreting-video-features
false
false
true
pytorch
https://paperswithcode.com/paper/long-term-causal-effects-estimation-via
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
2208.04589
https://arxiv.org/abs/2208.04589v3
https://arxiv.org/pdf/2208.04589v3.pdf
https://github.com/WeilinChen507/LASER
true
false
false
pytorch
https://paperswithcode.com/paper/sequential-feature-classification-in-the
Sequential Feature Classification in the Context of Redundancies
2004.00658
https://arxiv.org/abs/2004.00658v2
https://arxiv.org/pdf/2004.00658v2.pdf
https://github.com/lpfann/squamish
true
true
true
none
https://paperswithcode.com/paper/effective-waves-for-random-three-dimensional
Effective Waves for Random Three-dimensional Particulate Materials
2010.00934
https://arxiv.org/abs/2010.00934v1
https://arxiv.org/pdf/2010.00934v1.pdf
https://github.com/arturgower/EffectiveWaves.jl
false
false
true
none
https://paperswithcode.com/paper/nubes-a-corpus-of-negation-and-uncertainty-in
NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
2004.01092
https://arxiv.org/abs/2004.01092v1
https://arxiv.org/pdf/2004.01092v1.pdf
https://github.com/Vicomtech/NUBes-negation-uncertainty-biomedical-corpus
true
true
true
none
https://paperswithcode.com/paper/the-explanation-game-explaining-machine
The Explanation Game: Explaining Machine Learning Models Using Shapley Values
1909.08128
https://arxiv.org/abs/1909.08128v3
https://arxiv.org/pdf/1909.08128v3.pdf
https://github.com/fiddler-labs/the-explanation-game-supplemental
false
false
true
none
https://paperswithcode.com/paper/a-neural-conversational-model
A Neural Conversational Model
1506.05869
http://arxiv.org/abs/1506.05869v3
http://arxiv.org/pdf/1506.05869v3.pdf
https://github.com/shahrukhsf/Chatbot
false
false
true
tf
https://paperswithcode.com/paper/nonnegative-gaussian-process-tomography-for
Nonnegative Gaussian process tomography for generalized segmented planar detectors
1912.01058
https://arxiv.org/abs/1912.01058v1
https://arxiv.org/pdf/1912.01058v1.pdf
https://github.com/decibelcooper/nngpt
true
true
true
none
https://paperswithcode.com/paper/facenet-a-unified-embedding-for-face
FaceNet: A Unified Embedding for Face Recognition and Clustering
1503.03832
http://arxiv.org/abs/1503.03832v3
http://arxiv.org/pdf/1503.03832v3.pdf
https://github.com/Maninder10/face
false
false
true
tf
https://paperswithcode.com/paper/a-declarative-validator-for-gsos-languages
A Declarative Validator for GSOS Languages
2304.06397
https://arxiv.org/abs/2304.06397v1
https://arxiv.org/pdf/2304.06397v1.pdf
https://github.com/mcimini/gsos-validator
true
true
false
none
https://paperswithcode.com/paper/a-new-coefficient-of-correlation
A new coefficient of correlation
1909.10140
https://arxiv.org/abs/1909.10140v4
https://arxiv.org/pdf/1909.10140v4.pdf
https://github.com/czbiohub/pyxi
false
false
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/adaisti/fin-eval
false
false
true
none
https://paperswithcode.com/paper/statistical-properties-of-paired-fixed-fields
Statistical properties of paired fixed fields
1806.01871
https://arxiv.org/abs/1806.01871v1
https://arxiv.org/pdf/1806.01871v1.pdf
https://github.com/HAWinther/MG-PICOLA-PUBLIC
false
false
true
none
https://paperswithcode.com/paper/learning-an-optimally-reduced-formulation-of
Learning an Optimally Reduced Formulation of OPF through Meta-optimization
1911.06784
https://arxiv.org/abs/1911.06784v3
https://arxiv.org/pdf/1911.06784v3.pdf
https://github.com/invenia/MetaOptOPF.jl
true
true
true
none
https://paperswithcode.com/paper/k-nearest-neighbour-classifiers-2nd-edition
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)
2004.04523
https://arxiv.org/abs/2004.04523v2
https://arxiv.org/pdf/2004.04523v2.pdf
https://github.com/PadraigC/kNNTutorial
true
true
true
none
https://paperswithcode.com/paper/off-the-beaten-sidewalk-pedestrian-prediction
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
2006.00962
https://arxiv.org/abs/2006.00962v1
https://arxiv.org/pdf/2006.00962v1.pdf
https://github.com/umautobots/osp
false
false
true
none
https://paperswithcode.com/paper/larnet-lie-algebra-residual-network-for
LARNet: Lie Algebra Residual Network for Face Recognition
2103.08147
https://arxiv.org/abs/2103.08147v2
https://arxiv.org/pdf/2103.08147v2.pdf
https://github.com/paradocx/LARNet
false
false
true
pytorch
https://paperswithcode.com/paper/analysis-of-eeg-frequency-bands-for
Analysis of EEG frequency bands for Envisioned Speech Recognition
2203.15250
https://arxiv.org/abs/2203.15250v1
https://arxiv.org/pdf/2203.15250v1.pdf
https://github.com/ayushayt/imaginedspeechrecognition
true
true
false
none
https://paperswithcode.com/paper/real-time-evasion-attacks-with-physical
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems
1907.07487
https://arxiv.org/abs/1907.07487v3
https://arxiv.org/pdf/1907.07487v3.pdf
https://github.com/scy-phy/ICS-Evasion-Attacks
true
true
true
tf
https://paperswithcode.com/paper/adaptive-representation-selection-in
Contextual Bandit with Adaptive Feature Extraction
1802.00981
https://arxiv.org/abs/1802.00981v4
https://arxiv.org/pdf/1802.00981v4.pdf
https://github.com/doerlbh/ABaCoDE
true
true
true
none
https://paperswithcode.com/paper/manifold-regularization-for-adversarial
Manifold Regularization for Locally Stable Deep Neural Networks
2003.04286
https://arxiv.org/abs/2003.04286v2
https://arxiv.org/pdf/2003.04286v2.pdf
https://github.com/charlesjin/adversarial_regularization
false
false
true
pytorch
https://paperswithcode.com/paper/mnist-c-a-robustness-benchmark-for-computer
MNIST-C: A Robustness Benchmark for Computer Vision
1906.02337
https://arxiv.org/abs/1906.02337v1
https://arxiv.org/pdf/1906.02337v1.pdf
https://github.com/google-research/mnist-c
true
true
true
none
https://paperswithcode.com/paper/efficientnet-rethinking-model-scaling-for
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
1905.11946
https://arxiv.org/abs/1905.11946v5
https://arxiv.org/pdf/1905.11946v5.pdf
https://github.com/rwightman/efficientnet-jax
false
false
true
jax
https://paperswithcode.com/paper/self-monitoring-navigation-agent-via
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
1901.03035
http://arxiv.org/abs/1901.03035v1
http://arxiv.org/pdf/1901.03035v1.pdf
https://github.com/ayusefi/Localization-Papers
false
false
true
none
https://paperswithcode.com/paper/deep-image-clustering-with-category-style
Deep Image Clustering with Category-Style Representation
2007.10004
https://arxiv.org/abs/2007.10004v1
https://arxiv.org/pdf/2007.10004v1.pdf
https://github.com/sKamiJ/DCCS
true
true
true
pytorch
https://paperswithcode.com/paper/qmeq-10-an-open-source-python-package-for
QmeQ 1.0: An open-source Python package for calculations of transport through quantum dot devices
1706.10104
http://arxiv.org/abs/1706.10104v2
http://arxiv.org/pdf/1706.10104v2.pdf
https://github.com/gedaskir/qmeq
true
true
true
none
https://paperswithcode.com/paper/non-gaussian-gaussian-processes-for-few-shot
Non-Gaussian Gaussian Processes for Few-Shot Regression
2110.13561
https://arxiv.org/abs/2110.13561v1
https://arxiv.org/pdf/2110.13561v1.pdf
https://github.com/gmum/non-gaussian-gaussian-processes
true
true
true
pytorch
https://paperswithcode.com/paper/facenet-a-unified-embedding-for-face
FaceNet: A Unified Embedding for Face Recognition and Clustering
1503.03832
http://arxiv.org/abs/1503.03832v3
http://arxiv.org/pdf/1503.03832v3.pdf
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
false
false
true
pytorch
https://paperswithcode.com/paper/metric-learning-with-adaptive-density
Metric Learning with Adaptive Density Discrimination
1511.05939
http://arxiv.org/abs/1511.05939v2
http://arxiv.org/pdf/1511.05939v2.pdf
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
false
false
true
pytorch
https://paperswithcode.com/paper/abcnet-an-attention-based-method-for-particle
ABCNet: An attention-based method for particle tagging
2001.05311
https://arxiv.org/abs/2001.05311v2
https://arxiv.org/pdf/2001.05311v2.pdf
https://github.com/ViniciusMikuni/ABCNet
true
false
true
tf
https://paperswithcode.com/paper/mask-shadowgan-learning-to-remove-shadows
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
1903.10683
https://arxiv.org/abs/1903.10683v3
https://arxiv.org/pdf/1903.10683v3.pdf
https://github.com/wkhademi/ImageEnhancement
false
false
true
tf
https://paperswithcode.com/paper/gapnet-graph-attention-based-point-neural
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
1905.08705
https://arxiv.org/abs/1905.08705v1
https://arxiv.org/pdf/1905.08705v1.pdf
https://github.com/ViniciusMikuni/ABCNet
false
false
true
tf
https://paperswithcode.com/paper/solving-inverse-problems-with-deep-neural
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
2011.04268
https://arxiv.org/abs/2011.04268v1
https://arxiv.org/pdf/2011.04268v1.pdf
https://github.com/jmaces/robust-nets
true
true
true
pytorch
https://paperswithcode.com/paper/style-transfer-by-rigid-alignment-in-neural
Style Transfer by Rigid Alignment in Neural Net Feature Space
1909.13690
https://arxiv.org/abs/1909.13690v2
https://arxiv.org/pdf/1909.13690v2.pdf
https://github.com/ManthanBhala/Style-Transfer-by-Rigid-Alignment
false
false
true
pytorch
https://paperswithcode.com/paper/noilin-do-noisy-labels-always-hurt
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
2105.14676
https://arxiv.org/abs/2105.14676v2
https://arxiv.org/pdf/2105.14676v2.pdf
https://github.com/zjfheart/noilin
true
true
false
pytorch
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/crx934080895/Bert-CRF_New2
false
false
true
tf
https://paperswithcode.com/paper/uncrowded-hypervolume-based-multi-objective
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing
2004.05068
https://arxiv.org/abs/2004.05068v1
https://arxiv.org/pdf/2004.05068v1.pdf
https://github.com/DudewithPigskin/EvolutionaryAlgorithms
false
false
true
none
https://paperswithcode.com/paper/blazeface-sub-millisecond-neural-face
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
1907.05047
https://arxiv.org/abs/1907.05047v2
https://arxiv.org/pdf/1907.05047v2.pdf
https://github.com/longnguyen2/blazeface
false
false
true
pytorch
https://paperswithcode.com/paper/interactive-classification-by-asking-1
Interactive Classification by Asking Informative Questions
1911.03598
https://arxiv.org/abs/1911.03598v2
https://arxiv.org/pdf/1911.03598v2.pdf
https://github.com/asappresearch/interactive-classification
true
true
true
pytorch
https://paperswithcode.com/paper/attention-is-all-you-need
Attention Is All You Need
1706.03762
https://arxiv.org/abs/1706.03762v7
https://arxiv.org/pdf/1706.03762v7.pdf
https://github.com/hiun/learning-transformers
false
false
true
pytorch
https://paperswithcode.com/paper/neural-machine-translation-by-jointly
Neural Machine Translation by Jointly Learning to Align and Translate
1409.0473
http://arxiv.org/abs/1409.0473v7
http://arxiv.org/pdf/1409.0473v7.pdf
https://github.com/hiun/learning-transformers
false
false
true
pytorch
https://paperswithcode.com/paper/oteann-estimating-the-transparency-of
OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network
1912.13321
https://arxiv.org/abs/1912.13321v4
https://arxiv.org/pdf/1912.13321v4.pdf
https://github.com/marxav/oteann3
true
false
true
pytorch
https://paperswithcode.com/paper/target-driven-visual-navigation-exploiting
Learning hierarchical relationships for object-goal navigation
2003.06749
https://arxiv.org/abs/2003.06749v2
https://arxiv.org/pdf/2003.06749v2.pdf
https://github.com/cassieqiuyd/MJOLNIR
false
false
true
pytorch
https://paperswithcode.com/paper/params-parameter-optimization-for-atomistic
ParAMS: Parameter Optimization for Atomistic and Molecular Simulations
2102.08843
https://arxiv.org/abs/2102.08843v3
https://arxiv.org/pdf/2102.08843v3.pdf
https://github.com/oiao/params_si
true
true
true
none
https://paperswithcode.com/paper/requirements-and-motivations-of-low-resource
Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization
null
https://aclanthology.org/2022.acl-long.507
https://aclanthology.org/2022.acl-long.507.pdf
https://github.com/roedoejet/fastspeech2
true
true
false
pytorch
https://paperswithcode.com/paper/resolving-anomalies-in-the-behaviour-of-a
Resolving Anomalies in the Behaviour of a Modularity Inducing Problem Domain with Distributional Fitness Evaluation
2110.13609
https://arxiv.org/abs/2110.13609v2
https://arxiv.org/pdf/2110.13609v2.pdf
https://github.com/zhenyueqin/project-maotai-modularity
true
true
false
none
https://paperswithcode.com/paper/lhco-reader-a-new-code-for-reading-and
LHCO_reader: A new code for reading and analyzing detector-level events stored in LHCO format
1510.07319
http://arxiv.org/abs/1510.07319v2
http://arxiv.org/pdf/1510.07319v2.pdf
https://github.com/innisfree/LHCO_reader
true
true
true
none
https://paperswithcode.com/paper/approximate-probabilistic-verification-of
Approximate probabilistic verification of hybrid systems
1412.6953
http://arxiv.org/abs/1412.6953v2
http://arxiv.org/pdf/1412.6953v2.pdf
https://github.com/bgyori/hybrid
true
true
true
none
https://paperswithcode.com/paper/determining-hyperbolicity-of-compact
Determining hyperbolicity of compact orientable 3-manifolds with torus boundary
1410.7115
http://arxiv.org/abs/1410.7115v5
http://arxiv.org/pdf/1410.7115v5.pdf
https://github.com/bobbycyiii/carrot
true
true
true
none
https://paperswithcode.com/paper/initial-semantics-for-reduction-rules
Initial Semantics for Reduction Rules
1212.5668
http://arxiv.org/abs/1212.5668v3
http://arxiv.org/pdf/1212.5668v3.pdf
https://github.com/benediktahrens/monads
true
true
true
none
https://paperswithcode.com/paper/log-complex-color-for-visual-pattern
Log Complex Color for Visual Pattern Recognition of Total Sound
1907.09936
https://arxiv.org/abs/1907.09936v1
https://arxiv.org/pdf/1907.09936v1.pdf
https://github.com/qx4845/TotalSound
false
false
true
none
https://paperswithcode.com/paper/deep-learning-of-dynamics-and-signal-noise
Deep learning of dynamics and signal-noise decomposition with time-stepping constraints
1808.02578
https://arxiv.org/abs/1808.02578v2
https://arxiv.org/pdf/1808.02578v2.pdf
https://github.com/oclaudio/cubic-oscillator
false
false
true
tf
https://paperswithcode.com/paper/multiple-waves-propagate-in-random
Multiple Waves Propagate in Random Particulate Materials
1810.10816
https://arxiv.org/abs/1810.10816v3
https://arxiv.org/pdf/1810.10816v3.pdf
https://github.com/arturgower/EffectiveWaves.jl
true
true
true
none
https://paperswithcode.com/paper/slow-cooling-of-hot-polarons-in-halide
Slow cooling of hot polarons in halide perovskite solar cells
1708.04158
http://arxiv.org/abs/1708.04158v1
http://arxiv.org/pdf/1708.04158v1.pdf
https://github.com/WMD-group/hot-carrier-cooling
true
true
true
none
https://paperswithcode.com/paper/analysis-of-a-certain-polycyclic-group-based
Analysis of a certain polycyclic-group-based cryptosystem
1504.05040
http://arxiv.org/abs/1504.05040v1
http://arxiv.org/pdf/1504.05040v1.pdf
https://github.com/mkotov/polycyclic
true
true
true
none
https://paperswithcode.com/paper/hmfcalc-an-online-tool-for-calculating-dark
HMFcalc: An Online Tool for Calculating Dark Matter Halo Mass Functions
1306.6721
https://arxiv.org/abs/1306.6721v1
https://arxiv.org/pdf/1306.6721v1.pdf
https://github.com/steven-murray/halomod
false
false
true
none
https://paperswithcode.com/paper/a-neuro-inspired-autoencoding-defense-against
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
2011.10867
https://arxiv.org/abs/2011.10867v2
https://arxiv.org/pdf/2011.10867v2.pdf
https://github.com/canbakiskan/neuro-inspired-defense
true
true
true
pytorch
https://paperswithcode.com/paper/denoising-quantum-states-with-quantum
Denoising quantum states with Quantum Autoencoders -- Theory and Applications
2012.14714
https://arxiv.org/abs/2012.14714v1
https://arxiv.org/pdf/2012.14714v1.pdf
https://github.com/Tom-Achache/QAEs
true
true
true
none
https://paperswithcode.com/paper/multilingual-email-zoning
Multilingual Email Zoning
2102.00461
https://arxiv.org/abs/2102.00461v2
https://arxiv.org/pdf/2102.00461v2.pdf
https://github.com/cleverly-ai/multilingual-email-zoning
true
true
true
none
https://paperswithcode.com/paper/coherent-point-drift-networks-unsupervised
Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration
1906.03039
https://arxiv.org/abs/1906.03039v5
https://arxiv.org/pdf/1906.03039v5.pdf
https://github.com/krentzd/cpd-net
false
false
true
pytorch
https://paperswithcode.com/paper/physics-informed-kan-pointnet-deep-learning
Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries
2504.06327
https://arxiv.org/abs/2504.06327v2
https://arxiv.org/pdf/2504.06327v2.pdf
https://github.com/Ali-Stanford/Physics_Informed_KAN_PointNet
false
false
true
pytorch
https://paperswithcode.com/paper/large-scale-neural-recordings-call-for-new
Large-scale neural recordings call for new insights to link brain and behavior
2103.14662
https://arxiv.org/abs/2103.14662v2
https://arxiv.org/pdf/2103.14662v2.pdf
https://github.com/anne-urai/largescale_recordings
true
true
true
none
https://paperswithcode.com/paper/incremental-visual-inertial-3d-mesh
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
1903.01067
https://arxiv.org/abs/1903.01067v2
https://arxiv.org/pdf/1903.01067v2.pdf
https://github.com/MIT-SPARK/Kimera-Evaluation
false
false
true
none
https://paperswithcode.com/paper/ptt5-pretraining-and-validating-the-t5-model
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data
2008.09144
https://arxiv.org/abs/2008.09144v2
https://arxiv.org/pdf/2008.09144v2.pdf
https://github.com/unicamp-dl/cross-lingual-analysis
false
false
true
none
https://paperswithcode.com/paper/offline-reinforcement-learning-with-implicit
Offline Reinforcement Learning with Implicit Q-Learning
2110.06169
https://arxiv.org/abs/2110.06169v1
https://arxiv.org/pdf/2110.06169v1.pdf
https://github.com/ikostrikov/implicit_q_learning
true
false
true
jax
https://paperswithcode.com/paper/mocogan-decomposing-motion-and-content-for
MoCoGAN: Decomposing Motion and Content for Video Generation
1707.04993
http://arxiv.org/abs/1707.04993v2
http://arxiv.org/pdf/1707.04993v2.pdf
https://github.com/DLHacks/mocogan
false
false
true
pytorch
https://paperswithcode.com/paper/machine-learning-in-precision-medicine-to
Machine Learning in Precision Medicine to Preserve Privacy via Encryption
2102.03412
https://arxiv.org/abs/2102.03412v1
https://arxiv.org/pdf/2102.03412v1.pdf
https://github.com/isotlaboratory/Healthcare-Security-Analysis-MLE
true
false
true
none
https://paperswithcode.com/paper/revisiting-performance-of-bicgstab-methods
Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides
1907.12874
http://arxiv.org/abs/1907.12874v3
http://arxiv.org/pdf/1907.12874v3.pdf
https://gitlab.com/xamg/xamg
false
false
true
none