Split (1)

train · 300k rows

paper_url stringlengths 36 81	paper_title stringlengths 1 242 ⌀	paper_arxiv_id stringlengths 9 16 ⌀	paper_url_abs stringlengths 18 314	paper_url_pdf stringlengths 21 935 ⌀	repo_url stringlengths 26 200	is_official bool 2 classes	mentioned_in_paper bool 2 classes	mentioned_in_github bool 2 classes	framework stringclasses 9 values
https://paperswithcode.com/paper/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

Subsets and Splits

Framework Repo Connectivity Analysis

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

Deduplicated Paper-Code Links

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

Paper Repo Counts & Distribution

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

Quantum Papers with Code Links

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

Financial Stock Price Prediction

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

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

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

Search for YOLO Links

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

Prompt Optimization and Personalization

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