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/heterogeneity-and-instability-in-the-stable	Heterogeneity and Instability in the Stable Marriage Problem	1902.09226	http://arxiv.org/abs/1902.09226v1	http://arxiv.org/pdf/1902.09226v1.pdf	https://github.com/BAFurtado/HISMP	true	true	true	none
https://paperswithcode.com/paper/attention-based-recurrent-neural-network	Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	1609.01454	http://arxiv.org/abs/1609.01454v1	http://arxiv.org/pdf/1609.01454v1.pdf	https://github.com/pengshuang/Joint-Slot-Filling	false	false	true	pytorch
https://paperswithcode.com/paper/learning-semantics-for-visual-place	Learning Semantics for Visual Place Recognition through Multi-Scale Attention	2201.09701	https://arxiv.org/abs/2201.09701v2	https://arxiv.org/pdf/2201.09701v2.pdf	https://github.com/valeriopaolicelli/SegVPR	true	false	true	pytorch
https://paperswithcode.com/paper/sumnet-fully-convolutional-model-for-fast	SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes	1901.06920	http://arxiv.org/abs/1901.06920v1	http://arxiv.org/pdf/1901.06920v1.pdf	https://github.com/drvelmuruganb/EDD2020-Endoscopy-disease-detection-grand-challenge-2020-	false	false	true	pytorch
https://paperswithcode.com/paper/learning-symmetric-and-low-energy-locomotion	Learning Symmetric and Low-energy Locomotion	1801.08093	http://arxiv.org/abs/1801.08093v3	http://arxiv.org/pdf/1801.08093v3.pdf	https://github.com/VincentYu68/SymmetryCurriculumLocomotion	false	false	true	none
https://paperswithcode.com/paper/improved-techniques-for-training-gans	Improved Techniques for Training GANs	1606.03498	http://arxiv.org/abs/1606.03498v1	http://arxiv.org/pdf/1606.03498v1.pdf	https://github.com/chameleonTK/continual-learning-for-HAR	false	false	true	pytorch
https://paperswithcode.com/paper/a-deep-reinforced-model-for-abstractive	A Deep Reinforced Model for Abstractive Summarization	1705.04304	http://arxiv.org/abs/1705.04304v3	http://arxiv.org/pdf/1705.04304v3.pdf	https://github.com/AndreyKolomiets/News_Headline_Generation	false	false	true	tf
https://paperswithcode.com/paper/dual-signal-transformation-lstm-network-for	Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression	2005.07551	https://arxiv.org/abs/2005.07551v1	https://arxiv.org/pdf/2005.07551v1.pdf	https://github.com/breizhn/DTLN	true	true	true	tf
https://paperswithcode.com/paper/fastdvdnet-towards-real-time-video-denoising	FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation	1907.01361	https://arxiv.org/abs/1907.01361v2	https://arxiv.org/pdf/1907.01361v2.pdf	https://github.com/samyakjain0112/Video-denoising_tensorflow-core-api-2.0	false	false	true	tf
https://paperswithcode.com/paper/compression-of-deep-convolutional-neural	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	1511.06530	http://arxiv.org/abs/1511.06530v2	http://arxiv.org/pdf/1511.06530v2.pdf	https://github.com/jacobgil/pytorch-tensor-decompositions	false	false	true	pytorch
https://paperswithcode.com/paper/theory-and-computation-of-electromagnetic	Theory and computation of electromagnetic fields and thermomechanical structure interaction for systems undergoing large deformations	1803.10551	http://arxiv.org/abs/1803.10551v1	http://arxiv.org/pdf/1803.10551v1.pdf	https://github.com/afqueiruga/EMSI-2018	true	true	true	none
https://paperswithcode.com/paper/key-value-retrieval-networks-for-task	Key-Value Retrieval Networks for Task-Oriented Dialogue	1705.05414	http://arxiv.org/abs/1705.05414v2	http://arxiv.org/pdf/1705.05414v2.pdf	https://github.com/garygsw/Nav-NNDial	false	false	true	none
https://paperswithcode.com/paper/squad-100000-questions-for-machine	SQuAD: 100,000+ Questions for Machine Comprehension of Text	1606.05250	http://arxiv.org/abs/1606.05250v3	http://arxiv.org/pdf/1606.05250v3.pdf	https://github.com/chrisc36/debias	false	false	true	tf
https://paperswithcode.com/paper/variational-reformulation-of-bayesian-inverse	Variational Reformulation of Bayesian Inverse Problems	1410.5522	http://arxiv.org/abs/1410.5522v1	http://arxiv.org/pdf/1410.5522v1.pdf	https://github.com/KhurramPirov/bayesian_Inverse	false	false	true	none
https://paperswithcode.com/paper/non-stationary-bandits-and-meta-learning-with	Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms	2202.13001	https://arxiv.org/abs/2202.13001v6	https://arxiv.org/pdf/2202.13001v6.pdf	https://github.com/duongnhatthang/meta-bandit	true	false	true	none
https://paperswithcode.com/paper/implicit-quantile-networks-for-distributional	Implicit Quantile Networks for Distributional Reinforcement Learning	1806.06923	http://arxiv.org/abs/1806.06923v1	http://arxiv.org/pdf/1806.06923v1.pdf	https://github.com/V0LsTeR/DQN_heap	false	false	true	tf
https://paperswithcode.com/paper/simple-random-search-provides-a-competitive	Simple random search provides a competitive approach to reinforcement learning	1803.07055	http://arxiv.org/abs/1803.07055v1	http://arxiv.org/pdf/1803.07055v1.pdf	https://github.com/AnshMittal1811/AugmentedRandomSearch	false	false	true	none
https://paperswithcode.com/paper/reinforcement-learning-upside-down-dont	Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions	1912.02875	https://arxiv.org/abs/1912.02875v2	https://arxiv.org/pdf/1912.02875v2.pdf	https://github.com/haron1100/Upside-Down-Reinforcement-Learning	false	false	true	pytorch
https://paperswithcode.com/paper/robust-quantum-entanglement-generation-and	Robust Quantum Entanglement Generation and Generation-plus-Storage Protocols with Spin Chains	1612.05097	http://arxiv.org/abs/1612.05097v2	http://arxiv.org/pdf/1612.05097v2.pdf	https://github.com/estaremp/spinchain	false	false	true	none
https://paperswithcode.com/paper/modular-vehicle-control-for-transferring	Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs	1807.01001	http://arxiv.org/abs/1807.01001v2	http://arxiv.org/pdf/1807.01001v2.pdf	https://github.com/pmwenzel/carla-domain-adaptation	false	false	true	none
https://paperswithcode.com/paper/estimating-causal-effects-in-the-presence-of	Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	2006.12269	https://arxiv.org/abs/2006.12269v4	https://arxiv.org/pdf/2006.12269v4.pdf	https://github.com/FMenchetti/CausalMBSTS	false	false	true	none
https://paperswithcode.com/paper/higan-cosmic-neutral-hydrogen-with-generative	HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks	1904.12846	http://arxiv.org/abs/1904.12846v1	http://arxiv.org/pdf/1904.12846v1.pdf	https://github.com/jjzamudio/HIGAN	true	true	true	pytorch
https://paperswithcode.com/paper/multi-view-low-rank-sparse-subspace	Multi-view Low-rank Sparse Subspace Clustering	1708.08732	http://arxiv.org/abs/1708.08732v1	http://arxiv.org/pdf/1708.08732v1.pdf	https://github.com/mbrbic/Multi-view-LRSSC	false	false	true	none
https://paperswithcode.com/paper/rsa-byzantine-robust-stochastic-aggregation	RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets	1811.03761	https://arxiv.org/abs/1811.03761v2	https://arxiv.org/pdf/1811.03761v2.pdf	https://github.com/Liepill/RSA-Byzantine	true	true	true	none
https://paperswithcode.com/paper/neural-spline-flows	Neural Spline Flows	1906.04032	https://arxiv.org/abs/1906.04032v2	https://arxiv.org/pdf/1906.04032v2.pdf	https://github.com/johnpjust/nsf	false	false	true	pytorch
https://paperswithcode.com/paper/speeding-up-convolutional-neural-networks	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	1412.6553	http://arxiv.org/abs/1412.6553v3	http://arxiv.org/pdf/1412.6553v3.pdf	https://github.com/jacobgil/pytorch-tensor-decompositions	false	false	true	pytorch
https://paperswithcode.com/paper/generating-adversarial-examples-with	Generating Adversarial Examples with Adversarial Networks	1801.02610	http://arxiv.org/abs/1801.02610v5	http://arxiv.org/pdf/1801.02610v5.pdf	https://github.com/abahram77/mnistChallenge	false	false	true	tf
https://paperswithcode.com/paper/the-cot-collection-improving-zero-shot-and	The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning	2305.14045	https://arxiv.org/abs/2305.14045v2	https://arxiv.org/pdf/2305.14045v2.pdf	https://github.com/kaistai/cot-collection	true	true	true	pytorch
https://paperswithcode.com/paper/mid-flight-propeller-failure-detection-and	Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning	2002.11564	https://arxiv.org/abs/2002.11564v2	https://arxiv.org/pdf/2002.11564v2.pdf	https://github.com/Aakriti05/Prop-Fail-Detect-Control-RL	true	true	true	tf
https://paperswithcode.com/paper/quantum-equilibrium-disequilibrium-asset	"Quantum Equilibrium-Disequilibrium": Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons	1808.03607	http://arxiv.org/abs/1808.03607v2	http://arxiv.org/pdf/1808.03607v2.pdf	https://github.com/gowen100/Machine-Learning	false	false	true	tf
https://paperswithcode.com/paper/active-learning-for-decision-making-from	Active Learning for Decision-Making from Imbalanced Observational Data	1904.05268	https://arxiv.org/abs/1904.05268v2	https://arxiv.org/pdf/1904.05268v2.pdf	https://github.com/IirisSundin/active-learning-for-decision-making	false	false	true	none
https://paperswithcode.com/paper/deep-learning-with-differential-privacy	Deep Learning with Differential Privacy	1607.00133	http://arxiv.org/abs/1607.00133v2	http://arxiv.org/pdf/1607.00133v2.pdf	https://github.com/sunblaze-ucb/dpml-benchmark	false	false	true	tf
https://paperswithcode.com/paper/graph-attention-networks	Graph Attention Networks	1710.10903	http://arxiv.org/abs/1710.10903v3	http://arxiv.org/pdf/1710.10903v3.pdf	https://github.com/subercui/pyGConvAT	false	false	true	pytorch
https://paperswithcode.com/paper/interpretability-beyond-feature-attribution	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	1711.11279	http://arxiv.org/abs/1711.11279v5	http://arxiv.org/pdf/1711.11279v5.pdf	https://github.com/pytorch/captum	false	false	false	pytorch
https://paperswithcode.com/paper/variance-reduction-in-sgd-by-distributed	Variance Reduction in SGD by Distributed Importance Sampling	1511.06481	http://arxiv.org/abs/1511.06481v7	http://arxiv.org/pdf/1511.06481v7.pdf	https://github.com/idiap/importance-sampling	false	false	true	tf
https://paperswithcode.com/paper/text-classification-with-word-embedding	Text classification with word embedding regularization and soft similarity measure	2003.05019	https://arxiv.org/abs/2003.05019v1	https://arxiv.org/pdf/2003.05019v1.pdf	https://github.com/MIR-MU/regularized-embeddings	true	true	true	none
https://paperswithcode.com/paper/osvidcap-a-framework-for-the-simultaneous	OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario	null	https://ieeexplore.ieee.org/abstract/document/9552885	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9552885	https://github.com/bioinfolabic/OSVidCap	true	false	false	none
https://paperswithcode.com/paper/fully-convolutional-networks-for-semantic-1	Fully Convolutional Networks for Semantic Segmentation	1411.4038	http://arxiv.org/abs/1411.4038v2	http://arxiv.org/pdf/1411.4038v2.pdf	https://github.com/SethEBaldwin/FCN	false	false	true	tf
https://paperswithcode.com/paper/multi-agent-actor-critic-for-mixed	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	1706.02275	https://arxiv.org/abs/1706.02275v4	https://arxiv.org/pdf/1706.02275v4.pdf	https://github.com/thechrisyoon08/marl	false	false	true	pytorch
https://paperswithcode.com/paper/inductive-document-network-embedding-with	Inductive Document Network Embedding with Topic-Word Attention	2001.03369	https://arxiv.org/abs/2001.03369v1	https://arxiv.org/pdf/2001.03369v1.pdf	https://github.com/brochier/idne	true	true	true	none
https://paperswithcode.com/paper/generation-of-point-sets-by-convex	Generation of point sets by convex optimization for interpolation in reproducing kernel Hilbert spaces	1810.08505	http://arxiv.org/abs/1810.08505v1	http://arxiv.org/pdf/1810.08505v1.pdf	https://github.com/KeTanakaN/mat_points_interp_rkhs	true	true	true	none
https://paperswithcode.com/paper/sq-vae-variational-bayes-on-discrete	SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization	2205.07547	https://arxiv.org/abs/2205.07547v2	https://arxiv.org/pdf/2205.07547v2.pdf	https://github.com/sony/sqvae	true	true	true	pytorch
https://paperswithcode.com/paper/improved-lower-bounds-for-queen-s-domination	Improved lower bounds for Queen's Domination via an exactly-solvable relaxation	2304.06620	https://arxiv.org/abs/2304.06620v1	https://arxiv.org/pdf/2304.06620v1.pdf	https://github.com/architkarandikar/queens-domination	true	true	false	none
https://paperswithcode.com/paper/hierarchical-reinforcement-learning-with-5	Hierarchical Reinforcement Learning with Timed Subgoals	2112.03100	https://arxiv.org/abs/2112.03100v1	https://arxiv.org/pdf/2112.03100v1.pdf	https://github.com/martius-lab/hits	true	true	false	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/paper-cat/Sentence-Classifications	false	false	true	tf
https://paperswithcode.com/paper/mimics-a-large-scale-data-collection-for	MIMICS: A Large-Scale Data Collection for Search Clarification	2006.10174	https://arxiv.org/abs/2006.10174v1	https://arxiv.org/pdf/2006.10174v1.pdf	https://github.com/microsoft/MIMICS	true	true	true	none
https://paperswithcode.com/paper/a-low-cost-cryogenic-temperature-measurement	A low-cost cryogenic temperature measurement system using Arduino microcontroller	1910.09111	https://arxiv.org/abs/1910.09111v1	https://arxiv.org/pdf/1910.09111v1.pdf	https://github.com/kinetic-orange/Low-Cost-Cryogenic-Temperature-Measurement-System	false	false	true	none
https://paperswithcode.com/paper/betrayed-by-captions-joint-caption-grounding	Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation	2301.00805	https://arxiv.org/abs/2301.00805v2	https://arxiv.org/pdf/2301.00805v2.pdf	https://github.com/jianzongwu/betrayed-by-captions	true	true	true	pytorch
https://paperswithcode.com/paper/continuous-control-with-deep-reinforcement	Continuous control with deep reinforcement learning	1509.02971	https://arxiv.org/abs/1509.02971v6	https://arxiv.org/pdf/1509.02971v6.pdf	https://github.com/susan-amin/SparseBaseline1	false	false	true	pytorch
https://paperswithcode.com/paper/parameter-space-noise-for-exploration	Parameter Space Noise for Exploration	1706.01905	http://arxiv.org/abs/1706.01905v2	http://arxiv.org/pdf/1706.01905v2.pdf	https://github.com/susan-amin/SparseBaseline1	false	false	true	pytorch
https://paperswithcode.com/paper/soft-actor-critic-off-policy-maximum-entropy	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	1801.01290	http://arxiv.org/abs/1801.01290v2	http://arxiv.org/pdf/1801.01290v2.pdf	https://github.com/susan-amin/SparseBaseline1	false	false	true	pytorch
https://paperswithcode.com/paper/a-graph-enhanced-click-model-for-web-search-1	A Graph-Enhanced Click Model for Web Search	2206.08621	https://arxiv.org/abs/2206.08621v2	https://arxiv.org/pdf/2206.08621v2.pdf	https://github.com/chiangel/graphcm	true	true	false	pytorch
https://paperswithcode.com/paper/distilling-the-knowledge-in-a-neural-network	Distilling the Knowledge in a Neural Network	1503.02531	http://arxiv.org/abs/1503.02531v1	http://arxiv.org/pdf/1503.02531v1.pdf	https://github.com/robertjkeck2/EmoNet	false	false	true	none
https://paperswithcode.com/paper/transferability-of-natural-language-inference	Transferability of Natural Language Inference to Biomedical Question Answering	2007.00217	https://arxiv.org/abs/2007.00217v4	https://arxiv.org/pdf/2007.00217v4.pdf	https://github.com/dmis-lab/bioasq8b	true	true	true	tf
https://paperswithcode.com/paper/deep-learning-to-represent-sub-grid-processes	Deep learning to represent sub-grid processes in climate models	1806.04731	http://arxiv.org/abs/1806.04731v3	http://arxiv.org/pdf/1806.04731v3.pdf	https://github.com/jordanott/CBRAIN-CAM	false	false	true	tf
https://paperswithcode.com/paper/hololens-2-research-mode-as-a-tool-for	HoloLens 2 Research Mode as a Tool for Computer Vision Research	2008.11239	https://arxiv.org/abs/2008.11239v1	https://arxiv.org/pdf/2008.11239v1.pdf	https://github.com/microsoft/HoloLens2ForCV	true	true	true	none
https://paperswithcode.com/paper/mcnntunes-tuning-shower-monte-carlo	MCNNTUNES: tuning Shower Monte Carlo generators with machine learning	2010.02213	https://arxiv.org/abs/2010.02213v1	https://arxiv.org/pdf/2010.02213v1.pdf	https://github.com/N3PDF/mcnntunes	true	true	true	tf
https://paperswithcode.com/paper/counterfactual-variable-control-for-robust	Counterfactual Variable Control for Robust and Interpretable Question Answering	2010.05581	https://arxiv.org/abs/2010.05581v1	https://arxiv.org/pdf/2010.05581v1.pdf	https://github.com/PluviophileYU/CVC-QA	true	true	true	pytorch
https://paperswithcode.com/paper/unsuperpoint-end-to-end-unsupervised-interest	UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor	1907.04011	https://arxiv.org/abs/1907.04011v1	https://arxiv.org/pdf/1907.04011v1.pdf	https://github.com/kimphys/UnsuperPoint.pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/grzegorczyk-sequence	Grzegorczyk sequence	1811.09958	https://arxiv.org/abs/1811.09958v1	https://arxiv.org/pdf/1811.09958v1.pdf	https://github.com/koteitan/grzeseq	false	false	true	none
https://paperswithcode.com/paper/gaussianizing-the-earth-multidimensional	Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis	2010.06476	https://arxiv.org/abs/2010.06476v2	https://arxiv.org/pdf/2010.06476v2.pdf	https://github.com/IPL-UV/rbig	true	false	true	none
https://paperswithcode.com/paper/neural-network-based-generation-of-1	Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics	2211.11580	https://arxiv.org/abs/2211.11580v3	https://arxiv.org/pdf/2211.11580v3.pdf	https://github.com/cgranerob/nn-turb	true	true	false	pytorch
https://paperswithcode.com/paper/adversarial-turing-patterns-from-cellular	Adversarial Turing Patterns from Cellular Automata	2011.09393	https://arxiv.org/abs/2011.09393v3	https://arxiv.org/pdf/2011.09393v3.pdf	https://github.com/NurislamT/advTuring	true	true	true	none
https://paperswithcode.com/paper/relating-reading-visualization-and-coding	Relating Reading, Visualization, and Coding forNew Programmers: A Neuroimaging Study	2102.12376	https://arxiv.org/abs/2102.12376v1	https://arxiv.org/pdf/2102.12376v1.pdf	https://github.com/CelloCorgi/ICSE_fNIRS2021	true	true	true	none
https://paperswithcode.com/paper/synchronous-counting-and-computational	Synchronous Counting and Computational Algorithm Design	1304.5719	https://arxiv.org/abs/1304.5719v2	https://arxiv.org/pdf/1304.5719v2.pdf	https://github.com/suomela/counting	true	true	true	none
https://paperswithcode.com/paper/self-critical-sequence-training-for-image	Self-critical Sequence Training for Image Captioning	1612.00563	http://arxiv.org/abs/1612.00563v2	http://arxiv.org/pdf/1612.00563v2.pdf	https://github.com/FJSam/SelfCritical_ImageCaptioning	false	false	true	pytorch
https://paperswithcode.com/paper/katie-for-parton-level-event-generation-with	KaTie: for parton-level event generation with k_T-dependent initial states	1611.00680	http://arxiv.org/abs/1611.00680v3	http://arxiv.org/pdf/1611.00680v3.pdf	https://bitbucket.org/hameren/katie	true	true	true	none
https://paperswithcode.com/paper/searching-for-electromagnetic-counterpart-of	Searching for electromagnetic counterpart of LIGO gravitational waves in the Fermi GBM data with ADWO	1603.06611	http://arxiv.org/abs/1603.06611v2	http://arxiv.org/pdf/1603.06611v2.pdf	https://github.com/zbagoly/ADWO	true	true	true	none
https://paperswithcode.com/paper/asymptotics-for-the-late-arrivals-problem	Asymptotics for the Late Arrivals Problem	1302.1999	http://arxiv.org/abs/1302.1999v6	http://arxiv.org/pdf/1302.1999v6.pdf	https://github.com/clancia/EDA	true	true	true	none
https://paperswithcode.com/paper/robust-watermarking-of-neural-network-with	Robust Watermarking of Neural Network with Exponential Weighting	1901.06151	http://arxiv.org/abs/1901.06151v1	http://arxiv.org/pdf/1901.06151v1.pdf	https://github.com/dunky11/exponential-weighting-watermarking	false	false	true	tf
https://paperswithcode.com/paper/deeppicker-a-deep-learning-approach-for-fully	DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM	1605.01838	http://arxiv.org/abs/1605.01838v1	http://arxiv.org/pdf/1605.01838v1.pdf	https://github.com/nejyeah/DeepPicker-python	false	false	true	tf
https://paperswithcode.com/paper/global-optimality-in-model-predictive-control	Global optimality in model predictive control via hidden invariant convexity	2007.07062	https://arxiv.org/abs/2007.07062v2	https://arxiv.org/pdf/2007.07062v2.pdf	https://github.com/jbaayen/homotopy-example	false	false	true	none
https://paperswithcode.com/paper/combinatorial-reductions-for-the-stanley	Combinatorial Reductions for the Stanley Depth of $I$ and $S/I$	1702.00781	http://arxiv.org/abs/1702.00781v3	http://arxiv.org/pdf/1702.00781v3.pdf	https://github.com/mitchkeller/stanley-depth	true	true	true	none
https://paperswithcode.com/paper/real-time-machine-learning-the-missing-pieces	Real-Time Machine Learning: The Missing Pieces	1703.03924	http://arxiv.org/abs/1703.03924v2	http://arxiv.org/pdf/1703.03924v2.pdf	https://github.com/AmeerHajAli/ray2	false	false	true	tf
https://paperswithcode.com/paper/tune-a-research-platform-for-distributed	Tune: A Research Platform for Distributed Model Selection and Training	1807.05118	http://arxiv.org/abs/1807.05118v1	http://arxiv.org/pdf/1807.05118v1.pdf	https://github.com/AmeerHajAli/ray2	false	false	true	tf
https://paperswithcode.com/paper/tf-locoformer-transformer-with-local-modeling	TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement	2408.03440	https://arxiv.org/abs/2408.03440v1	https://arxiv.org/pdf/2408.03440v1.pdf	https://github.com/merlresearch/tf-locoformer	true	false	false	pytorch
https://paperswithcode.com/paper/word-alignment-by-fine-tuning-embeddings-on	Word Alignment by Fine-tuning Embeddings on Parallel Corpora	2101.08231	https://arxiv.org/abs/2101.08231v4	https://arxiv.org/pdf/2101.08231v4.pdf	https://github.com/BramVanroy/astred	false	false	true	pytorch
https://paperswithcode.com/paper/functional-central-limit-theorems-for-rough	Functional central limit theorems for rough volatility	1711.03078	https://arxiv.org/abs/1711.03078v4	https://arxiv.org/pdf/1711.03078v4.pdf	https://github.com/amuguruza/RoughFCLT	true	true	true	none
https://paperswithcode.com/paper/realtime-multi-person-2d-pose-estimation	Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields	1611.08050	http://arxiv.org/abs/1611.08050v2	http://arxiv.org/pdf/1611.08050v2.pdf	https://github.com/saadbutt32/Conversion-of-Pakistan-Sign-Languag-into-Text-and-Speech-using-OpenPose-and-Machine-Learning	false	false	true	none
https://paperswithcode.com/paper/preventing-extreme-polarization-of-political	Preventing Extreme Polarization of Political Attitudes	2103.06492	https://arxiv.org/abs/2103.06492v2	https://arxiv.org/pdf/2103.06492v2.pdf	https://github.com/jdaymude/AttractionRepulsionModel	true	true	true	none
https://paperswithcode.com/paper/fast-meningioma-segmentation-in-t1-weighted	Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture	2010.07002	https://arxiv.org/abs/2010.07002v1	https://arxiv.org/pdf/2010.07002v1.pdf	https://github.com/andreped/PLS-Net	false	false	true	pytorch
https://paperswithcode.com/paper/removing-word-level-spurious-alignment	Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning	2104.13872	https://arxiv.org/abs/2104.13872v2	https://arxiv.org/pdf/2104.13872v2.pdf	https://github.com/ukyh/RemovingSpuriousAlignment	true	true	true	pytorch
https://paperswithcode.com/paper/radioactive-data-tracing-through-training	Radioactive data: tracing through training	2002.00937	https://arxiv.org/abs/2002.00937v1	https://arxiv.org/pdf/2002.00937v1.pdf	https://github.com/facebookresearch/radioactive_data	true	false	true	pytorch
https://paperswithcode.com/paper/pricing-and-energy-trading-in-peer-to-peer	Pricing and Energy Trading in Peer-to-peer Zero Marginal-cost Microgrids	2103.13530	https://arxiv.org/abs/2103.13530v4	https://arxiv.org/pdf/2103.13530v4.pdf	https://github.com/Energy-MAC/P2P-Pricing-Paper	true	true	true	none
https://paperswithcode.com/paper/network-clique-cover-approximation-to-analyze	Network clique cover approximation to analyze complex contagions through group interactions	2101.03618	https://arxiv.org/abs/2101.03618v3	https://arxiv.org/pdf/2101.03618v3.pdf	https://github.com/giubuig/DisjointCliqueCover.jl	true	true	true	none
https://paperswithcode.com/paper/controlling-for-unknown-confounders-in	Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	2006.13135	https://arxiv.org/abs/2006.13135v4	https://arxiv.org/pdf/2006.13135v4.pdf	https://github.com/ai-med/causal-effects-in-alzheimers-continuum	true	true	true	none
https://paperswithcode.com/paper/structured-ensembles-an-approach-to-reduce	Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods	2105.02551	https://arxiv.org/abs/2105.02551v2	https://arxiv.org/pdf/2105.02551v2.pdf	https://github.com/jaryP/StructuredEnsemble	true	true	true	pytorch
https://paperswithcode.com/paper/benchmarking-graph-neural-networks	Benchmarking Graph Neural Networks	2003.00982	https://arxiv.org/abs/2003.00982v5	https://arxiv.org/pdf/2003.00982v5.pdf	https://github.com/PaddlePaddle/PGL/tree/master/examples/GaAN	false	false	true	paddle
https://paperswithcode.com/paper/a-feasibility-study-of-a-hyperparameter	A hyperparameter-tuning approach to automated inverse planning	2105.07024	https://arxiv.org/abs/2105.07024v2	https://arxiv.org/pdf/2105.07024v2.pdf	https://github.com/kels271828/RayBay	true	false	true	none
https://paperswithcode.com/paper/xai-n-sensor-based-robot-navigation-using	XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees	2104.10818	https://arxiv.org/abs/2104.10818v2	https://arxiv.org/pdf/2104.10818v2.pdf	https://github.com/AMR-/JackalCrowdEnv	true	true	true	none
https://paperswithcode.com/paper/soft-actor-critic-for-discrete-action	Soft Actor-Critic for Discrete Action Settings	1910.07207	https://arxiv.org/abs/1910.07207v2	https://arxiv.org/pdf/1910.07207v2.pdf	https://github.com/Bigpig4396/PyTorch-Soft-Actor-Critic-SAC	false	false	true	pytorch
https://paperswithcode.com/paper/sample-condensation-in-online-continual	Sample Condensation in Online Continual Learning	2206.11849	https://arxiv.org/abs/2206.11849v1	https://arxiv.org/pdf/2206.11849v1.pdf	https://github.com/MattiaSangermano/OLCGM	true	true	false	pytorch
https://paperswithcode.com/paper/a-categorical-archive-of-chatgpt-failures	A Categorical Archive of ChatGPT Failures	2302.03494	https://arxiv.org/abs/2302.03494v8	https://arxiv.org/pdf/2302.03494v8.pdf	https://github.com/aliborji/chatgpt_failures	true	true	true	none
https://paperswithcode.com/paper/the-impact-of-technologies-in-political	The Impact of Technologies in Political Campaigns	1909.07644	http://arxiv.org/abs/1909.07644v1	http://arxiv.org/pdf/1909.07644v1.pdf	https://github.com/moritzhoferer/moritzhoferer	false	false	true	none
https://paperswithcode.com/paper/binary-search-trees-for-generalized	Binary search trees for generalized measurement	0712.2665	https://arxiv.org/abs/0712.2665v1	https://arxiv.org/pdf/0712.2665v1.pdf	https://github.com/petr-ivashkov/dynamic-circuit-povms	false	false	true	none
https://paperswithcode.com/paper/leveraging-local-distributions-in-mendelian	Leveraging Local Distributions in Mendelian Randomization: Uncertain Opinions are Invalid	2402.02329	https://arxiv.org/abs/2402.02329v1	https://arxiv.org/pdf/2402.02329v1.pdf	https://github.com/saili0103/mr-local	true	true	false	none
https://paperswithcode.com/paper/one-model-packs-thousands-of-items-with	One model Packs Thousands of Items with Recurrent Conditional Query Learning	2111.06726	https://arxiv.org/abs/2111.06726v1	https://arxiv.org/pdf/2111.06726v1.pdf	https://github.com/dongdongbh/RCQL	true	true	false	pytorch
https://paperswithcode.com/paper/able-nerf-attention-based-rendering-with	ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field	2303.13817	https://arxiv.org/abs/2303.13817v1	https://arxiv.org/pdf/2303.13817v1.pdf	https://github.com/tangzj/able-nerf	true	true	false	pytorch
https://paperswithcode.com/paper/spontaneous-conformal-symmetry-breaking-and-a	Spontaneous conformal symmetry breaking and a massless Wu-Yang monopole	1707.05325	http://arxiv.org/abs/1707.05325v1	http://arxiv.org/pdf/1707.05325v1.pdf	https://github.com/gillioz/SUSY-algebra	false	false	true	none
https://paperswithcode.com/paper/warm-starting-cma-es-for-hyperparameter	Warm Starting CMA-ES for Hyperparameter Optimization	2012.06932	https://arxiv.org/abs/2012.06932v1	https://arxiv.org/pdf/2012.06932v1.pdf	https://github.com/c-bata/benchmark-warm-starting-cmaes	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.