Datasets:
pwc-archive
/
links-between-paper-and-code

Dataset card Data Studio Files
xet
Community
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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