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/lightgcn-simplifying-and-powering-graph	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	2002.02126	https://arxiv.org/abs/2002.02126v4	https://arxiv.org/pdf/2002.02126v4.pdf	https://github.com/lucapantea/LightGCN	false	false	true	pytorch
https://paperswithcode.com/paper/labelbench-a-comprehensive-framework-for	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning	2306.09910	https://arxiv.org/abs/2306.09910v4	https://arxiv.org/pdf/2306.09910v4.pdf	https://github.com/efficienttraining/labelbench	true	true	true	pytorch
https://paperswithcode.com/paper/exploring-the-impact-of-human-evaluator-group	Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue Evaluation	2309.07998	https://arxiv.org/abs/2309.07998v1	https://arxiv.org/pdf/2309.07998v1.pdf	https://github.com/sfillwo/dialogueeval-annotatorimpact	true	true	true	none
https://paperswithcode.com/paper/the-hidden-dance-of-phonemes-and-visage	The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features	2307.13953	https://arxiv.org/abs/2307.13953v1	https://arxiv.org/pdf/2307.13953v1.pdf	https://github.com/Oscarwasoccupied/Interspeech23_Phonemes_and_Visage	true	false	true	pytorch
https://paperswithcode.com/paper/jen-1-composer-a-unified-framework-for-high	JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation	2310.19180	https://arxiv.org/abs/2310.19180v4	https://arxiv.org/pdf/2310.19180v4.pdf	https://github.com/0417keito/JEN-1-COMPOSER-pytorch	false	false	true	pytorch
https://paperswithcode.com/paper/learning-to-estimate-critical-gait-parameters	Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network	2312.00398	https://arxiv.org/abs/2312.00398v2	https://arxiv.org/pdf/2312.00398v2.pdf	https://github.com/vinuni-vishc/transformer-gait-analysis	true	true	true	pytorch
https://paperswithcode.com/paper/comprehensive-generative-replay-for-task	Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting	2406.19796	https://arxiv.org/abs/2406.19796v1	https://arxiv.org/pdf/2406.19796v1.pdf	https://github.com/jingyzhang/cgr	true	true	false	pytorch
https://paperswithcode.com/paper/toxicity-detection-for-free	Toxicity Detection for Free	2405.18822	https://arxiv.org/abs/2405.18822v2	https://arxiv.org/pdf/2405.18822v2.pdf	https://github.com/whothu/detection_logits	true	true	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/jiamingzhuge/frb_ml_unsp	true	true	true	none
https://paperswithcode.com/paper/machine-learning-classification-of-fast-radio-1	Machine learning classification of CHIME fast radio bursts -- I. Supervised methods	2210.02463	https://arxiv.org/abs/2210.02463v2	https://arxiv.org/pdf/2210.02463v2.pdf	https://github.com/jiamingzhuge/frb_ml_unsp	false	false	true	none
https://paperswithcode.com/paper/flexible-conformal-highest-predictive	Flexible Conformal Highest Predictive Conditional Density Sets	2406.18052	https://arxiv.org/abs/2406.18052v3	https://arxiv.org/pdf/2406.18052v3.pdf	https://github.com/maxsampson/CHCDS_HappyA	true	true	false	pytorch
https://paperswithcode.com/paper/attribute-guided-multi-level-attention	Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval	2301.13014	https://arxiv.org/abs/2301.13014v2	https://arxiv.org/pdf/2301.13014v2.pdf	https://github.com/dr-lingxiao/ag-man	true	true	false	pytorch
https://paperswithcode.com/paper/conditional-similarity-networks	Conditional Similarity Networks	1603.07810	http://arxiv.org/abs/1603.07810v3	http://arxiv.org/pdf/1603.07810v3.pdf	https://github.com/dr-lingxiao/ag-man	false	false	true	pytorch
https://paperswithcode.com/paper/filling-holes-in-lod2-building-models	Filling holes in LoD2 building models	2404.15892	https://arxiv.org/abs/2404.15892v1	https://arxiv.org/pdf/2404.15892v1.pdf	https://github.com/tudelft3d/automatic-repair-of-lod2-building-models	true	true	true	none
https://paperswithcode.com/paper/is-less-more-quality-quantity-and-context-in	Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Models	2405.08497	https://arxiv.org/abs/2405.08497v1	https://arxiv.org/pdf/2405.08497v1.pdf	https://github.com/agneknie/com4520DarwinProject	true	true	false	pytorch
https://paperswithcode.com/paper/merging-uncertainty-sets-via-majority-vote	Merging uncertainty sets via majority vote	2401.09379	https://arxiv.org/abs/2401.09379v5	https://arxiv.org/pdf/2401.09379v5.pdf	https://github.com/matteogaspa/merginguncertaintysets	true	true	true	none
https://paperswithcode.com/paper/mixture-of-attention-heads-selecting	Mixture of Attention Heads: Selecting Attention Heads Per Token	2210.05144	https://arxiv.org/abs/2210.05144v1	https://arxiv.org/pdf/2210.05144v1.pdf	https://github.com/yikangshen/megablocks	false	false	true	pytorch
https://paperswithcode.com/paper/generalized-population-based-training-for	Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning	2404.08233	https://arxiv.org/abs/2404.08233v2	https://arxiv.org/pdf/2404.08233v2.pdf	https://github.com/emi-group/gpbt-pl	true	true	true	none
https://paperswithcode.com/paper/joint-diagnostic-test-of-regression	A unified test for regression discontinuity designs	2205.04345	https://arxiv.org/abs/2205.04345v5	https://arxiv.org/pdf/2205.04345v5.pdf	https://github.com/smasa11/rdtest	true	true	true	none
https://paperswithcode.com/paper/knowledge-based-in-silico-models-and-dataset-1	Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses	2310.18494	https://arxiv.org/abs/2310.18494v1	https://arxiv.org/pdf/2310.18494v1.pdf	https://github.com/didsr/msynth-release	true	true	true	pytorch
https://paperswithcode.com/paper/deep-learning-algorithms-for-fbsdes-with	Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids	2401.03245	https://arxiv.org/abs/2401.03245v2	https://arxiv.org/pdf/2401.03245v2.pdf	https://github.com/zakariabensaid/deepfbsdejsolvers	true	true	false	tf
https://paperswithcode.com/paper/auto-train-once-controller-network-guided	Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch	2403.14729	https://arxiv.org/abs/2403.14729v1	https://arxiv.org/pdf/2403.14729v1.pdf	https://github.com/xidongwu/autotrainonce	true	true	false	pytorch
https://paperswithcode.com/paper/learning-low-bending-and-low-distortion-1	Convergent autoencoder approximation of low bending and low distortion manifold embeddings	2208.10193	https://arxiv.org/abs/2208.10193v2	https://arxiv.org/pdf/2208.10193v2.pdf	https://gitlab.com/jubrau/lbd	true	true	true	pytorch
https://paperswithcode.com/paper/depicting-beyond-scores-advancing-image	Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models	2312.08962	https://arxiv.org/abs/2312.08962v3	https://arxiv.org/pdf/2312.08962v3.pdf	https://github.com/XPixelGroup/DepictQA	true	false	true	pytorch
https://paperswithcode.com/paper/descriptive-image-quality-assessment-in-the	Descriptive Image Quality Assessment in the Wild	2405.18842	https://arxiv.org/abs/2405.18842v2	https://arxiv.org/pdf/2405.18842v2.pdf	https://github.com/XPixelGroup/DepictQA	false	false	true	pytorch
https://paperswithcode.com/paper/hiprompt-tuning-free-higher-resolution	HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts	2409.02919	https://arxiv.org/abs/2409.02919v3	https://arxiv.org/pdf/2409.02919v3.pdf	https://github.com/Liuxinyv/HiPrompt	true	false	true	pytorch
https://paperswithcode.com/paper/q-instruct-improving-low-level-visual	Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models	2311.06783	https://arxiv.org/abs/2311.06783v1	https://arxiv.org/pdf/2311.06783v1.pdf	https://github.com/XPixelGroup/DepictQA	false	false	true	pytorch
https://paperswithcode.com/paper/efficient-deformable-convnets-rethinking	Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications	2401.06197	https://arxiv.org/abs/2401.06197v1	https://arxiv.org/pdf/2401.06197v1.pdf	https://github.com/opengvlab/dcnv4	true	true	true	pytorch
https://paperswithcode.com/paper/premier-taco-pretraining-multitask	Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss	2402.06187	https://arxiv.org/abs/2402.06187v4	https://arxiv.org/pdf/2402.06187v4.pdf	https://github.com/premiertaco/premier-taco	true	true	false	pytorch
https://paperswithcode.com/paper/m3dsynth-a-dataset-of-medical-3d-images-with	M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations	2309.07973	https://arxiv.org/abs/2309.07973v2	https://arxiv.org/pdf/2309.07973v2.pdf	https://github.com/grip-unina/m3dsynth	false	false	true	pytorch
https://paperswithcode.com/paper/tttrlib-modular-software-for-integrating	tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling	2402.17252	https://arxiv.org/abs/2402.17252v2	https://arxiv.org/pdf/2402.17252v2.pdf	https://github.com/fluorescence-tools/tttrlib	true	true	true	none
https://paperswithcode.com/paper/how-we-refute-claims-automatic-fact-checking	How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation	2401.15312	https://arxiv.org/abs/2401.15312v1	https://arxiv.org/pdf/2401.15312v1.pdf	https://github.com/nycu-nlp-lab/flawcheck	true	true	true	none
https://paperswithcode.com/paper/a-verified-optimizer-for-quantum-circuits	A Verified Optimizer for Quantum Circuits	1912.02250	https://arxiv.org/abs/1912.02250v3	https://arxiv.org/pdf/1912.02250v3.pdf	https://github.com/inqwire/pyvoqc	false	false	true	none
https://paperswithcode.com/paper/voiceloop-voice-fitting-and-synthesis-via-a	VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop	1707.06588	http://arxiv.org/abs/1707.06588v3	http://arxiv.org/pdf/1707.06588v3.pdf	https://github.com/jasminsternkopf/mel_cepstral_distance	false	false	true	none
https://paperswithcode.com/paper/df-pagerank-improved-incrementally-expanding	DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs	2401.15870	https://arxiv.org/abs/2401.15870v2	https://arxiv.org/pdf/2401.15870v2.pdf	https://github.com/puzzlef/pagerank-openmp-dynamic	true	false	true	none
https://paperswithcode.com/paper/immunohistochemistry-guided-segmentation-of	Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides	2311.13261	https://arxiv.org/abs/2311.13261v4	https://arxiv.org/pdf/2311.13261v4.pdf	https://github.com/aican-research/breast-epithelium-segmentation	true	true	true	tf
https://paperswithcode.com/paper/vi-pann-harnessing-transfer-learning-and	VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition	2401.05531	https://arxiv.org/abs/2401.05531v2	https://arxiv.org/pdf/2401.05531v2.pdf	https://github.com/marko-orescanin-nps/vi-pann	true	true	false	pytorch
https://paperswithcode.com/paper/direct-side-information-learning-for-zero	Direct side information learning for zero-shot regression	2402.01264	https://arxiv.org/abs/2402.01264v1	https://arxiv.org/pdf/2402.01264v1.pdf	https://github.com/uo231492/dsilzsr	true	true	false	none
https://paperswithcode.com/paper/ai-generated-images-introduce-invisible	Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images	2311.14084	https://arxiv.org/abs/2311.14084v4	https://arxiv.org/pdf/2311.14084v4.pdf	https://github.com/xsc1234/invisible-relevance-bias	true	true	false	pytorch
https://paperswithcode.com/paper/magdi-structured-distillation-of-multi-agent	MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models	2402.01620	https://arxiv.org/abs/2402.01620v2	https://arxiv.org/pdf/2402.01620v2.pdf	https://github.com/dinobby/magdi	true	true	true	pytorch
https://paperswithcode.com/paper/global-and-local-attention-networks-for	Learning what and where to attend	1805.08819	https://arxiv.org/abs/1805.08819v4	https://arxiv.org/pdf/1805.08819v4.pdf	https://github.com/serre-lab/harmonization	false	false	true	tf
https://paperswithcode.com/paper/harmonizing-the-object-recognition-strategies	Harmonizing the object recognition strategies of deep neural networks with humans	2211.04533	https://arxiv.org/abs/2211.04533v2	https://arxiv.org/pdf/2211.04533v2.pdf	https://github.com/serre-lab/harmonization	false	false	true	tf
https://paperswithcode.com/paper/learning-explicitly-conditioned-sparsifying	Learning Explicitly Conditioned Sparsifying Transforms	2403.03168	https://arxiv.org/abs/2403.03168v1	https://arxiv.org/pdf/2403.03168v1.pdf	https://github.com/pirofti/conditionedtransformlearning	true	true	true	none
https://paperswithcode.com/paper/gerea-question-aware-prompt-captions-for	GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering	2402.02503	https://arxiv.org/abs/2402.02503v1	https://arxiv.org/pdf/2402.02503v1.pdf	https://github.com/upper9527/gerea	true	true	true	pytorch
https://paperswithcode.com/paper/feel-a-framework-for-evaluating-emotional	FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models	2403.15699	https://arxiv.org/abs/2403.15699v3	https://arxiv.org/pdf/2403.15699v3.pdf	https://github.com/ansisy/feel	true	true	false	none
https://paperswithcode.com/paper/edge-parallel-graph-encoder-embedding	Edge-Parallel Graph Encoder Embedding	2402.04403	https://arxiv.org/abs/2402.04403v1	https://arxiv.org/pdf/2402.04403v1.pdf	https://github.com/ariellubonja/graph-encoder-embedding	true	true	false	tf
https://paperswithcode.com/paper/sumrec-a-framework-for-recommendation-using	SumRec: A Framework for Recommendation using Open-Domain Dialogue	2402.04523	https://arxiv.org/abs/2402.04523v1	https://arxiv.org/pdf/2402.04523v1.pdf	https://github.com/ryutaro-a/sumrec	true	true	false	pytorch
https://paperswithcode.com/paper/improving-whispered-speech-recognition	Improving Whispered Speech Recognition Performance using Pseudo-whispered based Data Augmentation	2311.05179	https://arxiv.org/abs/2311.05179v1	https://arxiv.org/pdf/2311.05179v1.pdf	https://github.com/chaufanglin/Normal2Whisper	true	false	true	none
https://paperswithcode.com/paper/simplifying-stabilizing-and-scaling	Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models	2410.11081	https://arxiv.org/abs/2410.11081v1	https://arxiv.org/pdf/2410.11081v1.pdf	https://github.com/xandergos/sCM-mnist	false	false	true	pytorch
https://paperswithcode.com/paper/lsk3dnet-towards-effective-and-efficient-3d	LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels	2403.15173	https://arxiv.org/abs/2403.15173v1	https://arxiv.org/pdf/2403.15173v1.pdf	https://github.com/fengzicai/lsk3dnet	true	true	true	pytorch
https://paperswithcode.com/paper/tflex-temporal-feature-logic-embedding-1	TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph	2205.14307	https://arxiv.org/abs/2205.14307v3	https://arxiv.org/pdf/2205.14307v3.pdf	https://github.com/linxueyuanstdio/tflex	true	true	true	pytorch
https://paperswithcode.com/paper/visual-in-context-prompting	Visual In-Context Prompting	2311.13601	https://arxiv.org/abs/2311.13601v1	https://arxiv.org/pdf/2311.13601v1.pdf	https://github.com/idea-research/t-rex	false	false	true	none
https://paperswithcode.com/paper/splitting-probabilities-are-optimal	Splitting probabilities as optimal controllers of rare reactive events	2402.05414	https://arxiv.org/abs/2402.05414v3	https://arxiv.org/pdf/2402.05414v3.pdf	https://github.com/ansingh1214/splitting-optimal	true	true	true	none
https://paperswithcode.com/paper/conceptmath-a-bilingual-concept-wise	ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models	2402.14660	https://arxiv.org/abs/2402.14660v2	https://arxiv.org/pdf/2402.14660v2.pdf	https://github.com/conceptmath/conceptmath	true	true	true	none
https://paperswithcode.com/paper/a-geometric-perspective-on-diffusion-models	A Geometric Perspective on Diffusion Models	2305.19947	https://arxiv.org/abs/2305.19947v3	https://arxiv.org/pdf/2305.19947v3.pdf	https://github.com/zhyzhouu/amed-solver	false	false	true	pytorch
https://paperswithcode.com/paper/fast-ode-based-sampling-for-diffusion-models	Fast ODE-based Sampling for Diffusion Models in Around 5 Steps	2312.00094	https://arxiv.org/abs/2312.00094v3	https://arxiv.org/pdf/2312.00094v3.pdf	https://github.com/zhyzhouu/amed-solver	true	true	true	pytorch
https://paperswithcode.com/paper/not-understanding-latin-poetic-style-with	(Not) Understanding Latin Poetic Style with Deep Learning	2404.06150	https://arxiv.org/abs/2404.06150v1	https://arxiv.org/pdf/2404.06150v1.pdf	https://github.com/bnagy/fail-paper	true	true	false	none
https://paperswithcode.com/paper/on-the-effectiveness-of-distillation-in	On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder	2403.03846	https://arxiv.org/abs/2403.03846v1	https://arxiv.org/pdf/2403.03846v1.pdf	https://github.com/wssun/sslbackdoormitigation	true	true	false	pytorch
https://paperswithcode.com/paper/a-multi-agent-reinforcement-learning-study-of-1	A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems	2403.02369	https://arxiv.org/abs/2403.02369v1	https://arxiv.org/pdf/2403.02369v1.pdf	https://github.com/aslansd/modified-ai-economist-wt	true	true	false	none
https://paperswithcode.com/paper/large-scale-exploit-of-github-repository	Large-Scale-Exploit of GitHub Repository Metadata and Preventive Measures	1908.05354	https://arxiv.org/abs/1908.05354v2	https://arxiv.org/pdf/1908.05354v2.pdf	https://github.com/cirosantilli/all-github-commit-emails	true	true	true	none
https://paperswithcode.com/paper/deep-heterogeneous-contrastive-hyper-graph	Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition	2409.18481	https://arxiv.org/abs/2409.18481v1	https://arxiv.org/pdf/2409.18481v1.pdf	https://github.com/GMouYes/DHC_HGL	true	false	false	pytorch
https://paperswithcode.com/paper/you-only-read-once-constituency-oriented	You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification	null	https://ojs.aaai.org/index.php/AAAI/article/view/29945	https://ojs.aaai.org/index.php/AAAI/article/download/29945/31652	https://github.com/gdufsnlp/YORO	false	true	false	pytorch
https://paperswithcode.com/paper/beyond-film-subtitles-is-youtube-the-best	Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?	2410.03240	https://arxiv.org/abs/2410.03240v2	https://arxiv.org/pdf/2410.03240v2.pdf	https://github.com/naist-nlp/tubelex	true	true	true	none
https://paperswithcode.com/paper/zero-shot-text-to-image-generation	Zero-Shot Text-to-Image Generation	2102.12092	https://arxiv.org/abs/2102.12092v2	https://arxiv.org/pdf/2102.12092v2.pdf	https://github.com/neonbjb/tortoise-tts	false	false	true	pytorch
https://paperswithcode.com/paper/icp-flow-lidar-scene-flow-estimation-with-icp	ICP-Flow: LiDAR Scene Flow Estimation with ICP	2402.17351	https://arxiv.org/abs/2402.17351v2	https://arxiv.org/pdf/2402.17351v2.pdf	https://github.com/yanconglin/icp-flow	true	true	true	pytorch
https://paperswithcode.com/paper/when-do-generative-query-and-document	When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets	2309.08541	https://arxiv.org/abs/2309.08541v2	https://arxiv.org/pdf/2309.08541v2.pdf	https://github.com/orionw/lm-expansions	true	true	false	pytorch
https://paperswithcode.com/paper/heysquad-a-spoken-question-answering-dataset	HeySQuAD: A Spoken Question Answering Dataset	2304.13689	https://arxiv.org/abs/2304.13689v2	https://arxiv.org/pdf/2304.13689v2.pdf	https://github.com/yijingjoanna/heysquad	true	true	true	none
https://paperswithcode.com/paper/padellm-ner-parallel-decoding-in-large	PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition	2402.04838	https://arxiv.org/abs/2402.04838v5	https://arxiv.org/pdf/2402.04838v5.pdf	https://github.com/GeorgeLuImmortal/PaDeLLM_NER	true	true	true	pytorch
https://paperswithcode.com/paper/can-github-issues-be-solved-with-tree-of	Can Github issues be solved with Tree Of Thoughts?	2405.13057	https://arxiv.org/abs/2405.13057v1	https://arxiv.org/pdf/2405.13057v1.pdf	https://github.com/ricardo-larosa/tree-of-thought-llm	true	false	false	none
https://paperswithcode.com/paper/dispersion-measures-as-predictors-of-lexical	Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity	2501.06536	https://arxiv.org/abs/2501.06536v1	https://arxiv.org/pdf/2501.06536v1.pdf	https://github.com/naist-nlp/tubelex	false	false	true	none
https://paperswithcode.com/paper/a-comprehensive-calculation-of-the-primakoff	A comprehensive calculation of the Primakoff process and the solar axion flux	2402.16083	https://arxiv.org/abs/2402.16083v2	https://arxiv.org/pdf/2402.16083v2.pdf	https://github.com/fenyutanchan/solar-axion-primakoff-flux	true	true	true	pytorch
https://paperswithcode.com/paper/drm-mastering-visual-reinforcement-learning	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization	2310.19668	https://arxiv.org/abs/2310.19668v2	https://arxiv.org/pdf/2310.19668v2.pdf	https://github.com/premiertaco/premier-taco	false	false	true	pytorch
https://paperswithcode.com/paper/qmix-monotonic-value-function-factorisation	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	1803.11485	http://arxiv.org/abs/1803.11485v2	http://arxiv.org/pdf/1803.11485v2.pdf	https://github.com/nju-rl/acorm	false	false	true	pytorch
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/nju-rl/acorm	false	false	true	pytorch
https://paperswithcode.com/paper/layoutllm-t2i-eliciting-layout-guidance-from	LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation	2308.05095	https://arxiv.org/abs/2308.05095v2	https://arxiv.org/pdf/2308.05095v2.pdf	https://github.com/layoutllm-t2i/layoutllm-t2i	false	false	true	pytorch
https://paperswithcode.com/paper/panoptic-segformer	Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers	2109.03814	https://arxiv.org/abs/2109.03814v4	https://arxiv.org/pdf/2109.03814v4.pdf	https://github.com/claud1234/fcn_transformer_object_segmentation	false	false	true	pytorch
https://paperswithcode.com/paper/online-adaptation-of-language-models-with-a	Online Adaptation of Language Models with a Memory of Amortized Contexts	2403.04317	https://arxiv.org/abs/2403.04317v2	https://arxiv.org/pdf/2403.04317v2.pdf	https://github.com/jihoontack/mac	true	true	false	pytorch
https://paperswithcode.com/paper/bihmp-gan-bidirectional-3d-human-motion	BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN	1812.02591	http://arxiv.org/abs/1812.02591v1	http://arxiv.org/pdf/1812.02591v1.pdf	https://github.com/ThomasDupiereux/EnGAN	false	false	true	tf
https://paperswithcode.com/paper/unsupervised-feature-learning-of-human	Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold	1812.02592	http://arxiv.org/abs/1812.02592v1	http://arxiv.org/pdf/1812.02592v1.pdf	https://github.com/ThomasDupiereux/EnGAN	false	false	true	tf
https://paperswithcode.com/paper/a-faster-fourier-transform-computing-small	A Faster Fourier Transform? Computing Small-Scale Power Spectra and Bispectra for Cosmological Simulations in $\mathcal{O}(N^2)$ Time	2005.01739	https://arxiv.org/abs/2005.01739v3	https://arxiv.org/pdf/2005.01739v3.pdf	https://github.com/oliverphilcox/HIPSTER	true	false	true	none
https://paperswithcode.com/paper/computing-the-small-scale-galaxy-power	Computing the Small-Scale Galaxy Power Spectrum and Bispectrum in Configuration-Space	1912.01010	https://arxiv.org/abs/1912.01010v1	https://arxiv.org/pdf/1912.01010v1.pdf	https://github.com/oliverphilcox/HIPSTER	false	false	true	none
https://paperswithcode.com/paper/pecc-problem-extraction-and-coding-challenges	PECC: Problem Extraction and Coding Challenges	2404.18766	https://arxiv.org/abs/2404.18766v1	https://arxiv.org/pdf/2404.18766v1.pdf	https://github.com/hallerpatrick/pecc	true	true	true	none
https://paperswithcode.com/paper/mac-maximizing-algebraic-connectivity-for	MAC: Graph Sparsification by Maximizing Algebraic Connectivity	2403.19879	https://arxiv.org/abs/2403.19879v2	https://arxiv.org/pdf/2403.19879v2.pdf	https://github.com/MarineRoboticsGroup/mac	true	true	true	none
https://paperswithcode.com/paper/evaluating-the-effectiveness-of-predicting	Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting	2404.18553	https://arxiv.org/abs/2404.18553v1	https://arxiv.org/pdf/2404.18553v1.pdf	https://github.com/garethmd/nnts	true	true	false	pytorch
https://paperswithcode.com/paper/intactkv-improving-large-language-model	IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact	2403.01241	https://arxiv.org/abs/2403.01241v2	https://arxiv.org/pdf/2403.01241v2.pdf	https://github.com/ruikangliu/IntactKV	true	true	true	pytorch
https://paperswithcode.com/paper/salute-the-classic-revisiting-challenges-of	Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models	2401.08350	https://arxiv.org/abs/2401.08350v2	https://arxiv.org/pdf/2401.08350v2.pdf	https://github.com/pangjh3/llm4mt	true	true	true	jax
https://paperswithcode.com/paper/enhanced-short-text-modeling-leveraging-large	Enhanced Short Text Modeling: Leveraging Large Language Models for Topic Refinement	2403.17706	https://arxiv.org/abs/2403.17706v1	https://arxiv.org/pdf/2403.17706v1.pdf	https://github.com/nguyentthong/CLNTM	true	true	false	pytorch
https://paperswithcode.com/paper/assessing-image-quality-using-a-simple	Assessing Image Quality Using a Simple Generative Representation	2404.18178	https://arxiv.org/abs/2404.18178v1	https://arxiv.org/pdf/2404.18178v1.pdf	https://github.com/simonraviv/vae-qa	true	true	false	none
https://paperswithcode.com/paper/from-density-to-geometry-yolov8-instance	From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures	2404.18763	https://arxiv.org/abs/2404.18763v1	https://arxiv.org/pdf/2404.18763v1.pdf	https://github.com/cosim-lab/yolov8-to	true	true	true	pytorch
https://paperswithcode.com/paper/where-the-really-hard-quadratic-assignment	Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances	2403.02783	https://arxiv.org/abs/2403.02783v1	https://arxiv.org/pdf/2403.02783v1.pdf	https://gitlab.com/verel/qap-sat	true	true	false	none
https://paperswithcode.com/paper/towards-robust-recommendation-a-review-and-an	Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library	2404.17844	https://arxiv.org/abs/2404.17844v2	https://arxiv.org/pdf/2404.17844v2.pdf	https://github.com/chengleileilei/shillingrec	true	true	false	pytorch
https://paperswithcode.com/paper/vitaev2-vision-transformer-advanced-by	ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond	2202.10108	https://arxiv.org/abs/2202.10108v2	https://arxiv.org/pdf/2202.10108v2.pdf	https://github.com/yangyucheng000/Paper-2/tree/main/STViT-Mindspore-main	false	false	false	mindspore
https://paperswithcode.com/paper/uncertainty-quantification-for-molecular	Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search	2307.10438	https://arxiv.org/abs/2307.10438v3	https://arxiv.org/pdf/2307.10438v3.pdf	https://github.com/sjiang87/deephyper	true	true	false	none
https://paperswithcode.com/paper/lars-vsa-a-vector-symbolic-architecture-for	LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules	2405.14436	https://arxiv.org/abs/2405.14436v1	https://arxiv.org/pdf/2405.14436v1.pdf	https://github.com/mmejri3/lars-vsa	true	true	false	tf
https://paperswithcode.com/paper/ge-advgan-improving-the-transferability-of	GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model	2401.06031	https://arxiv.org/abs/2401.06031v2	https://arxiv.org/pdf/2401.06031v2.pdf	https://github.com/lmbtough/ge-advgan	true	true	true	pytorch
https://paperswithcode.com/paper/solving-kernel-ridge-regression-with-gradient-1	Changing the Kernel During Training Leads to Double Descent in Kernel Regression	2311.01762	https://arxiv.org/abs/2311.01762v3	https://arxiv.org/pdf/2311.01762v3.pdf	https://github.com/allerbo/non_constant_kgd	true	true	true	jax
https://paperswithcode.com/paper/univnet-a-neural-vocoder-with-multi	UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation	2106.07889	https://arxiv.org/abs/2106.07889v1	https://arxiv.org/pdf/2106.07889v1.pdf	https://github.com/neonbjb/tortoise-tts	false	false	true	pytorch
https://paperswithcode.com/paper/peeb-part-based-image-classifiers-with-an	PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck	2403.05297	https://arxiv.org/abs/2403.05297v3	https://arxiv.org/pdf/2403.05297v3.pdf	https://github.com/anguyen8/peeb	true	true	true	pytorch
https://paperswithcode.com/paper/text-r-2-bench-benchmarking-the-robustness-of	$\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations	2403.04924	https://arxiv.org/abs/2403.04924v1	https://arxiv.org/pdf/2403.04924v1.pdf	https://github.com/lxa9867/r2bench	true	true	true	pytorch
https://paperswithcode.com/paper/a-dual-control-variate-for-doubly-stochastic	Joint control variate for faster black-box variational inference	2210.07290	https://arxiv.org/abs/2210.07290v4	https://arxiv.org/pdf/2210.07290v4.pdf	https://github.com/xidulu/jointcv	true	true	true	jax

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.