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/gptfuzzer-red-teaming-large-language-models	GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts	2309.10253	https://arxiv.org/abs/2309.10253v4	https://arxiv.org/pdf/2309.10253v4.pdf	https://github.com/yang-yan-yang-yan/sop	false	false	true	none
https://paperswithcode.com/paper/bts-bridging-text-and-sound-modalities-for	BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification	2406.06786	https://arxiv.org/abs/2406.06786v2	https://arxiv.org/pdf/2406.06786v2.pdf	https://github.com/kaen2891/bts	true	true	true	pytorch
https://paperswithcode.com/paper/lightweight-rgb-d-salient-object-detection	Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective	2505.04758	https://arxiv.org/abs/2505.04758v1	https://arxiv.org/pdf/2505.04758v1.pdf	https://github.com/duan-song/SATNet	true	false	true	pytorch
https://paperswithcode.com/paper/omnigenbench-a-benchmark-for-omnipotent	OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks	2505.18775	https://arxiv.org/abs/2505.18775v1	https://arxiv.org/pdf/2505.18775v1.pdf	https://github.com/emilia113/omnigenbench	true	true	true	paddle
https://paperswithcode.com/paper/inducing-programmatic-skills-for-agentic	Inducing Programmatic Skills for Agentic Tasks	2504.06821	https://arxiv.org/abs/2504.06821v1	https://arxiv.org/pdf/2504.06821v1.pdf	https://github.com/zorazrw/agent-skill-induction	true	true	false	none
https://paperswithcode.com/paper/towards-realistic-low-light-image-enhancement	Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling	2504.12204	https://arxiv.org/abs/2504.12204v1	https://arxiv.org/pdf/2504.12204v1.pdf	https://github.com/smbu-mm/llie	true	true	true	pytorch
https://paperswithcode.com/paper/streamline-without-sacrifice-squeeze-out	Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM	2505.15816	https://arxiv.org/abs/2505.15816v1	https://arxiv.org/pdf/2505.15816v1.pdf	https://github.com/penghao-wu/proxyv	true	true	true	pytorch
https://paperswithcode.com/paper/fuxictr-an-open-benchmark-for-click-through	BARS-CTR: Open Benchmarking for Click-Through Rate Prediction	2009.05794	https://arxiv.org/abs/2009.05794v5	https://arxiv.org/pdf/2009.05794v5.pdf	https://github.com/reczoo/FuxiCTR	false	false	true	pytorch
https://paperswithcode.com/paper/a-survey-on-multilingual-mental-disorders	A Survey on Multilingual Mental Disorders Detection from Social Media Data	2505.15556	https://arxiv.org/abs/2505.15556v1	https://arxiv.org/pdf/2505.15556v1.pdf	https://github.com/bucuram/multilingual-mental-health-datasets-nlp	true	false	true	tf
https://paperswithcode.com/paper/openseg-r-improving-open-vocabulary	OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning	2505.16974	https://arxiv.org/abs/2505.16974v1	https://arxiv.org/pdf/2505.16974v1.pdf	https://github.com/hanzy1996/openseg-r	true	true	true	pytorch
https://paperswithcode.com/paper/edubench-a-comprehensive-benchmarking-dataset	EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios	2505.16160	https://arxiv.org/abs/2505.16160v1	https://arxiv.org/pdf/2505.16160v1.pdf	https://github.com/ybai-nlp/edubench	true	true	true	none
https://paperswithcode.com/paper/superposition-of-prs-and-pdsch-for-isac	Superposition of PRS and PDSCH for ISAC System: Spectral Efficiency Enhancement and Range Ambiguity Elimination	2409.20420	https://arxiv.org/abs/2409.20420v1	https://arxiv.org/pdf/2409.20420v1.pdf	https://github.com/Keivan-Khosroshahi/Superposition-of-PRS-and-PDSCH-for-ISAC-system	false	false	false	none
https://paperswithcode.com/paper/simple-radiology-vllm-test-time-scaling-with	Simple Radiology VLLM Test-time Scaling with Thought Graph Traversal	2506.11989	https://arxiv.org/abs/2506.11989v1	https://arxiv.org/pdf/2506.11989v1.pdf	https://github.com/glerium/Thought-Graph-Traversal	true	true	false	pytorch
https://paperswithcode.com/paper/optimal-transport-based-identity-matching-for	Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition	2209.12172	https://arxiv.org/abs/2209.12172v1	https://arxiv.org/pdf/2209.12172v1.pdf	https://github.com/tomas-gajarsky/facetorch	false	false	true	pytorch
https://paperswithcode.com/paper/synergy-between-3dmm-and-3d-landmarks-for	Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry	2110.09772	https://arxiv.org/abs/2110.09772v3	https://arxiv.org/pdf/2110.09772v3.pdf	https://github.com/tomas-gajarsky/facetorch	false	false	true	pytorch
https://paperswithcode.com/paper/adaface-quality-adaptive-margin-for-face	AdaFace: Quality Adaptive Margin for Face Recognition	2204.00964	https://arxiv.org/abs/2204.00964v2	https://arxiv.org/pdf/2204.00964v2.pdf	https://github.com/tomas-gajarsky/facetorch	false	false	true	pytorch
https://paperswithcode.com/paper/softcot-soft-chain-of-thought-for-efficient	SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs	2502.12134	https://arxiv.org/abs/2502.12134v1	https://arxiv.org/pdf/2502.12134v1.pdf	https://github.com/xuyige/softcot	true	false	true	pytorch
https://paperswithcode.com/paper/eager-llm-enhancing-large-language-models-as	EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration	2502.14735	https://arxiv.org/abs/2502.14735v1	https://arxiv.org/pdf/2502.14735v1.pdf	https://github.com/Indolent-Kawhi/EAGER-LLM	true	false	true	pytorch
https://paperswithcode.com/paper/camal-optimizing-lsm-trees-via-active	CAMAL: Optimizing LSM-trees via Active Learning	2409.15130	https://arxiv.org/abs/2409.15130v1	https://arxiv.org/pdf/2409.15130v1.pdf	https://github.com/NTU-Siqiang-Group/CAMAL	true	false	false	none
https://paperswithcode.com/paper/mitigating-reward-over-optimization-in-direct	Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling	2506.08681	https://arxiv.org/abs/2506.08681v2	https://arxiv.org/pdf/2506.08681v2.pdf	https://github.com/duyhominhnguyen/is-daas	true	true	false	pytorch
https://paperswithcode.com/paper/data-types-as-a-more-ergonomic-frontend-for	Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming	2210.04826	https://arxiv.org/abs/2210.04826v1	https://arxiv.org/pdf/2210.04826v1.pdf	https://github.com/alcides/geneticengine	true	true	true	none
https://paperswithcode.com/paper/mac-an-efficient-gradient-preconditioning	MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature	2506.08464	https://arxiv.org/abs/2506.08464v1	https://arxiv.org/pdf/2506.08464v1.pdf	https://github.com/hseung88/mac	true	true	false	pytorch
https://paperswithcode.com/paper/discovering-hierarchical-latent-capabilities	Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning	2506.10378	https://arxiv.org/abs/2506.10378v1	https://arxiv.org/pdf/2506.10378v1.pdf	https://github.com/hlzhang109/causal-eval	true	true	false	pytorch
https://paperswithcode.com/paper/videochat-r1-enhancing-spatio-temporal	VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning	2504.06958	https://arxiv.org/abs/2504.06958v2	https://arxiv.org/pdf/2504.06958v2.pdf	https://github.com/opengvlab/videochat-r1	false	false	true	pytorch
https://paperswithcode.com/paper/tunizi-a-tunisian-arabizi-sentiment-analysis	TUNIZI: a Tunisian Arabizi sentiment analysis Dataset	2004.14303	https://arxiv.org/abs/2004.14303v1	https://arxiv.org/pdf/2004.14303v1.pdf	https://github.com/ivul-kaust/mole	false	false	true	none
https://paperswithcode.com/paper/mole-metadata-extraction-and-validation-in	MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs	2505.19800	https://arxiv.org/abs/2505.19800v1	https://arxiv.org/pdf/2505.19800v1.pdf	https://github.com/ivul-kaust/mole	true	true	true	none
https://paperswithcode.com/paper/recommendations-and-reporting-checklist-for	Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations	2506.13776	https://arxiv.org/abs/2506.13776v1	https://arxiv.org/pdf/2506.13776v1.pdf	https://github.com/kevinlwei/human-baselines	true	true	false	none
https://paperswithcode.com/paper/political-neutrality-in-ai-is-impossible-but	Political Neutrality in AI Is Impossible- But Here Is How to Approximate It	2503.05728	https://arxiv.org/abs/2503.05728v2	https://arxiv.org/pdf/2503.05728v2.pdf	https://github.com/jfisher52/approximation_political_neutrality	true	true	true	none
https://paperswithcode.com/paper/bayesian-variable-selection-in-a-cox	Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior	2506.06233	https://arxiv.org/abs/2506.06233v1	https://arxiv.org/pdf/2506.06233v1.pdf	https://github.com/yunqiyang0215/survival-susie	true	true	false	none
https://paperswithcode.com/paper/generalized-interpolating-discrete-diffusion	Generalized Interpolating Discrete Diffusion	2503.04482	https://arxiv.org/abs/2503.04482v1	https://arxiv.org/pdf/2503.04482v1.pdf	https://github.com/dvruette/gidd	true	true	true	pytorch
https://paperswithcode.com/paper/zeitenwenden-detecting-changes-in-the-german	Zeitenwenden: Detecting changes in the German political discourse	2410.17960	https://arxiv.org/abs/2410.17960v1	https://arxiv.org/pdf/2410.17960v1.pdf	https://github.com/JonasRieger/topicalchanges	true	false	false	none
https://paperswithcode.com/paper/simulating-lepton-number-violation-induced-by	Simulating lepton number violation induced by heavy neutrino-antineutrino oscillations at colliders	2210.10738	https://arxiv.org/abs/2210.10738v2	https://arxiv.org/pdf/2210.10738v2.pdf	https://github.com/heavy-neutral-leptons/pspss	true	true	true	none
https://paperswithcode.com/paper/beyond-lepton-number-violation-at-the-hl-lhc	Beyond lepton number violation at the HL-LHC: Resolving heavy neutrino-antineutrino oscillations	2212.00562	https://arxiv.org/abs/2212.00562v2	https://arxiv.org/pdf/2212.00562v2.pdf	https://github.com/heavy-neutral-leptons/pspss	true	true	true	none
https://paperswithcode.com/paper/heavy-neutrino-antineutrino-oscillations-at	Heavy neutrino-antineutrino oscillations at the FCC-ee	2308.07297	https://arxiv.org/abs/2308.07297v1	https://arxiv.org/pdf/2308.07297v1.pdf	https://github.com/heavy-neutral-leptons/pspss	true	true	true	none
https://paperswithcode.com/paper/mobilenetv2-inverted-residuals-and-linear	MobileNetV2: Inverted Residuals and Linear Bottlenecks	1801.04381	http://arxiv.org/abs/1801.04381v4	http://arxiv.org/pdf/1801.04381v4.pdf	https://github.com/duan-song/SATNet	false	false	true	pytorch
https://paperswithcode.com/paper/depth-anything-unleashing-the-power-of-large	Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data	2401.10891	https://arxiv.org/abs/2401.10891v2	https://arxiv.org/pdf/2401.10891v2.pdf	https://github.com/duan-song/SATNet	false	false	true	pytorch
https://paperswithcode.com/paper/maximum-entropy-population-based-training-for-1	Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination	2112.11701	https://arxiv.org/abs/2112.11701v3	https://arxiv.org/pdf/2112.11701v3.pdf	https://github.com/PKU-Alignment/ProAgent	false	false	true	pytorch
https://paperswithcode.com/paper/nilmformer-non-intrusive-load-monitoring-that	NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity	2506.05880	https://arxiv.org/abs/2506.05880v1	https://arxiv.org/pdf/2506.05880v1.pdf	https://github.com/adrienpetralia/nilmformer	true	true	true	pytorch
https://paperswithcode.com/paper/a-novel-sampling-theorem-on-the-rotation	A novel sampling theorem on the rotation group	1508.03101	https://arxiv.org/abs/1508.03101v2	https://arxiv.org/pdf/1508.03101v2.pdf	https://github.com/astro-informatics/so3	false	false	true	none
https://paperswithcode.com/paper/open-captchaworld-a-comprehensive-web-based	Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents	2505.24878	https://arxiv.org/abs/2505.24878v1	https://arxiv.org/pdf/2505.24878v1.pdf	https://github.com/metaagentx/opencaptchaworld	true	true	true	none
https://paperswithcode.com/paper/dualthor-a-dual-arm-humanoid-simulation	DualTHOR: A Dual-Arm Humanoid Simulation Platform for Contingency-Aware Planning	2506.16012	https://arxiv.org/abs/2506.16012v1	https://arxiv.org/pdf/2506.16012v1.pdf	https://github.com/ds199895/dualthor	true	true	true	none
https://paperswithcode.com/paper/semantic-entropy-probes-robust-and-cheap	Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs	2406.15927	https://arxiv.org/abs/2406.15927v1	https://arxiv.org/pdf/2406.15927v1.pdf	https://github.com/oatml/semantic-entropy-probes	false	false	true	pytorch
https://paperswithcode.com/paper/ld-rps-zero-shot-unified-image-restoration	LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling	2507.00790	https://arxiv.org/abs/2507.00790v2	https://arxiv.org/pdf/2507.00790v2.pdf	https://github.com/amap-ml/ld-rps	true	true	true	jax
https://paperswithcode.com/paper/unified-modal-salient-object-detection-via	Unified-modal Salient Object Detection via Adaptive Prompt Learning	2311.16835	https://arxiv.org/abs/2311.16835v5	https://arxiv.org/pdf/2311.16835v5.pdf	https://github.com/angknpng/unisod	true	true	true	pytorch
https://paperswithcode.com/paper/polybin3d-a-suite-of-optimal-and-efficient	PolyBin3D: A Suite of Optimal and Efficient Power Spectrum and Bispectrum Estimators for Large-Scale Structure	2404.07249	https://arxiv.org/abs/2404.07249v2	https://arxiv.org/pdf/2404.07249v2.pdf	https://github.com/oliverphilcox/polybin3d	true	true	true	jax
https://paperswithcode.com/paper/faster-r-cnn-towards-real-time-object	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	1506.01497	http://arxiv.org/abs/1506.01497v3	http://arxiv.org/pdf/1506.01497v3.pdf	https://github.com/vincentzhang/faster-rcnn-fcn	false	false	true	none
https://paperswithcode.com/paper/a-sparse-graph-structured-lasso-mixed-model	A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction	1711.04162	https://arxiv.org/abs/1711.04162v2	https://arxiv.org/pdf/1711.04162v2.pdf	https://github.com/YeWenting/sGLMM	true	true	false	none
https://paperswithcode.com/paper/guided-saliency-feature-learning-for-person	Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes	null	https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/6159_ECCV_2020_paper.php	https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123730358.pdf	https://github.com/JDAI-CV/fast-reid	true	true	false	pytorch
https://paperswithcode.com/paper/optimizing-scoring-function-of-dynamic	Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network	1708.09097	http://arxiv.org/abs/1708.09097v2	http://arxiv.org/pdf/1708.09097v2.pdf	https://github.com/yamada-kd/nepal	true	true	false	none
https://paperswithcode.com/paper/universal-sentence-encoder	Universal Sentence Encoder	1803.11175	http://arxiv.org/abs/1803.11175v2	http://arxiv.org/pdf/1803.11175v2.pdf	https://github.com/facebookresearch/InferSent	false	false	true	pytorch
https://paperswithcode.com/paper/kern	KERN	1710.09145	http://arxiv.org/abs/1710.09145v1	http://arxiv.org/pdf/1710.09145v1.pdf	https://github.com/casacore/casarest	true	true	false	none
https://paperswithcode.com/paper/one-shot-mutual-affine-transfer-for	Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization	1907.10274	https://arxiv.org/abs/1907.10274v2	https://arxiv.org/pdf/1907.10274v2.pdf	https://github.com/yingutk/NL-MAT	true	true	false	tf
https://paperswithcode.com/paper/tunable-subnetwork-splitting-for-model	Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training	2009.04053	https://arxiv.org/abs/2009.04053v2	https://arxiv.org/pdf/2009.04053v2.pdf	https://github.com/xianggebenben/TSSM	true	true	false	tf
https://paperswithcode.com/paper/auto-encoding-variational-bayes	Auto-Encoding Variational Bayes	1312.6114	http://arxiv.org/abs/1312.6114v10	http://arxiv.org/pdf/1312.6114v10.pdf	https://github.com/enalisnick/stick-breaking_dgms	false	false	true	none
https://paperswithcode.com/paper/a-batch-noise-contrastive-estimation-approach	A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models	1708.05997	http://arxiv.org/abs/1708.05997v2	http://arxiv.org/pdf/1708.05997v2.pdf	https://github.com/Stonesjtu/Pytorch-NCE	false	false	true	pytorch
https://paperswithcode.com/paper/understanding-convolution-for-semantic	Understanding Convolution for Semantic Segmentation	1702.08502	http://arxiv.org/abs/1702.08502v3	http://arxiv.org/pdf/1702.08502v3.pdf	https://github.com/leemathew1998/GradientWeight	false	false	true	pytorch
https://paperswithcode.com/paper/pp-lcnet-a-lightweight-cpu-convolutional	PP-LCNet: A Lightweight CPU Convolutional Neural Network	2109.15099	https://arxiv.org/abs/2109.15099v1	https://arxiv.org/pdf/2109.15099v1.pdf	https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/mobilenetv3_family	false	false	false	tf
https://paperswithcode.com/paper/deep-speaker-an-end-to-end-neural-speaker	Deep Speaker: an End-to-End Neural Speaker Embedding System	1705.02304	http://arxiv.org/abs/1705.02304v1	http://arxiv.org/pdf/1705.02304v1.pdf	https://github.com/prajual/Deep_Speaker	false	false	true	none
https://paperswithcode.com/paper/sol-a-library-for-scalable-online-learning	SOL: A Library for Scalable Online Learning Algorithms	1610.09083	http://arxiv.org/abs/1610.09083v1	http://arxiv.org/pdf/1610.09083v1.pdf	https://github.com/LIBOL/SOL	true	true	false	none
https://paperswithcode.com/paper/cross-view-image-synthesis-using-conditional	Cross-View Image Synthesis using Conditional GANs	1803.03396	http://arxiv.org/abs/1803.03396v2	http://arxiv.org/pdf/1803.03396v2.pdf	https://github.com/kregmi/cross-view-image-synthesis	true	false	true	pytorch
https://paperswithcode.com/paper/recurrent-memory-networks-for-language	Recurrent Memory Networks for Language Modeling	1601.01272	http://arxiv.org/abs/1601.01272v2	http://arxiv.org/pdf/1601.01272v2.pdf	https://github.com/simonjisu/NMT	false	false	true	pytorch
https://paperswithcode.com/paper/machine-learning-quantum-mechanics-and	Machine Learning, Quantum Mechanics, and Chemical Compound Space	1510.07512	http://arxiv.org/abs/1510.07512v3	http://arxiv.org/pdf/1510.07512v3.pdf	https://github.com/buralin/Data_Science_NL_Potential	false	false	true	none
https://paperswithcode.com/paper/wisedb-a-learning-based-workload-management	WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases	1601.08221	http://arxiv.org/abs/1601.08221v3	http://arxiv.org/pdf/1601.08221v3.pdf	https://github.com/RyanMarcus/wisedb	false	false	true	none
https://paperswithcode.com/paper/cross-lingual-adaptation-using-structural	Cross-Lingual Adaptation using Structural Correspondence Learning	1008.0716	http://arxiv.org/abs/1008.0716v2	http://arxiv.org/pdf/1008.0716v2.pdf	https://github.com/pprett/bolt	true	true	false	none
https://paperswithcode.com/paper/mobilenets-efficient-convolutional-neural	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	1704.04861	http://arxiv.org/abs/1704.04861v1	http://arxiv.org/pdf/1704.04861v1.pdf	https://github.com/Tsejing/object_detection	false	false	true	tf
https://paperswithcode.com/paper/deep-grasp-detection-and-localization-of	Deep Grasp: Detection and Localization of Grasps with Deep Neural Networks	1802.00520	http://arxiv.org/abs/1802.00520v2	http://arxiv.org/pdf/1802.00520v2.pdf	https://github.com/ivalab/grasp_multiObject	true	true	false	none
https://paperswithcode.com/paper/self-normalizing-neural-networks	Self-Normalizing Neural Networks	1706.02515	http://arxiv.org/abs/1706.02515v5	http://arxiv.org/pdf/1706.02515v5.pdf	https://github.com/bioinf-jku/SNNs	true	true	true	tf
https://paperswithcode.com/paper/multiscale-strategies-for-computing-optimal	Multiscale Strategies for Computing Optimal Transport	1708.02469	http://arxiv.org/abs/1708.02469v1	http://arxiv.org/pdf/1708.02469v1.pdf	https://github.com/samuelgerber/mop	true	false	false	none
https://paperswithcode.com/paper/191104554	Geometry-Aware Neural Rendering	1911.04554	https://arxiv.org/abs/1911.04554v1	https://arxiv.org/pdf/1911.04554v1.pdf	https://github.com/josh-tobin/egqn-datasets	true	true	false	tf
https://paperswithcode.com/paper/an-end-to-end-architecture-for-keyword	An End-to-End Architecture for Keyword Spotting and Voice Activity Detection	1611.09405	http://arxiv.org/abs/1611.09405v1	http://arxiv.org/pdf/1611.09405v1.pdf	https://github.com/taylorlu/AudioKWS	false	false	true	tf
https://paperswithcode.com/paper/hamiltonian-descent-methods	Hamiltonian Descent Methods	1809.05042	http://arxiv.org/abs/1809.05042v1	http://arxiv.org/pdf/1809.05042v1.pdf	https://github.com/takyamamoto/FirstExplicitMethod-HDM	false	false	true	none
https://paperswithcode.com/paper/a-deep-generative-model-for-semi-supervised	A Deep Generative Model for Semi-Supervised Classification with Noisy Labels	1809.05957	http://arxiv.org/abs/1809.05957v1	http://arxiv.org/pdf/1809.05957v1.pdf	https://github.com/maxime1310/fuzzy_labeling_scRNA	true	true	false	pytorch
https://paperswithcode.com/paper/leflow-enabling-flexible-fpga-high-level	LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks	1807.05317	http://arxiv.org/abs/1807.05317v1	http://arxiv.org/pdf/1807.05317v1.pdf	https://github.com/danielholanda/LeFlow	true	true	true	tf
https://paperswithcode.com/paper/micronnet-a-highly-compact-deep-convolutional	MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification	1804.00497	http://arxiv.org/abs/1804.00497v3	http://arxiv.org/pdf/1804.00497v3.pdf	https://github.com/ppriyank/MicronNet	false	false	true	pytorch
https://paperswithcode.com/paper/dirichlet-process-gaussian-mixture-model-an	Dirichlet Process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations	1801.08009	http://arxiv.org/abs/1801.08009v2	http://arxiv.org/pdf/1801.08009v2.pdf	https://github.com/thaines/helit	true	true	true	none
https://paperswithcode.com/paper/u-net-convolutional-networks-for-biomedical	U-Net: Convolutional Networks for Biomedical Image Segmentation	1505.04597	http://arxiv.org/abs/1505.04597v1	http://arxiv.org/pdf/1505.04597v1.pdf	https://github.com/IAmSuyogJadhav/Brainy	false	false	true	none
https://paperswithcode.com/paper/cad-pu-a-curvature-adaptive-deep-learning	CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling	2009.04660	https://arxiv.org/abs/2009.04660v1	https://arxiv.org/pdf/2009.04660v1.pdf	https://github.com/JiehongLin/CAD-PU	true	true	true	tf
https://paperswithcode.com/paper/lf-net-learning-local-features-from-images	LF-Net: Learning Local Features from Images	1805.09662	http://arxiv.org/abs/1805.09662v2	http://arxiv.org/pdf/1805.09662v2.pdf	https://github.com/vcg-uvic/lf-net-release	true	true	true	tf
https://paperswithcode.com/paper/ai-imu-dead-reckoning	AI-IMU Dead-Reckoning	1904.06064	http://arxiv.org/abs/1904.06064v1	http://arxiv.org/pdf/1904.06064v1.pdf	https://github.com/mbrossar/RINS-W	false	false	true	pytorch
https://paperswithcode.com/paper/superpoint-self-supervised-interest-point	SuperPoint: Self-Supervised Interest Point Detection and Description	1712.07629	http://arxiv.org/abs/1712.07629v4	http://arxiv.org/pdf/1712.07629v4.pdf	https://github.com/tzvikif/SuperGlue	false	false	true	pytorch
https://paperswithcode.com/paper/superglue-learning-feature-matching-with	SuperGlue: Learning Feature Matching with Graph Neural Networks	1911.11763	https://arxiv.org/abs/1911.11763v2	https://arxiv.org/pdf/1911.11763v2.pdf	https://github.com/tzvikif/SuperGlue	false	false	true	pytorch
https://paperswithcode.com/paper/combining-markov-random-fields-and	Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis	1601.04589	http://arxiv.org/abs/1601.04589v1	http://arxiv.org/pdf/1601.04589v1.pdf	https://github.com/paulwarkentin/pytorch-neural-doodle	false	false	true	pytorch
https://paperswithcode.com/paper/scalable-twin-neural-networks-for	Scalable Twin Neural Networks for Classification of Unbalanced Data	1705.00347	http://arxiv.org/abs/1705.00347v2	http://arxiv.org/pdf/1705.00347v2.pdf	https://github.com/panthimanshu/twinNeuralNets	false	false	true	none
https://paperswithcode.com/paper/choosing-the-sample-with-lowest-loss-makes	Choosing the Sample with Lowest Loss makes SGD Robust	2001.03316	https://arxiv.org/abs/2001.03316v1	https://arxiv.org/pdf/2001.03316v1.pdf	https://github.com/vatsal2020/mkl	false	false	true	none
https://paperswithcode.com/paper/exposure-a-white-box-photo-post-processing	Exposure: A White-Box Photo Post-Processing Framework	1709.09602	http://arxiv.org/abs/1709.09602v2	http://arxiv.org/pdf/1709.09602v2.pdf	https://github.com/yuanming-hu/exposure	false	false	true	tf
https://paperswithcode.com/paper/learning-the-population-dynamics-of-technical	Learning the dynamics of technical trading strategies	1903.02228	https://arxiv.org/abs/1903.02228v3	https://arxiv.org/pdf/1903.02228v3.pdf	https://github.com/NJ-Murphy/Learning-Technical-Trading	true	true	false	none
https://paperswithcode.com/paper/nonparametric-variable-importance-using-an	Nonparametric variable importance using an augmented neural network with multi-task learning	null	https://icml.cc/Conferences/2018/Schedule?showEvent=2042	http://proceedings.mlr.press/v80/feng18a/feng18a.pdf	https://github.com/jjfeng/nnet_var_import	true	true	false	tf
https://paperswithcode.com/paper/monotonic-chunkwise-attention-1	Monotonic Chunkwise Attention	null	https://openreview.net/forum?id=Hko85plCW	https://openreview.net/pdf?id=Hko85plCW	https://github.com/craffel/mocha	true	true	false	tf
https://paperswithcode.com/paper/convolutional-radio-modulation-recognition	Convolutional Radio Modulation Recognition Networks	1602.04105	http://arxiv.org/abs/1602.04105v3	http://arxiv.org/pdf/1602.04105v3.pdf	https://github.com/randaller/cnn-rtlsdr	false	false	true	tf
https://paperswithcode.com/paper/densely-connected-attention-propagation-for	Densely Connected Attention Propagation for Reading Comprehension	1811.04210	http://arxiv.org/abs/1811.04210v2	http://arxiv.org/pdf/1811.04210v2.pdf	https://github.com/vanzytay/NIPS2018_DECAPROP	false	false	true	tf
https://paperswithcode.com/paper/magnet-a-two-pronged-defense-against	MagNet: a Two-Pronged Defense against Adversarial Examples	1705.09064	http://arxiv.org/abs/1705.09064v2	http://arxiv.org/pdf/1705.09064v2.pdf	https://github.com/GokulKarthik/MagNet.pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/senteval-an-evaluation-toolkit-for-universal	SentEval: An Evaluation Toolkit for Universal Sentence Representations	1803.05449	http://arxiv.org/abs/1803.05449v1	http://arxiv.org/pdf/1803.05449v1.pdf	https://github.com/facebookresearch/InferSent	false	false	true	pytorch
https://paperswithcode.com/paper/learning-general-purpose-distributed-sentence	Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning	1804.00079	http://arxiv.org/abs/1804.00079v1	http://arxiv.org/pdf/1804.00079v1.pdf	https://github.com/facebookresearch/InferSent	false	false	true	pytorch
https://paperswithcode.com/paper/unsupervised-monocular-depth-estimation-with	Unsupervised Monocular Depth Estimation with Left-Right Consistency	1609.03677	http://arxiv.org/abs/1609.03677v3	http://arxiv.org/pdf/1609.03677v3.pdf	https://github.com/Lebhoryi/learn_monodepth	false	false	true	tf
https://paperswithcode.com/paper/dual-generator-generative-adversarial	Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation	1901.04604	http://arxiv.org/abs/1901.04604v1	http://arxiv.org/pdf/1901.04604v1.pdf	https://github.com/Ha0Tang/AsymmetricGAN	false	false	true	pytorch
https://paperswithcode.com/paper/on-causal-and-anticausal-learning	On Causal and Anticausal Learning	1206.6471	http://arxiv.org/abs/1206.6471v1	http://arxiv.org/pdf/1206.6471v1.pdf	https://github.com/causalitas/causalitas.github.io	false	false	true	none
https://paperswithcode.com/paper/latent-weights-do-not-exist-rethinking	Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization	1906.02107	https://arxiv.org/abs/1906.02107v2	https://arxiv.org/pdf/1906.02107v2.pdf	https://github.com/nikvaessen/Rethinking-Binarized-Neural-Network-Optimization	false	false	true	tf
https://paperswithcode.com/paper/super-slomo-high-quality-estimation-of	Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation	1712.00080	http://arxiv.org/abs/1712.00080v2	http://arxiv.org/pdf/1712.00080v2.pdf	https://github.com/susomena/DeepSlowMotion	false	false	true	tf
https://paperswithcode.com/paper/enriching-pre-trained-language-model-with	Enriching Pre-trained Language Model with Entity Information for Relation Classification	1905.08284	https://arxiv.org/abs/1905.08284v1	https://arxiv.org/pdf/1905.08284v1.pdf	https://github.com/onehaitao/R-BERT-relation-extraction	false	false	false	pytorch
https://paperswithcode.com/paper/deep-learning-for-case-based-reasoning	Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions	1710.04806	http://arxiv.org/abs/1710.04806v2	http://arxiv.org/pdf/1710.04806v2.pdf	https://github.com/OscarcarLi/PrototypeDL	true	true	false	tf

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.