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/ranking-aggregation-with-interactive-feedback	Ranking Aggregation with Interactive Feedback for Collaborative Person Re-identification	null	https://bmvc2022.mpi-inf.mpg.de/386/	https://bmvc2022.mpi-inf.mpg.de/0386.pdf	https://github.com/2023-MindSpore-1/ms-code-137	false	false	false	mindspore
https://paperswithcode.com/paper/on-recognizing-texts-of-arbitrary-shapes-with	On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention	1910.04396	https://arxiv.org/abs/1910.04396v1	https://arxiv.org/pdf/1910.04396v1.pdf	https://github.com/Media-Smart/vedastr	false	false	true	pytorch
https://paperswithcode.com/paper/on-the-robustness-of-interpretability-methods	On the Robustness of Interpretability Methods	1806.08049	http://arxiv.org/abs/1806.08049v1	http://arxiv.org/pdf/1806.08049v1.pdf	https://github.com/pytorch/captum	false	false	false	pytorch
https://paperswithcode.com/paper/efficient-robust-optimal-transport	Efficient Robust Optimal Transport with Application to Multi-Label Classification	2010.11852	https://arxiv.org/abs/2010.11852v2	https://arxiv.org/pdf/2010.11852v2.pdf	https://github.com/SatyadevNtv/ROT4C	true	true	true	tf
https://paperswithcode.com/paper/comprehensive-view-of-microscopic	Comprehensive view of microscopic interactions between DNA-coated colloids	2111.06468	https://arxiv.org/abs/2111.06468v1	https://arxiv.org/pdf/2111.06468v1.pdf	https://github.com/smarbach/dnacoatedcolloidsinteractions	true	true	false	none
https://paperswithcode.com/paper/interpretation-of-neural-networks-is-fragile	Interpretation of Neural Networks is Fragile	1710.10547	http://arxiv.org/abs/1710.10547v2	http://arxiv.org/pdf/1710.10547v2.pdf	https://github.com/pytorch/captum	false	false	false	pytorch
https://paperswithcode.com/paper/deep-residual-inception-encoder-decoder-1	Deep residual inception encoder-decoder network for amyloid PET harmonization	null	https://alz-journals.onlinelibrary.wiley.com/doi/full/10.1002/alz.12564	https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.12564	https://github.com/jaygshah/RIED-Net	false	false	false	pytorch
https://paperswithcode.com/paper/adposition-and-case-supersenses-v2-guidelines	Adposition and Case Supersenses v2.6: Guidelines for English	1704.02134	https://arxiv.org/abs/1704.02134v8	https://arxiv.org/pdf/1704.02134v8.pdf	https://github.com/nert-gu/streusle	true	true	true	none
https://paperswithcode.com/paper/bisect-learning-to-split-and-rephrase	BiSECT: Learning to Split and Rephrase Sentences with Bitexts	2109.05006	https://arxiv.org/abs/2109.05006v1	https://arxiv.org/pdf/2109.05006v1.pdf	https://github.com/mounicam/bisect	true	true	true	none
https://paperswithcode.com/paper/stiff-neural-ordinary-differential-equations	Stiff Neural Ordinary Differential Equations	2103.15341	https://arxiv.org/abs/2103.15341v3	https://arxiv.org/pdf/2103.15341v3.pdf	https://github.com/DENG-MIT/StiffNeuralODE	true	true	true	none
https://paperswithcode.com/paper/dimension-reduction-of-dynamical-systems-on	Dimension reduction of dynamical systems on networks with leading and non-leading eigenvectors of adjacency matrices	2203.13872	https://arxiv.org/abs/2203.13872v2	https://arxiv.org/pdf/2203.13872v2.pdf	https://github.com/naokimas/nonleading-spectral	true	true	false	none
https://paperswithcode.com/paper/the-built-in-selection-bias-of-hazard-ratios	The built-in selection bias of hazard ratios formalized	2210.16550	https://arxiv.org/abs/2210.16550v1	https://arxiv.org/pdf/2210.16550v1.pdf	https://github.com/rajp93/chr	true	true	false	none
https://paperswithcode.com/paper/informer-beyond-efficient-transformer-for	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	2012.07436	https://arxiv.org/abs/2012.07436v3	https://arxiv.org/pdf/2012.07436v3.pdf	https://github.com/larsbentsen/fftransformer	false	false	true	pytorch
https://paperswithcode.com/paper/detecting-out-of-distribution-examples-with	Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices	1912.12510	https://arxiv.org/abs/1912.12510v2	https://arxiv.org/pdf/1912.12510v2.pdf	https://github.com/kobybibas/pnml_ood_detection	false	false	false	pytorch
https://paperswithcode.com/paper/enhancing-the-reliability-of-out-of	Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks	1706.02690	https://arxiv.org/abs/1706.02690v5	https://arxiv.org/pdf/1706.02690v5.pdf	https://github.com/kobybibas/pnml_ood_detection	false	false	false	pytorch
https://paperswithcode.com/paper/a-baseline-for-detecting-misclassified-and	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	1610.02136	http://arxiv.org/abs/1610.02136v3	http://arxiv.org/pdf/1610.02136v3.pdf	https://github.com/kobybibas/pnml_ood_detection	false	false	false	pytorch
https://paperswithcode.com/paper/parlai-a-dialog-research-software-platform	ParlAI: A Dialog Research Software Platform	1705.06476	http://arxiv.org/abs/1705.06476v4	http://arxiv.org/pdf/1705.06476v4.pdf	https://github.com/min942773/parlai_wandb	false	false	true	pytorch
https://paperswithcode.com/paper/cxr-clip-toward-large-scale-chest-x-ray	CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training	2310.13292	https://arxiv.org/abs/2310.13292v1	https://arxiv.org/pdf/2310.13292v1.pdf	https://github.com/kakaobrain/cxr-clip	false	false	true	pytorch
https://paperswithcode.com/paper/rethinking-the-ill-posedness-of-the-spectral	Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help	2201.02564	https://arxiv.org/abs/2201.02564v2	https://arxiv.org/pdf/2201.02564v2.pdf	https://github.com/shuzheshi/spectralfunction	true	true	false	pytorch
https://paperswithcode.com/paper/towards-consensus-reducing-polarization-by	Towards Consensus: Reducing Polarization by Perturbing Social Networks	2206.08996	https://arxiv.org/abs/2206.08996v2	https://arxiv.org/pdf/2206.08996v2.pdf	https://github.com/drigobon/minimizing-polarization	true	true	false	none
https://paperswithcode.com/paper/efficiently-predicting-high-resolution-mass	Efficiently predicting high resolution mass spectra with graph neural networks	2301.11419	https://arxiv.org/abs/2301.11419v1	https://arxiv.org/pdf/2301.11419v1.pdf	https://github.com/samgoldman97/ms-pred	false	false	true	pytorch
https://paperswithcode.com/paper/generation-of-microbial-colonies-dataset-with	Generation of microbial colonies dataset with deep learning style transfer	2111.03789	https://arxiv.org/abs/2111.03789v2	https://arxiv.org/pdf/2111.03789v2.pdf	https://github.com/jarek-pawlowski/microbial-dataset-generation	true	true	false	pytorch
https://paperswithcode.com/paper/a-principle-solution-for-enroll-test-mismatch	A Principle Solution for Enroll-Test Mismatch in Speaker Recognition	2012.12471	https://arxiv.org/abs/2012.12471v2	https://arxiv.org/pdf/2012.12471v2.pdf	https://gitlab.com/csltstu/enroll-test-mismatch	true	true	false	pytorch
https://paperswithcode.com/paper/data-augmentation-through-monte-carlo	Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics	2109.09649	https://arxiv.org/abs/2109.09649v1	https://arxiv.org/pdf/2109.09649v1.pdf	https://github.com/gkpapers/2021aggregatemca	true	true	false	none
https://paperswithcode.com/paper/automatic-lane-change-scenario-extraction-and	Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data	2203.07521	https://arxiv.org/abs/2203.07521v1	https://arxiv.org/pdf/2203.07521v1.pdf	https://github.com/dkarunakaran/scenario_extraction_framework	true	true	false	none
https://paperswithcode.com/paper/magnitude-corrected-and-time-aligned	Magnitude-Corrected and Time-Aligned Interpolation of Head-Related Transfer Functions	2303.09966	https://arxiv.org/abs/2303.09966v1	https://arxiv.org/pdf/2303.09966v1.pdf	https://github.com/audiogroupcologne/supdeq	true	true	false	none
https://paperswithcode.com/paper/building-a-heterogeneous-large-scale	A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces	2006.03840	https://arxiv.org/abs/2006.03840v3	https://arxiv.org/pdf/2006.03840v3.pdf	https://github.com/clferrari/SLC-3DMM	true	true	true	none
https://paperswithcode.com/paper/workspace-aware-online-grasp-planning	Workspace Aware Online Grasp Planning	1806.11402	http://arxiv.org/abs/1806.11402v1	http://arxiv.org/pdf/1806.11402v1.pdf	https://github.com/scikit-fmm/scikit-fmm	true	true	true	none
https://paperswithcode.com/paper/challenges-in-representation-learning-a	Challenges in Representation Learning: A report on three machine learning contests	1307.0414	http://arxiv.org/abs/1307.0414v1	http://arxiv.org/pdf/1307.0414v1.pdf	https://github.com/justinshenk/fer	false	false	true	tf
https://paperswithcode.com/paper/pc2-pu-patch-correlation-and-position	PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling	2109.09337	https://arxiv.org/abs/2109.09337v3	https://arxiv.org/pdf/2109.09337v3.pdf	https://github.com/chenlongwhu/pc2-pu	true	true	true	pytorch
https://paperswithcode.com/paper/roughness-index-and-roughness-distance-for	Roughness Index and Roughness Distance for Benchmarking Medical Segmentation	2103.12350	https://arxiv.org/abs/2103.12350v1	https://arxiv.org/pdf/2103.12350v1.pdf	https://github.com/Vidhiwar/roughness-index	false	false	true	pytorch
https://paperswithcode.com/paper/beyond-part-models-person-retrieval-with	Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	1711.09349	http://arxiv.org/abs/1711.09349v3	http://arxiv.org/pdf/1711.09349v3.pdf	https://github.com/MindSpore-paper-code-2/code2/tree/main/pcb_rpp	false	false	false	mindspore
https://paperswithcode.com/paper/the-second-conversational-intelligence	The Second Conversational Intelligence Challenge (ConvAI2)	1902.00098	http://arxiv.org/abs/1902.00098v1	http://arxiv.org/pdf/1902.00098v1.pdf	https://github.com/af1tang/personaGPT	false	false	true	pytorch
https://paperswithcode.com/paper/towards-robust-monocular-depth-estimation	Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer	1907.01341	https://arxiv.org/abs/1907.01341v3	https://arxiv.org/pdf/1907.01341v3.pdf	https://github.com/mindspore-ai/models/tree/master/research/cv/midas	false	false	false	mindspore
https://paperswithcode.com/paper/the-pragmatics-behind-politics-modelling	The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse	null	https://aclanthology.org/2020.findings-emnlp.402	https://aclanthology.org/2020.findings-emnlp.402.pdf	https://github.com/littlepea13/mtl_political_discourse	true	true	false	pytorch
https://paperswithcode.com/paper/insight-into-cloud-processes-from	Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder	2211.00860	https://arxiv.org/abs/2211.00860v2	https://arxiv.org/pdf/2211.00860v2.pdf	https://github.com/rdcep/clouds	true	true	false	tf
https://paperswithcode.com/paper/when-is-wall-a-pared-and-when-a-muro	When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection	2109.06014	https://arxiv.org/abs/2109.06014v1	https://arxiv.org/pdf/2109.06014v1.pdf	https://github.com/Aditi138/LexSelection	false	false	true	pytorch
https://paperswithcode.com/paper/stc-antispoofing-systems-for-the-asvspoof2019	STC Antispoofing Systems for the ASVspoof2019 Challenge	1904.05576	http://arxiv.org/abs/1904.05576v1	http://arxiv.org/pdf/1904.05576v1.pdf	https://github.com/ozora-ogino/LCNN	false	false	true	tf
https://paperswithcode.com/paper/repvgg-making-vgg-style-convnets-great-again	RepVGG: Making VGG-style ConvNets Great Again	2101.03697	https://arxiv.org/abs/2101.03697v3	https://arxiv.org/pdf/2101.03697v3.pdf	https://github.com/MindSpore-paper-code-2/code2/tree/main/repvgg	false	false	false	mindspore
https://paperswithcode.com/paper/noisy-networks-for-exploration	Noisy Networks for Exploration	1706.10295	https://arxiv.org/abs/1706.10295v3	https://arxiv.org/pdf/1706.10295v3.pdf	https://github.com/MOVzeroOne/DQN	false	false	true	pytorch
https://paperswithcode.com/paper/vortex-clustering-polarisation-and	Vortex clustering, polarisation and circulation intermittency in classical and quantum turbulence	2107.03335	https://arxiv.org/abs/2107.03335v2	https://arxiv.org/pdf/2107.03335v2.pdf	https://github.com/jipolanco/Circulation.jl	true	true	true	none
https://paperswithcode.com/paper/a-linear-adjustment-based-approach-to	A linear adjustment based approach to posterior drift in transfer learning	2111.10841	https://arxiv.org/abs/2111.10841v2	https://arxiv.org/pdf/2111.10841v2.pdf	https://github.com/smaityumich/linearly-shifted-transfer	true	true	false	none
https://paperswithcode.com/paper/towards-prediction-explainability-through	The Explanation Game: Towards Prediction Explainability through Sparse Communication	2004.13876	https://arxiv.org/abs/2004.13876v2	https://arxiv.org/pdf/2004.13876v2.pdf	https://github.com/deep-spin/spec	true	false	false	pytorch
https://paperswithcode.com/paper/playing-atari-with-deep-reinforcement	Playing Atari with Deep Reinforcement Learning	1312.5602	http://arxiv.org/abs/1312.5602v1	http://arxiv.org/pdf/1312.5602v1.pdf	https://github.com/MOVzeroOne/DQN	false	false	true	pytorch
https://paperswithcode.com/paper/dueling-network-architectures-for-deep	Dueling Network Architectures for Deep Reinforcement Learning	1511.06581	http://arxiv.org/abs/1511.06581v3	http://arxiv.org/pdf/1511.06581v3.pdf	https://github.com/MOVzeroOne/DQN	false	false	true	pytorch
https://paperswithcode.com/paper/deep-reinforcement-learning-with-double-q	Deep Reinforcement Learning with Double Q-learning	1509.06461	http://arxiv.org/abs/1509.06461v3	http://arxiv.org/pdf/1509.06461v3.pdf	https://github.com/MOVzeroOne/DQN	false	false	true	pytorch
https://paperswithcode.com/paper/gaze-estimation-with-an-ensemble-of-four	Gaze Estimation with an Ensemble of Four Architectures	2107.01980	https://arxiv.org/abs/2107.01980v1	https://arxiv.org/pdf/2107.01980v1.pdf	https://github.com/VIPL-TAL-GAZE/GAZE2021	false	false	true	pytorch
https://paperswithcode.com/paper/a-coherent-unsupervised-model-for-toponym	A Coherent Unsupervised Model for Toponym Resolution	1805.01952	https://arxiv.org/abs/1805.01952v2	https://arxiv.org/pdf/1805.01952v2.pdf	https://github.com/ehsk/CHF-TopoResolver	true	true	false	none
https://paperswithcode.com/paper/meta-learning-on-a-sequence-of-imbalanced	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness	2109.14120	https://arxiv.org/abs/2109.14120v1	https://arxiv.org/pdf/2109.14120v1.pdf	https://github.com/joey-wang123/imbalancemeta	true	true	false	pytorch
https://paperswithcode.com/paper/transfer-learning-improving-neural-network	Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data	2105.05075	https://arxiv.org/abs/2105.05075v1	https://arxiv.org/pdf/2105.05075v1.pdf	https://github.com/djozinovi/TLpredIM	true	true	true	none
https://paperswithcode.com/paper/snips-voice-platform-an-embedded-spoken	Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces	1805.10190	http://arxiv.org/abs/1805.10190v3	http://arxiv.org/pdf/1805.10190v3.pdf	https://github.com/Priyanshiguptaaa/Intent_Recognition_BERT	false	false	true	tf
https://paperswithcode.com/paper/advhat-real-world-adversarial-attack-on	AdvHat: Real-world adversarial attack on ArcFace Face ID system	1908.08705	https://arxiv.org/abs/1908.08705v1	https://arxiv.org/pdf/1908.08705v1.pdf	https://github.com/MindSpore-paper-code-2/code400/tree/main/Arcface	false	false	false	mindspore
https://paperswithcode.com/paper/optimizing-memory-efficiency-of-graph	Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms	2104.03058	https://arxiv.org/abs/2104.03058v2	https://arxiv.org/pdf/2104.03058v2.pdf	https://github.com/BUAA-CI-Lab/GNN-Feature-Decomposition	true	true	true	pytorch
https://paperswithcode.com/paper/predictive-world-models-from-real-world	Predictive World Models from Real-World Partial Observations	2301.04783	https://arxiv.org/abs/2301.04783v3	https://arxiv.org/pdf/2301.04783v3.pdf	https://github.com/robin-karlsson0/predictive-world-models	true	true	true	pytorch
https://paperswithcode.com/paper/effectiveness-of-optimization-algorithms-in	Effectiveness of Optimization Algorithms in Deep Image Classification	2110.01598	https://arxiv.org/abs/2110.01598v1	https://arxiv.org/pdf/2110.01598v1.pdf	https://github.com/chuiyunjun/projectCSC413	true	true	false	none
https://paperswithcode.com/paper/ranking-policy-decisions	Ranking Policy Decisions	2008.13607	https://arxiv.org/abs/2008.13607v3	https://arxiv.org/pdf/2008.13607v3.pdf	https://github.com/anonuser-532438/policyrankinganon	true	true	true	pytorch
https://paperswithcode.com/paper/190501999	A Benchmark API Call Dataset for Windows PE Malware Classification	1905.01999	http://arxiv.org/abs/1905.01999v1	http://arxiv.org/pdf/1905.01999v1.pdf	https://github.com/6700github/awesome-reverse-engineering	false	false	true	paddle
https://paperswithcode.com/paper/deep-adaptive-input-normalization-for-price	Deep Adaptive Input Normalization for Time Series Forecasting	1902.07892	https://arxiv.org/abs/1902.07892v2	https://arxiv.org/pdf/1902.07892v2.pdf	https://github.com/vladserkoff/DAIN-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/dpc-unsupervised-deep-point-correspondence	DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction	2110.08636	https://arxiv.org/abs/2110.08636v1	https://arxiv.org/pdf/2110.08636v1.pdf	https://github.com/dvirginz/dpc	true	true	true	pytorch
https://paperswithcode.com/paper/lossless-compression-with-probabilistic-1	Lossless Compression with Probabilistic Circuits	2111.11632	https://arxiv.org/abs/2111.11632v2	https://arxiv.org/pdf/2111.11632v2.pdf	https://github.com/juice-jl/pressedjuice.jl	true	true	false	none
https://paperswithcode.com/paper/putting-nerf-on-a-diet-semantically	Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis	2104.00677	https://arxiv.org/abs/2104.00677v1	https://arxiv.org/pdf/2104.00677v1.pdf	https://github.com/ajayjain/DietNeRF	true	false	true	pytorch
https://paperswithcode.com/paper/reduce-reformulation-of-mixed-integer	ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies	2110.00666	https://arxiv.org/abs/2110.00666v1	https://arxiv.org/pdf/2110.00666v1.pdf	https://github.com/romelaucla/reduce	true	true	true	none
https://paperswithcode.com/paper/step-by-step-a-hierarchical-framework-for	Step by step: a hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning	null	https://doi.org/10.1016/j.knosys.2022.108843	https://doi.org/10.1016/j.knosys.2022.108843	https://github.com/2023-MindSpore-1/ms-code-4	false	false	false	mindspore
https://paperswithcode.com/paper/memebusters-at-semeval-2020-task-8-feature	Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning	null	https://aclanthology.org/2020.semeval-1.154	https://aclanthology.org/2020.semeval-1.154.pdf	https://github.com/04mayukh/memebusters-at-semeval-2020-task-8-memotion-analysis	false	true	false	none
https://paperswithcode.com/paper/v2e-from-video-frames-to-realistic-dvs-event	v2e: From Video Frames to Realistic DVS Events	2006.07722	https://arxiv.org/abs/2006.07722v2	https://arxiv.org/pdf/2006.07722v2.pdf	https://github.com/SensorsINI/v2e_exps_public	false	false	true	pytorch
https://paperswithcode.com/paper/suod-toward-scalable-unsupervised-outlier	SUOD: Toward Scalable Unsupervised Outlier Detection	2002.03222	https://arxiv.org/abs/2002.03222v1	https://arxiv.org/pdf/2002.03222v1.pdf	https://github.com/yzhao062/SUOD	true	true	false	none
https://paperswithcode.com/paper/tackling-multi-answer-open-domain-questions	Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework	2110.08544	https://arxiv.org/abs/2110.08544v2	https://arxiv.org/pdf/2110.08544v2.pdf	https://github.com/zhihongshao/rectify	true	true	true	none
https://paperswithcode.com/paper/optimizing-readability-using-genetic	Optimizing Readability Using Genetic Algorithms	2301.00374	https://arxiv.org/abs/2301.00374v1	https://arxiv.org/pdf/2301.00374v1.pdf	https://github.com/jorge-martinez-gil/oruga	true	true	true	none
https://paperswithcode.com/paper/regularizing-variational-autoencoder-with	Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness	2110.12381	https://arxiv.org/abs/2110.12381v1	https://arxiv.org/pdf/2110.12381v1.pdf	https://github.com/smilesdzgk/du-vae	true	true	false	pytorch
https://paperswithcode.com/paper/conjugate-priors-for-count-and-rounded-data	Semiparametric discrete data regression with Monte Carlo inference and prediction	2110.12316	https://arxiv.org/abs/2110.12316v6	https://arxiv.org/pdf/2110.12316v6.pdf	https://github.com/drkowal/rSTAR	true	true	false	none
https://paperswithcode.com/paper/probabilistic-mixture-of-experts-for-1	Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning	2104.09122	https://arxiv.org/abs/2104.09122v1	https://arxiv.org/pdf/2104.09122v1.pdf	https://github.com/JieRen98/rlkit-pmoe	true	false	true	pytorch
https://paperswithcode.com/paper/uncertainty-quantification-and-deep-ensembles	Uncertainty Quantification and Deep Ensembles	2007.08792	https://arxiv.org/abs/2007.08792v4	https://arxiv.org/pdf/2007.08792v4.pdf	https://github.com/rahulrahaman/Uncertainty-Quantification-and-Deep-Ensemble	true	true	true	pytorch
https://paperswithcode.com/paper/locally-differentially-private-contextual	Locally Differentially Private (Contextual) Bandits Learning	2006.00701	https://arxiv.org/abs/2006.00701v4	https://arxiv.org/pdf/2006.00701v4.pdf	https://github.com/mindspore-ai/models/tree/master/research/rl/ldp_linucb	false	false	false	mindspore
https://paperswithcode.com/paper/sample-size-estimation-using-a-latent	Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints	1912.05258	https://arxiv.org/abs/1912.05258v1	https://arxiv.org/pdf/1912.05258v1.pdf	https://github.com/martinamcm/mult_sampsize	false	false	true	none
https://paperswithcode.com/paper/layout-and-task-aware-instruction-prompt-for	Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering	2306.00526	https://arxiv.org/abs/2306.00526v4	https://arxiv.org/pdf/2306.00526v4.pdf	https://github.com/deepopinion/anls_star_metric	false	false	true	none
https://paperswithcode.com/paper/deeper-depth-prediction-with-fully	Deeper Depth Prediction with Fully Convolutional Residual Networks	1606.00373	http://arxiv.org/abs/1606.00373v2	http://arxiv.org/pdf/1606.00373v2.pdf	https://github.com/danielzgsilva/MonoDepthAttacks	false	false	true	pytorch
https://paperswithcode.com/paper/lindblad-tomography-of-a-superconducting	Lindblad Tomography of a Superconducting Quantum Processor	2105.02338	https://arxiv.org/abs/2105.02338v5	https://arxiv.org/pdf/2105.02338v5.pdf	https://github.com/jborregaard/Lindblad_tomography	true	true	false	none
https://paperswithcode.com/paper/new-roads-to-the-small-scale-universe	New Roads to the Small-Scale Universe: Measurements of the Clustering of Matter with the High-Redshift UV Galaxy Luminosity Function	2110.13161	https://arxiv.org/abs/2110.13161v2	https://arxiv.org/pdf/2110.13161v2.pdf	https://github.com/nnssa/gallumi_public	true	true	true	none
https://paperswithcode.com/paper/the-jsonlite-package-a-practical-and	The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects	1403.2805	http://arxiv.org/abs/1403.2805v1	http://arxiv.org/pdf/1403.2805v1.pdf	https://github.com/behrica/opencpu-clj	false	false	true	none
https://paperswithcode.com/paper/robust-control-of-partially-specified-boolean	Robust Control of Partially Specified Boolean Networks	2202.13440	https://arxiv.org/abs/2202.13440v1	https://arxiv.org/pdf/2202.13440v1.pdf	https://github.com/sybila/biodivine-pbn-control	true	true	false	none
https://paperswithcode.com/paper/gallumi-a-galaxy-luminosity-function-pipeline	GALLUMI: A Galaxy Luminosity Function Pipeline for Cosmology and Astrophysics	2110.13168	https://arxiv.org/abs/2110.13168v3	https://arxiv.org/pdf/2110.13168v3.pdf	https://github.com/nnssa/gallumi_public	true	true	true	none
https://paperswithcode.com/paper/time-series-graphical-lasso-and-sparse-var	Time Series Graphical Lasso and Sparse VAR Estimation	2107.01659	https://arxiv.org/abs/2107.01659v1	https://arxiv.org/pdf/2107.01659v1.pdf	https://github.com/adallak/TSGlasso/blob/main/README.md	false	false	false	none
https://paperswithcode.com/paper/wiener-filtering-and-pure-e-b-decomposition	Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise	1906.10704	http://arxiv.org/abs/1906.10704v2	http://arxiv.org/pdf/1906.10704v2.pdf	https://github.com/doogesh/dante	false	false	true	none
https://paperswithcode.com/paper/post-hoc-domain-adaptation-via-guided-data	Post-Hoc Domain Adaptation via Guided Data Homogenization	2104.03624	https://arxiv.org/abs/2104.03624v1	https://arxiv.org/pdf/2104.03624v1.pdf	https://github.com/willisk/GDH	false	false	true	pytorch
https://paperswithcode.com/paper/mosaicking-to-distill-knowledge-distillation	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data	2110.15094	https://arxiv.org/abs/2110.15094v1	https://arxiv.org/pdf/2110.15094v1.pdf	https://github.com/zju-vipa/mosaickd	true	true	true	pytorch
https://paperswithcode.com/paper/lf-yolo-a-lighter-and-faster-yolo-for-weld	LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image	2110.15045	https://arxiv.org/abs/2110.15045v2	https://arxiv.org/pdf/2110.15045v2.pdf	https://github.com/lmomoy/lf-yolo	true	true	true	pytorch
https://paperswithcode.com/paper/data-free-network-quantization-with	Data-Free Network Quantization With Adversarial Knowledge Distillation	2005.04136	https://arxiv.org/abs/2005.04136v1	https://arxiv.org/pdf/2005.04136v1.pdf	https://github.com/zju-vipa/mosaickd	false	false	true	pytorch
https://paperswithcode.com/paper/learning-from-a-teacher-using-unlabeled-data	Learning from a Teacher using Unlabeled Data	1911.05275	https://arxiv.org/abs/1911.05275v1	https://arxiv.org/pdf/1911.05275v1.pdf	https://github.com/zju-vipa/mosaickd	false	false	true	pytorch
https://paperswithcode.com/paper/cross-domain-object-detection-by-target	Cross Domain Object Detection by Target-Perceived Dual Branch Distillation	2205.01291	https://arxiv.org/abs/2205.01291v1	https://arxiv.org/pdf/2205.01291v1.pdf	https://github.com/feobi1999/tdd	true	true	true	pytorch
https://paperswithcode.com/paper/opt-open-pre-trained-transformer-language	OPT: Open Pre-trained Transformer Language Models	2205.01068	https://arxiv.org/abs/2205.01068v4	https://arxiv.org/pdf/2205.01068v4.pdf	https://github.com/MindCode-4/code-2/tree/main/opt	false	false	false	mindspore
https://paperswithcode.com/paper/adapttext-a-novel-framework-for-domain	AdaptText: A Novel Framework for Domain-Independent Automated Sinhala Text Classification	null	https://ieeexplore.ieee.org/document/9605861	https://ieeexplore.ieee.org/document/9605861	https://github.com/yathindrakodithuwakku/AdaptText	false	false	false	none
https://paperswithcode.com/paper/towards-unifying-feature-attribution-and	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End	2011.04917	https://arxiv.org/abs/2011.04917v3	https://arxiv.org/pdf/2011.04917v3.pdf	https://github.com/interpretml/DiCE	false	false	true	tf
https://paperswithcode.com/paper/web-based-elicitation-of-human-perception-on	Human-in-the-Loop Mixup	2211.01202	https://arxiv.org/abs/2211.01202v3	https://arxiv.org/pdf/2211.01202v3.pdf	https://github.com/cambridge-mlg/hill-mixup	true	true	false	none
https://paperswithcode.com/paper/augmenting-english-adjective-senses-with	Augmenting English Adjective Senses with Supersenses	null	https://aclanthology.org/L14-1073	https://aclanthology.org/L14-1073.pdf	https://github.com/ytsvetko/adjective_supersense_classifier	true	true	false	none
https://paperswithcode.com/paper/ugc-vqa-benchmarking-blind-video-quality	UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content	2005.14354	https://arxiv.org/abs/2005.14354v2	https://arxiv.org/pdf/2005.14354v2.pdf	https://github.com/tu184044109/VIDEVAL_release	true	true	true	none
https://paperswithcode.com/paper/last-iterate-convergence-of-optimistic	Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities	2205.08446	https://arxiv.org/abs/2205.08446v2	https://arxiv.org/pdf/2205.08446v2.pdf	https://github.com/eduardgorbunov/potentials_and_last_iter_convergence_for_vips	true	true	false	none
https://paperswithcode.com/paper/random-search-and-reproducibility-for-neural	Random Search and Reproducibility for Neural Architecture Search	1902.07638	https://arxiv.org/abs/1902.07638v3	https://arxiv.org/pdf/1902.07638v3.pdf	https://github.com/microsoft/nn-meter	false	false	true	pytorch
https://paperswithcode.com/paper/cross-modal-contrastive-learning-for-1	Cross-modal Contrastive Learning for Multimodal Fake News Detection	2302.14057	https://arxiv.org/abs/2302.14057v2	https://arxiv.org/pdf/2302.14057v2.pdf	https://github.com/wishever/coolant	true	true	false	pytorch
https://paperswithcode.com/paper/it-doesnt-look-good-for-a-date-transforming	“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems	null	https://aclanthology.org/2021.emnlp-main.145	https://aclanthology.org/2021.emnlp-main.145.pdf	https://github.com/vbursztyn/critique-to-preference-emnlp2021	true	true	false	tf
https://paperswithcode.com/paper/contrastive-aligned-joint-learning-for	Contrastive Aligned Joint Learning for Multilingual Summarization	null	https://aclanthology.org/2021.findings-acl.242	https://aclanthology.org/2021.findings-acl.242.pdf	https://github.com/brxx122/calms	true	true	false	pytorch

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.