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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/fb-occ-3d-occupancy-prediction-based-on
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
2307.01492
https://arxiv.org/abs/2307.01492v1
https://arxiv.org/pdf/2307.01492v1.pdf
https://github.com/nvlabs/fb-bev
true
true
true
pytorch
https://paperswithcode.com/paper/continual-learning-for-surface-defect
Continual learning for surface defect segmentation by subnetwork creation and selection
2312.05100
https://arxiv.org/abs/2312.05100v1
https://arxiv.org/pdf/2312.05100v1.pdf
https://github.com/adekhovich/continual_defect_segmentation
true
true
false
pytorch
https://paperswithcode.com/paper/avid-any-length-video-inpainting-with
AVID: Any-Length Video Inpainting with Diffusion Model
2312.03816
https://arxiv.org/abs/2312.03816v3
https://arxiv.org/pdf/2312.03816v3.pdf
https://github.com/zhang-zx/AVID
true
false
true
pytorch
https://paperswithcode.com/paper/re-2-h2o-autonomous-driving-scenario
(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
2302.13726
https://arxiv.org/abs/2302.13726v2
https://arxiv.org/pdf/2302.13726v2.pdf
https://github.com/YizhouXu-THU/CLIC
false
false
true
pytorch
https://paperswithcode.com/paper/towards-optimal-grammars-for-rna-structures
Towards Optimal Grammars for RNA Structures
2401.16623
https://arxiv.org/abs/2401.16623v1
https://arxiv.org/pdf/2401.16623v1.pdf
https://github.com/evita35/better-grammars
true
true
true
none
https://paperswithcode.com/paper/ambient-diffusion-learning-clean
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
2305.19256
https://arxiv.org/abs/2305.19256v1
https://arxiv.org/pdf/2305.19256v1.pdf
https://github.com/giannisdaras/ambient-tweedie
false
false
true
pytorch
https://paperswithcode.com/paper/steering-cooperation-adversarial-attacks-on
Steering cooperation: Adversarial attacks on prisoner's dilemma in complex networks
2406.19692
https://arxiv.org/abs/2406.19692v4
https://arxiv.org/pdf/2406.19692v4.pdf
https://github.com/kztakemoto/advGame
true
true
true
none
https://paperswithcode.com/paper/on-the-regret-of-online-coded-caching
On the Regret of Online Coded Caching
2312.05003
https://arxiv.org/abs/2312.05003v1
https://arxiv.org/pdf/2312.05003v1.pdf
https://github.com/sheelfshah/onlinecodedcaching
true
true
false
none
https://paperswithcode.com/paper/lagrangebench-a-lagrangian-fluid-mechanics-1
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
2309.16342
https://arxiv.org/abs/2309.16342v2
https://arxiv.org/pdf/2309.16342v2.pdf
https://github.com/tumaer/lagrangebench
true
true
true
jax
https://paperswithcode.com/paper/tensor-fusion-network-for-multimodal
Tensor Fusion Network for Multimodal Sentiment Analysis
1707.07250
http://arxiv.org/abs/1707.07250v1
http://arxiv.org/pdf/1707.07250v1.pdf
https://github.com/Avaneesh-S/Tensor-Fusion-Network
false
false
true
pytorch
https://paperswithcode.com/paper/anomalyllm-few-shot-anomaly-edge-detection
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
2405.07626
https://arxiv.org/abs/2405.07626v2
https://arxiv.org/pdf/2405.07626v2.pdf
https://github.com/anomalyllm/anomalyllm
true
true
false
pytorch
https://paperswithcode.com/paper/diffkendall-a-novel-approach-for-few-shot
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
2307.15317
https://arxiv.org/abs/2307.15317v2
https://arxiv.org/pdf/2307.15317v2.pdf
https://github.com/kaipengm2/DiffKendall
true
false
true
pytorch
https://paperswithcode.com/paper/improving-pseudo-labels-for-open-vocabulary
Taming Self-Training for Open-Vocabulary Object Detection
2308.06412
https://arxiv.org/abs/2308.06412v3
https://arxiv.org/pdf/2308.06412v3.pdf
https://github.com/xiaofeng94/sas-det
true
true
true
pytorch
https://paperswithcode.com/paper/alleviating-structural-distribution-shift-in
Alleviating Structural Distribution Shift in Graph Anomaly Detection
2401.14155
https://arxiv.org/abs/2401.14155v1
https://arxiv.org/pdf/2401.14155v1.pdf
https://github.com/blacksingular/wsdm_gdn
true
true
false
pytorch
https://paperswithcode.com/paper/concentration-in-governance-control-across
Concentration in Governance Control Across Decentralised Finance Protocols
2501.13377
https://arxiv.org/abs/2501.13377v2
https://arxiv.org/pdf/2501.13377v2.pdf
https://github.com/xm3van/reasearch-project-erc20-governance
true
true
false
none
https://paperswithcode.com/paper/asyco-an-asymmetric-dual-task-co-training
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning
2407.15036
https://arxiv.org/abs/2407.15036v1
https://arxiv.org/pdf/2407.15036v1.pdf
https://github.com/libeibeics/asyco
true
true
false
pytorch
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/google/seqio
false
false
true
tf
https://paperswithcode.com/paper/restoration-of-the-tully-fisher-relation-by
Restoration of the Tully-Fisher Relation by Statistical Rectification
2401.13738
https://arxiv.org/abs/2401.13738v3
https://arxiv.org/pdf/2401.13738v3.pdf
https://github.com/fuhaiastro/tfr_lucy
true
true
false
none
https://paperswithcode.com/paper/structure-aligned-protein-language-model
Structure-Aligned Protein Language Model
2505.16896
https://arxiv.org/abs/2505.16896v1
https://arxiv.org/pdf/2505.16896v1.pdf
https://github.com/chandar-lab/amplify
true
true
false
pytorch
https://paperswithcode.com/paper/stressing-out-modern-quantum-hardware
Stressing Out Modern Quantum Hardware: Performance Evaluation and Execution Insights
2401.13793
https://arxiv.org/abs/2401.13793v2
https://arxiv.org/pdf/2401.13793v2.pdf
https://github.com/kaitlinmgili/qnbm
true
true
false
none
https://paperswithcode.com/paper/enhancing-task-oriented-dialogues-with
Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and Divergence
2311.14067
https://arxiv.org/abs/2311.14067v2
https://arxiv.org/pdf/2311.14067v2.pdf
https://github.com/armandstrickernlp/task-chitchat-entropy
true
true
true
none
https://paperswithcode.com/paper/mm-ktd-multiple-model-kalman-temporal
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning
2006.00195
https://arxiv.org/abs/2006.00195v1
https://arxiv.org/pdf/2006.00195v1.pdf
https://github.com/pmalekzadeh/MM-KTD
true
false
true
none
https://paperswithcode.com/paper/detecting-and-grounding-important-characters
Detecting and Grounding Important Characters in Visual Stories
2303.17647
https://arxiv.org/abs/2303.17647v1
https://arxiv.org/pdf/2303.17647v1.pdf
https://github.com/iz2late/VIST-Character
true
false
true
none
https://paperswithcode.com/paper/knowledgemath-knowledge-intensive-math-word
FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
2311.09797
https://arxiv.org/abs/2311.09797v2
https://arxiv.org/pdf/2311.09797v2.pdf
https://github.com/yale-nlp/knowledgemath
true
true
true
pytorch
https://paperswithcode.com/paper/multi-agent-vqa-exploring-multi-agent
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
2403.14783
https://arxiv.org/abs/2403.14783v1
https://arxiv.org/pdf/2403.14783v1.pdf
https://github.com/bowen-upenn/Multi-Agent-VQA
true
true
true
pytorch
https://paperswithcode.com/paper/scribbleprompt-fast-and-flexible-interactive
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
2312.07381
https://arxiv.org/abs/2312.07381v3
https://arxiv.org/pdf/2312.07381v3.pdf
https://github.com/halleewong/ScribblePrompt
true
false
true
pytorch
https://paperswithcode.com/paper/shadow-generation-for-composite-image-using
Shadow Generation for Composite Image Using Diffusion model
2403.15234
https://arxiv.org/abs/2403.15234v1
https://arxiv.org/pdf/2403.15234v1.pdf
https://github.com/bcmi/object-shadow-generation-dataset-desobav2
true
true
true
pytorch
https://paperswithcode.com/paper/knowledge-translation-a-new-pathway-for-model
Knowledge Translation: A New Pathway for Model Compression
2401.05772
https://arxiv.org/abs/2401.05772v1
https://arxiv.org/pdf/2401.05772v1.pdf
https://github.com/zju-swj/kt
true
true
true
pytorch
https://paperswithcode.com/paper/fine-grained-action-analysis-a-multi-modality
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
2307.02730
https://arxiv.org/abs/2307.02730v3
https://arxiv.org/pdf/2307.02730v3.pdf
https://github.com/dingyn-reno/mmfs
true
true
true
none
https://paperswithcode.com/paper/alympics-language-agents-meet-game-theory
ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents
2311.03220
https://arxiv.org/abs/2311.03220v4
https://arxiv.org/pdf/2311.03220v4.pdf
https://github.com/microsoft/alympics
true
true
true
none
https://paperswithcode.com/paper/personal-llm-agents-insights-and-survey-about
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
2401.05459
https://arxiv.org/abs/2401.05459v2
https://arxiv.org/pdf/2401.05459v2.pdf
https://github.com/mobilellm/personal_llm_agents_survey
true
true
true
pytorch
https://paperswithcode.com/paper/trustguard-gnn-based-robust-and-explainable
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
2306.13339
https://arxiv.org/abs/2306.13339v4
https://arxiv.org/pdf/2306.13339v4.pdf
https://github.com/jieerbobo/trustguard
true
true
true
pytorch
https://paperswithcode.com/paper/divide-and-conquer-for-large-language-models
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
2401.05190
https://arxiv.org/abs/2401.05190v2
https://arxiv.org/pdf/2401.05190v2.pdf
https://github.com/aimijie/divide-and-conquer
true
true
true
none
https://paperswithcode.com/paper/fast-muon-tracking-with-machine-learning
Fast Muon Tracking with Machine Learning Implemented in FPGA
2202.04976
https://arxiv.org/abs/2202.04976v2
https://arxiv.org/pdf/2202.04976v2.pdf
https://github.com/calad0i/HGQ
false
false
true
tf
https://paperswithcode.com/paper/spike-driven-transformer-1
Spike-driven Transformer
2307.01694
https://arxiv.org/abs/2307.01694v1
https://arxiv.org/pdf/2307.01694v1.pdf
https://github.com/biclab/spike-driven-transformer
true
true
true
pytorch
https://paperswithcode.com/paper/less-is-more-hop-wise-graph-attention-for
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
2403.01317
https://arxiv.org/abs/2403.01317v4
https://arxiv.org/pdf/2403.01317v4.pdf
https://github.com/cornell-zhang/hoga
true
true
true
pytorch
https://paperswithcode.com/paper/federated-domain-generalization-for-image
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer
2210.00912
https://arxiv.org/abs/2210.00912v1
https://arxiv.org/pdf/2210.00912v1.pdf
https://github.com/JeremyCJM/CCST
true
false
true
pytorch
https://paperswithcode.com/paper/selfeeg-a-python-library-for-self-supervised
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
2401.05405
https://arxiv.org/abs/2401.05405v1
https://arxiv.org/pdf/2401.05405v1.pdf
https://github.com/medmaxlab/selfeeg
true
true
true
pytorch
https://paperswithcode.com/paper/heterogeneous-value-evaluation-for-large
Heterogeneous Value Alignment Evaluation for Large Language Models
2305.17147
https://arxiv.org/abs/2305.17147v3
https://arxiv.org/pdf/2305.17147v3.pdf
https://github.com/zowiezhang/hvae
true
true
true
none
https://paperswithcode.com/paper/neural-galerkin-scheme-with-active-learning
Neural Galerkin Schemes with Active Learning for High-Dimensional Evolution Equations
2203.01360
https://arxiv.org/abs/2203.01360v4
https://arxiv.org/pdf/2203.01360v4.pdf
https://github.com/julesberman/colora
false
false
true
jax
https://paperswithcode.com/paper/avoiding-barren-plateaus-via-gaussian-mixture
Avoiding barren plateaus via Gaussian Mixture Model
2402.13501
https://arxiv.org/abs/2402.13501v1
https://arxiv.org/pdf/2402.13501v1.pdf
https://github.com/iwrache/gmm-bp
true
true
false
none
https://paperswithcode.com/paper/anls-a-universal-document-processing-metric
ANLS* -- A Universal Document Processing Metric for Generative Large Language Models
2402.03848
https://arxiv.org/abs/2402.03848v7
https://arxiv.org/pdf/2402.03848v7.pdf
https://github.com/deepopinion/anls_star_metric
true
true
true
none
https://paperswithcode.com/paper/gumbelsoft-diversified-language-model
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick
2402.12948
https://arxiv.org/abs/2402.12948v3
https://arxiv.org/pdf/2402.12948v3.pdf
https://github.com/poruna-byte/gumbelsoft
true
true
true
none
https://paperswithcode.com/paper/long-short-term-memory-with-activation-on
Long short-term memory with activation on gradient
null
https://www.sciencedirect.com/science/article/pii/S0893608023002125
https://www.sciencedirect.com/science/article/pii/S0893608023002125
https://github.com/2024-MindSpore-1/Code10/tree/main/lstm-gaf
false
false
false
mindspore
https://paperswithcode.com/paper/tqcompressor-improving-tensor-decomposition
TQCompressor: improving tensor decomposition methods in neural networks via permutations
2401.16367
https://arxiv.org/abs/2401.16367v1
https://arxiv.org/pdf/2401.16367v1.pdf
https://github.com/terra-quantum-public/tqcompressedgpt2
true
true
false
pytorch
https://paperswithcode.com/paper/unsee-unsupervised-non-contrastive-sentence
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
2401.15316
https://arxiv.org/abs/2401.15316v3
https://arxiv.org/pdf/2401.15316v3.pdf
https://github.com/asparius/unsee
true
true
false
pytorch
https://paperswithcode.com/paper/m2-raap-a-multi-modal-recipe-for-advancing
M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval
2401.17797
https://arxiv.org/abs/2401.17797v1
https://arxiv.org/pdf/2401.17797v1.pdf
https://github.com/alipay/Ant-Multi-Modal-Framework
true
true
false
pytorch
https://paperswithcode.com/paper/snp-s3-shared-network-pre-training-and
SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks
2401.17773
https://arxiv.org/abs/2401.17773v1
https://arxiv.org/pdf/2401.17773v1.pdf
https://github.com/alipay/Ant-Multi-Modal-Framework
true
true
false
pytorch
https://paperswithcode.com/paper/a-survey-on-contextualised-semantic-shift
A Survey on Contextualised Semantic Shift Detection
2304.01666
https://arxiv.org/abs/2304.01666v2
https://arxiv.org/pdf/2304.01666v2.pdf
https://github.com/francescoperiti/cssdetection
false
false
true
none
https://paperswithcode.com/paper/unlearncanvas-a-stylized-image-dataset-to
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
2402.11846
https://arxiv.org/abs/2402.11846v4
https://arxiv.org/pdf/2402.11846v4.pdf
https://github.com/optml-group/unlearncanvas
true
true
true
pytorch
https://paperswithcode.com/paper/optimization-of-array-encoding-for-ultrasound
Optimization of array encoding for ultrasound imaging
2403.00289
https://arxiv.org/abs/2403.00289v2
https://arxiv.org/pdf/2403.00289v2.pdf
https://github.com/jcs15c/optimal_ultrasound_encoding
true
true
true
pytorch
https://paperswithcode.com/paper/non-invasive-medical-digital-twins-using
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
2403.00177
https://arxiv.org/abs/2403.00177v3
https://arxiv.org/pdf/2403.00177v3.pdf
https://github.com/alaalab/cardiopinn
true
true
false
pytorch
https://paperswithcode.com/paper/lafs-landmark-based-facial-self-supervised
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
2403.08161
https://arxiv.org/abs/2403.08161v1
https://arxiv.org/pdf/2403.08161v1.pdf
https://github.com/szlbiubiubiu/lafs_cvpr2024
true
true
true
pytorch
https://paperswithcode.com/paper/advancing-spatial-reasoning-in-large-language
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
2401.03991
https://arxiv.org/abs/2401.03991v1
https://arxiv.org/pdf/2401.03991v1.pdf
https://github.com/Fangjun-Li/SpatialLM-StepGame
true
false
true
none
https://paperswithcode.com/paper/towards-robust-cardiac-segmentation-using
Towards Robust Cardiac Segmentation using Graph Convolutional Networks
2310.01210
https://arxiv.org/abs/2310.01210v5
https://arxiv.org/pdf/2310.01210v5.pdf
https://github.com/gillesvntnu/gcn_unet_agreement_demo
true
true
true
none
https://paperswithcode.com/paper/mixed-type-tabular-data-synthesis-with-score
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
2310.09656
https://arxiv.org/abs/2310.09656v3
https://arxiv.org/pdf/2310.09656v3.pdf
https://github.com/amazon-science/tabsyn
true
true
true
pytorch
https://paperswithcode.com/paper/mineru-an-open-source-solution-for-precise
MinerU: An Open-Source Solution for Precise Document Content Extraction
2409.18839
https://arxiv.org/abs/2409.18839v1
https://arxiv.org/pdf/2409.18839v1.pdf
https://github.com/opendatalab/mineru
true
true
true
paddle
https://paperswithcode.com/paper/immersive-video-compression-using-implicit
Immersive Video Compression using Implicit Neural Representations
2402.01596
https://arxiv.org/abs/2402.01596v2
https://arxiv.org/pdf/2402.01596v2.pdf
https://github.com/hmkx/mv-hinerv
true
true
false
none
https://paperswithcode.com/paper/chain-of-instructions-compositional
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
2402.11532
https://arxiv.org/abs/2402.11532v3
https://arxiv.org/pdf/2402.11532v3.pdf
https://github.com/amazon-science/chain-of-instructions
true
false
false
pytorch
https://paperswithcode.com/paper/kernel-normalized-convolutional-networks
Kernel Normalized Convolutional Networks
2205.10089
https://arxiv.org/abs/2205.10089v4
https://arxiv.org/pdf/2205.10089v4.pdf
https://github.com/reza-nasirigerdeh/norm-torch
true
true
false
pytorch
https://paperswithcode.com/paper/robust-spatiotemporal-fusion-of-satellite
Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach
2308.00500
https://arxiv.org/abs/2308.00500v2
https://arxiv.org/pdf/2308.00500v2.pdf
https://github.com/mdi-tokyotech/rostf
true
true
true
none
https://paperswithcode.com/paper/dynamic-inter-treatment-information-sharing
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
2305.15984
https://arxiv.org/abs/2305.15984v3
https://arxiv.org/pdf/2305.15984v3.pdf
https://github.com/jmdvinodjmd/HyperITE
true
true
true
pytorch
https://paperswithcode.com/paper/ten-words-only-still-help-improving-black-box
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
2402.09199
https://arxiv.org/abs/2402.09199v1
https://arxiv.org/pdf/2402.09199v1.pdf
https://github.com/ictmcg/poger
true
true
true
pytorch
https://paperswithcode.com/paper/learning-to-search-for-job-shop-scheduling
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
2211.10936
https://arxiv.org/abs/2211.10936v3
https://arxiv.org/pdf/2211.10936v3.pdf
https://github.com/zcaicaros/l2s
true
true
false
pytorch
https://paperswithcode.com/paper/bernstein-flows-for-flexible-posteriors-in
Bernstein Flows for Flexible Posteriors in Variational Bayes
2202.05650
https://arxiv.org/abs/2202.05650v2
https://arxiv.org/pdf/2202.05650v2.pdf
https://github.com/tensorchiefs/bfvi_paper
true
true
true
none
https://paperswithcode.com/paper/fusechat-knowledge-fusion-of-chat-models
Knowledge Fusion of Chat LLMs: A Preliminary Technical Report
2402.16107
https://arxiv.org/abs/2402.16107v5
https://arxiv.org/pdf/2402.16107v5.pdf
https://github.com/fanqiwan/fusellm
true
true
true
pytorch
https://paperswithcode.com/paper/bringing-masked-autoencoders-explicit
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
2407.05862
https://arxiv.org/abs/2407.05862v1
https://arxiv.org/pdf/2407.05862v1.pdf
https://github.com/amazingren/point-cmae
true
true
true
pytorch
https://paperswithcode.com/paper/cross-resolution-land-cover-classification
Cross-Resolution Land Cover Classification Using Outdated Products and Transformers
2402.16001
https://arxiv.org/abs/2402.16001v2
https://arxiv.org/pdf/2402.16001v2.pdf
https://github.com/yu-ni1989/anlc-former
true
true
true
pytorch
https://paperswithcode.com/paper/irconstyle-image-restoration-framework-using
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
2402.15784
https://arxiv.org/abs/2402.15784v3
https://arxiv.org/pdf/2402.15784v3.pdf
https://github.com/dongqi-fan/irconstyle
true
true
false
pytorch
https://paperswithcode.com/paper/explainable-contrastive-and-cost-sensitive
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
2402.15905
https://arxiv.org/abs/2402.15905v1
https://arxiv.org/pdf/2402.15905v1.pdf
https://github.com/isha-67/cervicalcancerstudy
true
true
false
none
https://paperswithcode.com/paper/stabilized-neural-differential-equations-for
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
2306.09739
https://arxiv.org/abs/2306.09739v3
https://arxiv.org/pdf/2306.09739v3.pdf
https://github.com/white-alistair/Stabilized-Neural-Differential-Equations
true
true
true
none
https://paperswithcode.com/paper/cepgen-a-generic-central-exclusive-processes
CepGen -- A generic central exclusive processes event generator for hadron-hadron collisions
1808.06059
https://arxiv.org/abs/1808.06059v2
https://arxiv.org/pdf/1808.06059v2.pdf
https://github.com/cepgen/cepgen
false
false
true
none
https://paperswithcode.com/paper/open-vocabulary-electroencephalography-to
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
2112.02690
https://arxiv.org/abs/2112.02690v3
https://arxiv.org/pdf/2112.02690v3.pdf
https://github.com/mikewangwzhl/eeg-to-text
true
true
true
pytorch
https://paperswithcode.com/paper/adaptive-interventions-with-user-defined
Adaptive Interventions with User-Defined Goals for Health Behavior Change
2311.09483
https://arxiv.org/abs/2311.09483v4
https://arxiv.org/pdf/2311.09483v4.pdf
https://github.com/stanfordai4hi/adaptive-interventions-with-goals
true
true
false
none
https://paperswithcode.com/paper/suppress-and-rebalance-towards-generalized
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
2402.19298
https://arxiv.org/abs/2402.19298v2
https://arxiv.org/pdf/2402.19298v2.pdf
https://github.com/omggggg/mmdg
true
true
false
pytorch
https://paperswithcode.com/paper/mentor-multi-level-self-supervised-learning
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
2402.19407
https://arxiv.org/abs/2402.19407v1
https://arxiv.org/pdf/2402.19407v1.pdf
https://github.com/jinfeng-xu/mentor
true
true
true
pytorch
https://paperswithcode.com/paper/metford-mutation-testing-framework-for
METFORD -- Mutation tEsTing Framework fOR anDroid
2501.02875
https://arxiv.org/abs/2501.02875v2
https://arxiv.org/pdf/2501.02875v2.pdf
https://github.com/specs-feup/paper-metford
true
true
false
none
https://paperswithcode.com/paper/towards-harnessing-large-language-models-for
Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
2406.01749
https://arxiv.org/abs/2406.01749v1
https://arxiv.org/pdf/2406.01749v1.pdf
https://github.com/aistairc/conversational-grounding-llm
true
true
false
none
https://paperswithcode.com/paper/neural-clustering-based-visual-representation
Neural Clustering based Visual Representation Learning
2403.17409
https://arxiv.org/abs/2403.17409v1
https://arxiv.org/pdf/2403.17409v1.pdf
https://github.com/guikunchen/fec
true
true
true
pytorch
https://paperswithcode.com/paper/invariant-test-time-adaptation-for-vision
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
2403.00376
https://arxiv.org/abs/2403.00376v3
https://arxiv.org/pdf/2403.00376v3.pdf
https://github.com/mahuanaaa/intta
true
true
true
pytorch
https://paperswithcode.com/paper/diffusion-based-negative-sampling-on-graphs
Diffusion-based Negative Sampling on Graphs for Link Prediction
2403.17259
https://arxiv.org/abs/2403.17259v1
https://arxiv.org/pdf/2403.17259v1.pdf
https://github.com/ntkien1904/dmns
true
true
false
pytorch
https://paperswithcode.com/paper/afdgcf-adaptive-feature-de-correlation-graph
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
2403.17416
https://arxiv.org/abs/2403.17416v2
https://arxiv.org/pdf/2403.17416v2.pdf
https://github.com/u-rara/afdgcf
true
true
false
pytorch
https://paperswithcode.com/paper/sparse-logistic-regression-with-high-order
Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks
2403.17534
https://arxiv.org/abs/2403.17534v1
https://arxiv.org/pdf/2403.17534v1.pdf
https://github.com/filippoc/grex-lrec-coling-2024
true
true
true
none
https://paperswithcode.com/paper/an-image-computable-model-of-speeded-decision
An image-computable model of speeded decision-making
2403.16382
https://arxiv.org/abs/2403.16382v2
https://arxiv.org/pdf/2403.16382v2.pdf
https://github.com/pauljaffe/vam
true
true
true
jax
https://paperswithcode.com/paper/xrf-v2-a-dataset-for-action-summarization
XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses
2501.19034
https://arxiv.org/abs/2501.19034v1
https://arxiv.org/pdf/2501.19034v1.pdf
https://github.com/aiotgroup/xrfv2
true
true
false
pytorch
https://paperswithcode.com/paper/elysium-exploring-object-level-perception-in
Elysium: Exploring Object-level Perception in Videos via MLLM
2403.16558
https://arxiv.org/abs/2403.16558v2
https://arxiv.org/pdf/2403.16558v2.pdf
https://github.com/hon-wong/elysium
true
true
true
pytorch
https://paperswithcode.com/paper/csprd-a-financial-policy-retrieval-dataset
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
2309.04389
https://arxiv.org/abs/2309.04389v2
https://arxiv.org/pdf/2309.04389v2.pdf
https://github.com/noewangjy/csprd_dataset
true
true
true
pytorch
https://paperswithcode.com/paper/from-river-flow-to-spatial-flow-flow-map-via
From river flow to spatial flow: flow map via river flow directions assignment algorithm
2110.09395
https://arxiv.org/abs/2110.09395v2
https://arxiv.org/pdf/2110.09395v2.pdf
https://github.com/TrentonWei/FlowMap
true
true
true
none
https://paperswithcode.com/paper/multi-spectral-image-synthesis-for-crop-weed
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
2009.05750
https://arxiv.org/abs/2009.05750v2
https://arxiv.org/pdf/2009.05750v2.pdf
https://github.com/Mulham91/Multi-Spectral-Image-Synthesis-for-Crop-Weed-Segmentation-in-Precision-Farming
false
false
true
tf
https://paperswithcode.com/paper/formation-of-super-mercuries-via-giant
Formation of super-Mercuries via giant impacts
2403.03831
https://arxiv.org/abs/2403.03831v1
https://arxiv.org/pdf/2403.03831v1.pdf
https://github.com/jingyaodou/forming_s_mercuries_2024
true
true
false
none
https://paperswithcode.com/paper/spockmip-segmentation-of-vessels-in-mras-with
SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
2407.08655
https://arxiv.org/abs/2407.08655v1
https://arxiv.org/pdf/2407.08655v1.pdf
https://github.com/soumickmj/spockmip
true
false
true
pytorch
https://paperswithcode.com/paper/ds6-deformation-aware-learning-for-small
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
2006.10802
https://arxiv.org/abs/2006.10802v3
https://arxiv.org/pdf/2006.10802v3.pdf
https://github.com/soumickmj/spockmip
false
false
true
pytorch
https://paperswithcode.com/paper/link-scheduling-using-graph-neural-networks
Link Scheduling using Graph Neural Networks
2109.05536
https://arxiv.org/abs/2109.05536v3
https://arxiv.org/pdf/2109.05536v3.pdf
https://github.com/zhongyuanzhao/distgcn
true
true
true
tf
https://paperswithcode.com/paper/distributed-scheduling-using-graph-neural
Distributed Scheduling using Graph Neural Networks
2011.09430
https://arxiv.org/abs/2011.09430v2
https://arxiv.org/pdf/2011.09430v2.pdf
https://github.com/zhongyuanzhao/distgcn
true
true
true
tf
https://paperswithcode.com/paper/spotting-llms-with-binoculars-zero-shot
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
2401.12070
https://arxiv.org/abs/2401.12070v3
https://arxiv.org/pdf/2401.12070v3.pdf
https://github.com/ahans30/binoculars
true
true
true
none
https://paperswithcode.com/paper/mcunet-tiny-deep-learning-on-iot-devices
MCUNet: Tiny Deep Learning on IoT Devices
2007.10319
https://arxiv.org/abs/2007.10319v2
https://arxiv.org/pdf/2007.10319v2.pdf
https://github.com/mit-han-lab/mcunet
false
false
true
tf
https://paperswithcode.com/paper/pulling-back-symmetric-riemannian-geometry
Pulling back symmetric Riemannian geometry for data analysis
2403.06612
https://arxiv.org/abs/2403.06612v1
https://arxiv.org/pdf/2403.06612v1.pdf
https://github.com/wdiepeveen/pulling-back-symmetric-riemannian-geometry-for-data-analysis
true
true
false
pytorch
https://paperswithcode.com/paper/learning-to-describe-for-predicting-zero-shot
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
2403.08377
https://arxiv.org/abs/2403.08377v1
https://arxiv.org/pdf/2403.08377v1.pdf
https://github.com/zhufq00/ddis-prediction
true
true
false
pytorch
https://paperswithcode.com/paper/consistent-prompting-for-rehearsal-free
Consistent Prompting for Rehearsal-Free Continual Learning
2403.08568
https://arxiv.org/abs/2403.08568v2
https://arxiv.org/pdf/2403.08568v2.pdf
https://github.com/Zhanxin-Gao/CPrompt
true
true
true
pytorch
https://paperswithcode.com/paper/slicertms-interactive-real-time-visualization
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment
2305.06459
https://arxiv.org/abs/2305.06459v4
https://arxiv.org/pdf/2305.06459v4.pdf
https://github.com/lorifranke/SlicerTMS
true
true
false
pytorch