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/fair-learning-with-private-demographic-data	Fair Learning with Private Demographic Data	2002.11651	https://arxiv.org/abs/2002.11651v2	https://arxiv.org/pdf/2002.11651v2.pdf	https://github.com/husseinmozannar/fairlearn_private_data	true	true	true	none
https://paperswithcode.com/paper/a-forward-modelling-approach-to-overcome-psf	A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies	2403.08175	https://arxiv.org/abs/2403.08175v1	https://arxiv.org/pdf/2403.08175v1.pdf	https://github.com/astrobenji/lenstronomy-metals-notebooks	true	true	true	none
https://paperswithcode.com/paper/randomized-quantization-for-data-agnostic	Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning	2212.08663	https://arxiv.org/abs/2212.08663v2	https://arxiv.org/pdf/2212.08663v2.pdf	https://github.com/pipiPdesu/random_quantize	false	false	false	mindspore
https://paperswithcode.com/paper/denis-sdn-software-defined-network-slicing	DENIS-SDN: Software-Defined Network Slicing Solution for Dense and Ultra-Dense IoT Networks	2312.13662	https://arxiv.org/abs/2312.13662v1	https://arxiv.org/pdf/2312.13662v1.pdf	https://github.com/swnrg/denis-sdn	true	true	false	none
https://paperswithcode.com/paper/phylogenetic-tree-distance-computation-over	Phylogenetic tree distance computation over succinct representations	2312.14029	https://arxiv.org/abs/2312.14029v1	https://arxiv.org/pdf/2312.14029v1.pdf	https://github.com/pedroparedesbranco/treediff	true	true	false	none
https://paperswithcode.com/paper/towards-machine-unlearning-benchmarks	Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems	2311.02240	https://arxiv.org/abs/2311.02240v2	https://arxiv.org/pdf/2311.02240v2.pdf	https://github.com/ndb796/machineunlearning	true	true	true	pytorch
https://paperswithcode.com/paper/generating-continuations-in-multilingual	Generating Continuations in Multilingual Idiomatic Contexts	2310.20195	https://arxiv.org/abs/2310.20195v2	https://arxiv.org/pdf/2310.20195v2.pdf	https://github.com/portnlp/llm-in-idiomatic-context	true	true	true	none
https://paperswithcode.com/paper/high-fidelity-multi-qubit-generalized	High-fidelity, multi-qubit generalized measurements with dynamic circuits	2312.14087	https://arxiv.org/abs/2312.14087v2	https://arxiv.org/pdf/2312.14087v2.pdf	https://github.com/petr-ivashkov/dynamic-circuit-povms	true	true	false	none
https://paperswithcode.com/paper/a-contrastive-approach-to-online-change-point	A Contrastive Approach to Online Change Point Detection	2206.10143	https://arxiv.org/abs/2206.10143v3	https://arxiv.org/pdf/2206.10143v3.pdf	https://github.com/npuchkin/contrastive_change_point_detection_extended	true	true	false	none
https://paperswithcode.com/paper/multi-label-classification-with-high-rank-and	Multi-label Classification with High-rank and High-order Label Correlations	2207.04197	https://arxiv.org/abs/2207.04197v2	https://arxiv.org/pdf/2207.04197v2.pdf	https://github.com/chongjie-si/homi	true	true	false	none
https://paperswithcode.com/paper/investigating-and-scaling-up-code-switching	Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training	2504.01801	https://arxiv.org/abs/2504.01801v1	https://arxiv.org/pdf/2504.01801v1.pdf	https://github.com/zjwang21/syncs	true	true	true	pytorch
https://paperswithcode.com/paper/massively-parallel-multiview-stereopsis-by	Massively Parallel Multiview Stereopsis by Surface Normal Diffusion	null	http://openaccess.thecvf.com/content_iccv_2015/html/Galliani_Massively_Parallel_Multiview_ICCV_2015_paper.html	http://openaccess.thecvf.com/content_iccv_2015/papers/Galliani_Massively_Parallel_Multiview_ICCV_2015_paper.pdf	https://github.com/kysucix/gipuma	true	false	false	none
https://paperswithcode.com/paper/espaloma-0-3-0-machine-learned-molecular	Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond	2307.07085	https://arxiv.org/abs/2307.07085v4	https://arxiv.org/pdf/2307.07085v4.pdf	https://github.com/openmm/openmmforcefields	false	false	true	none
https://paperswithcode.com/paper/column-randomized-linear-programs-performance	Column-Randomized Linear Programs: Performance Guarantees and Applications	2007.10461	https://arxiv.org/abs/2007.10461v5	https://arxiv.org/pdf/2007.10461v5.pdf	https://github.com/yi-chun-akchen/column-randomized_lp	true	true	false	none
https://paperswithcode.com/paper/motioneditor-editing-video-motion-via-content	MotionEditor: Editing Video Motion via Content-Aware Diffusion	2311.18830	https://arxiv.org/abs/2311.18830v1	https://arxiv.org/pdf/2311.18830v1.pdf	https://github.com/Francis-Rings/MotionEditor	true	false	true	pytorch
https://paperswithcode.com/paper/efficient-and-robust-jet-tagging-at-the-lhc	Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation	2311.14160	https://arxiv.org/abs/2311.14160v1	https://arxiv.org/pdf/2311.14160v1.pdf	https://github.com/ryanliu30/kd4jets	true	true	true	pytorch
https://paperswithcode.com/paper/a-multi-modal-contrastive-diffusion-model-for	A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation	2312.15665	https://arxiv.org/abs/2312.15665v2	https://arxiv.org/pdf/2312.15665v2.pdf	https://github.com/wyky481l/mmcd	true	true	false	pytorch
https://paperswithcode.com/paper/next-token-prediction-towards-multimodal	Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey	2412.18619	https://arxiv.org/abs/2412.18619v2	https://arxiv.org/pdf/2412.18619v2.pdf	https://github.com/lmm101/awesome-multimodal-next-token-prediction	true	true	true	pytorch
https://paperswithcode.com/paper/intuitionism-with-truth-tables-a-decision	Intuitionism with Truth Tables: A Decision Procedure for IPL Based on RNmatrices	2308.13664	https://arxiv.org/abs/2308.13664v2	https://arxiv.org/pdf/2308.13664v2.pdf	https://github.com/renatoleme/forest	true	true	false	none
https://paperswithcode.com/paper/mcpns-a-macropixel-collocated-position-and	MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding	2310.08006	https://arxiv.org/abs/2310.08006v3	https://arxiv.org/pdf/2310.08006v3.pdf	https://github.com/duongvinh/mcpns	true	true	true	none
https://paperswithcode.com/paper/mastering-diverse-domains-through-world	Mastering Diverse Domains through World Models	2301.04104	https://arxiv.org/abs/2301.04104v2	https://arxiv.org/pdf/2301.04104v2.pdf	https://github.com/Alescontrela/viper_rl	false	false	true	jax
https://paperswithcode.com/paper/prediction-powered-generalization-of-causal	Prediction-powered Generalization of Causal Inferences	2406.02873	https://arxiv.org/abs/2406.02873v1	https://arxiv.org/pdf/2406.02873v1.pdf	https://github.com/demireal/ppci	true	true	false	none
https://paperswithcode.com/paper/the-poset-of-normalized-ideals-of-numerical	The poset of normalized ideals of numerical semigroups with multiplicity three	2407.21697	https://arxiv.org/abs/2407.21697v1	https://arxiv.org/pdf/2407.21697v1.pdf	https://github.com/numerical-semigroups/ideal-class-monoid	true	true	true	none
https://paperswithcode.com/paper/factorized-linear-discriminant-analysis-for-1	Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes	2010.02171	https://arxiv.org/abs/2010.02171v7	https://arxiv.org/pdf/2010.02171v7.pdf	https://github.com/muqiao0626/flda-in-computbiol	true	true	true	none
https://paperswithcode.com/paper/sequence-only-prediction-of-binding-affinity	Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering	2505.20301	https://arxiv.org/abs/2505.20301v1	https://arxiv.org/pdf/2505.20301v1.pdf	https://github.com/code4luck/protattba	true	true	false	pytorch
https://paperswithcode.com/paper/construct-3d-hand-skeleton-with-commercial	Construct 3D Hand Skeleton with Commercial WiFi	2312.15507	https://arxiv.org/abs/2312.15507v1	https://arxiv.org/pdf/2312.15507v1.pdf	https://github.com/sijieji/handfi	true	true	false	none
https://paperswithcode.com/paper/advancements-in-arabic-grammatical-error	Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation	2305.14734	https://arxiv.org/abs/2305.14734v2	https://arxiv.org/pdf/2305.14734v2.pdf	https://github.com/camel-lab/arabic-gec	true	true	true	jax
https://paperswithcode.com/paper/benchmarking-optimization-software-with	Benchmarking Optimization Software with Performance Profiles	cs/0102001	https://arxiv.org/abs/cs/0102001v2	https://arxiv.org/pdf/cs/0102001v2.pdf	https://github.com/corradocoppola97/CMA_v2	false	false	true	pytorch
https://paperswithcode.com/paper/learned-compression-of-encoding-distributions	Learned Compression of Encoding Distributions	2406.13059	https://arxiv.org/abs/2406.13059v1	https://arxiv.org/pdf/2406.13059v1.pdf	https://github.com/multimedialabsfu/learned-compression-of-encoding-distributions	true	false	true	pytorch
https://paperswithcode.com/paper/nonlinear-mpc-for-quadrotors-in-close	Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural Network Downwash Prediction	2304.07794	https://arxiv.org/abs/2304.07794v2	https://arxiv.org/pdf/2304.07794v2.pdf	https://github.com/li-jinjie/ndp_nmpc_qd	true	true	true	pytorch
https://paperswithcode.com/paper/signguard-byzantine-robust-federated-learning	Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering	2109.05872	https://arxiv.org/abs/2109.05872v2	https://arxiv.org/pdf/2109.05872v2.pdf	https://github.com/bladesteam/blades	false	false	true	pytorch
https://paperswithcode.com/paper/andi-the-anomalous-diffusion-challenge	AnDi: The Anomalous Diffusion Challenge	2003.12036	http://arxiv.org/abs/2003.12036v1	http://arxiv.org/pdf/2003.12036v1.pdf	https://github.com/huangzih/AnDi-Challenge	false	false	true	pytorch
https://paperswithcode.com/paper/combinatorial-multi-armed-bandit-based	Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing	null	https://ieeexplore.ieee.org/document/9155518	https://cis.temple.edu/~wu/research/publications/Publication_files/gao_infocom_2020.pdf	https://github.com/DURUII/Replica-EUWR	false	false	false	none
https://paperswithcode.com/paper/transformer-in-transformer-as-backbone-for	Transformer in Transformer as Backbone for Deep Reinforcement Learning	2212.14538	https://arxiv.org/abs/2212.14538v2	https://arxiv.org/pdf/2212.14538v2.pdf	https://github.com/maohangyu/TIT_open_source	true	false	true	pytorch
https://paperswithcode.com/paper/naturalcodebench-examining-coding-performance	NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts	2405.04520	https://arxiv.org/abs/2405.04520v1	https://arxiv.org/pdf/2405.04520v1.pdf	https://github.com/thudm/naturalcodebench	false	false	true	none
https://paperswithcode.com/paper/improving-gbdt-performance-on-imbalanced	Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions	2407.14381	https://arxiv.org/abs/2407.14381v1	https://arxiv.org/pdf/2407.14381v1.pdf	https://github.com/Luojiaqimath/ClassbalancedLoss4GBDT	true	false	false	none
https://paperswithcode.com/paper/reliable-object-tracking-by-multimodal-hybrid	Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion	2405.17903	https://arxiv.org/abs/2405.17903v1	https://arxiv.org/pdf/2405.17903v1.pdf	https://github.com/GuoLab-UESTC/MMHT	true	false	true	pytorch
https://paperswithcode.com/paper/uncovering-emergent-spacetime-supersymmetry	Uncovering Emergent Spacetime Supersymmetry with Rydberg Atom Arrays	2407.08194	https://arxiv.org/abs/2407.08194v3	https://arxiv.org/pdf/2407.08194v3.pdf	https://github.com/chengshul/RydbergSUSY	true	false	false	none
https://paperswithcode.com/paper/strategic-evaluation-in-optimizing-the	Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer	2007.10121	https://arxiv.org/abs/2007.10121v1	https://arxiv.org/pdf/2007.10121v1.pdf	https://github.com/hcshipra/researchpublication	true	false	false	none
https://paperswithcode.com/paper/provably-fast-convergence-of-independent	Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games	null	https://openreview.net/forum?id=mA7nTGXjD3	https://openreview.net/pdf?id=mA7nTGXjD3	https://github.com/sundave1998/independent-npg-mpg	true	true	false	pytorch
https://paperswithcode.com/paper/adversarial-counterfactual-environment-model	Adversarial Counterfactual Environment Model Learning	null	https://openreview.net/forum?id=rHAX0LRwk8	https://openreview.net/pdf?id=rHAX0LRwk8	https://github.com/xionghuichen/galileo	true	true	false	tf
https://paperswithcode.com/paper/memory-encoding-model	Memory Encoding Model	2308.01175	https://arxiv.org/abs/2308.01175v1	https://arxiv.org/pdf/2308.01175v1.pdf	https://github.com/huzeyann/MemoryEncodingModel	true	false	true	pytorch
https://paperswithcode.com/paper/can-mass-change-the-diffusion-coefficient-of	Mass changes the diffusion coefficient of particles with ligand-receptor contacts in the overdamped limit	2112.05266	https://arxiv.org/abs/2112.05266v2	https://arxiv.org/pdf/2112.05266v2.pdf	https://github.com/smarbach/dnacoatedcolloidsinteractions	true	true	false	none
https://paperswithcode.com/paper/a-machine-learning-approach-for-computing	A machine learning approach for computing solar flare locations in X-rays on-board Solar Orbiter/STIX	2408.16642	https://arxiv.org/abs/2408.16642v1	https://arxiv.org/pdf/2408.16642v1.pdf	https://github.com/paolomassa/STX_CFL_NN	true	false	false	tf
https://paperswithcode.com/paper/autoregressive-omni-aware-outpainting-for	Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation	2309.03467	https://arxiv.org/abs/2309.03467v2	https://arxiv.org/pdf/2309.03467v2.pdf	https://github.com/zhuqiangLu/AOG-NET-360	true	true	false	pytorch
https://paperswithcode.com/paper/riemannian-preconditioned-algorithms-for	Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition	2302.14456	https://arxiv.org/abs/2302.14456v2	https://arxiv.org/pdf/2302.14456v2.pdf	https://github.com/jimmypeng1998/lrtctr	false	false	true	none
https://paperswithcode.com/paper/chatillusion-efficient-aligning-interleaved	M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation	2311.17963	https://arxiv.org/abs/2311.17963v2	https://arxiv.org/pdf/2311.17963v2.pdf	https://github.com/litwellchi/chatillusion	true	true	true	pytorch
https://paperswithcode.com/paper/a-graph-theoretic-framework-for-understanding-1	A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning	2311.03524	https://arxiv.org/abs/2311.03524v1	https://arxiv.org/pdf/2311.03524v1.pdf	https://github.com/deeplearning-wisc/sorl	true	true	false	pytorch
https://paperswithcode.com/paper/learning-anatomically-consistent-embedding	Learning Anatomically Consistent Embedding for Chest Radiography	2312.00335	https://arxiv.org/abs/2312.00335v2	https://arxiv.org/pdf/2312.00335v2.pdf	https://github.com/jlianglab/peac	true	true	true	pytorch
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection	Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines	2312.00100	https://arxiv.org/abs/2312.00100v1	https://arxiv.org/pdf/2312.00100v1.pdf	https://github.com/mythologos/augustinian-sermon-parallelisms	true	true	false	none
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection	Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines	2312.00100	https://arxiv.org/abs/2312.00100v1	https://arxiv.org/pdf/2312.00100v1.pdf	https://github.com/mythologos/paibi-student-essays	true	true	false	none
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection	Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines	2312.00100	https://arxiv.org/abs/2312.00100v1	https://arxiv.org/pdf/2312.00100v1.pdf	https://github.com/mythologos/intro-rpd	true	true	false	pytorch
https://paperswithcode.com/paper/on-filter-generalization-for-music-bandwidth	On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks	2011.07274	https://arxiv.org/abs/2011.07274v2	https://arxiv.org/pdf/2011.07274v2.pdf	https://github.com/serkansulun/deep-music-enhancer	true	true	true	pytorch
https://paperswithcode.com/paper/logic-of-thought-empowering-large-language	Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language	2505.16114	https://arxiv.org/abs/2505.16114v1	https://arxiv.org/pdf/2505.16114v1.pdf	https://github.com/naiqili/logic-of-thought	true	true	false	none
https://paperswithcode.com/paper/predict-the-next-word-humans-exhibit	Predict the Next Word: Humans exhibit uncertainty in this task and language models _____	2402.17527	https://arxiv.org/abs/2402.17527v2	https://arxiv.org/pdf/2402.17527v2.pdf	https://github.com/evgeniael/predict_next_word	true	true	true	pytorch
https://paperswithcode.com/paper/constructive-proofs-of-existence-and	Constructive proofs of existence and stability of solitary waves in the Whitham and capillary-gravity Whitham equations	2403.18718	https://arxiv.org/abs/2403.18718v3	https://arxiv.org/pdf/2403.18718v3.pdf	https://github.com/matthieucadiot/whithamsoliton.jl	true	true	true	none
https://paperswithcode.com/paper/c-nerf-representing-scene-changes-as	C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF	2312.02751	https://arxiv.org/abs/2312.02751v2	https://arxiv.org/pdf/2312.02751v2.pdf	https://github.com/c-nerf/c-nerf	true	true	false	pytorch
https://paperswithcode.com/paper/adnet-lane-shape-prediction-via-anchor	ADNet: Lane Shape Prediction via Anchor Decomposition	2308.10481	https://arxiv.org/abs/2308.10481v1	https://arxiv.org/pdf/2308.10481v1.pdf	https://github.com/code-implementation1/Code2/tree/main/ADNet	false	false	false	mindspore
https://paperswithcode.com/paper/can-we-learn-communication-efficient	Can We Learn Communication-Efficient Optimizers?	2312.02204	https://arxiv.org/abs/2312.02204v1	https://arxiv.org/pdf/2312.02204v1.pdf	https://github.com/lefameuxbeding/learned_aggregation	true	true	true	none
https://paperswithcode.com/paper/seva-leveraging-sketches-to-evaluate-1	SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction	2312.03035	https://arxiv.org/abs/2312.03035v1	https://arxiv.org/pdf/2312.03035v1.pdf	https://github.com/cogtoolslab/visual_abstractions_benchmarking_public2023	true	true	false	none
https://paperswithcode.com/paper/improving-bias-mitigation-through-bias	Improving Bias Mitigation through Bias Experts in Natural Language Understanding	2312.03577	https://arxiv.org/abs/2312.03577v1	https://arxiv.org/pdf/2312.03577v1.pdf	https://github.com/jej127/bias-experts	true	true	true	pytorch
https://paperswithcode.com/paper/flashattention-fast-and-memory-efficient	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness	2205.14135	https://arxiv.org/abs/2205.14135v2	https://arxiv.org/pdf/2205.14135v2.pdf	https://github.com/alibaba/megatron-llama	false	false	true	pytorch
https://paperswithcode.com/paper/how-good-is-open-bicycle-infrastructure-data	How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark	2312.02632	https://arxiv.org/abs/2312.02632v1	https://arxiv.org/pdf/2312.02632v1.pdf	https://github.com/anerv/bikedna_big	true	true	false	none
https://paperswithcode.com/paper/continual-driving-policy-optimization-with	Continual Driving Policy Optimization with Closed-Loop Individualized Curricula	2309.14209	https://arxiv.org/abs/2309.14209v4	https://arxiv.org/pdf/2309.14209v4.pdf	https://github.com/YizhouXu-THU/CLIC	true	true	true	pytorch
https://paperswithcode.com/paper/combining-counting-processes-and	Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review	2312.03171	https://arxiv.org/abs/2312.03171v1	https://arxiv.org/pdf/2312.03171v1.pdf	https://github.com/reembinhezam/tar_stopping_cp_clf	true	true	false	none
https://paperswithcode.com/paper/masked-autoencoders-are-scalable-vision	Masked Autoencoders Are Scalable Vision Learners	2111.06377	https://arxiv.org/abs/2111.06377v2	https://arxiv.org/pdf/2111.06377v2.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/flava-a-foundational-language-and-vision	FLAVA: A Foundational Language And Vision Alignment Model	2112.04482	https://arxiv.org/abs/2112.04482v3	https://arxiv.org/pdf/2112.04482v3.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/hierarchical-text-conditional-image	Hierarchical Text-Conditional Image Generation with CLIP Latents	2204.06125	https://arxiv.org/abs/2204.06125v1	https://arxiv.org/pdf/2204.06125v1.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/coca-contrastive-captioners-are-image-text	CoCa: Contrastive Captioners are Image-Text Foundation Models	2205.01917	https://arxiv.org/abs/2205.01917v2	https://arxiv.org/pdf/2205.01917v2.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/blip-2-bootstrapping-language-image-pre	BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models	2301.12597	https://arxiv.org/abs/2301.12597v3	https://arxiv.org/pdf/2301.12597v3.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/align-before-fuse-vision-and-language	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation	2107.07651	https://arxiv.org/abs/2107.07651v2	https://arxiv.org/pdf/2107.07651v2.pdf	https://github.com/facebookresearch/multimodal	false	false	true	pytorch
https://paperswithcode.com/paper/diffusion-models-beat-gans-on-image	Diffusion Models Beat GANs on Image Classification	2307.08702	https://arxiv.org/abs/2307.08702v1	https://arxiv.org/pdf/2307.08702v1.pdf	https://github.com/soumik-kanad/diffssl	false	false	true	pytorch
https://paperswithcode.com/paper/tracking-with-human-intent-reasoning	Tracking with Human-Intent Reasoning	2312.17448	https://arxiv.org/abs/2312.17448v1	https://arxiv.org/pdf/2312.17448v1.pdf	https://github.com/jiawen-zhu/trackgpt	true	true	true	pytorch
https://paperswithcode.com/paper/a-transformer-based-neural-architecture	A Transformer-based Neural Architecture Search Method	2505.01314	https://arxiv.org/abs/2505.01314v1	https://arxiv.org/pdf/2505.01314v1.pdf	https://github.com/ra225/mo-trans	true	true	false	pytorch
https://paperswithcode.com/paper/tissue-cross-section-and-pen-marking	Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images	2401.13511	https://arxiv.org/abs/2401.13511v1	https://arxiv.org/pdf/2401.13511v1.pdf	https://github.com/rtlucassen/slidesegmenter	true	true	true	pytorch
https://paperswithcode.com/paper/learning-to-detect-multi-class-anomalies-with	Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt	2505.09264	https://arxiv.org/abs/2505.09264v1	https://arxiv.org/pdf/2505.09264v1.pdf	https://github.com/gaobb/onenip	true	true	false	pytorch
https://paperswithcode.com/paper/modeling-sequential-sentence-relation-to	Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval	2302.01626	https://arxiv.org/abs/2302.01626v1	https://arxiv.org/pdf/2302.01626v1.pdf	https://github.com/shunyuzh/MSM	true	false	true	pytorch
https://paperswithcode.com/paper/understanding-the-effect-of-model-compression	Understanding the Effect of Model Compression on Social Bias in Large Language Models	2312.05662	https://arxiv.org/abs/2312.05662v2	https://arxiv.org/pdf/2312.05662v2.pdf	https://github.com/gsgoncalves/emnlp2023_llm_compression_and_social_bias	true	true	false	pytorch
https://paperswithcode.com/paper/sharpness-aware-quantization-for-deep-neural	Sharpness-aware Quantization for Deep Neural Networks	2111.12273	https://arxiv.org/abs/2111.12273v5	https://arxiv.org/pdf/2111.12273v5.pdf	https://github.com/yangyucheng000/Paper-3/tree/main/SharpDRO-ms	false	false	false	mindspore
https://paperswithcode.com/paper/udifftext-a-unified-framework-for-high	UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models	2312.04884	https://arxiv.org/abs/2312.04884v1	https://arxiv.org/pdf/2312.04884v1.pdf	https://github.com/zym-pku/udifftext	true	true	true	pytorch
https://paperswithcode.com/paper/language-models-are-few-shot-learners	Language Models are Few-Shot Learners	2005.14165	https://arxiv.org/abs/2005.14165v4	https://arxiv.org/pdf/2005.14165v4.pdf	https://github.com/asahi417/lmppl	false	false	true	none
https://paperswithcode.com/paper/exploring-the-limits-of-transfer-learning	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	1910.10683	https://arxiv.org/abs/1910.10683v4	https://arxiv.org/pdf/1910.10683v4.pdf	https://github.com/asahi417/lmppl	false	false	true	none
https://paperswithcode.com/paper/the-merit-of-river-network-topology-for	The Merit of River Network Topology for Neural Flood Forecasting	2405.19836	https://arxiv.org/abs/2405.19836v1	https://arxiv.org/pdf/2405.19836v1.pdf	https://github.com/nkirschi/neural-flood-forecasting	true	true	false	pytorch
https://paperswithcode.com/paper/solving-token-gradient-conflict-in-mixture-of	Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model	2406.19905	https://arxiv.org/abs/2406.19905v2	https://arxiv.org/pdf/2406.19905v2.pdf	https://github.com/longrongyang/stgc	true	true	true	none
https://paperswithcode.com/paper/radar-perception-in-autonomous-driving-1	Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review	2312.04861	https://arxiv.org/abs/2312.04861v3	https://arxiv.org/pdf/2312.04861v3.pdf	https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception	true	false	true	none
https://paperswithcode.com/paper/can-large-language-model-comprehend-ancient	Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE	2310.09550	https://arxiv.org/abs/2310.09550v1	https://arxiv.org/pdf/2310.09550v1.pdf	https://github.com/isen-zhang/aclue	true	true	true	pytorch
https://paperswithcode.com/paper/cross-domain-few-shot-learning-via-adaptive	Cross-Domain Few-Shot Learning via Adaptive Transformer Networks	2401.13987	https://arxiv.org/abs/2401.13987v1	https://arxiv.org/pdf/2401.13987v1.pdf	https://github.com/naeem-paeedeh/adapter	true	true	false	pytorch
https://paperswithcode.com/paper/multi-view-neural-3d-reconstruction-of-micro	Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy	2401.11541	https://arxiv.org/abs/2401.11541v1	https://arxiv.org/pdf/2401.11541v1.pdf	https://github.com/zju3dv/mvn-afm	true	true	true	pytorch
https://paperswithcode.com/paper/rlcoder-reinforcement-learning-for-repository	RLCoder: Reinforcement Learning for Repository-Level Code Completion	2407.19487	https://arxiv.org/abs/2407.19487v1	https://arxiv.org/pdf/2407.19487v1.pdf	https://github.com/DeepSoftwareAnalytics/RLCoder	true	true	true	pytorch
https://paperswithcode.com/paper/morphable-diffusion-3d-consistent-diffusion	Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation	2401.04728	https://arxiv.org/abs/2401.04728v2	https://arxiv.org/pdf/2401.04728v2.pdf	https://github.com/xiyichen/morphablediffusion	true	false	true	pytorch
https://paperswithcode.com/paper/eagles-efficient-accelerated-3d-gaussians	EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS	2312.04564	https://arxiv.org/abs/2312.04564v3	https://arxiv.org/pdf/2312.04564v3.pdf	https://github.com/sharath-girish/efficientgaussian	true	true	true	pytorch
https://paperswithcode.com/paper/deblurgan-blind-motion-deblurring-using	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks	1711.07064	http://arxiv.org/abs/1711.07064v4	http://arxiv.org/pdf/1711.07064v4.pdf	https://github.com/pablodz/deblurgan	false	false	true	pytorch
https://paperswithcode.com/paper/alpacare-instruction-tuned-large-language	AlpaCare:Instruction-tuned Large Language Models for Medical Application	2310.14558	https://arxiv.org/abs/2310.14558v6	https://arxiv.org/pdf/2310.14558v6.pdf	https://github.com/xzhang97666/alpacare	true	true	true	none
https://paperswithcode.com/paper/eyetrans-merging-human-and-machine-attention	EyeTrans: Merging Human and Machine Attention for Neural Code Summarization	2402.14096	https://arxiv.org/abs/2402.14096v3	https://arxiv.org/pdf/2402.14096v3.pdf	https://zenodo.org/record/10684985	true	false	false	none
https://paperswithcode.com/paper/cross-domain-random-pre-training-with	Cross-domain Random Pre-training with Prototypes for Reinforcement Learning	2302.05614	https://arxiv.org/abs/2302.05614v3	https://arxiv.org/pdf/2302.05614v3.pdf	https://github.com/liuxin0824/crptpro	true	true	false	none
https://paperswithcode.com/paper/towards-a-sat-encoding-for-quantum-circuits-a	Towards a SAT Encoding for Quantum Circuits: A Journey From Classical Circuits to Clifford Circuits and Beyond	2203.00698	https://arxiv.org/abs/2203.00698v1	https://arxiv.org/pdf/2203.00698v1.pdf	https://github.com/lucasberent/qsatencoder	true	true	true	none
https://paperswithcode.com/paper/quokka-an-open-source-large-language-model	Quokka: An Open-source Large Language Model ChatBot for Material Science	2401.01089	https://arxiv.org/abs/2401.01089v1	https://arxiv.org/pdf/2401.01089v1.pdf	https://github.com/xianjun-yang/quokka	true	true	true	none
https://paperswithcode.com/paper/more-is-more-addition-bias-in-large-language	More is More: Addition Bias in Large Language Models	2409.02569	https://arxiv.org/abs/2409.02569v1	https://arxiv.org/pdf/2409.02569v1.pdf	https://github.com/LucaSantagata/More-is-More-Addition-Bias-in-Large-Language-Models	true	false	true	none
https://paperswithcode.com/paper/ecc-polypdet-enhanced-centernet-with	ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection	2401.04961	https://arxiv.org/abs/2401.04961v1	https://arxiv.org/pdf/2401.04961v1.pdf	https://github.com/yuncheng97/ecc-polypdet	true	true	false	pytorch
https://paperswithcode.com/paper/haltingvt-adaptive-token-halting-transformer	HaltingVT: Adaptive Token Halting Transformer for Efficient Video Recognition	2401.04975	https://arxiv.org/abs/2401.04975v1	https://arxiv.org/pdf/2401.04975v1.pdf	https://github.com/dun-research/haltingvt	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.