repo_url
stringlengths 26
200
| paper_url
stringlengths 36
81
| paper_title
stringlengths 3
229
⌀ | paper_arxiv_id
stringlengths 9
16
| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/fishsoup0/autonomous-driving-perception
|
https://paperswithcode.com/paper/a-comprehensive-review-of-3d-object-detection
|
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions
|
2408.16530
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/roylin1229/line_segment_review
|
https://paperswithcode.com/paper/a-comprehensive-review-of-image-line-segment
|
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
|
2305.00264
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ISYSLAB-HUST/Protein-Language-Models
|
https://paperswithcode.com/paper/a-comprehensive-review-of-protein-language
|
A Comprehensive Review of Protein Language Models
|
2502.06881
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/vectorinstitute/recommender-systems-survey
|
https://paperswithcode.com/paper/a-comprehensive-review-of-recommender-systems
|
A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice
|
2407.13699
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ankh77sb/A-Comprehensive-Review-on-Hashtag-Recommendation
|
https://paperswithcode.com/paper/a-comprehensive-review-on-hashtag
|
A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond
|
2503.18669
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/ferry-hhh/CXL-DMSim
|
https://paperswithcode.com/paper/a-comprehensive-simulation-framework-for-cxl
|
A Comprehensive Simulation Framework for CXL Disaggregated Memory
|
2411.02282
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/castor-software/depclean
|
https://paperswithcode.com/paper/a-comprehensive-study-of-bloated-dependencies
|
A Comprehensive Study of Bloated Dependencies in the Maven Ecosystem
|
2001.07808
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mmoayeri/rival10
|
https://paperswithcode.com/paper/a-comprehensive-study-of-image-classification
|
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
|
2201.10766
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/ltroin/llm_attack_defense_arena
|
https://paperswithcode.com/paper/llm-jailbreak-attack-versus-defense
|
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
|
2402.13457
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/zjunlp/knowledgeeditingpapers
|
https://paperswithcode.com/paper/a-comprehensive-study-of-knowledge-editing
|
A Comprehensive Study of Knowledge Editing for Large Language Models
|
2401.01286
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tianhewu/mllms-for-iqa
|
https://paperswithcode.com/paper/a-comprehensive-study-of-multimodal-large
|
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
|
2403.10854
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/hollylee2000/pruningbench
|
https://paperswithcode.com/paper/pruningbench-a-comprehensive-benchmark-of
|
A Comprehensive Study of Structural Pruning for Vision Models
|
2406.12315
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Eaphan/Robust3DOD
|
https://paperswithcode.com/paper/a-comprehensive-study-and-comparison-of-the
|
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
|
2212.10230
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/tp-sh/gdpr_privacy_policies
|
https://paperswithcode.com/paper/a-comprehensive-study-on-gdpr-oriented
|
A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers
|
2410.04754
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zjukg/comprehensive-study-over-relational-patterns
|
https://paperswithcode.com/paper/a-comprehensive-study-on-knowledge-graph
|
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
|
2308.07889
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/mhunt-er/benchmarking-malware-family-classification
|
https://paperswithcode.com/paper/a-comprehensive-study-on-learning-based-pe
|
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
|
2110.15552
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/codectr/refinectr
|
https://paperswithcode.com/paper/a-comprehensive-summarization-and-evaluation
|
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction
|
2311.04625
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/xiaofeng-life/awesomedehazing
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-image-dehazing
|
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
|
2106.03323
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/YihanCao123/awesome-aigc
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-ai-generated
|
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
|
2303.04226
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/arenaa/accelerated-generation-techniques
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-accelerated
|
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
|
2405.13019
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/lywang3081/Awesome-Continual-Learning
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-continual-learning
|
A Comprehensive Survey of Continual Learning: Theory, Method and Application
|
2302.00487
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/t6-thu/awesome-cross-domain-policy-transfer-for-embodied-agents
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-cross-domain-policy
|
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
|
2402.04580
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/guozheng-ma/da-in-visualrl
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-data-augmentation
|
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
|
2210.04561
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/decisionintelligence/cs4ts
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-deep-learning-for-1
|
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
|
2502.10721
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/scienceaix/deepresearch
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-deep-research
|
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
|
2506.12594
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/aryan-jadon/evaluation-metrics-for-recommendation-systems
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-evaluation
|
A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
|
2312.16015
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/ennengyang/awesome-forgetting-in-deep-learning
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-forgetting-in-deep
|
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
|
2307.09218
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/jiangfeibo/comlam
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-large-ai-models-for
|
A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges
|
2505.03556
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sgholamian/comprehensive-software-logging-survey
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-logging-in-software
|
A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis
|
2110.12489
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/madhavaprasath23/awesome-mamba-papers-on-medical-domain
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-mamba-architectures
|
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
|
2410.02362
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/deepseek-ai/DeepEP
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-mixture-of-experts
|
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
|
2503.07137
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/jlzhong23/awesome-reward-models
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-reward-models
|
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
|
2504.12328
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-scientific-large
|
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
|
2406.10833
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/FairyFali/SLMs-Survey
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-small-language
|
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
|
2411.03350
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ruxueshi/Awesome-Comprehensive-Survey-of-Synthetic-Tabular-Data-Generation
|
https://paperswithcode.com/paper/a-comprehensive-survey-of-synthetic-tabular
|
A Comprehensive Survey of Synthetic Tabular Data Generation
|
2504.16506
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/hitcslj/awesome-aigc-3d
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-3d-content
|
A Comprehensive Survey on 3D Content Generation
|
2402.01166
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/haokunwen/awesome-composed-image-retrieval
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-composed-image
|
A Comprehensive Survey on Composed Image Retrieval
|
2502.18495
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ghy0501/awesome-continual-learning-in-generative-models
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-continual-learning
|
A Comprehensive Survey on Continual Learning in Generative Models
|
2506.13045
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/USTCAGI/Awesome-Cross-Domain-Recommendation-Papers-and-Resources
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-cross-domain
|
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects
|
2503.14110
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/zhoushengisnoob/DeepClustering
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-deep-clustering
|
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
|
2206.07579
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/mengyuanchen21/awesome-evidential-deep-learning
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-evidential-deep
|
A Comprehensive Survey on Evidential Deep Learning and Its Applications
|
2409.04720
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-graph-anomaly
|
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
|
2106.07178
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/zhaoren91/awesome-heart-sound-analysis
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-heart-sound
|
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
|
2301.09362
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/wentaol86/awesome-human-body-video-generation
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-human-video
|
A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights
|
2407.08428
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/jasonxu1225/awesome-constraint-inference-in-rl
|
https://paperswithcode.com/paper/a-survey-of-inverse-constrained-reinforcement
|
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
|
2409.07569
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ipl-sharif/kd_survey
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-knowledge-1
|
A Comprehensive Survey on Knowledge Distillation
|
2503.12067
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/lclm-horizon/a-comprehensive-survey-for-long-context-language-modeling
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-long-context
|
A Comprehensive Survey on Long Context Language Modeling
|
2503.17407
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/hongyurain/recommendation-with-modality-information
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-multimodal
|
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
|
2302.04473
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/yangji721/awesome-self-interpretable-neural-network
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-self-interpretable
|
A Comprehensive Survey on Self-Interpretable Neural Networks
|
2501.15638
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/hkuds/awesome-sslrec-papers
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-self-supervised
|
A Comprehensive Survey on Self-Supervised Learning for Recommendation
|
2404.03354
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tim-learn/awesome-test-time-adaptation
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-test-time
|
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
|
2303.15361
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/songsook/scdl
|
https://paperswithcode.com/paper/a-comprehensive-survey-on-video-saliency
|
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!
|
2206.13390
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/lcs2-iiitd/code-mixed-classification
|
https://paperswithcode.com/paper/a-comprehensive-understanding-of-code-mixed
|
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer
|
2204.12753
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/comparch-security/cpu-sec-bench
|
https://paperswithcode.com/paper/a-comprehensive-and-cross-platform-test-suite
|
A Comprehensive and Cross-Platform Test Suite for Memory Safety -- Towards an Open Framework for Testing Processor Hardware Supported Security Extensions
|
2111.14072
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/apuaaChen/GNEDNN_release
|
https://paperswithcode.com/paper/a-comprehensive-and-modularized-statistical
|
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
|
2001.00254
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/dxq21/dorar
|
https://paperswithcode.com/paper/a-comprehensive-and-reliable-feature
|
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)
|
2310.17945
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/atoms-to-intelligence/tapestry
|
https://paperswithcode.com/paper/a-compressed-sensing-approach-to-group
|
A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection
|
2005.07895
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/zzzzms/leastsquareclustering
|
https://paperswithcode.com/paper/a-least-square-approach-to-semi-supervised
|
A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction
|
2202.02904
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/slab-nlp/multimodal_clustering
|
https://paperswithcode.com/paper/a-computational-acquisition-model-for
|
A Computational Acquisition Model for Multimodal Word Categorization
|
2205.05974
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sepisha/pitchdrift
|
https://paperswithcode.com/paper/a-computational-analysis-of-pitch-drift-in
|
A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering
|
2204.01009
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/amantyag/india_pakistan_polarization
|
https://paperswithcode.com/paper/a-computational-analysis-of-polarization-on
|
A Computational Analysis of Polarization on Indian and Pakistani Social Media
|
2005.09803
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mir-aidj/djmix-analysis
|
https://paperswithcode.com/paper/a-computational-analysis-of-real-world-dj
|
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
|
2008.10267
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/shervinazadi/EN_17037_Compliance
|
https://paperswithcode.com/paper/a-computational-approach-for-checking
|
A Computational Approach for Checking Compliance with European View and Sunlight Exposure Criteria
|
2109.11037
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/NikhilPS1995/AttitudeDynamics
|
https://paperswithcode.com/paper/a-computational-approach-for-variational
|
A Computational Approach for Variational Integration of Attitude Dynamics on SO(3)
|
2201.00713
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/fatihguelec/CFD-Approach-for-the-Characterization-of-Airborne-Transmission-in-Turbulent-MC-Channels
|
https://paperswithcode.com/paper/a-computational-approach-for-the
|
A Computational Approach for the Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels
|
2305.01412
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/mmehrani/homans_project
|
https://paperswithcode.com/paper/a-computational-approach-to-homans-social
|
A Computational Approach to Homans Social Exchange Theory
|
2007.14953
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/humanfactorspsych/covid19-tom-empathy-diary
|
https://paperswithcode.com/paper/a-computational-approach-to-measure-empathy
|
A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
|
2108.11810
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/acsl-technion/nuevomatch
|
https://paperswithcode.com/paper/a-computational-approach-to-packet
|
A Computational Approach to Packet Classification
|
2002.07584
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/behavioral-data/Empathy-Mental-Health
|
https://paperswithcode.com/paper/a-computational-approach-to-understanding
|
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
|
2009.08441
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/behavioral-data/bolt
|
https://paperswithcode.com/paper/a-computational-framework-for-behavioral
|
A Computational Framework for Behavioral Assessment of LLM Therapists
|
2401.00820
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/atsu-kotani/Matisse
|
https://paperswithcode.com/paper/a-computational-framework-for-modeling-1
|
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
|
2408.16916
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/yuanliu1/cqed-vibronic-simulation
|
https://paperswithcode.com/paper/a-computational-framework-for-simulations-of
|
A Computational Framework for Simulations of Dissipative Non-Adiabatic Dynamics on Hybrid Oscillator-Qubit Quantum Devices
|
2502.17820
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/zhewei-sun/slanggen
|
https://paperswithcode.com/paper/a-computational-framework-for-slang
|
A Computational Framework for Slang Generation
|
2102.01826
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/necludov/wl-mechanics
|
https://paperswithcode.com/paper/a-computational-framework-for-solving
|
A Computational Framework for Solving Wasserstein Lagrangian Flows
|
2310.10649
|
jax
|
✅ Official
|
📝 In Paper
|
https://github.com/nhatthanhtran/entropy2020
|
https://paperswithcode.com/paper/a-computational-information-criterion-for
|
A Computational Information Criterion for Particle-Tracking with Sparse or Noisy Data
|
2106.07111
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/anonymousturtle433/anonymized-code
|
https://paperswithcode.com/paper/commander-s-intent-a-dataset-and-modeling
|
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
|
2208.08374
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Shi2oon/Strain2Disp_FE
|
https://paperswithcode.com/paper/a-computational-method-for-the-determination
|
A Computational Method for the Determination of the Elastic Displacement Field using Measured Elastic Deformation Field
|
2107.10330
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/nmontesg/norms-games
|
https://paperswithcode.com/paper/a-computational-model-of-the-institutional
|
A Computational Model of the Institutional Analysis and Development Framework
|
2105.13151
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/xtaltec/la-4d-flow-mri
|
https://paperswithcode.com/paper/a-computational-pipeline-for-advanced
|
A Computational Pipeline for Advanced Analysis of 4D Flow MRI in the Left Atrium
|
2505.09746
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/danvk/hybrid-boggle
|
https://paperswithcode.com/paper/a-computational-proof-of-the-highest-scoring
|
A Computational Proof of the Highest-Scoring Boggle Board
|
2507.02117
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/m-nassir/clustering
|
https://paperswithcode.com/paper/a-computational-theory-and-semi-supervised
|
A Computational Theory and Semi-Supervised Algorithm for Clustering
|
2306.06974
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/vrd1243/tda_bees
|
https://paperswithcode.com/paper/a-computational-topology-based-spatiotemporal
|
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation
|
2307.09720
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/marcoelba/selectiveinference
|
https://paperswithcode.com/paper/a-computationally-efficient-approach-to-false
|
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
|
2401.12697
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/bradyplanden/liibra.jl
|
https://paperswithcode.com/paper/a-computationally-informed-realisation
|
A Computationally Informed Realisation Algorithm for Lithium-Ion Batteries Implemented with LiiBRA.jl
|
2203.17105
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/brycexu/BNN_Kernel
|
https://paperswithcode.com/paper/a-computing-kernel-for-network-binarization
|
A Computing Kernel for Network Binarization on PyTorch
|
1911.04477
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/umass-ml4ed/neurips-challenge-22
|
https://paperswithcode.com/paper/a-conceptual-model-for-end-to-end-causal
|
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
|
2305.16165
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/jessevoostrum/active-inference
|
https://paperswithcode.com/paper/a-concise-mathematical-description-of-active
|
A Concise Mathematical Description of Active Inference in Discrete Time
|
2406.07726
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/acphile/MCCWS
|
https://paperswithcode.com/paper/multi-criteria-chinese-word-segmentation-with
|
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder
|
1906.12035
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/elliesch/flipnslide
|
https://paperswithcode.com/paper/a-concise-tiling-strategy-for-preserving
|
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery
|
2404.10927
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/nfaross/model-s4plus
|
https://paperswithcode.com/paper/a-concrete-model-for-the-quantum-permutation
|
A Concrete Model for the Quantum Permutation Group on 4 Points
|
2304.09124
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/smarr/SOMns
|
https://paperswithcode.com/paper/a-concurrency-agnostic-protocol-for-multi
|
A Concurrency-Agnostic Protocol for Multi-Paradigm Concurrent Debugging Tools
|
1706.00363
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/gramoli/synchrobench
|
https://paperswithcode.com/paper/a-concurrency-optimal-list-based-set
|
A Concurrency-Optimal List-Based Set
|
1502.01633
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/kenchan0226/abs-then-ext-public
|
https://paperswithcode.com/paper/a-condense-then-select-strategy-for-text
|
A Condense-then-Select Strategy for Text Summarization
|
2106.10468
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/neukg/ConCasRTE
|
https://paperswithcode.com/paper/a-conditional-cascade-model-for-relational
|
A Conditional Cascade Model for Relational Triple Extraction
|
2108.13303
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/QWTforGithub/PUDM
|
https://paperswithcode.com/paper/a-conditional-denoising-diffusion-1
|
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
|
2312.02719
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/rapidsathkust/vic-ddpm
|
https://paperswithcode.com/paper/a-conditional-denoising-diffusion
|
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction
|
2305.09121
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shuaikaishi/cdeit
|
https://paperswithcode.com/paper/a-conditional-diffusion-model-for-electrical
|
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction
|
2412.16979
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Raymond30/CG-BiO
|
https://paperswithcode.com/paper/generalized-frank-wolfe-algorithm-for-bilevel
|
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
|
2206.08868
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/zhaoyanglyu/point_diffusion_refinement
|
https://paperswithcode.com/paper/a-conditional-point-diffusion-refinement-1
|
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
|
2112.03530
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/redsofa/unsupervised-online-regression
|
https://paperswithcode.com/paper/an-online-adaptive-and-unsupervised
|
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
|
2312.07682
|
none
|
✅ Official
|
📝 In Paper
|
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.