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/vmamba-visual-state-space-model	VMamba: Visual State Space Model	2401.10166	https://arxiv.org/abs/2401.10166v4	https://arxiv.org/pdf/2401.10166v4.pdf	https://github.com/mzeromiko/vmamba	true	true	true	pytorch
https://paperswithcode.com/paper/personality-alignment-of-large-language	Personality Alignment of Large Language Models	2408.11779	https://arxiv.org/abs/2408.11779v1	https://arxiv.org/pdf/2408.11779v1.pdf	https://github.com/zhu-minjun/palign	true	true	true	pytorch
https://paperswithcode.com/paper/general-complex-polynomial-root-solver-and	General Complex Polynomial Root Solver and Its Further Optimization for Binary Microlenses	1203.1034	http://arxiv.org/abs/1203.1034v1	http://arxiv.org/pdf/1203.1034v1.pdf	https://github.com/valboz/VBBinaryLensing	false	false	true	none
https://paperswithcode.com/paper/medmae-a-self-supervised-backbone-for-medical	MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks	2407.14784	https://arxiv.org/abs/2407.14784v1	https://arxiv.org/pdf/2407.14784v1.pdf	https://github.com/islamosmanubc/MedMAE	true	false	true	pytorch
https://paperswithcode.com/paper/fedgs-federated-gradient-scaling-for	FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation	2408.11701	https://arxiv.org/abs/2408.11701v1	https://arxiv.org/pdf/2408.11701v1.pdf	https://github.com/trustworthy-ai-uu-nki/federated-learning-disentanglement	true	true	false	pytorch
https://paperswithcode.com/paper/gaussian-deja-vu-creating-controllable-3d	Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities	2409.16147	https://arxiv.org/abs/2409.16147v3	https://arxiv.org/pdf/2409.16147v3.pdf	https://github.com/peizhiyan/flame-head-tracker	true	true	false	pytorch
https://paperswithcode.com/paper/integrating-ytopt-and-libensemble-to-autotune	Integrating ytopt and libEnsemble to Autotune OpenMC	2402.09222	https://arxiv.org/abs/2402.09222v2	https://arxiv.org/pdf/2402.09222v2.pdf	https://github.com/ytopt-team/ytopt-libensemble	true	true	false	pytorch
https://paperswithcode.com/paper/avm-slam-semantic-visual-slam-with-multi	AVM-SLAM: Semantic Visual SLAM with Multi-Sensor Fusion in a Bird's Eye View for Automated Valet Parking	2309.08180	https://arxiv.org/abs/2309.08180v2	https://arxiv.org/pdf/2309.08180v2.pdf	https://github.com/yale-cv/avm-slam_dataset	true	true	true	none
https://paperswithcode.com/paper/tackling-hybrid-heterogeneity-on-federated	On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond	2310.02702	https://arxiv.org/abs/2310.02702v4	https://arxiv.org/pdf/2310.02702v4.pdf	https://github.com/dunzeng/fedaware	true	true	true	pytorch
https://paperswithcode.com/paper/seed-data-edit-technical-report-a-hybrid	SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing	2405.04007	https://arxiv.org/abs/2405.04007v1	https://arxiv.org/pdf/2405.04007v1.pdf	https://github.com/ailab-cvc/seed-x	true	true	true	pytorch
https://paperswithcode.com/paper/cure4rec-a-benchmark-for-recommendation	CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence	2408.14393	https://arxiv.org/abs/2408.14393v2	https://arxiv.org/pdf/2408.14393v2.pdf	https://github.com/xiye7lai/cure4rec	true	true	false	pytorch
https://paperswithcode.com/paper/attencraft-attention-guided-disentanglement	AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization	2405.17965	https://arxiv.org/abs/2405.17965v1	https://arxiv.org/pdf/2405.17965v1.pdf	https://github.com/junjie-shentu/attencraft	true	true	true	pytorch
https://paperswithcode.com/paper/large-language-models-for-depression	Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge	2505.22863	https://arxiv.org/abs/2505.22863v1	https://arxiv.org/pdf/2505.22863v1.pdf	https://github.com/myxp-lyp/depression-detection	true	true	false	pytorch
https://paperswithcode.com/paper/rankability-enhanced-revenue-uplift-modeling	Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing	2405.15301	https://arxiv.org/abs/2405.15301v2	https://arxiv.org/pdf/2405.15301v2.pdf	https://github.com/BokwaiHo/revenue_uplift	true	true	false	pytorch
https://paperswithcode.com/paper/bayesian-detector-combination-for-object	Bayesian Detector Combination for Object Detection with Crowdsourced Annotations	2407.07958	https://arxiv.org/abs/2407.07958v1	https://arxiv.org/pdf/2407.07958v1.pdf	https://github.com/zhiqin1998/bdc	true	true	true	pytorch
https://paperswithcode.com/paper/novel-clustered-federated-learning-based-on	Novel clustered federated learning based on local loss	2407.09360	https://arxiv.org/abs/2407.09360v1	https://arxiv.org/pdf/2407.09360v1.pdf	https://github.com/wenh06/LCFL	true	false	false	pytorch
https://paperswithcode.com/paper/llm-maybe-longlm-self-extend-llm-context	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning	2401.01325	https://arxiv.org/abs/2401.01325v3	https://arxiv.org/pdf/2401.01325v3.pdf	https://github.com/datamllab/LongLM	true	true	true	pytorch
https://paperswithcode.com/paper/deep-spectral-clustering-via-joint-spectral	Deep Spectral Clustering via Joint Spectral Embedding and Kmeans	2412.11080	https://arxiv.org/abs/2412.11080v1	https://arxiv.org/pdf/2412.11080v1.pdf	https://github.com/spdj2271/dsc	true	true	false	tf
https://paperswithcode.com/paper/quasioptimal-alternating-projections-and	Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors	2308.16097	https://arxiv.org/abs/2308.16097v3	https://arxiv.org/pdf/2308.16097v3.pdf	https://github.com/sbudzinskiy/low-rank-big-data	false	false	true	none
https://paperswithcode.com/paper/on-discovery-of-local-independence-over	On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition	2405.07220	https://arxiv.org/abs/2405.07220v1	https://arxiv.org/pdf/2405.07220v1.pdf	https://github.com/iwhwang/ncd	true	true	false	pytorch
https://paperswithcode.com/paper/protboost-protein-function-prediction-with-py	ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution	2412.04529	https://arxiv.org/abs/2412.04529v1	https://arxiv.org/pdf/2412.04529v1.pdf	https://github.com/btbpanda/cafa5-protein-function-prediction-2nd-place	true	true	false	pytorch
https://paperswithcode.com/paper/isfl-trustworthy-federated-learning-for-non-i	ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling	2210.02119	https://arxiv.org/abs/2210.02119v3	https://arxiv.org/pdf/2210.02119v3.pdf	https://github.com/zhuzzq/isfl	true	true	true	pytorch
https://paperswithcode.com/paper/tunes-a-temporal-u-net-with-self-attention	TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition	2307.09997	https://arxiv.org/abs/2307.09997v6	https://arxiv.org/pdf/2307.09997v6.pdf	https://gitlab.com/nct_tso_public/tunes	true	true	true	pytorch
https://paperswithcode.com/paper/straightpcf-straight-point-cloud-filtering	StraightPCF: Straight Point Cloud Filtering	2405.08322	https://arxiv.org/abs/2405.08322v1	https://arxiv.org/pdf/2405.08322v1.pdf	https://github.com/ddsediri/straightpcf	true	true	false	pytorch
https://paperswithcode.com/paper/conformal-prediction-for-causal-effects-of	Conformal Prediction for Causal Effects of Continuous Treatments	2407.03094	https://arxiv.org/abs/2407.03094v3	https://arxiv.org/pdf/2407.03094v3.pdf	https://github.com/m-schroder/continuouscausalcp	true	true	true	pytorch
https://paperswithcode.com/paper/revisiting-cnns-for-trajectory-similarity	Revisiting CNNs for Trajectory Similarity Learning	2405.19761	https://arxiv.org/abs/2405.19761v2	https://arxiv.org/pdf/2405.19761v2.pdf	https://github.com/proudc/convtraj	true	true	false	pytorch
https://paperswithcode.com/paper/multivariate-probabilistic-time-series	Multivariate Probabilistic Time Series Forecasting with Correlated Errors	2402.01000	https://arxiv.org/abs/2402.01000v4	https://arxiv.org/pdf/2402.01000v4.pdf	https://github.com/rottenivy/mv_pts_correlatederr	true	true	true	pytorch
https://paperswithcode.com/paper/pokerkit-a-comprehensive-python-library-for	PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations	2308.07327	https://arxiv.org/abs/2308.07327v6	https://arxiv.org/pdf/2308.07327v6.pdf	https://github.com/uoftcprg/pokerkit	true	true	false	none
https://paperswithcode.com/paper/inline-photometrically-calibrated-hybrid	Inline Photometrically Calibrated Hybrid Visual SLAM	2409.16810	https://arxiv.org/abs/2409.16810v1	https://arxiv.org/pdf/2409.16810v1.pdf	https://github.com/AUBVRL/HSLAM_docker	true	false	false	none
https://paperswithcode.com/paper/crafting-interpretable-embeddings-by-asking	Crafting Interpretable Embeddings by Asking LLMs Questions	2405.16714	https://arxiv.org/abs/2405.16714v1	https://arxiv.org/pdf/2405.16714v1.pdf	https://github.com/csinva/interpretable-embeddings	true	false	true	none
https://paperswithcode.com/paper/causalconceptts-causal-attributions-for-time	CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models	2405.15871	https://arxiv.org/abs/2405.15871v1	https://arxiv.org/pdf/2405.15871v1.pdf	https://github.com/ai4healthuol/causalconceptts	true	true	true	pytorch
https://paperswithcode.com/paper/we-should-identify-and-mitigate-third-party	We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems	2506.13666	https://arxiv.org/abs/2506.13666v1	https://arxiv.org/pdf/2506.13666v1.pdf	https://github.com/littlelittlenine/safemcp	true	true	false	none
https://paperswithcode.com/paper/do-not-answer-a-dataset-for-evaluating	Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs	2308.13387	https://arxiv.org/abs/2308.13387v2	https://arxiv.org/pdf/2308.13387v2.pdf	https://github.com/libr-ai/do-not-answer	true	true	true	none
https://paperswithcode.com/paper/3d-unsupervised-learning-by-distilling-2d	3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving	2405.15286	https://arxiv.org/abs/2405.15286v3	https://arxiv.org/pdf/2405.15286v3.pdf	https://github.com/sbysbysbys/afov	true	true	false	pytorch
https://paperswithcode.com/paper/on-fairness-of-medical-image-classification	On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations	2301.01481	https://arxiv.org/abs/2301.01481v3	https://arxiv.org/pdf/2301.01481v3.pdf	https://github.com/ubc-tea/fcro-fair-classification-orthogonal-representation	true	true	true	pytorch
https://paperswithcode.com/paper/detectorless-3d-terahertz-imaging-achieving	Detectorless 3D terahertz imaging: achieving subwavelength resolution with reflectance confocal interferometric microscopy	2412.18403	https://arxiv.org/abs/2412.18403v4	https://arxiv.org/pdf/2412.18403v4.pdf	https://github.com/jrgsilv/beam-propagation	true	true	false	none
https://paperswithcode.com/paper/cross-view-masked-diffusion-transformers-for	Cross-view Masked Diffusion Transformers for Person Image Synthesis	2402.01516	https://arxiv.org/abs/2402.01516v2	https://arxiv.org/pdf/2402.01516v2.pdf	https://github.com/trungpx/xmdpt	true	true	true	pytorch
https://paperswithcode.com/paper/text2ac-zero-consistent-synthesis-of-animated	LatentMan: Generating Consistent Animated Characters using Image Diffusion Models	2312.07133	https://arxiv.org/abs/2312.07133v2	https://arxiv.org/pdf/2312.07133v2.pdf	https://github.com/abdo-eldesokey/latentman	true	true	true	pytorch
https://paperswithcode.com/paper/pose-guidance-by-supervision-a-framework-for	PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification	2312.05634	https://arxiv.org/abs/2312.05634v3	https://arxiv.org/pdf/2312.05634v3.pdf	https://github.com/huyquoctrinh/pgds	true	true	true	pytorch
https://paperswithcode.com/paper/alirector-alignment-enhanced-chinese	Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector	2402.04601	https://arxiv.org/abs/2402.04601v2	https://arxiv.org/pdf/2402.04601v2.pdf	https://github.com/yanghh2000/alirector	true	true	false	pytorch
https://paperswithcode.com/paper/gift-generative-interpretable-fine-tuning	Generative Parameter-Efficient Fine-Tuning	2312.00700	https://arxiv.org/abs/2312.00700v4	https://arxiv.org/pdf/2312.00700v4.pdf	https://github.com/savadikarc/gift	true	true	true	pytorch
https://paperswithcode.com/paper/phase-aware-speech-enhancement-with-deep-1	Phase-aware Speech Enhancement with Deep Complex U-Net	1903.03107	http://arxiv.org/abs/1903.03107v2	http://arxiv.org/pdf/1903.03107v2.pdf	https://github.com/ContigoAI/tf1-phase-aware-speech-enhancement	false	false	false	tf
https://paperswithcode.com/paper/grootvl-tree-topology-is-all-you-need-in	GrootVL: Tree Topology is All You Need in State Space Model	2406.02395	https://arxiv.org/abs/2406.02395v1	https://arxiv.org/pdf/2406.02395v1.pdf	https://github.com/easonxiao-888/grootvl	true	true	true	jax
https://paperswithcode.com/paper/factgenius-combining-zero-shot-prompting-and	FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs	2406.01311	https://arxiv.org/abs/2406.01311v1	https://arxiv.org/pdf/2406.01311v1.pdf	https://github.com/sushantgautam/factgenius	true	true	false	none
https://paperswithcode.com/paper/eit-enhanced-interactive-transformer	EIT: Enhanced Interactive Transformer	2212.10197	https://arxiv.org/abs/2212.10197v2	https://arxiv.org/pdf/2212.10197v2.pdf	https://github.com/zhengkid/eit-enhanced-interactive-transformer	true	true	false	none
https://paperswithcode.com/paper/densegnn-universal-and-scalable-deeper-graph	DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules	2501.03278	https://arxiv.org/abs/2501.03278v1	https://arxiv.org/pdf/2501.03278v1.pdf	https://github.com/dhw059/densegnn	true	true	false	tf
https://paperswithcode.com/paper/multifaceteval-multifaceted-evaluation-to	MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge	2406.02919	https://arxiv.org/abs/2406.02919v1	https://arxiv.org/pdf/2406.02919v1.pdf	https://github.com/thumlp/multifaceteval	true	true	false	pytorch
https://paperswithcode.com/paper/spikelm-towards-general-spike-driven-language	SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms	2406.03287	https://arxiv.org/abs/2406.03287v1	https://arxiv.org/pdf/2406.03287v1.pdf	https://github.com/xingrun-xing/spikelm	true	true	false	pytorch
https://paperswithcode.com/paper/specexec-massively-parallel-speculative	SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices	2406.02532	https://arxiv.org/abs/2406.02532v3	https://arxiv.org/pdf/2406.02532v3.pdf	https://github.com/yandex-research/specexec	true	true	true	pytorch
https://paperswithcode.com/paper/zero-shot-machine-unlearning-at-scale-via	An Information Theoretic Approach to Machine Unlearning	2402.01401	https://arxiv.org/abs/2402.01401v4	https://arxiv.org/pdf/2402.01401v4.pdf	https://github.com/jwf40/information-theoretic-unlearning	true	true	true	pytorch
https://paperswithcode.com/paper/adaptive-slot-attention-object-discovery-with-1	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number	2406.09196	https://arxiv.org/abs/2406.09196v1	https://arxiv.org/pdf/2406.09196v1.pdf	https://github.com/lucidrains/slot-attention	false	false	true	pytorch
https://paperswithcode.com/paper/transformers-are-sample-efficient-world	Transformers are Sample-Efficient World Models	2209.00588	https://arxiv.org/abs/2209.00588v2	https://arxiv.org/pdf/2209.00588v2.pdf	https://github.com/vmicheli/delta-iris	false	false	true	pytorch
https://paperswithcode.com/paper/topviewrs-vision-language-models-as-top-view	TopViewRS: Vision-Language Models as Top-View Spatial Reasoners	2406.02537	https://arxiv.org/abs/2406.02537v1	https://arxiv.org/pdf/2406.02537v1.pdf	https://github.com/cambridgeltl/topviewrs	true	true	true	none
https://paperswithcode.com/paper/dwnet-dense-warp-based-network-for-pose	DwNet: Dense warp-based network for pose-guided human video generation	1910.09139	https://arxiv.org/abs/1910.09139v1	https://arxiv.org/pdf/1910.09139v1.pdf	https://github.com/ai-med/stablepose	false	false	true	pytorch
https://paperswithcode.com/paper/humansd-a-native-skeleton-guided-diffusion	HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation	2304.04269	https://arxiv.org/abs/2304.04269v1	https://arxiv.org/pdf/2304.04269v1.pdf	https://github.com/ai-med/stablepose	false	false	true	pytorch
https://paperswithcode.com/paper/tackling-non-stationarity-in-reinforcement	Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation	2306.02747	https://arxiv.org/abs/2306.02747v3	https://arxiv.org/pdf/2306.02747v3.pdf	https://github.com/pku-rl/corep	true	true	true	pytorch
https://paperswithcode.com/paper/adafisher-adaptive-second-order-optimization	AdaFisher: Adaptive Second Order Optimization via Fisher Information	2405.16397	https://arxiv.org/abs/2405.16397v3	https://arxiv.org/pdf/2405.16397v3.pdf	https://github.com/AtlasAnalyticsLab/AdaFisher	true	true	true	pytorch
https://paperswithcode.com/paper/automated-focused-feedback-generation-for	Automated Focused Feedback Generation for Scientific Writing Assistance	2405.20477	https://arxiv.org/abs/2405.20477v2	https://arxiv.org/pdf/2405.20477v2.pdf	https://github.com/ericchamoun/FocusedFeedbackGeneration	true	true	true	none
https://paperswithcode.com/paper/ttm-re-memory-augmented-document-level	TTM-RE: Memory-Augmented Document-Level Relation Extraction	2406.05906	https://arxiv.org/abs/2406.05906v1	https://arxiv.org/pdf/2406.05906v1.pdf	https://github.com/chufangao/ttm-re	true	true	true	pytorch
https://paperswithcode.com/paper/multi-swap-k-means	Multi-Swap $k$-Means++	2309.16384	https://arxiv.org/abs/2309.16384v2	https://arxiv.org/pdf/2309.16384v2.pdf	https://github.com/lorenzo2beretta/multi-swap-k-means-pp	true	true	true	none
https://paperswithcode.com/paper/trusting-your-evidence-hallucinate-less-with	Trusting Your Evidence: Hallucinate Less with Context-aware Decoding	2305.14739	https://arxiv.org/abs/2305.14739v1	https://arxiv.org/pdf/2305.14739v1.pdf	https://github.com/danshi777/ircan	false	false	true	pytorch
https://paperswithcode.com/paper/score-based-causal-representation-learning-1	Score-based Causal Representation Learning: Linear and General Transformations	2402.00849	https://arxiv.org/abs/2402.00849v3	https://arxiv.org/pdf/2402.00849v3.pdf	https://github.com/acarturk-e/score-based-crl	true	true	true	pytorch
https://paperswithcode.com/paper/general-identifiability-and-achievability-for	General Identifiability and Achievability for Causal Representation Learning	2310.15450	https://arxiv.org/abs/2310.15450v2	https://arxiv.org/pdf/2310.15450v2.pdf	https://github.com/acarturk-e/score-based-crl	false	false	true	pytorch
https://paperswithcode.com/paper/fine-tuning-wav2vec2-for-speaker-recognition	Fine-tuning wav2vec2 for speaker recognition	2109.15053	https://arxiv.org/abs/2109.15053v2	https://arxiv.org/pdf/2109.15053v2.pdf	https://github.com/MS-P3/code7/tree/main/wav2vec2	false	false	false	mindspore
https://paperswithcode.com/paper/a-modelling-framework-for-the-analysis-of-the	A modelling framework for the analysis of the SARS-CoV2 transmission dynamics	2203.03773	https://arxiv.org/abs/2203.03773v3	https://arxiv.org/pdf/2203.03773v3.pdf	https://github.com/anastasiachtz/seir-gbm	true	true	true	none
https://paperswithcode.com/paper/reframing-the-relationship-in-out-of	Concept Matching with Agent for Out-of-Distribution Detection	2405.16766	https://arxiv.org/abs/2405.16766v2	https://arxiv.org/pdf/2405.16766v2.pdf	https://github.com/yuxiaoleemarks/cma	true	true	false	none
https://paperswithcode.com/paper/evaluating-extensions-to-lcdm-an-application	Evaluating extensions to LCDM: an application of Bayesian model averaging and selection	2403.02120	https://arxiv.org/abs/2403.02120v4	https://arxiv.org/pdf/2403.02120v4.pdf	https://github.com/simonpara/fast-mpc	false	false	true	none
https://paperswithcode.com/paper/dataset-condensation-for-time-series	Dataset Condensation for Time Series Classification via Dual Domain Matching	2403.07245	https://arxiv.org/abs/2403.07245v3	https://arxiv.org/pdf/2403.07245v3.pdf	https://github.com/zhyliu00/TimeSeriesCond	true	true	false	pytorch
https://paperswithcode.com/paper/sslam-enhancing-self-supervised-models-with-1	SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes	2506.12222	https://arxiv.org/abs/2506.12222v1	https://arxiv.org/pdf/2506.12222v1.pdf	https://github.com/ta012/SSLAM	false	true	false	pytorch
https://paperswithcode.com/paper/the-signaling-dimension-of-two-dimensional	The signaling dimension of two-dimensional and polytopic systems	2407.17725	https://arxiv.org/abs/2407.17725v1	https://arxiv.org/pdf/2407.17725v1.pdf	https://github.com/syu-shu/sigdim	true	true	false	none
https://paperswithcode.com/paper/togs-gaussian-splatting-with-temporal-opacity	TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering	2403.19586	https://arxiv.org/abs/2403.19586v2	https://arxiv.org/pdf/2403.19586v2.pdf	https://github.com/hustvl/TOGS	true	true	true	pytorch
https://paperswithcode.com/paper/xmem-long-term-video-object-segmentation-with	XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model	2207.07115	https://arxiv.org/abs/2207.07115v2	https://arxiv.org/pdf/2207.07115v2.pdf	https://github.com/tianyuan168326/videosemanticcompression-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/vript-a-video-is-worth-thousands-of-words	Vript: A Video Is Worth Thousands of Words	2406.06040	https://arxiv.org/abs/2406.06040v2	https://arxiv.org/pdf/2406.06040v2.pdf	https://github.com/mutonix/vript	true	true	true	pytorch
https://paperswithcode.com/paper/q-ground-image-quality-grounding-with-large	Q-Ground: Image Quality Grounding with Large Multi-modality Models	2407.17035	https://arxiv.org/abs/2407.17035v1	https://arxiv.org/pdf/2407.17035v1.pdf	https://github.com/q-future/q-ground	true	true	true	none
https://paperswithcode.com/paper/persistent-homology-for-structural	Persistent Homology for Structural Characterization in Disordered Systems	2411.14390	https://arxiv.org/abs/2411.14390v8	https://arxiv.org/pdf/2411.14390v8.pdf	https://github.com/anwanguow/PH_structural	true	true	true	none
https://paperswithcode.com/paper/dynamics-of-quantum-turbulence-in-axially	Dynamics of quantum turbulence in axially rotating thermal counterflow	2407.06311	https://arxiv.org/abs/2407.06311v1	https://arxiv.org/pdf/2407.06311v1.pdf	https://bitbucket.org/emil_varga/openvort	true	false	false	none
https://paperswithcode.com/paper/open-vocabulary-calibration-for-vision	Open-Vocabulary Calibration for Fine-tuned CLIP	2402.04655	https://arxiv.org/abs/2402.04655v4	https://arxiv.org/pdf/2402.04655v4.pdf	https://github.com/ml-stat-Sustech/CLIP_Calibration	true	true	true	pytorch
https://paperswithcode.com/paper/enhancing-end-to-end-autonomous-driving-with	Enhancing End-to-End Autonomous Driving with Latent World Model	2406.08481	https://arxiv.org/abs/2406.08481v1	https://arxiv.org/pdf/2406.08481v1.pdf	https://github.com/bravegroup/law	true	true	true	pytorch
https://paperswithcode.com/paper/combining-graph-neural-network-and-mamba-to	Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images	2406.04377	https://arxiv.org/abs/2406.04377v1	https://arxiv.org/pdf/2406.04377v1.pdf	https://github.com/rina-ding/gat-mamba	true	true	true	pytorch
https://paperswithcode.com/paper/towards-hetero-client-federated-multi-task	FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning	2311.13250	https://arxiv.org/abs/2311.13250v2	https://arxiv.org/pdf/2311.13250v2.pdf	https://github.com/innovator-zero/fedhca2	false	false	true	pytorch
https://paperswithcode.com/paper/autoregressive-pretraining-with-mamba-in	Autoregressive Pretraining with Mamba in Vision	2406.07537	https://arxiv.org/abs/2406.07537v1	https://arxiv.org/pdf/2406.07537v1.pdf	https://github.com/oliverrensu/arm	true	true	true	pytorch
https://paperswithcode.com/paper/transact-transformer-based-realtime-user	TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest	2306.00248	https://arxiv.org/abs/2306.00248v1	https://arxiv.org/pdf/2306.00248v1.pdf	https://github.com/reczoo/FuxiCTR	false	false	true	pytorch
https://paperswithcode.com/paper/machine-learning-classification-of-fast-radio	Machine learning classification of CHIME fast radio bursts: II. Unsupervised Methods	2210.02471	https://arxiv.org/abs/2210.02471v3	https://arxiv.org/pdf/2210.02471v3.pdf	https://github.com/ArjunS07/pu-learning-for-frbs-2023	false	false	true	none
https://paperswithcode.com/paper/boosting-zero-shot-crosslingual-performance	Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection	2407.10582	https://arxiv.org/abs/2407.10582v1	https://arxiv.org/pdf/2407.10582v1.pdf	https://github.com/csalt-research/llm-based-augmentations-with-effective-data-selection	true	true	false	pytorch
https://paperswithcode.com/paper/active-learning-for-derivative-based-global	Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes	2407.09739	https://arxiv.org/abs/2407.09739v2	https://arxiv.org/pdf/2407.09739v2.pdf	https://github.com/belakaria/al-gsa-dgsms	true	true	false	pytorch
https://paperswithcode.com/paper/no-train-all-gain-self-supervised-gradients	No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations	2407.10964	https://arxiv.org/abs/2407.10964v2	https://arxiv.org/pdf/2407.10964v2.pdf	https://github.com/waltersimoncini/fungivision	true	true	true	pytorch
https://paperswithcode.com/paper/video-diffusion-alignment-via-reward	Video Diffusion Alignment via Reward Gradients	2407.08737	https://arxiv.org/abs/2407.08737v1	https://arxiv.org/pdf/2407.08737v1.pdf	https://github.com/mihirp1998/vader	true	true	true	pytorch
https://paperswithcode.com/paper/securing-confidential-data-for-distributed	Securing Confidential Data For Distributed Software Development Teams: Encrypted Container File	2407.09142	https://arxiv.org/abs/2407.09142v1	https://arxiv.org/pdf/2407.09142v1.pdf	https://github.com/hirnmoder/ecf	true	true	false	none
https://paperswithcode.com/paper/the-scandinavian-embedding-benchmarks	The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding	2406.02396	https://arxiv.org/abs/2406.02396v1	https://arxiv.org/pdf/2406.02396v1.pdf	https://github.com/kennethenevoldsen/scandinavian-embedding-benchmark	true	true	true	none
https://paperswithcode.com/paper/harp-a-large-scale-higher-order-ambisonic	HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset	2411.14207	https://arxiv.org/abs/2411.14207v2	https://arxiv.org/pdf/2411.14207v2.pdf	https://github.com/whojavumusic/harp	true	true	true	none
https://paperswithcode.com/paper/moat-evaluating-lmms-for-capability	MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding	2503.09348	https://arxiv.org/abs/2503.09348v1	https://arxiv.org/pdf/2503.09348v1.pdf	https://github.com/Cambrian-yzt/MOAT	true	false	true	none
https://paperswithcode.com/paper/stranger-danger-identifying-and-avoiding	Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation	2407.06056	https://arxiv.org/abs/2407.06056v1	https://arxiv.org/pdf/2407.06056v1.pdf	https://github.com/sarapohland/stranger-danger	true	true	true	pytorch
https://paperswithcode.com/paper/an-empirical-comparison-of-vocabulary	An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models	2407.05841	https://arxiv.org/abs/2407.05841v2	https://arxiv.org/pdf/2407.05841v2.pdf	https://github.com/AI4Bharat/VocabAdaptation_LLM	true	true	false	pytorch
https://paperswithcode.com/paper/a-computational-study-of-a-class-of-recursive	A computational study of a class of recursive inequalities	2207.14559	https://arxiv.org/abs/2207.14559v2	https://arxiv.org/pdf/2207.14559v2.pdf	https://github.com/Kejineri/Proof-mining-	false	false	true	none
https://paperswithcode.com/paper/p-icl-point-in-context-learning-for-named	P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models	2405.04960	https://arxiv.org/abs/2405.04960v2	https://arxiv.org/pdf/2405.04960v2.pdf	https://github.com/jiangguochaogg/p-icl	true	true	false	pytorch
https://paperswithcode.com/paper/protsolm-protein-solubility-prediction-with	ProtSolM: Protein Solubility Prediction with Multi-modal Features	2406.19744	https://arxiv.org/abs/2406.19744v1	https://arxiv.org/pdf/2406.19744v1.pdf	https://github.com/tyang816/ProtSolM	true	false	false	pytorch
https://paperswithcode.com/paper/close-but-not-there-boosting-geographic	Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition	2407.02422	https://arxiv.org/abs/2407.02422v1	https://arxiv.org/pdf/2407.02422v1.pdf	https://github.com/serizba/cliquemining	true	false	true	pytorch
https://paperswithcode.com/paper/ceci-n-est-pas-une-pomme-adversarial	Adversarial Illusions in Multi-Modal Embeddings	2308.11804	https://arxiv.org/abs/2308.11804v4	https://arxiv.org/pdf/2308.11804v4.pdf	https://github.com/ebagdasa/adversarial_illusions	true	true	true	pytorch
https://paperswithcode.com/paper/towards-neural-scaling-laws-for-foundation	Towards Neural Scaling Laws for Foundation Models on Temporal Graphs	2406.10426	https://arxiv.org/abs/2406.10426v2	https://arxiv.org/pdf/2406.10426v2.pdf	https://github.com/benjaminnNgo/ScalingTGNs	true	true	false	pytorch
https://paperswithcode.com/paper/quantune-post-training-quantization-of	Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment	2202.05048	https://arxiv.org/abs/2202.05048v2	https://arxiv.org/pdf/2202.05048v2.pdf	https://github.com/etri/nest-compiler	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.