repo_url
stringlengths 26
200
| paper_url
stringlengths 36
81
| paper_title
stringlengths 3
229
β | paper_arxiv_id
stringlengths 9
16
| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/maksym-bortin/a_framework
|
https://paperswithcode.com/paper/a-framework-for-modelling-verification-and
|
A Framework for Modelling, Verification and Transformation of Concurrent Imperative Programs
|
2007.02261
|
none
|
β
Official
|
π In Paper
|
https://github.com/tufts-ai-robotics-group/mmvp
|
https://paperswithcode.com/paper/a-framework-for-multisensory-foresight-for
|
A Framework for Multisensory Foresight for Embodied Agents
|
2109.07561
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/j201/gibbs-pruning
|
https://paperswithcode.com/paper/a-framework-for-neural-network-pruning-using
|
A Framework for Neural Network Pruning Using Gibbs Distributions
|
2006.04981
|
tf
|
β
Official
|
π In Paper
|
https://github.com/alessiocpt/teriyaki
|
https://paperswithcode.com/paper/a-framework-to-generate-neurosymbolic-pddl
|
A Framework for Neurosymbolic Robot Action Planning using Large Language Models
|
2303.00438
|
none
|
β
Official
|
π In Paper
|
https://github.com/apaskara/Algo_Invest
|
https://paperswithcode.com/paper/a-framework-for-online-investment-algorithms
|
A Framework for Online Investment Algorithms
|
2003.13360
|
none
|
β
Official
|
π In Paper
|
https://bitbucket.org/ispamm/parallel-and-distributed-neural-networks
|
https://paperswithcode.com/paper/a-framework-for-parallel-and-distributed
|
A Framework for Parallel and Distributed Training of Neural Networks
|
1610.07448
|
none
|
β
Official
|
π In Paper
|
https://github.com/akashsara/meta-discovery
|
https://paperswithcode.com/paper/a-framework-for-predicting-the-impact-of-game
|
A Framework for Predicting the Impact of Game Balance Changes through Meta Discovery
|
2409.07340
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/sybaik1/qfa-toolkit
|
https://paperswithcode.com/paper/a-framework-for-quantum-finite-state
|
A Framework for Quantum Finite-State Languages with Density Mapping
|
2407.02776
|
none
|
β
Official
|
π In Paper
|
https://github.com/camilo-espinosa/volcano-seismic-segmentation
|
https://paperswithcode.com/paper/a-framework-for-real-time-volcano-seismic
|
A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation Models
|
2410.20595
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/nikolaradulov/slamfuse
|
https://paperswithcode.com/paper/a-framework-for-reproducible-benchmarking-and
|
A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems
|
2410.04242
|
none
|
β
Official
|
π In Paper
|
https://github.com/wispo-pop/powerline-wildfirerisk-data
|
https://paperswithcode.com/paper/a-framework-for-risk-assessment-and-optimal
|
A Framework for Risk Assessment and Optimal Line Upgrade Selection to Mitigate Wildfire Risk
|
2110.07348
|
none
|
β
Official
|
π In Paper
|
https://github.com/ermongroup/ControlVariateBound
|
https://paperswithcode.com/paper/a-framework-for-sample-efficient-interval
|
A Framework for Sample Efficient Interval Estimation with Control Variates
|
2006.10287
|
none
|
β
Official
|
π In Paper
|
https://github.com/nacloos/similarity-repository
|
https://paperswithcode.com/paper/a-framework-for-standardizing-similarity
|
A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field
|
2409.18333
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/zxzhang23/inference_rand_algo
|
https://paperswithcode.com/paper/a-framework-for-statistical-inference-via
|
A Framework for Statistical Inference via Randomized Algorithms
|
2307.11255
|
none
|
β
Official
|
π In Paper
|
https://github.com/grahman20/TLF
|
https://paperswithcode.com/paper/a-framework-for-supervised-heterogeneous
|
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
|
2108.12293
|
none
|
β
Official
|
π In Paper
|
https://github.com/lazarocosta/Framework
|
https://paperswithcode.com/paper/a-framework-for-supporting-the
|
A Framework for Supporting the Reproducibility of Computational Experiments in Multiple Scientific Domains
|
2503.07080
|
none
|
β
Official
|
π In Paper
|
https://github.com/pik-icone/syntheticpowergrid_paper_companion
|
https://paperswithcode.com/paper/a-framework-for-synthetic-power-system
|
A Framework for Synthetic Power System Dynamics
|
2303.06116
|
none
|
β
Official
|
π In Paper
|
https://github.com/cangyeone/dispersion
|
https://paperswithcode.com/paper/a-framework-for-uncertainty-estimation-in
|
A Framework for Uncertainty Estimation in Seismology Data Processing with Application to Extract Rayleigh Wave Dispersion Curves from Noise Cross-correlation Functions
|
2503.20460
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ritoban1/short-note-selection-bias
|
https://paperswithcode.com/paper/a-framework-for-understanding-selection-bias
|
A Framework for Understanding Selection Bias in Real-World Healthcare Data
|
2304.04652
|
none
|
β
Official
|
π In Paper
|
https://github.com/sri-aic/sc2-feature-extractor
|
https://paperswithcode.com/paper/a-framework-for-understanding-and-visualizing
|
A Framework for Understanding and Visualizing Strategies of RL Agents
|
2208.08552
|
none
|
β
Official
|
π In Paper
|
https://github.com/orig74/DroneSimLab
|
https://paperswithcode.com/paper/a-framework-for-visually-realistic-multi
|
A Framework for Visually Realistic Multi-robot Simulation in Natural Environment
|
1708.01938
|
none
|
β
Official
|
π In Paper
|
https://github.com/open-digital-twin/framework-fl-testing
|
https://paperswithcode.com/paper/a-framework-for-testing-federated-learning
|
A Framework for testing Federated Learning algorithms using an edge-like environment
|
2407.12980
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/MultilayerBenchmark/MultilayerBenchmark
|
https://paperswithcode.com/paper/a-framework-for-the-construction-of-1
|
A Framework for the Construction of Generative Models for Mesoscale Structure in Multilayer Networks
|
1608.06196
|
none
|
β
Official
|
π In Paper
|
https://github.com/Panda000001/WindAssimilation
|
https://paperswithcode.com/paper/a-framework-of-data-assimilation-for-wind
|
A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
|
2401.17001
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xxsds/DYNAMIC
|
https://paperswithcode.com/paper/a-framework-of-dynamic-data-structures-for
|
A Framework of Dynamic Data Structures for String Processing
|
1701.07238
|
none
|
β
Official
|
π In Paper
|
https://github.com/nhatpd/iADMM
|
https://paperswithcode.com/paper/a-framework-of-inertial-alternating-direction
|
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization
|
2102.05433
|
none
|
β
Official
|
π In Paper
|
https://github.com/jendersen/kg_accountability
|
https://paperswithcode.com/paper/a-framework-to-assess-knowledge-graphs
|
A Framework to Assess Knowledge Graphs Accountability
|
2309.16285
|
none
|
β
Official
|
π In Paper
|
https://github.com/d-zabihzadeh/Adaptive-Adv-DML
|
https://paperswithcode.com/paper/a-framework-to-enhance-generalization-of-deep
|
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks
|
2106.06420
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/sccn/testica
|
https://paperswithcode.com/paper/a-framework-to-evaluate-independent-component
|
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm
|
2210.08409
|
none
|
β
Official
|
π In Paper
|
https://github.com/cda-tum/mqt-qubomaker
|
https://paperswithcode.com/paper/a-framework-to-formulate-pathfinding-problems
|
A Framework to Formulate Pathfinding Problems for Quantum Computing
|
2404.10820
|
none
|
β
Official
|
π In Paper
|
https://github.com/sukannyapurkayastha/mnid
|
https://paperswithcode.com/paper/a-framework-to-generate-high-quality
|
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
|
2205.02005
|
tf
|
β
Official
|
π In Paper
|
https://github.com/jayneelparekh/flint
|
https://paperswithcode.com/paper/a-framework-to-learn-with-interpretation
|
A Framework to Learn with Interpretation
|
2010.09345
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/matbesancon/oracle_robust_smoothing_fw
|
https://paperswithcode.com/paper/a-frank-wolfe-algorithm-for-oracle-based
|
A Frank-Wolfe Algorithm for Oracle-based Robust Optimization
|
2411.19848
|
none
|
β
Official
|
β No Mention
|
https://github.com/Wenqi-Cui/Predict-Power-System-Dynamics-Frequency-Domain
|
https://paperswithcode.com/paper/predicting-power-system-dynamics-and
|
A Frequency Domain Approach to Predict Power System Transients
|
2111.01103
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/zxgx/freqcacheembedding
|
https://paperswithcode.com/paper/a-frequency-aware-software-cache-for-large
|
A Frequency-aware Software Cache for Large Recommendation System Embeddings
|
2208.05321
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/kagklis/Frequent-Itemset-Hiding-Toolbox-x86
|
https://paperswithcode.com/paper/a-frequent-itemset-hiding-toolbox
|
A Frequent Itemset Hiding Toolbox
|
1802.10543
|
none
|
β
Official
|
π In Paper
|
https://github.com/rellermeyer/container_benchmarks
|
https://paperswithcode.com/paper/a-fresh-look-at-the-architecture-and
|
A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
|
2110.11462
|
none
|
β
Official
|
π In Paper
|
https://github.com/thukelab/dr-csc
|
https://paperswithcode.com/paper/a-frustratingly-easy-plug-and-play-detection
|
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
|
2310.09119
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/lhryang/fsd
|
https://paperswithcode.com/paper/a-frustratingly-simple-decoding-method-for
|
A Frustratingly Simple Decoding Method for Neural Text Generation
|
2305.12675
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/vila-lab/m-attack
|
https://paperswithcode.com/paper/a-frustratingly-simple-yet-highly-effective
|
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
|
2503.10635
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/JiaxunCai/Dynet-Biaffine-SRL
|
https://paperswithcode.com/paper/a-full-end-to-end-semantic-role-labeler-1
|
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?
|
1808.03815
|
none
|
β
Official
|
π In Paper
|
https://github.com/bcsaldias/yes-no-crowdsourcing
|
https://paperswithcode.com/paper/a-full-probabilistic-model-for-yesno-type
|
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification
|
1901.00397
|
none
|
β
Official
|
π In Paper
|
https://github.com/cageyoko/CTC-Attention-Mispronunciation
|
https://paperswithcode.com/paper/a-full-text-dependent-end-to-end
|
A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques
|
2104.08428
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/wangyaohuii/cxl-ssd-sim
|
https://paperswithcode.com/paper/a-full-system-simulation-framework-for-cxl
|
A Full-System Simulation Framework for CXL-Based SSD Memory System
|
2501.02524
|
none
|
β
Official
|
π In Paper
|
https://github.com/commit-message-collective/beams-commit-message-checker
|
https://paperswithcode.com/paper/a-full-fledged-commit-message-quality-checker
|
A Full-fledged Commit Message Quality Checker Based on Machine Learning
|
2309.04797
|
none
|
β
Official
|
π In Paper
|
https://github.com/MickaelRigault/pysedm
|
https://paperswithcode.com/paper/a-fully-automated-integral-field-spectrograph
|
A Fully Automated Integral Field Spectrograph Pipeline for the SEDMachine: pysedm
|
1902.08526
|
none
|
β
Official
|
π In Paper
|
https://github.com/cyh4/FCTSFN
|
https://paperswithcode.com/paper/a-fully-convolutional-two-stream-fusion
|
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation
|
1807.02480
|
caffe2
|
β
Official
|
π In Paper
|
https://github.com/yhwang1990/dynamic-rms
|
https://paperswithcode.com/paper/a-fully-dynamic-algorithm-for-k-regret
|
A Fully Dynamic Algorithm for k-Regret Minimizing Sets
|
2005.14493
|
none
|
β
Official
|
π In Paper
|
https://github.com/uddipanb/NP-impulse
|
https://paperswithcode.com/paper/a-fully-general-non-perturbative-treatment-of
|
A Fully General, Non-Perturbative Treatment of Impulsive Heating
|
2010.06632
|
none
|
β
Official
|
π In Paper
|
https://github.com/cimhasgithub/mibot_acl2025
|
https://paperswithcode.com/paper/a-fully-generative-motivational-interviewing
|
A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit
|
2505.17362
|
none
|
β
Official
|
π In Paper
|
https://github.com/structurescomp/rod-contact-sim
|
https://paperswithcode.com/paper/a-fully-implicit-method-for-robust-frictional
|
A Fully Implicit Method for Robust Frictional Contact Handling in Elastic Rods
|
2205.10309
|
none
|
β
Official
|
π In Paper
|
https://github.com/juanjogg1987/Fully_Natural_Gradient_HetMOGP
|
https://paperswithcode.com/paper/a-fully-natural-gradient-scheme-for-improving
|
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model
|
1911.10225
|
none
|
β
Official
|
π In Paper
|
https://github.com/mheidarpur/fpntt
|
https://paperswithcode.com/paper/a-fully-pipelined-fifo-based-polynomial
|
A Fully Pipelined FIFO Based Polynomial Multiplication Hardware Architecture Based On Number Theoretic Transform
|
2501.11867
|
none
|
β
Official
|
π In Paper
|
https://github.com/sshepherd637/claynn
|
https://paperswithcode.com/paper/a-fully-quantum-mechanical-treatment-for
|
A Fully Quantum-Mechanical Treatment for Kaolinite
|
2301.04505
|
none
|
β
Official
|
π In Paper
|
https://github.com/onucharles/tensorized-rnn
|
https://paperswithcode.com/paper/a-fully-tensorized-recurrent-neural-network
|
A Fully Tensorized Recurrent Neural Network
|
2010.04196
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/AzamRabiee/subband-TTS
|
https://paperswithcode.com/paper/a-fully-time-domain-neural-model-for-subband
|
A Fully Time-domain Neural Model for Subband-based Speech Synthesizer
|
1810.05319
|
tf
|
β
Official
|
π On GitHub
|
https://github.com/hu-macsy/cn-2024-dynamic-b-suitor-experiments
|
https://paperswithcode.com/paper/a-fully-dynamic-approximation-algorithm-for
|
A Fully-dynamic Approximation Algorithm for Maximum Weight b-Matchings in Graphs
|
2410.09965
|
none
|
β
Official
|
π In Paper
|
https://github.com/youyoucong/lmcs-artifact
|
https://paperswithcode.com/paper/a-functional-abstraction-of-typed-invocation
|
A Functional Abstraction of Typed Invocation Contexts
|
2110.07349
|
none
|
β
Official
|
π In Paper
|
https://github.com/edadaltocg/ood-trajectory-projection
|
https://paperswithcode.com/paper/a-functional-data-perspective-and-baseline-on
|
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
|
2306.03522
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/neural-structured-additive-learning/funnel
|
https://paperswithcode.com/paper/a-functional-extension-of-semi-structured
|
A Functional Extension of Semi-Structured Networks
|
2410.05430
|
none
|
β
Official
|
π In Paper
|
https://github.com/nitaytech/functionalexplanation
|
https://paperswithcode.com/paper/a-functional-information-perspective-on-model
|
A Functional Information Perspective on Model Interpretation
|
2206.05700
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/SangeethNila/casestudy_ISO26262_extension_connected_driving
|
https://paperswithcode.com/paper/a-functional-safety-assessment-method-for
|
A Functional Safety Assessment Method for Cooperative Automotive Architecture
|
2104.13729
|
none
|
β
Official
|
π In Paper
|
https://github.com/joseffaghihi/a-fundamental-probabilistic-fuzzy-logic-framework-suitable-for-causal-reasoning
|
https://paperswithcode.com/paper/a-fundamental-probabilistic-fuzzy-logic
|
A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning
|
2205.15016
|
none
|
β
Official
|
π In Paper
|
https://github.com/squareroot3/fusedgw-entity-alignment
|
https://paperswithcode.com/paper/a-fused-gromov-wasserstein-framework-for
|
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
|
2305.06574
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/usman1021/fusion
|
https://paperswithcode.com/paper/a-fusion-guided-inception-network-for
|
A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
|
2505.03431
|
none
|
β
Official
|
π In Paper
|
https://github.com/bghojogh/Face-Gender-Recognition-Fusion
|
https://paperswithcode.com/paper/a-fusion-based-gender-recognition-method
|
A Fusion-based Gender Recognition Method Using Facial Images
|
1711.06451
|
none
|
β
Official
|
π On GitHub
|
https://github.com/joaojcorreia/FuzzyLogic_ProjectSuccess
|
https://paperswithcode.com/paper/a-fuzzy-approach-to-project-success-measuring
|
A Fuzzy Approach to Project Success: Measuring What Matters
|
2507.12653
|
none
|
β
Official
|
π In Paper
|
https://github.com/ssssweissss/vaguegan-data-poisoning-attack-and-its-countermeasure
|
https://paperswithcode.com/paper/a-gan-based-data-poisoning-attack-against
|
A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure
|
2405.11440
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/Pengyu-gis/Historical-Aerial-Photos
|
https://paperswithcode.com/paper/a-gan-enhanced-deep-learning-framework-for
|
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
|
2503.23200
|
none
|
β
Official
|
β No Mention
|
https://github.com/xupei0610/ICCGAN
|
https://paperswithcode.com/paper/a-gan-like-approach-for-physics-based
|
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control
|
2105.10066
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/tezzachris/garch
|
https://paperswithcode.com/paper/a-garch-model-with-two-volatility-components
|
A GARCH model with two volatility components and two driving factors
|
2410.14585
|
none
|
β
Official
|
π In Paper
|
https://github.com/sribdcn/Predict-and-Search_MILP_method
|
https://paperswithcode.com/paper/a-gnn-guided-predict-and-search-framework-for
|
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
|
2302.05636
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/JunwenBai/GNN-RNN
|
https://paperswithcode.com/paper/a-gnn-rnn-approach-for-harnessing-geospatial
|
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
|
2111.08900
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/georgenwpu/code_data_of_papers/tree/master/A%20GNSS%20Aided%20Initial%20Alignment%20Method%20for%20MEMS-IMU%20Based%20on%20Backtracking%20Algorithm%20and%20Backward%20Filtering
|
https://paperswithcode.com/paper/a-gnss-aided-initial-alignment-method-for
|
A GNSS Aided Initial Alignment Method for MEMS-IMU Based on Backtracking Algorithm and Backward Filtering
|
2202.13700
|
none
|
β
Official
|
β No Mention
|
https://github.com/mxxxr/mgfwa
|
https://paperswithcode.com/paper/a-gpu-implementation-of-multi-guiding-spark
|
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
|
2501.03944
|
none
|
β
Official
|
π In Paper
|
https://github.com/pnnl/lpNNPS4SPH
|
https://paperswithcode.com/paper/a-gpu-accelerated-mixed-precision-smoothed
|
A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates
|
2401.08586
|
none
|
β
Official
|
π In Paper
|
https://github.com/mppmu/secdec
|
https://paperswithcode.com/paper/a-gpu-compatible-quasi-monte-carlo-integrator
|
A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec
|
1811.11720
|
none
|
β
Official
|
π In Paper
|
https://github.com/ykkan/fmm4rbgpu.jl
|
https://paperswithcode.com/paper/a-gpu-parallelized-interpolation-based-fast
|
A GPU-Parallelized Interpolation-Based Fast Multipole Method for the Relativistic Space-Charge Field Calculation
|
2302.07567
|
none
|
β
Official
|
π In Paper
|
https://github.com/tsinghua-fib-lab/moss
|
https://paperswithcode.com/paper/a-gpu-accelerated-large-scale-simulator-for
|
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
|
2406.10661
|
none
|
β
Official
|
π In Paper
|
https://github.com/aalto-cfd/dnslabib
|
https://paperswithcode.com/paper/a-gpu-accelerated-computational-fluid
|
A GPU-accelerated computational fluid dynamics solver for assessing shear-driven indoor airflow and virus transmission by scale-resolved simulations
|
2204.02107
|
none
|
β
Official
|
π In Paper
|
https://github.com/andrei-v-frolov/healpix-viewer
|
https://paperswithcode.com/paper/a-gpu-accelerated-viewer-for-healpix-maps
|
A GPU-accelerated viewer for HEALPix maps
|
2305.11507
|
none
|
β
Official
|
π In Paper
|
https://github.com/xi-liu-cs/water
|
https://paperswithcode.com/paper/a-gpu-based-hydrodynamic-simulator-with-boid
|
A GPU-based Hydrodynamic Simulator with Boid Interactions
|
2311.15088
|
none
|
β
Official
|
π In Paper
|
https://github.com/nvidia-merlin/hugectr
|
https://paperswithcode.com/paper/a-gpu-specialized-inference-parameter-server
|
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models
|
2210.08804
|
tf
|
β
Official
|
π In Paper
|
https://github.com/attila-lischka/GREAT
|
https://paperswithcode.com/paper/a-great-architecture-for-edge-based-graph
|
A GREAT Architecture for Edge-Based Graph Problems Like TSP
|
2408.16717
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/snesseris/great-project
|
https://paperswithcode.com/paper/a-great-model-comparison-against-the
|
A GREAT model comparison against the cosmological constant
|
2111.13083
|
none
|
β
Official
|
π In Paper
|
https://github.com/siyangliastro/gaia-dr3-milky-way-trgb
|
https://paperswithcode.com/paper/a-gaia-data-release-3-view-on-the-tip-of-the
|
A Gaia Data Release 3 View on the Tip of the Red Giant Branch Luminosity
|
2304.06695
|
none
|
β
Official
|
π In Paper
|
https://github.com/jan-rybizki/Galaxia_wrap
|
https://paperswithcode.com/paper/a-gaia-early-dr3-mock-stellar-catalog
|
A Gaia early DR3 mock stellar catalog: Galactic prior and selection function
|
2004.09991
|
none
|
β
Official
|
π In Paper
|
https://github.com/philbull/ghost
|
https://paperswithcode.com/paper/a-galaxy-halo-model-for-multiple-cosmological
|
A Galaxy-Halo Model for Multiple Cosmological Tracers
|
1610.08948
|
none
|
β
Official
|
π In Paper
|
https://github.com/granttremblay/Tremblay2018_Code
|
https://paperswithcode.com/paper/a-galaxy-scale-fountain-of-cold-molecular-gas
|
A Galaxy-Scale Fountain of Cold Molecular Gas Pumped by a Black Hole
|
1808.00473
|
none
|
β
Official
|
π In Paper
|
https://github.com/luisamontanari/contrasimgame
|
https://paperswithcode.com/paper/a-game-characterization-for-contrasimilarity
|
A Game Characterization for Contrasimilarity
|
2108.10492
|
none
|
β
Official
|
π In Paper
|
https://github.com/jeffhj/GGN
|
https://paperswithcode.com/paper/a-game-generative-network-framework-with-its
|
A Game Generative Network Framework with its Application to Relationship Inference
|
2001.03758
|
none
|
β
Official
|
β No Mention
|
https://github.com/code-terminator/classwise_rationale
|
https://paperswithcode.com/paper/a-game-theoretic-approach-to-class-wise
|
A Game Theoretic Approach to Class-wise Selective Rationalization
|
1910.12853
|
tf
|
β
Official
|
π In Paper
|
https://github.com/louisabraham/cfrgame
|
https://paperswithcode.com/paper/a-game-of-competition-for-risk
|
A Game of Competition for Risk
|
2305.18941
|
none
|
β
Official
|
π In Paper
|
https://github.com/TrustAI/DeepGame
|
https://paperswithcode.com/paper/a-game-based-approximate-verification-of-deep
|
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
|
1807.03571
|
tf
|
β
Official
|
π In Paper
|
https://github.com/xujiahuayz/AtomicSwapGameTheory
|
https://paperswithcode.com/paper/a-game-theoretic-analysis-of-cross-chain
|
A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs
|
2011.11325
|
none
|
β
Official
|
β No Mention
|
https://github.com/aniq55/coexistence
|
https://paperswithcode.com/paper/a-game-theoretic-framework-for-coexistence-of
|
A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum
|
2012.10644
|
none
|
β
Official
|
π In Paper
|
https://github.com/portal-cornell/game-theoretic-forecasting-planning
|
https://paperswithcode.com/paper/a-game-theoretic-framework-for-joint
|
A Game-Theoretic Framework for Joint Forecasting and Planning
|
2308.06137
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/kalsheh2/DemandResponse
|
https://paperswithcode.com/paper/a-game-theoretic-framework-for-multi-period
|
A Game-Theoretic Framework for Multi-Period-Multi-Company Demand Response Management in the Smart Grid
|
1710.00145
|
none
|
β
Official
|
π In Paper
|
https://github.com/jrmazarura/GPM
|
https://paperswithcode.com/paper/a-gamma-poisson-mixture-topic-model-for-short
|
A Gamma-Poisson Mixture Topic Model for Short Text
|
2004.11464
|
none
|
β
Official
|
π In Paper
|
https://github.com/ixiaohuihuihui/gcc-net
|
https://paperswithcode.com/paper/a-gated-cross-domain-collaborative-network
|
A Gated Cross-domain Collaborative Network for Underwater Object Detection
|
2306.14141
|
pytorch
|
β
Official
|
π 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.