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/ali-vilab/vace
|
https://paperswithcode.com/paper/vace-all-in-one-video-creation-and-editing
|
VACE: All-in-One Video Creation and Editing
|
2503.07598
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/yangyucheng000/papercode-2/tree/main/WS-VAD-mindspore-main
|
https://paperswithcode.com/paper/vad-vectorized-scene-representation-for
|
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
|
2303.12077
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/MindSpore-scientific-2/code-1/tree/main/VAE-Creative-Discovery-using-QD-Search
|
https://paperswithcode.com/paper/vae-explainer-supplement-learning-variational
|
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
|
2409.09011
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/jerryyli/valhalla-nmt
|
https://paperswithcode.com/paper/valhalla-visual-hallucination-for-machine
|
VALHALLA: Visual Hallucination for Machine Translation
|
2206.00100
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MindSpore-scientific/code-2/tree/main/vat
|
https://paperswithcode.com/paper/vat-compliance-incentives
|
VAT Compliance Incentives
|
2002.07862
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/diskhkme/VCONV_DAE_TF
|
https://paperswithcode.com/paper/vconv-dae-deep-volumetric-shape-learning
|
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
|
1604.03755
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Vikrant7981/anomaly_detection
|
https://paperswithcode.com/paper/time-series-anomaly-detection-with
|
VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detection
|
1907.01702
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/microsoft/gui-agent-rl
|
https://paperswithcode.com/paper/vem-environment-free-exploration-for-training
|
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
|
2502.18906
|
jax
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MohammadJavadD/vfa
|
https://paperswithcode.com/paper/vfa-vision-frequency-analysis-of-foundation
|
VFA: Vision Frequency Analysis of Foundation Models and Human
|
2409.05817
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kracon7/vfas_code_release
|
https://paperswithcode.com/paper/vfas-grasp-closed-loop-grasping-with-visual
|
VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive Sampling
|
2310.18459
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/yangyucheng000/papercode-2/tree/main/vglaw-mindspore
|
https://paperswithcode.com/paper/vggsound-a-large-scale-audio-visual-dataset
|
VGGSound: A Large-scale Audio-Visual Dataset
|
2004.14368
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/wenbihan/vidosat_icip2015
|
https://paperswithcode.com/paper/vidosat-high-dimensional-sparsifying
|
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising
|
1710.00947
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/sbunian/VINS
|
https://paperswithcode.com/paper/vins-visual-search-for-mobile-user-interface
|
VINS: Visual Search for Mobile User Interface Design
|
2102.05216
|
none
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/zhangyongmao/VISinger2
|
https://paperswithcode.com/paper/visinger-2-high-fidelity-end-to-end-singing
|
VISinger 2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by Digital Signal Processing Synthesizer
|
2211.02903
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/eowjd0512/VITAMIN-E
|
https://paperswithcode.com/paper/vitamin-e-visual-tracking-and-mapping-with
|
VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points
|
1904.10324
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/pwc-1/Paper-9/tree/main/5/vits
|
https://paperswithcode.com/paper/vits-variational-inference-thomson-sampling
|
VITS : Variational Inference Thompson Sampling for contextual bandits
|
2307.10167
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/sagachat/VLASE
|
https://paperswithcode.com/paper/vlase-vehicle-localization-by-aggregating
|
VLASE: Vehicle Localization by Aggregating Semantic Edges
|
1807.02536
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/VectorInstitute/VLDBench
|
https://paperswithcode.com/paper/vldbench-vision-language-models
|
VLDBench: Vision Language Models Disinformation Detection Benchmark
|
2502.11361
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Soldelli/VLG-Net
|
https://paperswithcode.com/paper/vlg-net-video-language-graph-matching-network
|
VLG-Net: Video-Language Graph Matching Network for Video Grounding
|
2011.10132
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/evelinehong/VLGrammar
|
https://paperswithcode.com/paper/vlgrammar-grounded-grammar-induction-of
|
VLGrammar: Grounded Grammar Induction of Vision and Language
|
2103.12975
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/vlm2-bench/VLM2-Bench
|
https://paperswithcode.com/paper/vlm-2-bench-a-closer-look-at-how-well-vlms
|
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
|
2502.12084
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/uzh/vm-mad
|
https://paperswithcode.com/paper/vm-mad-a-cloud-cluster-software-for-service
|
VM-MAD: a cloud/cluster software for service-oriented academic environments
|
1302.2529
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/SHI-Labs/VMFormer
|
https://paperswithcode.com/paper/vmformer-end-to-end-video-matting-with
|
VMFormer: End-to-End Video Matting with Transformer
|
2208.12801
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/XinArkh/VNect
|
https://paperswithcode.com/paper/vnect-real-time-3d-human-pose-estimation-with
|
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
|
1705.01583
|
tf
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/facebookresearch/eyefultower
|
https://paperswithcode.com/paper/vr-nerf-high-fidelity-virtualized-walkable
|
VR-NeRF: High-Fidelity Virtualized Walkable Spaces
|
2311.02542
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/unitaryai/VTC
|
https://paperswithcode.com/paper/vtc-improving-video-text-retrieval-with-user
|
VTC: Improving Video-Text Retrieval with User Comments
|
2210.10820
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/Tinysqua/VTGAN-pytorch-version
|
https://paperswithcode.com/paper/vtgan-semi-supervised-retinal-image-synthesis
|
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
|
2104.06757
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/shami-EEG/VULCAN-0D
|
https://paperswithcode.com/paper/vulcan-an-open-source-validated-chemical
|
VULCAN: an Open-Source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres
|
1607.00409
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/AuthorityWang/VideoGS
|
https://paperswithcode.com/paper/v-3-viewing-volumetric-videos-on-mobiles-via
|
V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
|
2409.13648
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Oscared/thesis
|
https://paperswithcode.com/paper/validating-hyperspectral-image-segmentation
|
Validating Hyperspectral Image Segmentation
|
1811.03707
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/maamari/USCCosmology
|
https://paperswithcode.com/paper/validating-planck-sz2-clusters-with-optical
|
Validating Planck SZ2 Clusters with Optical Counterparts
|
1907.06364
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/sisl/NeuralPriorityOptimizer.jl
|
https://paperswithcode.com/paper/validation-of-image-based-neural-network
|
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing
|
2003.02381
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/spcdata/tcv-x21
|
https://paperswithcode.com/paper/validation-of-edge-turbulence-codes-against
|
Validation of edge turbulence codes against the TCV-X21 diverted L-mode reference case
|
2109.01618
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/giulianonetto/bayesdca
|
https://paperswithcode.com/paper/value-of-information-analysis-for-external
|
Value of Information Analysis for External Validation of Risk Prediction Models
|
2208.03343
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/chjackson/voibayes
|
https://paperswithcode.com/paper/value-of-information-sensitivity-analysis-and
|
Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis
|
1703.08994
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Louiii/ValueDecomposition
|
https://paperswithcode.com/paper/value-decomposition-networks-for-cooperative
|
Value-Decomposition Networks For Cooperative Multi-Agent Learning
|
1706.05296
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Jeremyyny/Value-Spectrum
|
https://paperswithcode.com/paper/quantifying-preferences-of-vision-language
|
Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
|
2411.11479
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/neerajbhat98/ValueNet
|
https://paperswithcode.com/paper/valuenet-a-neural-text-to-sql-architecture
|
ValueNet: A Natural Language-to-SQL System that Learns from Database Information
|
2006.00888
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mwatelescope/birli
|
https://paperswithcode.com/paper/van-vleck-correction-generalization-for
|
Van Vleck correction generalization for complex correlators with multilevel quantization
|
1608.04367
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Jiayun-Dong/vic
|
https://paperswithcode.com/paper/variable-importance-clouds-a-way-to-explore
|
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
|
1901.03209
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/AMorporkian/VLE-torch
|
https://paperswithcode.com/paper/variable-length-embeddings
|
Variable Length Embeddings
|
2305.09967
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/duqbo/optdmd
|
https://paperswithcode.com/paper/variable-projection-methods-for-an-optimized
|
Variable projection methods for an optimized dynamic mode decomposition
|
1704.02343
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/zixuans/SurvNet
|
https://paperswithcode.com/paper/variable-selection-with-false-discovery-rate
|
Variable selection with false discovery rate control in deep neural networks
|
1909.07561
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/amit-sharma/chatgpt-causality-pairs
|
https://paperswithcode.com/paper/variation-based-cause-effect-identification
|
Variation-based Cause Effect Identification
|
2211.12016
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/keshavvinayak01/Dramatic-Chatbot
|
https://paperswithcode.com/paper/variational-attention-for-sequence-to
|
Variational Attention for Sequence-to-Sequence Models
|
1712.08207
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ilkhem/ivae
|
https://paperswithcode.com/paper/variational-autoencoders-and-nonlinear-ica-a
|
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
|
1907.04809
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/deadzombie2333/Lagrangian_simulation_VAE
|
https://paperswithcode.com/paper/variational-autoencoding-the-lagrangian
|
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System
|
1811.11896
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/jiayu-ch15/Variational-Automatic-Curriculum-Learning
|
https://paperswithcode.com/paper/variational-automatic-curriculum-learning-for
|
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
|
2111.04613
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mijungi/vips_code
|
https://paperswithcode.com/paper/variational-bayes-in-private-settings-vips
|
Variational Bayes In Private Settings (VIPS)
|
1611.00340
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MaudBqrd/VBLE
|
https://paperswithcode.com/paper/variational-bayes-image-restoration-with
|
Variational Bayes image restoration with compressive autoencoders
|
2311.17744
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/VBayesLab/Manifold-VB
|
https://paperswithcode.com/paper/variational-bayes-on-manifolds
|
Variational Bayes on Manifolds
|
1908.03097
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/yixinwang/vbmisspec-public
|
https://paperswithcode.com/paper/variational-bayes-under-model
|
Variational Bayes under Model Misspecification
|
1905.10859
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/andymiller/vboost
|
https://paperswithcode.com/paper/variational-boosting-iteratively-refining
|
Variational Boosting: Iteratively Refining Posterior Approximations
|
1611.06585
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/andy194673/nlg-scvae
|
https://paperswithcode.com/paper/variational-cross-domain-natural-language
|
Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
|
1812.08879
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/AbIsuNav/DD2412_project
|
https://paperswithcode.com/paper/variational-denoising-network-toward-blind
|
Variational Denoising Network: Toward Blind Noise Modeling and Removal
|
1908.11314
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/lihenryhfl/SpectralVAEGAN
|
https://paperswithcode.com/paper/diffusion-variational-autoencoders-1
|
Variational Diffusion Autoencoders with Random Walk Sampling
|
1905.12724
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/KurochkinAlexey/VHVM
|
https://paperswithcode.com/paper/variational-heteroscedastic-volatility-model
|
Variational Heteroscedastic Volatility Model
|
2204.05806
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/futoshi-futami/Robust_VI
|
https://paperswithcode.com/paper/variational-inference-based-on-robust
|
Variational Inference based on Robust Divergences
|
1710.06595
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/shaandesai1/VIGN
|
https://paperswithcode.com/paper/vign-variational-integrator-graph-networks
|
Variational Integrator Graph Networks for Learning Energy Conserving Dynamical Systems
|
2004.13688
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/jbinas/gym-mnist
|
https://paperswithcode.com/paper/variational-intrinsic-control
|
Variational Intrinsic Control
|
1611.07507
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mhw32/variational-item-response-theory-public
|
https://paperswithcode.com/paper/variational-item-response-theory-fast
|
Variational Item Response Theory: Fast, Accurate, and Expressive
|
2002.00276
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/hcllaw/VBAgg
|
https://paperswithcode.com/paper/variational-learning-on-aggregate-outputs
|
Variational Learning on Aggregate Outputs with Gaussian Processes
|
1805.08463
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/zhenzhangye/orthonormal_to_perspective
|
https://paperswithcode.com/paper/variational-methods-for-normal-integration
|
Variational Methods for Normal Integration
|
1709.05965
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/allera/One_Dim_Mixture_Models
|
https://paperswithcode.com/paper/variational-mixture-models-with-gamma-or
|
Variational Mixture Models with Gamma or inverse-Gamma components
|
1607.07573
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/npusteln/vmd-prox-internal-waves
|
https://paperswithcode.com/paper/variational-mode-decomposition-for-estimating
|
Variational Mode Decomposition for estimating critical reflected internal wave in stratified fluid
|
2012.07158
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Panlizhi/VPN
|
https://paperswithcode.com/paper/variational-positive-incentive-noise-how
|
Variational Positive-incentive Noise: How Noise Benefits Models
|
2306.07651
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/georgkruse/hamiltonian-based-qrl
|
https://paperswithcode.com/paper/variational-quantum-circuit-design-for
|
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
|
2312.13798
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/iisharankov/QuantumStateTomography
|
https://paperswithcode.com/paper/variational-quantum-circuits-for-quantum
|
Variational Quantum Circuits for Quantum State Tomography
|
1912.07286
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/nguyenvulinh666/Variational-Quantum-EigeinSolver
|
https://paperswithcode.com/paper/vqe-for-ising-model-a-comparative-analysis-of
|
Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimization Methods
|
2412.19176
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/yuyuz/Variational-Reasoning-Networks
|
https://paperswithcode.com/paper/variational-reasoning-for-question-answering
|
Variational Reasoning for Question Answering with Knowledge Graph
|
1709.04071
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/edouardpineau/Variational-Recurrent-Neural-Networks-for-Graph-Classification
|
https://paperswithcode.com/paper/graph-classification-with-recurrent
|
Variational Recurrent Neural Networks for Graph Classification
|
1902.02721
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ronlynes/variational_temporal_abstraction
|
https://paperswithcode.com/paper/variational-temporal-abstraction
|
Variational Temporal Abstraction
|
1910.00775
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ahaldane/MSA_VAE
|
https://paperswithcode.com/paper/variational-auto-encoding-of-protein
|
Variational auto-encoding of protein sequences
|
1712.03346
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/msmbuilder/msmbuilder
|
https://paperswithcode.com/paper/variational-cross-validation-of-slow
|
Variational cross-validation of slow dynamical modes in molecular kinetics
|
1407.8083
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/stefanobarison/variational-feynman-kitaev
|
https://paperswithcode.com/paper/variational-dynamics-as-a-ground-state
|
Variational dynamics as a ground-state problem on a quantum computer
|
2204.03454
|
none
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/Darkdragon84/IMPS_ML_tools
|
https://paperswithcode.com/paper/11032286
|
Variational matrix product ansatz for dispersion relations
|
1103.2286
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/aGIToz/Graph_Signal_Processing
|
https://paperswithcode.com/paper/variational-models-for-signal-processing-with
|
Variational models for signal processing with Graph Neural Networks
|
2103.16337
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/jihuilee/VCERGM
|
https://paperswithcode.com/paper/varying-coefficient-models-for-dynamic
|
Varying-coefficient models for dynamic networks
|
1702.03632
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kangpeilun/VastGaussian
|
https://paperswithcode.com/paper/vastgaussian-vast-3d-gaussians-for-large
|
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
|
2402.17427
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/Vchitect/Vchitect-2.0
|
https://paperswithcode.com/paper/vchitect-2-0-parallel-transformer-for-scaling
|
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
|
2501.08453
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/parthe/VAMP
|
https://paperswithcode.com/paper/vector-approximate-message-passing
|
Vector Approximate Message Passing
|
1610.03082
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/clabat9/tangent-bundle-neural-networks
|
https://paperswithcode.com/paper/vector-diffusion-maps-and-the-connection
|
Vector Diffusion Maps and the Connection Laplacian
|
1102.0075
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/DatenBiene/Vector_Quantile_Regression
|
https://paperswithcode.com/paper/vector-quantile-regression-an-optimal
|
Vector Quantile Regression: An Optimal Transport Approach
|
1406.4643
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/fliptanedo/flip-www-2020
|
https://paperswithcode.com/paper/vector-self-interacting-dark-matter
|
Vector Self-Interacting Dark Matter
|
1907.10217
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/adrienchaton/VQ-VAE-timbre
|
https://paperswithcode.com/paper/vector-quantized-timbre-representation
|
Vector-Quantized Timbre Representation
|
2007.06349
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/AyanKumarBhunia/Self-Supervised-Learning-for-Sketch
|
https://paperswithcode.com/paper/vectorization-and-rasterization-self
|
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
|
2103.13716
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/GilgameshD/Multiple-View-Car-Localization
|
https://paperswithcode.com/paper/vehicle-pose-and-shape-estimation-through
|
Vehicle Pose and Shape Estimation through Multiple Monocular Vision
|
1802.03515
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/christianpayer/MedicalDataAugmentationTool-VerSe
|
https://paperswithcode.com/paper/verse-a-vertebrae-labelling-and-segmentation
|
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
|
2001.09193
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kupl/verismart-public
|
https://paperswithcode.com/paper/verismart-a-highly-precise-safety-verifier
|
VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts
|
1908.11227
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ada-shen/utility
|
https://paperswithcode.com/paper/utility-analysis-of-network-architectures-for
|
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing
|
1911.09053
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/safe-rl-team/viper-verifiable-rl-impl
|
https://paperswithcode.com/paper/verifiable-reinforcement-learning-via-policy
|
Verifiable Reinforcement Learning via Policy Extraction
|
1805.08328
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/aliabigdeli/nnenum
|
https://paperswithcode.com/paper/verification-of-deep-convolutional-neural
|
Verification of Deep Convolutional Neural Networks Using ImageStars
|
2004.05511
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/hannahaih/QISA
|
https://paperswithcode.com/paper/verified-quantum-information-scrambling
|
Verified Quantum Information Scrambling
|
1806.02807
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/magicyang1573/llm-hardware-test-generation
|
https://paperswithcode.com/paper/verilogreader-llm-aided-hardware-test
|
VerilogReader: LLM-Aided Hardware Test Generation
|
2406.04373
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/Verisig/verisig
|
https://paperswithcode.com/paper/181101828
|
Verisig: verifying safety properties of hybrid systems with neural network controllers
|
1811.01828
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/JQIamo/beatnote-pll
|
https://paperswithcode.com/paper/versatile-digital-ghz-phase-lock-for-external
|
Versatile Digital GHz Phase Lock for External Cavity Diode Lasers
|
0809.3607
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ttm/versinus
|
https://paperswithcode.com/paper/14127311
|
Versinus: a visualization method for graphs in evolution
|
1412.7311
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ChengeLi/LongTerm360FoV
|
https://paperswithcode.com/paper/very-long-term-field-of-view-prediction-for
|
Very Long Term Field of View Prediction for 360-degree Video Streaming
|
1902.01439
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/LIA-DiTella/VesselVAE
|
https://paperswithcode.com/paper/vesselvae-recursive-variational-autoencoders
|
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
|
2307.03592
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/BigRedT/vico
|
https://paperswithcode.com/paper/vico-word-embeddings-from-visual-co
|
ViCo: Word Embeddings from Visual Co-occurrences
|
1908.08527
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
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.