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/sequence-learning-using-equilibrium	Sequence Learning Using Equilibrium Propagation	2209.09626	https://arxiv.org/abs/2209.09626v4	https://arxiv.org/pdf/2209.09626v4.pdf	https://github.com/neurocomplab-psu/eqprop-seqlearning	true	true	false	pytorch
https://paperswithcode.com/paper/syntax-driven-approach-for-semantic-role	Syntax-driven Approach for Semantic Role Labeling	null	https://aclanthology.org/2022.lrec-1.772	https://aclanthology.org/2022.lrec-1.772.pdf	https://github.com/synlp/srl-mm	true	true	false	pytorch
https://paperswithcode.com/paper/a-japanese-dataset-for-subjective-and	A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain	null	https://aclanthology.org/2022.lrec-1.759	https://aclanthology.org/2022.lrec-1.759.pdf	https://github.com/ids-cv/wrime	true	true	false	none
https://paperswithcode.com/paper/dynamic-convolution-attention-over	Dynamic Convolution: Attention over Convolution Kernels	1912.03458	https://arxiv.org/abs/1912.03458v2	https://arxiv.org/pdf/1912.03458v2.pdf	https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/conv/DynamicConv.py	false	false	false	mindspore
https://paperswithcode.com/paper/accurate-explanation-model-for-image	Accurate Explanation Model for Image Classifiers using Class Association Embedding	2406.07961	https://arxiv.org/abs/2406.07961v3	https://arxiv.org/pdf/2406.07961v3.pdf	https://github.com/xrt11/xai-code	true	true	true	pytorch
https://paperswithcode.com/paper/multimodality-for-nlp-centered-applications	Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers	null	https://aclanthology.org/2022.lrec-1.738	https://aclanthology.org/2022.lrec-1.738.pdf	https://github.com/drmuskangarg/multimodal-datasets	true	true	false	none
https://paperswithcode.com/paper/bat-lz-out-of-hell	BAT-LZ Out of Hell	2403.09893	https://arxiv.org/abs/2403.09893v2	https://arxiv.org/pdf/2403.09893v2.pdf	https://github.com/fmasillo/bat-lz	true	true	true	none
https://paperswithcode.com/paper/explainable-reinforcement-learning-via-model	Explainable Reinforcement Learning via Model Transforms	2209.12006	https://arxiv.org/abs/2209.12006v2	https://arxiv.org/pdf/2209.12006v2.pdf	https://github.com/sarah-keren/rlpe	true	true	true	none
https://paperswithcode.com/paper/a-free-open-source-morphological-analyser-and	A Free/Open-Source Morphological Analyser and Generator for Sakha	null	https://aclanthology.org/2022.lrec-1.550	https://aclanthology.org/2022.lrec-1.550.pdf	https://github.com/apertium/apertium-sah	true	true	false	none
https://paperswithcode.com/paper/hyperreel-high-fidelity-6-dof-video-with-ray	HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling	2301.02238	https://arxiv.org/abs/2301.02238v2	https://arxiv.org/pdf/2301.02238v2.pdf	https://github.com/facebookresearch/hyperreel	true	false	true	pytorch
https://paperswithcode.com/paper/basicvsr-the-search-for-essential-components	BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond	2012.02181	https://arxiv.org/abs/2012.02181v2	https://arxiv.org/pdf/2012.02181v2.pdf	https://github.com/XPixelGroup/BasicSR	false	false	true	pytorch
https://paperswithcode.com/paper/evaluating-explainability-for-graph-neural	Evaluating Explainability for Graph Neural Networks	2208.09339	https://arxiv.org/abs/2208.09339v2	https://arxiv.org/pdf/2208.09339v2.pdf	https://github.com/mims-harvard/graphxai	true	true	false	pytorch
https://paperswithcode.com/paper/reproducibility-report-contrastive-learning	Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations	2208.09284	https://arxiv.org/abs/2208.09284v1	https://arxiv.org/pdf/2208.09284v1.pdf	https://github.com/vita-epfl/social-nce	true	true	false	pytorch
https://paperswithcode.com/paper/amr-similarity-metrics-from-principles	AMR Similarity Metrics from Principles	2001.10929	https://arxiv.org/abs/2001.10929v2	https://arxiv.org/pdf/2001.10929v2.pdf	https://github.com/flipz357/amr-metric-suite	false	false	true	none
https://paperswithcode.com/paper/dcsf-deep-convolutional-set-functions-for	DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series	2208.11374	https://arxiv.org/abs/2208.11374v1	https://arxiv.org/pdf/2208.11374v1.pdf	https://github.com/yalavarthivk/dcsf	true	true	false	tf
https://paperswithcode.com/paper/entropy-solutions-of-non-local-scalar	Entropy solutions of non-local scalar conservation laws with congestion via deterministic particle method	2107.10760	https://arxiv.org/abs/2107.10760v2	https://arxiv.org/pdf/2107.10760v2.pdf	https://github.com/FedericoStra/cons-laws	true	false	true	none
https://paperswithcode.com/paper/semi-supervised-conditional-gan-for	Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective	2108.01852	https://arxiv.org/abs/2108.01852v3	https://arxiv.org/pdf/2108.01852v3.pdf	https://github.com/SharifAmit/Semi-supervised-Phishing-Detection-GAN	true	true	true	tf
https://paperswithcode.com/paper/decoding-demographic-un-fairness-from-indian	Decoding Demographic un-fairness from Indian Names	2209.03089	https://arxiv.org/abs/2209.03089v1	https://arxiv.org/pdf/2209.03089v1.pdf	https://github.com/vahini01/indiandemographics	true	true	false	none
https://paperswithcode.com/paper/social-media-engagement-and-cryptocurrency	Social Media Engagement and Cryptocurrency Performance	2209.02911	https://arxiv.org/abs/2209.02911v1	https://arxiv.org/pdf/2209.02911v1.pdf	https://github.com/kai-trading-bot/crypto_engagement	true	true	false	none
https://paperswithcode.com/paper/3d-bounding-box-estimation-using-deep	3D Bounding Box Estimation Using Deep Learning and Geometry	1612.00496	http://arxiv.org/abs/1612.00496v2	http://arxiv.org/pdf/1612.00496v2.pdf	https://github.com/ruhyadi/YOLO3D	false	false	true	pytorch
https://paperswithcode.com/paper/constrained-update-projection-approach-to	Constrained Update Projection Approach to Safe Policy Optimization	2209.07089	https://arxiv.org/abs/2209.07089v2	https://arxiv.org/pdf/2209.07089v2.pdf	https://github.com/zmsn-2077/cup-safe-rl	true	true	false	pytorch
https://paperswithcode.com/paper/nsnet-a-general-neural-probabilistic	NSNet: A General Neural Probabilistic Framework for Satisfiability Problems	2211.03880	https://arxiv.org/abs/2211.03880v1	https://arxiv.org/pdf/2211.03880v1.pdf	https://github.com/zhaoyu-li/nsnet	true	true	true	pytorch
https://paperswithcode.com/paper/a-japanese-masked-language-model-for-academic	A Japanese Masked Language Model for Academic Domain	null	https://aclanthology.org/2022.sdp-1.16	https://aclanthology.org/2022.sdp-1.16.pdf	https://github.com/hirokiyamauch/academicroberta	true	true	false	none
https://paperswithcode.com/paper/transfer-learning-in-ecg-diagnosis-is-it	Transfer Learning in ECG Diagnosis: Is It Effective?	2402.02021	https://arxiv.org/abs/2402.02021v2	https://arxiv.org/pdf/2402.02021v2.pdf	https://github.com/cuongvng/transfer-learning-ecg-diagnosis	true	true	false	pytorch
https://paperswithcode.com/paper/conformal-inference-for-cell-type-annotation	Conformal inference for cell type annotation with graph-structured constraints	2410.23786	https://arxiv.org/abs/2410.23786v1	https://arxiv.org/pdf/2410.23786v1.pdf	https://github.com/ccb-hms/scconform	true	true	false	none
https://paperswithcode.com/paper/the-surprising-effectiveness-of-mappo-in	The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games	2103.01955	https://arxiv.org/abs/2103.01955v4	https://arxiv.org/pdf/2103.01955v4.pdf	https://github.com/tjuhaoxiaotian/pymarl3	false	false	true	pytorch
https://paperswithcode.com/paper/a-practical-guide-and-software-for-analysing	A practical guide and software for analysing pairwise comparison experiments	1712.03686	http://arxiv.org/abs/1712.03686v2	http://arxiv.org/pdf/1712.03686v2.pdf	https://github.com/mantiuk/pwcmp	true	true	true	none
https://paperswithcode.com/paper/lapred-lane-aware-prediction-of-multi-modal	LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents	2104.00249	https://arxiv.org/abs/2104.00249v1	https://arxiv.org/pdf/2104.00249v1.pdf	https://github.com/bdokim/LaPred	true	false	true	pytorch
https://paperswithcode.com/paper/generating-artificial-light-curves-revisited	Generating artificial light curves: Revisited and updated	1305.0304	https://arxiv.org/abs/1305.0304v1	https://arxiv.org/pdf/1305.0304v1.pdf	https://github.com/lena-lin/emmanoulopoulos	false	false	true	none
https://paperswithcode.com/paper/an-automated-process-for-2d-and-3d-finite	Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks	2209.06948	https://arxiv.org/abs/2209.06948v3	https://arxiv.org/pdf/2209.06948v3.pdf	https://github.com/thor-andreassen/femors	true	true	false	none
https://paperswithcode.com/paper/investigating-semantic-subspaces-of	Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing	2310.11923	https://arxiv.org/abs/2310.11923v1	https://arxiv.org/pdf/2310.11923v1.pdf	https://github.com/macleginn/semantic-subspaces-code	true	true	false	pytorch
https://paperswithcode.com/paper/introduction-to-astroml-machine-learning-for	Introduction to astroML: Machine Learning for Astrophysics	1411.5039	http://arxiv.org/abs/1411.5039v1	http://arxiv.org/pdf/1411.5039v1.pdf	https://github.com/LBJ-Wade/astroML	false	false	true	none
https://paperswithcode.com/paper/an-adaptive-kernel-estimator-for-the	An adaptive kernel estimator for the intensity function of spatio-temporal point processes	2208.12026	https://arxiv.org/abs/2208.12026v1	https://arxiv.org/pdf/2208.12026v1.pdf	https://github.com/jagm03/kernstadapt	true	true	true	none
https://paperswithcode.com/paper/bayesian-quadrature-for-probability-threshold	An Active Learning Reliability Method for Systems with Partially Defined Performance Functions	2210.02168	https://arxiv.org/abs/2210.02168v2	https://arxiv.org/pdf/2210.02168v2.pdf	https://github.com/fiveai/hgp_experiments	true	true	true	none
https://paperswithcode.com/paper/investigating-the-effect-of-circuit-cutting	Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices	2302.01792	https://arxiv.org/abs/2302.01792v2	https://arxiv.org/pdf/2302.01792v2.pdf	https://github.com/anonym-scientist/cut-qaoa-paper	true	true	false	none
https://paperswithcode.com/paper/3d-vsg-long-term-semantic-scene-change	3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs	2209.07896	https://arxiv.org/abs/2209.07896v2	https://arxiv.org/pdf/2209.07896v2.pdf	https://github.com/ethz-asl/3d_vsg	true	true	true	pytorch
https://paperswithcode.com/paper/estimation-of-optical-aberrations-in-3d	Estimation of Optical Aberrations in 3D Microscopic Bioimages	2209.07911	https://arxiv.org/abs/2209.07911v1	https://arxiv.org/pdf/2209.07911v1.pdf	https://github.com/kiraving/aberration	true	true	false	none
https://paperswithcode.com/paper/deep-learning-for-brain-metastasis-detection	Deep learning for brain metastasis detection and segmentation in longitudinal MRI data	2112.11833	https://arxiv.org/abs/2112.11833v5	https://arxiv.org/pdf/2112.11833v5.pdf	https://github.com/yixinghuang/deepmedicplus	true	true	false	tf
https://paperswithcode.com/paper/high-resolution-image-synthesis-with-latent	High-Resolution Image Synthesis with Latent Diffusion Models	2112.10752	https://arxiv.org/abs/2112.10752v2	https://arxiv.org/pdf/2112.10752v2.pdf	https://github.com/compvis/stable-diffusion	false	false	true	pytorch
https://paperswithcode.com/paper/deep-attractor-network-for-single-microphone	Deep attractor network for single-microphone speaker separation	1611.08930	http://arxiv.org/abs/1611.08930v2	http://arxiv.org/pdf/1611.08930v2.pdf	https://github.com/KMASAHIRO/DANet	false	false	true	tf
https://paperswithcode.com/paper/serialized-interacting-mixed-membership	Serialized Interacting Mixed Membership Stochastic Block Model	2209.07813	https://arxiv.org/abs/2209.07813v1	https://arxiv.org/pdf/2209.07813v1.pdf	https://github.com/gaelpouxmedard/simsbm	true	true	false	none
https://paperswithcode.com/paper/comparison-of-high-dimensional-bayesian	Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB	2303.00890	https://arxiv.org/abs/2303.00890v3	https://arxiv.org/pdf/2303.00890v3.pdf	https://github.com/marialaurasantoni/ioh-profiler-hdbo-comparison	true	true	false	jax
https://paperswithcode.com/paper/robust-vocal-quality-feature-embeddings-for	Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection	2211.09858	https://arxiv.org/abs/2211.09858v2	https://arxiv.org/pdf/2211.09858v2.pdf	https://github.com/vigor-jzhang/dysphonic-emb	true	true	false	pytorch
https://paperswithcode.com/paper/d-d-learning-human-dynamics-from-dynamic	D&D: Learning Human Dynamics from Dynamic Camera	2209.08790	https://arxiv.org/abs/2209.08790v1	https://arxiv.org/pdf/2209.08790v1.pdf	https://github.com/jeff-sjtu/dnd	true	true	true	pytorch
https://paperswithcode.com/paper/hybrik-a-hybrid-analytical-neural-inverse	HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation	2011.14672	https://arxiv.org/abs/2011.14672v4	https://arxiv.org/pdf/2011.14672v4.pdf	https://github.com/jeff-sjtu/dnd	false	false	true	pytorch
https://paperswithcode.com/paper/cerberus-low-drift-visual-inertial-leg	Cerberus: Low-Drift Visual-Inertial-Leg Odometry For Agile Locomotion	2209.07654	https://arxiv.org/abs/2209.07654v1	https://arxiv.org/pdf/2209.07654v1.pdf	https://github.com/shuoyangrobotics/cerberus	true	true	true	none
https://paperswithcode.com/paper/monacobert-monotonic-attention-based-convbert	MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing	2208.12615	https://arxiv.org/abs/2208.12615v2	https://arxiv.org/pdf/2208.12615v2.pdf	https://github.com/codingchild2424/MonaCoBERT	true	true	true	pytorch
https://paperswithcode.com/paper/rucola-russian-corpus-of-linguistic	RuCoLA: Russian Corpus of Linguistic Acceptability	2210.12814	https://arxiv.org/abs/2210.12814v1	https://arxiv.org/pdf/2210.12814v1.pdf	https://github.com/russiannlp/rucola	true	true	true	pytorch
https://paperswithcode.com/paper/apollo-an-adaptive-parameter-wise-diagonal	Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization	2009.13586	https://arxiv.org/abs/2009.13586v6	https://arxiv.org/pdf/2009.13586v6.pdf	https://github.com/XuezheMax/fairseq-apollo	false	false	true	pytorch
https://paperswithcode.com/paper/panoramic-panoptic-segmentation-towards	Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning	2103.00868	https://arxiv.org/abs/2103.00868v2	https://arxiv.org/pdf/2103.00868v2.pdf	https://github.com/alexanderjaus/PPS	true	true	true	pytorch
https://paperswithcode.com/paper/phabox-a-web-server-for-identifying-and	PhaBOX: A web server for identifying and characterizing phage contigs in metagenomic data	2303.15707	https://arxiv.org/abs/2303.15707v3	https://arxiv.org/pdf/2303.15707v3.pdf	https://github.com/kennthshang/phabox	true	true	false	pytorch
https://paperswithcode.com/paper/thinking-hallucination-for-video-captioning	Thinking Hallucination for Video Captioning	2209.13853	https://arxiv.org/abs/2209.13853v1	https://arxiv.org/pdf/2209.13853v1.pdf	https://github.com/nasib-ullah/THVC	true	false	false	pytorch
https://paperswithcode.com/paper/pushing-the-limits-of-the-wiener-filter-in	Pushing The Limits of the Wiener Filter in Image Denoising	2303.16640	https://arxiv.org/abs/2303.16640v1	https://arxiv.org/pdf/2303.16640v1.pdf	https://github.com/mrbled/icicp_2023_wiener	true	true	false	none
https://paperswithcode.com/paper/forward-mode-automatic-differentiation-in	Forward-Mode Automatic Differentiation in Julia	1607.07892	http://arxiv.org/abs/1607.07892v1	http://arxiv.org/pdf/1607.07892v1.pdf	https://github.com/jesse-sharp/sharp2021b	false	false	true	none
https://paperswithcode.com/paper/generating-astronomical-spectra-from	Generating astronomical spectra from photometry with conditional diffusion models	2211.05556	https://arxiv.org/abs/2211.05556v1	https://arxiv.org/pdf/2211.05556v1.pdf	https://github.com/larsdoorenbos/generate-spectra	true	true	true	pytorch
https://paperswithcode.com/paper/cetn-contrast-enhanced-through-network-for	CETN: Contrast-enhanced Through Network for CTR Prediction	2312.09715	https://arxiv.org/abs/2312.09715v2	https://arxiv.org/pdf/2312.09715v2.pdf	https://github.com/salmon1802/cetn	true	true	false	pytorch
https://paperswithcode.com/paper/ditto-quantization-aware-secure-inference-of	Ditto: Quantization-aware Secure Inference of Transformers upon MPC	2405.05525	https://arxiv.org/abs/2405.05525v1	https://arxiv.org/pdf/2405.05525v1.pdf	https://github.com/secretflow/spu	true	true	false	tf
https://paperswithcode.com/paper/a-concise-but-effective-network-for-image	A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving	2401.15902	https://arxiv.org/abs/2401.15902v2	https://arxiv.org/pdf/2401.15902v2.pdf	https://github.com/lmomoy/chnet	true	true	false	pytorch
https://paperswithcode.com/paper/cairl-a-high-performance-reinforcement	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit	2210.01235	https://arxiv.org/abs/2210.01235v1	https://arxiv.org/pdf/2210.01235v1.pdf	https://github.com/cair/rl	true	true	false	none
https://paperswithcode.com/paper/gantouch-an-attack-resilient-framework-for	GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System	2210.01594	https://arxiv.org/abs/2210.01594v1	https://arxiv.org/pdf/2210.01594v1.pdf	https://github.com/midas-research/gantouch-tbiom	true	true	false	pytorch
https://paperswithcode.com/paper/hyperbolic-geometry-in-computer-vision-a	Fully Hyperbolic Convolutional Neural Networks for Computer Vision	2303.15919	https://arxiv.org/abs/2303.15919v3	https://arxiv.org/pdf/2303.15919v3.pdf	https://github.com/kschwethelm/hyperboliccv	true	true	true	pytorch
https://paperswithcode.com/paper/join-operation-for-the-bruhat-order-and-verma	Join operation for the Bruhat order and Verma modules	2109.01067	https://arxiv.org/abs/2109.01067v1	https://arxiv.org/pdf/2109.01067v1.pdf	https://github.com/rafael-mrden/BGG-Category-O-and-related-combinatorics	false	false	true	none
https://paperswithcode.com/paper/roaring-bitmaps-implementation-of-an	Roaring Bitmaps: Implementation of an Optimized Software Library	1709.07821	https://arxiv.org/abs/1709.07821v6	https://arxiv.org/pdf/1709.07821v6.pdf	https://github.com/RoaringBitmap/roaring	false	false	true	none
https://paperswithcode.com/paper/some-homological-properties-of-category	Some homological properties of category $\mathcal{O}$, V	2007.00342	http://arxiv.org/abs/2007.00342v3	http://arxiv.org/pdf/2007.00342v3.pdf	https://github.com/rafael-mrden/BGG-Category-O-and-related-combinatorics	false	false	true	none
https://paperswithcode.com/paper/entropy-based-active-learning-of-graph-neural	Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties	2108.02077	https://arxiv.org/abs/2108.02077v2	https://arxiv.org/pdf/2108.02077v2.pdf	https://github.com/keeeto/gp-net	true	false	false	none
https://paperswithcode.com/paper/towards-interactive-and-learnable-cooperative	Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework	2409.12812	https://arxiv.org/abs/2409.12812v2	https://arxiv.org/pdf/2409.12812v2.pdf	https://github.com/fangshiyuu/codrivingllm	true	true	true	none
https://paperswithcode.com/paper/benchmarking-graphormer-on-large-scale	Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets	2203.04810	https://arxiv.org/abs/2203.04810v2	https://arxiv.org/pdf/2203.04810v2.pdf	https://github.com/lsj2408/Transformer-M	false	false	true	pytorch
https://paperswithcode.com/paper/efficient-scale-invariant-generator-with	Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis	2303.14157	https://arxiv.org/abs/2303.14157v3	https://arxiv.org/pdf/2303.14157v3.pdf	https://github.com/vinairesearch/creps	true	true	true	pytorch
https://paperswithcode.com/paper/core-to-core-x-ray-emission-spectra-from	Core-to-Core X-ray Emission Spectra from Wannier Based Multiplet Ligand Field Theory	2304.14582	https://arxiv.org/abs/2304.14582v1	https://arxiv.org/pdf/2304.14582v1.pdf	https://github.com/seidler-lab/crcl2kaxes_example	true	true	false	none
https://paperswithcode.com/paper/cascaded-debiasing-studying-the-cumulative	Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions	2202.03734	https://arxiv.org/abs/2202.03734v2	https://arxiv.org/pdf/2202.03734v2.pdf	https://github.com/bhavyaghai/cascaded-debiasing	true	true	true	none
https://paperswithcode.com/paper/incorporating-texture-information-into	Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images	2202.09179	https://arxiv.org/abs/2202.09179v2	https://arxiv.org/pdf/2202.09179v2.pdf	https://github.com/biovault/spidr	true	true	true	none
https://paperswithcode.com/paper/fcc-ee-polarimeter	FCC-ee polarimeter	1803.09595	https://arxiv.org/abs/1803.09595v1	https://arxiv.org/pdf/1803.09595v1.pdf	https://github.com/muchnoi/FCCee-Polarimeter	false	false	true	none
https://paperswithcode.com/paper/bi-directional-weakly-supervised-knowledge	Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification	2210.03664	https://arxiv.org/abs/2210.03664v2	https://arxiv.org/pdf/2210.03664v2.pdf	https://github.com/miccaiif/weno	true	true	true	pytorch
https://paperswithcode.com/paper/a-joint-modeling-approach-to-study-the	A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes	2309.08000	https://arxiv.org/abs/2309.08000v1	https://arxiv.org/pdf/2309.08000v1.pdf	https://github.com/realirena/jelo	true	true	false	none
https://paperswithcode.com/paper/longtonotes-ontonotes-with-longer-coreference	Longtonotes: OntoNotes with Longer Coreference Chains	2210.03650	https://arxiv.org/abs/2210.03650v1	https://arxiv.org/pdf/2210.03650v1.pdf	https://github.com/kumar-shridhar/longtonotes	true	true	true	none
https://paperswithcode.com/paper/hate-speech-and-offensive-language-detection-1	Hate Speech and Offensive Language Detection in Bengali	2210.03479	https://arxiv.org/abs/2210.03479v1	https://arxiv.org/pdf/2210.03479v1.pdf	https://github.com/hate-alert/bengali_hate	true	true	true	none
https://paperswithcode.com/paper/a-resnet-is-all-you-need-modeling-a-strong	A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images	2210.03180	https://arxiv.org/abs/2210.03180v1	https://arxiv.org/pdf/2210.03180v1.pdf	https://github.com/tomascast/sipaim-2022-resnet	true	true	false	none
https://paperswithcode.com/paper/self-supervised-visual-representation-2	Self-Supervised Visual Representation Learning with Semantic Grouping	2205.15288	https://arxiv.org/abs/2205.15288v2	https://arxiv.org/pdf/2205.15288v2.pdf	https://github.com/CVMI-Lab/SlotCon	true	true	true	pytorch
https://paperswithcode.com/paper/integrating-random-effects-in-deep-neural	Integrating Random Effects in Deep Neural Networks	2206.03314	https://arxiv.org/abs/2206.03314v3	https://arxiv.org/pdf/2206.03314v3.pdf	https://github.com/gsimchoni/lmmnn	true	true	true	none
https://paperswithcode.com/paper/metadrive-composing-diverse-driving-scenarios	MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning	2109.12674	https://arxiv.org/abs/2109.12674v3	https://arxiv.org/pdf/2109.12674v3.pdf	https://github.com/metadriverse/metadrive	true	true	true	none
https://paperswithcode.com/paper/one-shot-federated-learning-without-server	One-shot Federated Learning without Server-side Training	2204.12493	https://arxiv.org/abs/2204.12493v2	https://arxiv.org/pdf/2204.12493v2.pdf	https://github.com/fudanvi/maecho	true	true	false	pytorch
https://paperswithcode.com/paper/classical-simulators-as-quantum-error	Classical simulators as quantum error mitigators via circuit cutting	2212.07335	https://arxiv.org/abs/2212.07335v1	https://arxiv.org/pdf/2212.07335v1.pdf	https://github.com/revilooliver/cut4mitigation	true	true	false	none
https://paperswithcode.com/paper/online-incremental-non-gaussian-inference-for	Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows	2110.00876	https://arxiv.org/abs/2110.00876v2	https://arxiv.org/pdf/2110.00876v2.pdf	https://github.com/marineroboticsgroup/nf-isam	true	true	true	none
https://paperswithcode.com/paper/feta-a-benchmark-for-few-sample-task-transfer	FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue	2205.06262	https://arxiv.org/abs/2205.06262v2	https://arxiv.org/pdf/2205.06262v2.pdf	https://github.com/alon-albalak/tlidb	true	true	true	pytorch
https://paperswithcode.com/paper/detection-of-dementia-through-3d	Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET	null	https://ieeexplore.ieee.org/document/9660102	https://espositoandrea.github.io/assets/papers/Castellano2021Detection.pdf	https://github.com/espositoandrea/Detecting-Alzheimer-Using-Amiloyd-PET-Scans	false	false	false	none
https://paperswithcode.com/paper/skateformer-skeletal-temporal-transformer-for	SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition	2403.09508	https://arxiv.org/abs/2403.09508v3	https://arxiv.org/pdf/2403.09508v3.pdf	https://github.com/KAIST-VICLab/SkateFormer	true	false	true	pytorch
https://paperswithcode.com/paper/towards-few-shot-entity-recognition-in-1	Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework	2204.05819	https://arxiv.org/abs/2204.05819v1	https://arxiv.org/pdf/2204.05819v1.pdf	https://github.com/zlwang-cs/laser-release	true	true	true	pytorch
https://paperswithcode.com/paper/panoramic-direct-lidar-assisted-visual	Panoramic Direct LiDAR-assisted Visual Odometry	2409.09287	https://arxiv.org/abs/2409.09287v1	https://arxiv.org/pdf/2409.09287v1.pdf	https://github.com/ZikangYuan/panoramic_lidar_dso	true	false	true	none
https://paperswithcode.com/paper/codonmt-modeling-cohesion-devices-for	CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation	null	https://aclanthology.org/2022.coling-1.462	https://aclanthology.org/2022.coling-1.462.pdf	https://github.com/codeboy311/codonmt	true	true	false	pytorch
https://paperswithcode.com/paper/robustness-certification-of-visual-perception	Robustness Certification of Visual Perception Models via Camera Motion Smoothing	2210.04625	https://arxiv.org/abs/2210.04625v2	https://arxiv.org/pdf/2210.04625v2.pdf	https://github.com/hanjianghu/camera-motion-smoothing	true	true	true	pytorch
https://paperswithcode.com/paper/subeventwriter-iterative-sub-event-sequence	SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller	2210.06694	https://arxiv.org/abs/2210.06694v3	https://arxiv.org/pdf/2210.06694v3.pdf	https://github.com/hkust-knowcomp/subeventwriter	true	true	true	pytorch
https://paperswithcode.com/paper/kerple-kernelized-relative-positional	KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation	2205.09921	https://arxiv.org/abs/2205.09921v2	https://arxiv.org/pdf/2205.09921v2.pdf	https://github.com/chijames/kerple	true	true	true	pytorch
https://paperswithcode.com/paper/towards-efficient-3d-object-detection-with	Towards Efficient 3D Object Detection with Knowledge Distillation	2205.15156	https://arxiv.org/abs/2205.15156v3	https://arxiv.org/pdf/2205.15156v3.pdf	https://github.com/cvmi-lab/sparsekd	true	true	false	pytorch
https://paperswithcode.com/paper/technical-debt-management-in-oss-projects-an	Technical Debt Management in OSS Projects: An Empirical Study on GitHub	2212.05537	https://arxiv.org/abs/2212.05537v1	https://arxiv.org/pdf/2212.05537v1.pdf	https://github.com/ypyixiuxiu/tdmdatasets	true	true	false	none
https://paperswithcode.com/paper/cabvit-cross-attention-among-blocks-for	Fcaformer: Forward Cross Attention in Hybrid Vision Transformer	2211.07198	https://arxiv.org/abs/2211.07198v2	https://arxiv.org/pdf/2211.07198v2.pdf	https://github.com/hkzhang91/cabvit	true	true	false	pytorch
https://paperswithcode.com/paper/oneformer-one-transformer-to-rule-universal	OneFormer: One Transformer to Rule Universal Image Segmentation	2211.06220	https://arxiv.org/abs/2211.06220v2	https://arxiv.org/pdf/2211.06220v2.pdf	https://github.com/SHI-Labs/OneFormer	true	true	true	pytorch
https://paperswithcode.com/paper/fragment-based-molecular-generative-model	Fragment-based molecular generative model with high generalization ability and synthetic accessibility	2111.12907	https://arxiv.org/abs/2111.12907v1	https://arxiv.org/pdf/2111.12907v1.pdf	https://github.com/jaechang-hits/bbar-pytorch	true	false	false	pytorch
https://paperswithcode.com/paper/quantum-approximate-optimization-algorithm-8	Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network	2211.09513	https://arxiv.org/abs/2211.09513v3	https://arxiv.org/pdf/2211.09513v3.pdf	https://github.com/NingyiXie/Parameter-to-Parameter-Convolutional-Neural-Network	true	true	true	pytorch
https://paperswithcode.com/paper/towards-a-unified-conformer-structure-from	Towards A Unified Conformer Structure: from ASR to ASV Task	2211.07201	https://arxiv.org/abs/2211.07201v2	https://arxiv.org/pdf/2211.07201v2.pdf	https://github.com/Snowdar/asv-subtools	true	true	true	pytorch
https://paperswithcode.com/paper/decoding-memes-a-comparative-study-of-machine	Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification	2408.08126	https://arxiv.org/abs/2408.08126v1	https://arxiv.org/pdf/2408.08126v1.pdf	https://github.com/hsdslab/meme-research	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.