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/nathandking/cpm-ibc
|
https://paperswithcode.com/paper/a-closest-point-method-for-surface-pdes-with
|
A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
|
2305.04711
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ibm/cloud-native-patterns
|
https://paperswithcode.com/paper/a-cloud-native-platform-for-stateful
|
A Cloud Native Platform for Stateful Streaming
|
2006.00064
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/pedestriandynamics/cloudfast-dl4pude
|
https://paperswithcode.com/paper/a-cloud-based-deep-learning-system-for
|
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
|
2302.08237
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/aes5001/5GIIK-testbed
|
https://paperswithcode.com/paper/a-cloud-based-sdn-nfv-testbed-for-end-to-end
|
A Cloud-based SDN/NFV Testbed for End-to-End Network Slicing in 4G/5G
|
2004.10455
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/barbara20901/cluster-link-prediction
|
https://paperswithcode.com/paper/a-cluster-based-trip-prediction-graph-neural
|
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
|
2201.00720
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/Sara-Rajaee/clusterbased_isotropy_enhancement
|
https://paperswithcode.com/paper/a-cluster-based-approach-for-improving
|
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space
|
2106.01183
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tengmcing/hotspots-clustering-algorithm
|
https://paperswithcode.com/paper/a-clustering-algorithm-to-organize-satellite
|
A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
|
2308.10505
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mmmayo13/tweet-sentiment-scores
|
https://paperswithcode.com/paper/a-clustering-analysis-of-tweet-length-and-its
|
A Clustering Analysis of Tweet Length and its Relation to Sentiment
|
1406.3287
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/abdulrafae/normalization
|
https://paperswithcode.com/paper/a-clustering-framework-for-lexical
|
A Clustering Framework for Lexical Normalization of Roman Urdu
|
2004.00088
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/jain15mayank/Clustering-Framework-for-Resedential-Demand-Profiles
|
https://paperswithcode.com/paper/a-clustering-framework-for-residential
|
A Clustering Framework for Residential Electric Demand Profiles
|
2105.08537
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/XuyangAbert/CDSC-AL
|
https://paperswithcode.com/paper/a-clustering-based-framework-for-classifying
|
A Clustering-based Framework for Classifying Data Streams
|
2106.11823
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/guanzhou-ke/cloven
|
https://paperswithcode.com/paper/a-clustering-guided-contrastive-fusion-for
|
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
|
2212.13726
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/kangbrilliant/DCA-Net
|
https://paperswithcode.com/paper/a-co-interactive-transformer-for-joint-slot
|
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
|
2010.03880
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shuohangwang/comatch
|
https://paperswithcode.com/paper/a-co-matching-model-for-multi-choice-reading
|
A Co-Matching Model for Multi-choice Reading Comprehension
|
1806.04068
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/roan-schellingerhout/jrs_explanations
|
https://paperswithcode.com/paper/a-co-design-study-for-multi-stakeholder-job
|
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations
|
2309.05507
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/miriammaximo/mcl-dlf
|
https://paperswithcode.com/paper/a-coarse-to-fine-3d-lidar-localization-with
|
A Coarse to Fine 3D LiDAR Localization with Deep Local Features for Long Term Robot Navigation in Large Environments
|
2505.18340
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/yuzhuoren/IndoorLayout
|
https://paperswithcode.com/paper/a-coarse-to-fine-indoor-layout-estimation
|
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
|
1607.00598
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/fcchit/overlapnetvlad
|
https://paperswithcode.com/paper/overlapnetvlad-a-coarse-to-fine-framework-for
|
A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation
|
2303.06881
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/anasemad11/c2fpl
|
https://paperswithcode.com/paper/a-coarse-to-fine-pseudo-labeling-c2fpl
|
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
|
2310.17650
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/nicozwy/cofced
|
https://paperswithcode.com/paper/a-coarse-to-fine-cascaded-evidence
|
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
|
2209.14642
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/aschmidtuulm/ameshcoars
|
https://paperswithcode.com/paper/a-coarsening-algorithm-on-adaptive-red-green
|
A Coarsening Algorithm on Adaptive Red-Green-Blue Refined Meshes
|
2001.06343
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tianyuan168326/vcs-pytorch
|
https://paperswithcode.com/paper/perceptual-coding-for-compressed-video
|
A Coding Framework and Benchmark towards Low-Bitrate Video Understanding
|
2202.02813
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/martinlindstrom/coding_theoretic_hpl
|
https://paperswithcode.com/paper/a-coding-theoretic-analysis-of-hyperspherical
|
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
|
2407.07664
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/davidyyd/alpha-svrg
|
https://paperswithcode.com/paper/a-coefficient-makes-svrg-effective
|
A Coefficient Makes SVRG Effective
|
2311.05589
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/kaiyangwan/cogwriter
|
https://paperswithcode.com/paper/a-cognitive-writing-perspective-for
|
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
|
2502.12568
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/petrichor625/hltp
|
https://paperswithcode.com/paper/a-cognitive-based-trajectory-prediction
|
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
|
2402.19251
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Yang-Yuan/CPCNet
|
https://paperswithcode.com/paper/a-cognitively-inspired-neural-architecture
|
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
|
2309.10532
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/ehsk/CHF-TopoResolver
|
https://paperswithcode.com/paper/a-coherent-unsupervised-model-for-toponym
|
A Coherent Unsupervised Model for Toponym Resolution
|
1805.01952
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/GreedyGeorge/COIN
|
https://paperswithcode.com/paper/a-coin-has-two-sides-a-novel-detector
|
A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
|
2409.04150
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/themrguiller/collaborative-content-moderation
|
https://paperswithcode.com/paper/a-collaborative-content-moderation-framework
|
A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement
|
2411.04090
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/stefanocereda/polybench_data
|
https://paperswithcode.com/paper/a-collaborative-filtering-approach-for-the
|
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations
|
2005.04092
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/fibarrola/cicada
|
https://paperswithcode.com/paper/a-collaborative-interactive-and-context-aware
|
A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design
|
2209.12588
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/divettemarco/pragsim
|
https://paperswithcode.com/paper/a-collection-of-pragmatic-similarity
|
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances
|
2403.14808
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/slds-lmu/qdo_yahpo
|
https://paperswithcode.com/paper/a-collection-of-quality-diversity
|
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models
|
2204.14061
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ctuning/ck-rpi-optimization-results
|
https://paperswithcode.com/paper/a-collective-knowledge-workflow-for
|
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques
|
1801.08024
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sjmeis/CLMLDP
|
https://paperswithcode.com/paper/a-collocation-based-method-for-addressing
|
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
|
2407.00638
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/Navid-Ziaei/combined-channel-iEEG-decoder
|
https://paperswithcode.com/paper/a-combined-channel-approach-for-decoding
|
A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
|
2412.06336
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/quarbby/synchronization_index
|
https://paperswithcode.com/paper/a-combined-synchronization-index-for
|
A Combined Synchronization Index for Grassroots Activism on Social Media
|
2212.13221
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/Fradenti/CommonAtomModel
|
https://paperswithcode.com/paper/a-common-atom-model-for-the-bayesian
|
A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
|
2008.07077
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/olivierjeunen/pooled-data-experiments
|
https://paperswithcode.com/paper/a-common-misassumption-in-online-experiments
|
A Common Misassumption in Online Experiments with Machine Learning Models
|
2304.10900
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/humainlab/understand_marginpo
|
https://paperswithcode.com/paper/a-common-pitfall-of-margin-based-language
|
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
|
2410.13828
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ikergarcia1996/MVM-Embeddings
|
https://paperswithcode.com/paper/a-common-semantic-space-for-monolingual-and
|
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
|
2001.06381
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/alieto/DEGARI
|
https://paperswithcode.com/paper/a-commonsense-reasoning-framework-for
|
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification
|
2101.04017
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/swati17293/kg-multi-bias
|
https://paperswithcode.com/paper/a-commonsense-infused-language-agnostic
|
A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines
|
2212.00298
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/gunther82/RUBICON-CommLayer
|
https://paperswithcode.com/paper/a-communication-layer-for-integrated-sensors
|
A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence
|
2106.05100
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mingruiliu-ml-lab/communication-efficient-local-gradient-clipping
|
https://paperswithcode.com/paper/a-communication-efficient-distributed-3
|
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
|
2205.05040
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/abhishekumrawal/community-im
|
https://paperswithcode.com/paper/a-community-aware-framework-for-social
|
A Community-Aware Framework for Social Influence Maximization
|
2207.08937
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/furkangursoy/ComAwareNetGrowth
|
https://paperswithcode.com/paper/a-community-aware-network-growth-model-for
|
A Community-aware Network Growth Model for Synthetic Social Network Generation
|
1901.03629
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/commaai/comma2k19
|
https://paperswithcode.com/paper/a-commute-in-data-the-comma2k19-dataset
|
A Commute in Data: The comma2k19 Dataset
|
1812.05752
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/rayzhangzirui/ccim
|
https://paperswithcode.com/paper/a-compact-coupling-interface-method-with
|
A Compact Coupling Interface Method with Accurate Gradient Approximation for Elliptic Interface Problems
|
2110.12414
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/timxzz/abi_with_rebasin
|
https://paperswithcode.com/paper/a-compact-representation-for-bayesian-neural
|
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
|
2401.00611
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
|
https://paperswithcode.com/paper/a-compact-and-interpretable-convolutional
|
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
|
2106.00613
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Gwilherm-LESNE/Disentangler
|
https://paperswithcode.com/paper/a-compact-and-semantic-latent-space-for
|
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing
|
2312.08256
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/sebischair/llm-kg-d2t
|
https://paperswithcode.com/paper/a-comparative-analysis-of-conversational
|
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
|
2402.01495
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ogarreche/xai_whitebox
|
https://paperswithcode.com/paper/a-comparative-analysis-of-dnn-based-white-box
|
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
|
2501.07801
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/zhxiaokang/FScompare
|
https://paperswithcode.com/paper/a-comparative-analysis-of-feature-selection
|
A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-treated Atlantic Cod (Gadus morhua) Liver
|
1905.08048
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mbonto/xai_in_genomics
|
https://paperswithcode.com/paper/a-comparative-analysis-of-gene-expression
|
A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
|
2402.00926
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/junaedyounuskhan51/facemaskdetection
|
https://paperswithcode.com/paper/a-comparative-analysis-of-machine-learning-2
|
A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19
|
2112.07913
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/kc82/poetry-reading
|
https://paperswithcode.com/paper/a-comparative-analysis-of-poetry-reading
|
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between?
|
2404.00789
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/gedeonmate/hungarian_static_embeddings
|
https://paperswithcode.com/paper/a-comparative-analysis-of-static-word
|
A Comparative Analysis of Static Word Embeddings for Hungarian
|
2505.07809
|
tf
|
✅ Official
|
🐙 On GitHub
|
https://github.com/shawontafsir/ICMLA-24-Suicial-Ideation
|
https://paperswithcode.com/paper/a-comparative-analysis-of-transformer-and
|
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
|
2411.15404
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/sjmeis/mldp
|
https://paperswithcode.com/paper/a-comparative-analysis-of-word-level-metric
|
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
|
2404.03324
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/rifqat/Comparative-Analysis
|
https://paperswithcode.com/paper/a-comparative-analysis-of-the-ensemble
|
A Comparative Analysis of the Ensemble Methods for Drug Design
|
2012.07640
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/fmenat/multiviewcropclassification
|
https://paperswithcode.com/paper/a-comparative-assessment-of-multi-view-fusion
|
A Comparative Assessment of Multi-view fusion learning for Crop Classification
|
2308.05407
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/pierlj/aaf_framework
|
https://paperswithcode.com/paper/a-comparative-attention-framework-for-better
|
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
|
2210.13923
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/assoudi-typica-ai/darija-toxicity-benchmark
|
https://paperswithcode.com/paper/a-comparative-benchmark-of-a-moroccan-darija
|
A Comparative Benchmark of a Moroccan Darija Toxicity Detection Model (Typica.ai) and Major LLM-Based Moderation APIs (OpenAI, Mistral, Anthropic)
|
2505.04640
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/Microsoft/MobileTrendVis
|
https://paperswithcode.com/paper/a-comparative-evaluation-of-animation-and
|
A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones
|
1907.03919
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tobiasschumacher/quantification_paper
|
https://paperswithcode.com/paper/a-comparative-evaluation-of-quantification
|
A Comparative Evaluation of Quantification Methods
|
2103.03223
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/git-disl/GTDLBench
|
https://paperswithcode.com/paper/a-comparative-measurement-study-of-deep
|
A Comparative Measurement Study of Deep Learning as a Service Framework
|
1810.12210
|
tf
|
✅ Official
|
🐙 On GitHub
|
https://github.com/robertoamt/HDL-HLS-Sobel-filters-
|
https://paperswithcode.com/paper/a-comparative-study-between-hls-and-hdl-on
|
A Comparative Study between HLS and HDL on SoC for Image Processing Applications
|
2012.08320
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/LucasAlegre/sumo-rl
|
https://paperswithcode.com/paper/a-comparative-study-of-algorithms-for-1
|
A Comparative Study of Algorithms for Intelligent Traffic Signal Control
|
2109.00937
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/Aviral-03/ViT-Chest-Xray
|
https://paperswithcode.com/paper/a-comparative-study-of-cnn-resnet-and-vision
|
A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
|
2406.00237
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/yuxuanzhao1/code-for-vaccination-stratified-sepaiqrd-model
|
https://paperswithcode.com/paper/a-comparative-study-of-compartmental-models
|
A Comparative Study of Compartmental Models for COVID-19 Transmission in Ontario, Canada
|
2210.13323
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/DanielMagro97/LEXACTUM
|
https://paperswithcode.com/paper/a-comparative-study-of-convolutional-neural-1
|
A Comparative Study of Convolutional Neural Networks for the Detection of Strong Gravitational Lensing
|
2106.01754
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/j991222/mimo_jcesd
|
https://paperswithcode.com/paper/a-comparative-study-of-deep-learning-and
|
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
|
2303.03678
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/neilus03/drl_comparative_study
|
https://paperswithcode.com/paper/a-comparative-study-of-deep-reinforcement-1
|
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
|
2407.14151
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/bit-xjy/rl-based-transferable-ems
|
https://paperswithcode.com/paper/a-comparative-study-of-deep-reinforcement
|
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
|
2202.11514
|
tf
|
✅ Official
|
📝 In Paper
|
https://bitbucket.org/sdumancic/embeddingsmeetilp
|
https://paperswithcode.com/paper/on-embeddings-as-an-alternative-paradigm-for
|
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
|
1806.11391
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/dazcona/mrnet
|
https://paperswithcode.com/paper/a-comparative-study-of-existing-and-new-deep
|
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset
|
2010.01947
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/oldaandozerskaya/age_based_classification
|
https://paperswithcode.com/paper/a-comparative-study-of-feature-types-for-age
|
A Comparative Study of Feature Types for Age-Based Text Classification
|
2009.11898
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/vislearn/gmbench
|
https://paperswithcode.com/paper/a-comparative-study-of-graph-matching
|
A Comparative Study of Graph Matching Algorithms in Computer Vision
|
2207.00291
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/ThomasMildner/SNS-research
|
https://paperswithcode.com/paper/a-comparative-study-of-how-people-with-and
|
A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media
|
2503.05263
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/TommasoVandermeer/Social-Navigation-PyEnvs
|
https://paperswithcode.com/paper/a-comparative-study-of-human-motion-models-in
|
A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigation
|
2503.15127
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/andrew0613/x-restormer
|
https://paperswithcode.com/paper/a-comparative-study-of-image-restoration
|
A Comparative Study of Image Restoration Networks for General Backbone Network Design
|
2310.11881
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ChayutWo/Nonparam-oridinal-nominal
|
https://paperswithcode.com/paper/a-comparative-study-of-imputation-methods-for
|
A Comparative Study of Imputation Methods for Multivariate Ordinal Data
|
2010.10471
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/sara-rezaeimanesh/idiom_translation
|
https://paperswithcode.com/paper/a-comparative-study-of-llms-nmt-models-and
|
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation
|
2412.09993
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/xieyangxinyu/a-comparative-study-of-loss-functions-traffic-predictions-in-regular-and-congestion-scenarios
|
https://paperswithcode.com/paper/a-comparative-study-of-loss-functions-traffic
|
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios
|
2308.15464
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/basiralab/kaggle-brainnetprediction-toolbox
|
https://paperswithcode.com/paper/a-comparative-study-of-machine-learning-4
|
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint
|
2109.07739
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/zdebeurs/3ml_methods_for_xrb_classification
|
https://paperswithcode.com/paper/a-comparative-study-of-machine-learning-5
|
A Comparative Study of Machine Learning Methods for X-ray Binary Classification
|
2204.00346
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/bulbulahmmed/ML-to-reactive-mixing-data
|
https://paperswithcode.com/paper/a-comparative-study-of-machine-learning-1
|
A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing
|
2002.11511
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sohambasu07/bonejointslocalization
|
https://paperswithcode.com/paper/a-comparative-study-of-multiple-deep-learning
|
A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body
|
2410.20639
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/zwx8981/adth-qa
|
https://paperswithcode.com/paper/a-comparative-study-of-perceptual-quality
|
A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
|
2403.06421
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/bintsi/brain-age-population-graphs
|
https://paperswithcode.com/paper/a-comparative-study-of-population-graph
|
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
|
2309.14816
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/dfki-nlp/fewie
|
https://paperswithcode.com/paper/a-comparative-study-of-pre-trained-encoders-1
|
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition
|
2204.04980
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/PKUAI-LINGroup/PAS
|
https://paperswithcode.com/paper/a-comparative-study-of-pre-training-and-self
|
A Comparative Study of Pre-training and Self-training
|
2409.02751
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/tamlhp/kbqa
|
https://paperswithcode.com/paper/a-comparative-study-of-question-answering
|
A Comparative Study of Question Answering over Knowledge Bases
|
2211.08170
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/adcombrink/nrp-genericconstraints
|
https://paperswithcode.com/paper/a-comparative-study-of-smt-and-milp-for-the
|
A Comparative Study of SMT and MILP for the Nurse Rostering Problem
|
2505.10328
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/setu1421/fpsecretbench
|
https://paperswithcode.com/paper/a-comparative-study-of-software-secrets
|
A Comparative Study of Software Secrets Reporting by Secret Detection Tools
|
2307.00714
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/av9ash/duplicatebugdetection
|
https://paperswithcode.com/paper/a-comparative-study-of-text-embedding-models
|
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports
|
2308.09193
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/shiyunee/facet-generation
|
https://paperswithcode.com/paper/a-comparative-study-of-training-objectives
|
A Comparative Study of Training Objectives for Clarification Facet Generation
|
2310.00703
|
pytorch
|
✅ 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.