repo_url
stringlengths 26
200
| paper_url
stringlengths 36
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| 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/elseml/deephierarchicalmodelcomparison
|
https://paperswithcode.com/paper/a-deep-learning-method-for-comparing-bayesian
|
A Deep Learning Method for Comparing Bayesian Hierarchical Models
|
2301.11873
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/mli-lab/deepdewedge
|
https://paperswithcode.com/paper/a-deep-learning-method-for-simultaneous
|
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
|
2311.05539
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/dsanmartin/chilean-bills-classification
|
https://paperswithcode.com/paper/a-deep-learning-model-for-chilean-bills
|
A Deep Learning Model for Chilean Bills Classification
|
1912.12120
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/qimingfan10/SAM-VMNet
|
https://paperswithcode.com/paper/sam-vmnet-deep-neural-networks-for-coronary
|
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images
|
2406.00492
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/burakulas/ebclass
|
https://paperswithcode.com/paper/a-deep-learning-neural-network-algorithm-for
|
A Deep Learning Neural Network Algorithm for Classification of Eclipsing Binary Light Curves
|
2306.02686
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/arvindmohan/LSTM_ROM_Arxiv
|
https://paperswithcode.com/paper/a-deep-learning-based-approach-to-reduced
|
A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks
|
1804.09269
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sunwei925/SimpleVQA
|
https://paperswithcode.com/paper/a-deep-learning-based-no-reference-quality
|
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
|
2204.14047
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/MatteoStefanini/DeepVM
|
https://paperswithcode.com/paper/a-deep-learning-based-approach-to-vm-behavior
|
A Deep Learning based approach to VM behavior identification in cloud systems
|
1903.01930
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/tang39/DLADA
|
https://paperswithcode.com/paper/a-deep-learning-accelerated-data-assimilation
|
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
|
2105.09468
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/svjlucas/mangroveai
|
https://paperswithcode.com/paper/a-deep-learning-based-approach-for-mangrove
|
A Deep Learning-Based Approach for Mangrove Monitoring
|
2410.05443
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/MauroZMJ/Deep_Learning_based_Low_complexity_MIMO_Precoding_Design
|
https://paperswithcode.com/paper/a-deep-learning-based-framework-for-low
|
A Deep Learning-Based Framework for Low Complexity Multi-User MIMO Precoding Design
|
2207.03765
|
tf
|
✅ Official
|
❓ No Mention
|
https://github.com/zzb-nice/doa_est_master
|
https://paperswithcode.com/paper/a-deep-learning-based-supervised-transfer
|
A Deep Learning-Based Supervised Transfer Learning Framework for DOA Estimation with Array Imperfections
|
2504.13394
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ID56/Multimodal-Fusion-CRNN
|
https://paperswithcode.com/paper/a-deep-learning-based-multimodal-depth-aware
|
A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
|
2107.02543
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/shanzha09/COIPS
|
https://paperswithcode.com/paper/a-deep-learning-based-quality-assessment-and
|
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
|
2107.10476
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/TUMFTM/CameraRadarFusionNet
|
https://paperswithcode.com/paper/a-deep-learning-based-radar-and-camera-sensor-1
|
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
|
2005.07431
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mit-ll/unet-vda
|
https://paperswithcode.com/paper/a-deep-learning-based-velocity-dealiasing
|
A Deep Learning-based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator
|
2211.13181
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/noa/naacl2021
|
https://paperswithcode.com/paper/a-deep-metric-learning-approach-to-account
|
A Deep Metric Learning Approach to Account Linking
|
2105.07263
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/bgu-cs-vil/deepmcbm
|
https://paperswithcode.com/paper/a-deep-moving-camera-background-model
|
A Deep Moving-camera Background Model
|
2209.07923
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/huynt-plus/papers
|
https://paperswithcode.com/paper/a-deep-neural-architecture-for-sentence-level
|
A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking
|
1706.08032
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/xmedimadix/compact-source-removal
|
https://paperswithcode.com/paper/a-deep-neural-network-approach-to-compact
|
A Deep Neural Network Approach to Compact Source Removal
|
2502.18345
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/housenwang/nddes
|
https://paperswithcode.com/paper/nddes-a-deep-neural-network-framework-for
|
A Deep Neural Network Framework for Solving Forward and Inverse Problems in Delay Differential Equations
|
2408.09202
|
paddle
|
✅ Official
|
📝 In Paper
|
https://github.com/idrl-lab/supervised_layout_benchmark
|
https://paperswithcode.com/paper/a-deep-neural-network-surrogate-modeling
|
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
|
2103.11177
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/nih-fmrif/MLT_Body_Part_Segmentation
|
https://paperswithcode.com/paper/a-deep-neural-network-tool-for-automatic
|
A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes
|
2009.09900
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/osmanberke/Deep-SSVEP-BCI
|
https://paperswithcode.com/paper/a-deep-neural-network-for-ssvep-based-brain
|
A Deep Neural Network for SSVEP-based Brain-Computer Interfaces
|
2011.08562
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/kangliao929/ordinaldistortion
|
https://paperswithcode.com/paper/a-deep-ordinal-distortion-estimation-approach
|
A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
|
2007.10689
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/ryienh/dggen
|
https://paperswithcode.com/paper/a-deep-probabilistic-framework-for-continuous
|
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
|
2412.15582
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Monash-NeuroAI/Deep-Spatiotemporal-Variational-Bayes
|
https://paperswithcode.com/paper/a-deep-probabilistic-spatiotemporal-framework
|
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
|
2302.07243
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/petrosgk/L-Game-DQN
|
https://paperswithcode.com/paper/a-deep-q-learning-agent-for-the-l-game-with
|
A Deep Q-Learning Agent for the L-Game with Variable Batch Training
|
1802.06225
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/baselm/cmarl
|
https://paperswithcode.com/paper/a-deep-recurrent-q-network-towards-self
|
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
|
1901.04011
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/Jinjiarui/DRSR
|
https://paperswithcode.com/paper/a-deep-recurrent-survival-model-for-unbiased
|
A Deep Recurrent Survival Model for Unbiased Ranking
|
2004.14714
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/cloudslab/dre-scale
|
https://paperswithcode.com/paper/a-deep-recurrent-reinforcement-learning
|
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
|
2308.05937
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zdou0830/crosslingual_summarization_semantic
|
https://paperswithcode.com/paper/a-deep-reinforced-model-for-zero-shot-cross-1
|
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
|
2006.15454
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/quantumiracle/nash-dqn
|
https://paperswithcode.com/paper/a-deep-reinforcement-learning-approach-for-13
|
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
|
2207.08894
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/chkwon/TSPDrone-RL
|
https://paperswithcode.com/paper/a-deep-reinforcement-learning-approach-for-11
|
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
|
2112.12545
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/petrosgk/AudioRL
|
https://paperswithcode.com/paper/a-deep-reinforcement-learning-approach-to-3
|
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
|
2105.04488
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sfujim/SR-DICE
|
https://paperswithcode.com/paper/a-deep-reinforcement-learning-approach-to-4
|
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
|
2106.06854
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/watermeloncq/drl-dynamic-optimization-portfolio-SB3py37
|
https://paperswithcode.com/paper/dynamic-optimization-of-portfolio-allocation
|
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock Market
|
2412.18563
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/kit-cel/handoveroptimdrl
|
https://paperswithcode.com/paper/a-deep-reinforcement-learning-based-approach-4
|
A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks
|
2401.14823
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shizhouxing/DialogueDiscourseParsing
|
https://paperswithcode.com/paper/a-deep-sequential-model-for-discourse-parsing
|
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
|
1812.00176
|
tf
|
✅ Official
|
🐙 On GitHub
|
https://github.com/ruthvik92/SpykeFlow
|
https://paperswithcode.com/paper/a-deep-unsupervised-feature-learning-spiking
|
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
|
2002.11843
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/i6092467/vadesc
|
https://paperswithcode.com/paper/a-deep-variational-approach-to-clustering
|
A Deep Variational Approach to Clustering Survival Data
|
2106.05763
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/fkong7/meshdeformnet
|
https://paperswithcode.com/paper/a-deep-learning-approach-for-direct-whole
|
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
|
2102.07899
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/hardware-fab/dl-to-locate-cos-for-sca
|
https://paperswithcode.com/paper/a-deep-learning-technique-to-locate
|
A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
|
2402.19037
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/YorkUCVIL/Static-Dynamic-Interpretability
|
https://paperswithcode.com/paper/a-deeper-dive-into-what-deep-spatiotemporal-1
|
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
|
2206.02846
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/cuguilke/psykedelic
|
https://paperswithcode.com/paper/a-deeper-look-into-convolutions-via-pruning
|
A Deeper Look into Convolutions via Eigenvalue-based Pruning
|
2102.02804
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/anonymous705/replication-package
|
https://paperswithcode.com/paper/a-defect-taxonomy-for-infrastructure-as-code
|
A Defect Taxonomy for Infrastructure as Code: A Replication Study
|
2505.01568
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/RalphMao/VMetrics
|
https://paperswithcode.com/paper/a-delay-metric-for-video-object-detection
|
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
|
1908.06368
|
none
|
✅ Official
|
📝 In Paper
|
https://zenodo.org/record/4592887
|
https://paperswithcode.com/paper/a-delphes-card-for-the-eic-yellow-report
|
A Delphes card for the EIC yellow-report detector
|
2103.06886
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/aorliche/demo-vae
|
https://paperswithcode.com/paper/a-demographic-conditioned-variational
|
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
|
2405.07977
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/alphansahin/FEELwithSDRs
|
https://paperswithcode.com/paper/a-demonstration-of-over-the-air-computation
|
A Demonstration of Over-the-Air Computation for Federated Edge Learning
|
2209.09954
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/lucasfidon/trustworthy-ai-fetal-brain-segmentation
|
https://paperswithcode.com/paper/a-dempster-shafer-approach-to-trustworthy-ai
|
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
|
2204.02779
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/apple/ml-dms-dataset
|
https://paperswithcode.com/paper/a-dense-material-segmentation-dataset-for
|
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
|
2207.10614
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shentao-yang/dense_reward_t2i
|
https://paperswithcode.com/paper/a-dense-reward-view-on-aligning-text-to-image
|
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
|
2402.08265
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/xuxiran/asad_densenet
|
https://paperswithcode.com/paper/a-densenet-based-method-for-decoding-auditory
|
A DenseNet-based method for decoding auditory spatial attention with EEG
|
2309.07690
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ysabdulghani/lmxbd
|
https://paperswithcode.com/paper/a-dependable-distance-estimator-to-black-hole
|
A Dependable Distance Estimator to Black Hole Low-Mass X-ray Binaries
|
2401.03654
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/XL2248/DREGCN
|
https://paperswithcode.com/paper/a-dependency-syntactic-knowledge-augmented
|
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
|
2004.01951
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/StatisticalReinforcementLearningLab/oralytics-post-deployment-analysis
|
https://paperswithcode.com/paper/a-deployed-online-reinforcement-learning
|
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
|
2409.02069
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/camel-lab/arabicchainbank
|
https://paperswithcode.com/paper/a-derivational-chainbank-for-modern-standard
|
A Derivational ChainBank for Modern Standard Arabic
|
2410.20463
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/numericalalgorithmsgroup/dfogn
|
https://paperswithcode.com/paper/a-derivative-free-gauss-newton-method
|
A Derivative-Free Gauss-Newton Method
|
1710.11005
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/jakubmartinka/fulvene-ml-fssh
|
https://paperswithcode.com/paper/a-descriptor-is-all-you-need-accurate-machine
|
A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors
|
2505.23344
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/emrecanacikgoz/awesome-conversational-agents
|
https://paperswithcode.com/paper/a-desideratum-for-conversational-agents
|
A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
|
2504.16939
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/julesfowler/wiggle
|
https://paperswithcode.com/paper/a-design-study-on-adaptive-primaries-for-1-2
|
A Design Study on Adaptive Primaries for 1-2 Meter Class Telescopes
|
2107.13104
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/yzha-yuzi/anchor-stream-design
|
https://paperswithcode.com/paper/a-design-and-analytic-strategy-for-monitoring
|
A Design and Analytic Strategy for Monitoring Disease Positivity and Case Characteristics in Accessible Closed Populations
|
2212.04911
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/wsntxxn/richdetailaudiotextsimulation
|
https://paperswithcode.com/paper/a-detailed-audio-text-data-simulation
|
A Detailed Audio-Text Data Simulation Pipeline using Single-Event Sounds
|
2403.04594
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/chihfanhsu/fl_detection
|
https://paperswithcode.com/paper/a-detailed-look-at-cnn-based-approaches-in
|
A Detailed Look At CNN-based Approaches In Facial Landmark Detection
|
2005.08649
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/fergusdonnan/pahdecomp
|
https://paperswithcode.com/paper/a-detailed-look-at-the-most-obscured-galactic
|
A Detailed Look at the Most Obscured Galactic Nuclei in the Mid-Infrared
|
2211.09628
|
jax
|
✅ Official
|
📝 In Paper
|
https://github.com/fair4hep/xai4toptagger
|
https://paperswithcode.com/paper/a-detailed-study-of-interpretability-of-deep
|
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
|
2210.04371
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Xylon-Sean/Detector-oblivious-keypoint-matcher
|
https://paperswithcode.com/paper/a-detector-oblivious-multi-arm-network-for
|
A Detector-oblivious Multi-arm Network for Keypoint Matching
|
2104.00947
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/benweishi/FD-ridge-regression
|
https://paperswithcode.com/paper/a-deterministic-streaming-sketch-for-ridge
|
A Deterministic Streaming Sketch for Ridge Regression
|
2002.02013
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/TrishaDatta/PrivacyPreservingTrafficObfuscation
|
https://paperswithcode.com/paper/a-developer-friendly-library-for-smart-home
|
A Developer-Friendly Library for Smart Home IoT Privacy-Preserving Traffic Obfuscation
|
1808.07432
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/alexatartaglini/developmental-shape-bias
|
https://paperswithcode.com/paper/a-developmentally-inspired-examination-of
|
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines
|
2202.08340
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zouharvi/trust-intervention
|
https://paperswithcode.com/paper/a-diachronic-perspective-on-user-trust-in-ai
|
A Diachronic Perspective on User Trust in AI under Uncertainty
|
2310.13544
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/copenlu/xai-benchmark
|
https://paperswithcode.com/paper/a-diagnostic-study-of-explainability
|
A Diagnostic Study of Explainability Techniques for Text Classification
|
2009.13295
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/KatyFisch/kernelbasedSparsityDiagnostic
|
https://paperswithcode.com/paper/a-diagnostic-to-find-and-help-combat
|
A Diagnostic to Find and Help Combat Positivity Issues - with a Focus on Continuous Treatments
|
2502.11820
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/allenai/dqa-net
|
https://paperswithcode.com/paper/a-diagram-is-worth-a-dozen-images
|
A Diagram Is Worth A Dozen Images
|
1603.07396
|
tf
|
✅ Official
|
🐙 On GitHub
|
https://github.com/coli-saar/placement-game
|
https://paperswithcode.com/paper/a-dialogue-game-for-eliciting-balanced
|
A Dialogue Game for Eliciting Balanced Collaboration
|
2406.08202
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/aurangau/ICIP2024
|
https://paperswithcode.com/paper/a-dictionary-based-approach-for-removing-out
|
A Dictionary Based Approach for Removing Out-of-Focus Blur
|
2406.11330
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mmahsereci/kernel_embedding_dictionary
|
https://paperswithcode.com/paper/a-dictionary-of-closed-form-kernel-mean
|
A Dictionary of Closed-Form Kernel Mean Embeddings
|
2504.18830
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/clips/hades
|
https://paperswithcode.com/paper/a-dictionary-based-approach-to-racism
|
A Dictionary-based Approach to Racism Detection in Dutch Social Media
|
1608.08738
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/avkskvl/das-f-model
|
https://paperswithcode.com/paper/a-diff-attention-aware-state-space-fusion
|
A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification
|
2504.16665
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/chaoming0625/differentiable-brain-modeling-workflow
|
https://paperswithcode.com/paper/a-differentiable-approach-to-multi-scale
|
A Differentiable Approach to Multi-scale Brain Modeling
|
2406.19708
|
jax
|
✅ Official
|
📝 In Paper
|
https://bitbucket.org/nelliottrosa/base_fairness
|
https://paperswithcode.com/paper/a-differentiable-distance-approximation-for
|
A Differentiable Distance Approximation for Fairer Image Classification
|
2210.04369
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ArgonneCPAC/diffmah
|
https://paperswithcode.com/paper/a-differentiable-model-of-the-assembly-of
|
A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos
|
2105.05859
|
jax
|
✅ Official
|
📝 In Paper
|
https://github.com/baryonpasters/diffprof
|
https://paperswithcode.com/paper/a-differentiable-model-of-the-evolution-of
|
A Differentiable Model of the Evolution of Dark Matter Halo Concentration
|
2309.07854
|
jax
|
✅ Official
|
📝 In Paper
|
https://bitbucket.org/sousaw/neuralil_manuscript_software
|
https://paperswithcode.com/paper/a-differentiable-neural-network-force-field
|
A Differentiable Neural-Network Force Field for Ionic Liquids
|
2106.16220
|
jax
|
✅ Official
|
📝 In Paper
|
https://github.com/ibm-research-tokyo/diffsnn
|
https://paperswithcode.com/paper/a-differentiable-point-process-with-its
|
A Differentiable Point Process with Its Application to Spiking Neural Networks
|
2106.00901
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/baceituno/dlm
|
https://paperswithcode.com/paper/a-differentiable-recipe-for-learning-visual
|
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
|
2111.05318
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/guoshi28/2stagealign
|
https://paperswithcode.com/paper/a-differentiable-two-stage-alignment-scheme
|
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
|
2203.09294
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/BayesLIM/BayesLIM
|
https://paperswithcode.com/paper/a-differentiable-end-to-end-forward-model-for
|
A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior
|
2504.07090
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/g-pichler/knife
|
https://paperswithcode.com/paper/knife-kernelized-neural-differential-entropy-1
|
A Differential Entropy Estimator for Training Neural Networks
|
2202.06618
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zzb-nice/doa_multimodel_optimize
|
https://paperswithcode.com/paper/a-differential-evolution-algorithm-with
|
A Differential Evolution Algorithm with Neighbor-hood Mutation for DOA Estimation
|
2507.06020
|
none
|
✅ Official
|
📝 In Paper
|
https://zenodo.org/record/4281091
|
https://paperswithcode.com/paper/a-differential-testing-approach-for
|
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms
|
2103.00141
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/AI-and-Blockchain/F23_HealthFederated
|
https://paperswithcode.com/paper/a-differentially-private-blockchain-based
|
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
|
2407.07054
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/sgiddens/DP-OWL
|
https://paperswithcode.com/paper/a-differentially-private-weighted-empirical
|
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
|
2307.13127
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/simonpcouch/wilcoxon
|
https://paperswithcode.com/paper/a-differentially-private-wilcoxon-signed-rank
|
A Differentially Private Wilcoxon Signed-Rank Test
|
1809.01635
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ml-jku/diffuco
|
https://paperswithcode.com/paper/a-diffusion-model-framework-for-unsupervised
|
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
|
2406.01661
|
jax
|
✅ Official
|
📝 In Paper
|
https://github.com/zhufq00/eventskeletongeneration
|
https://paperswithcode.com/paper/a-diffusion-model-for-event-skeleton
|
A Diffusion Model for Event Skeleton Generation
|
2305.17458
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/bradenmweight/QuantumMonteCarlo
|
https://paperswithcode.com/paper/a-diffusion-quantum-monte-carlo-approach-to
|
A Diffusion Quantum Monte Carlo Approach to the Polaritonic Ground State
|
2309.02349
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/yibai-shi/dwgf
|
https://paperswithcode.com/paper/a-diffusion-weighted-graph-framework-for-new
|
A Diffusion Weighted Graph Framework for New Intent Discovery
|
2310.15836
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/yifang-qin/diff-poi
|
https://paperswithcode.com/paper/a-diffusion-model-for-poi-recommendation
|
A Diffusion model for POI recommendation
|
2304.07041
|
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.