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/tiger-ai-lab/visualwebinstruct
|
https://paperswithcode.com/paper/visualwebinstruct-scaling-up-multimodal
|
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
|
2503.10582
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Athanasiamo/ggsegpaper
|
https://paperswithcode.com/paper/visualisation-of-brain-statistics-with-r
|
Visualisation of Brain Statistics with R-packages ggseg and ggseg3d
|
1912.08200
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/onyame/Git2PROV
|
https://paperswithcode.com/paper/visualization-of-contributions-to-open-source
|
Visualization of Contributions to Open-Source Projects
|
2010.08874
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/JunjH/Visualizing-CNNs-for-monocular-depth-estimation
|
https://paperswithcode.com/paper/visualization-of-convolutional-neural
|
Visualization of Convolutional Neural Networks for Monocular Depth Estimation
|
1904.03380
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/karanY2019/Visualizing-Deep-Graph-Generative-Models-for-Drug-Discovery
|
https://paperswithcode.com/paper/visualizing-deep-graph-generative-models-for
|
Visualizing Deep Graph Generative Models for Drug Discovery
|
2007.10333
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ShilpaJagadeeshappa/SikuliX
|
https://paperswithcode.com/paper/visualizing-object-detection-features
|
Visualizing Object Detection Features
|
1502.05461
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kasinxc/Visualizing-Trend-of-Key-Roles-in-News-Articles
|
https://paperswithcode.com/paper/visualizing-trends-of-key-roles-in-news
|
Visualizing Trends of Key Roles in News Articles
|
1909.05449
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/dpzhang/NetHOPs
|
https://paperswithcode.com/paper/visualizing-uncertainty-in-probabilistic
|
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs)
|
2108.09870
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/moboehle/Pytorch-LRP
|
https://paperswithcode.com/paper/visualizing-evidence-for-alzheimers-disease
|
Visualizing evidence for Alzheimer's disease in deep neural networks trained on structural MRI data
|
1903.07317
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/blent-ai/ALEPython
|
https://paperswithcode.com/paper/visualizing-the-effects-of-predictor
|
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
|
1612.08468
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/shailaja183/vlqa
|
https://paperswithcode.com/paper/diverse-visuo-lingustic-question-answering
|
Visuo-Linguistic Question Answering (VLQA) Challenge
|
2005.00330
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/princetonlips/vitruvion
|
https://paperswithcode.com/paper/vitruvion-a-generative-model-of-parametric
|
Vitruvion: A Generative Model of Parametric CAD Sketches
|
2109.14124
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mitmedialab/vizml
|
https://paperswithcode.com/paper/vizml-a-machine-learning-approach-to
|
VizML: A Machine Learning Approach to Visualization Recommendation
|
1808.04819
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/mitmedialab/viznet
|
https://paperswithcode.com/paper/viznet-towards-a-large-scale-visualization
|
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
|
1905.04616
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/jackson-kang/vqvc-pytorch
|
https://paperswithcode.com/paper/vocgan-a-high-fidelity-real-time-vocoder-with
|
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
|
2007.15256
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kaen2891/kaen2891.github.io
|
https://paperswithcode.com/paper/vocoder-free-end-to-end-voice-conversion-with
|
Vocoder-free End-to-End Voice Conversion with Transformer Network
|
2002.03808
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/JeremyCCHsu/vae4vc
|
https://paperswithcode.com/paper/voice-conversion-from-non-parallel-corpora
|
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
|
1610.04019
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/xingbow/TED_dataset
|
https://paperswithcode.com/paper/voicecoach-interactive-evidence-based
|
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
|
2001.07876
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mindslab-ai/voicefilter
|
https://paperswithcode.com/paper/voicefilter-lite-streaming-targeted-voice
|
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
|
2009.04323
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/dfpp/arap
|
https://paperswithcode.com/paper/voicify-your-ui-towards-android-app-control
|
Voicify Your UI: Towards Android App Control with Voice Commands
|
2305.05198
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/TobiasRp/vc_sample
|
https://paperswithcode.com/paper/void-and-cluster-sampling-of-large-scattered
|
Void-and-Cluster Sampling of Large Scattered Data and Trajectories
|
1907.05073
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/lioryariv/volsdf
|
https://paperswithcode.com/paper/volume-rendering-of-neural-implicit-surfaces
|
Volume Rendering of Neural Implicit Surfaces
|
2106.12052
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://gitlab.inria.fr/fmazy/hyperclip
|
https://paperswithcode.com/paper/volume-of-hypercubes-clipped-by-hyperplanes
|
Volume of Hypercubes Clipped by Hyperplanes and Combinatorial Identities
|
1512.07768
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/lanl/VoroCrust
|
https://paperswithcode.com/paper/vorocrust-voronoi-meshing-without-clipping
|
VoroCrust: Voronoi Meshing Without Clipping
|
1902.08767
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/TommasoPeletta/Topological-Reasoning-Application
|
https://paperswithcode.com/paper/voxlogica-a-spatial-model-checker-for
|
VoxLogicA: a Spatial Model Checker for Declarative Image Analysis (Extended Version)
|
1811.05677
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/txin96/voxresnet
|
https://paperswithcode.com/paper/voxresnet-deep-voxelwise-residual-networks
|
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
|
1608.05895
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/PointsCoder/VOTR
|
https://paperswithcode.com/paper/voxel-transformer-for-3d-object-detection
|
Voxel Transformer for 3D Object Detection
|
2109.02497
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/winterpan2017/adlreg
|
https://paperswithcode.com/paper/voxelmorph-a-learning-framework-for
|
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
|
1809.05231
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/dvlab-research/3d-box-segment-anything
|
https://paperswithcode.com/paper/voxelnext-fully-sparse-voxelnet-for-3d-object-1
|
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
|
2303.11301
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/karanwxliaa/CapSecure
|
https://paperswithcode.com/paper/vulnerability-analysis-of-captcha-using-deep
|
Vulnerability analysis of captcha using Deep learning
|
2302.09389
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/khuhm/W-Net
|
https://paperswithcode.com/paper/w-net-two-stage-u-net-with-misaligned-data
|
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
|
1911.08656
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/harrybraviner/self_directed_rl
|
https://paperswithcode.com/paper/wall-e-an-efficient-reinforcement-learning
|
WALL-E: An Efficient Reinforcement Learning Research Framework
|
1901.06086
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/WARM-3D/WARM-3D
|
https://paperswithcode.com/paper/warm-3d-a-weakly-supervised-sim2real-domain
|
WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection
|
2407.20818
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/zokost/warp_implementation
|
https://paperswithcode.com/paper/warp-on-the-benefits-of-weight-averaged
|
WARP: On the Benefits of Weight Averaged Rewarded Policies
|
2406.16768
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/yuewangmathbio/wendy
|
https://paperswithcode.com/paper/gene-regulatory-network-inference-with
|
WENDY: Covariance Dynamics Based Gene Regulatory Network Inference
|
2407.00754
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/AkojimaSLP/Neural-mask-estimation
|
https://paperswithcode.com/paper/wham-extending-speech-separation-to-noisy
|
WHAM!: Extending Speech Separation to Noisy Environments
|
1907.01160
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/yohanshin/WHAM
|
https://paperswithcode.com/paper/wham-reconstructing-world-grounded-humans
|
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
|
2312.07531
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kabrau/FaceDetection
|
https://paperswithcode.com/paper/wider-face-a-face-detection-benchmark
|
WIDER FACE: A Face Detection Benchmark
|
1511.06523
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/vishwa91/wire
|
https://paperswithcode.com/paper/wire-wavelet-implicit-neural-representations
|
WIRE: Wavelet Implicit Neural Representations
|
2301.05187
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/B0B8K1ng/WMNavigation
|
https://paperswithcode.com/paper/wmnav-integrating-vision-language-models-into
|
WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation
|
2503.02247
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/nateanl/wpd-plus-plus
|
https://paperswithcode.com/paper/wpd-an-improved-neural-beamformer-for
|
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation
|
2011.09162
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/kasperyvonne/Automated_Imaging
|
https://paperswithcode.com/paper/wsclean-an-implementation-of-a-fast-generic
|
WSClean: an implementation of a fast, generic wide-field imager for radio astronomy
|
1407.1943
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Team-Transformers-NLP-Capstone-2020sp/Team-Transformers-NLP-Capstone-2020sp.github.io
|
https://paperswithcode.com/paper/wt5-training-text-to-text-models-to-explain
|
WT5?! Training Text-to-Text Models to Explain their Predictions
|
2004.14546
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/plonghi/QU
|
https://paperswithcode.com/paper/wall-crossing-invariants-from-spectral
|
Wall-Crossing Invariants from Spectral Networks
|
1611.00150
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/evorontsova/Resource-allocation-problem
|
https://paperswithcode.com/paper/walrasian-equilibrium-and-centralized
|
Walrasian Equilibrium and Centralized Distributed Optimization from the point of view of Modern Convex Optimization Methods on the Example of Resource Allocation Problem
|
1806.09071
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/TTTTTTris/wandaplus
|
https://paperswithcode.com/paper/wanda-pruning-large-language-models-via-1
|
Wanda++: Pruning Large Language Models via Regional Gradients
|
2503.04992
|
pytorch
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/leiii/VisitationLaw
|
https://paperswithcode.com/paper/wanderlust-3d-impressionism-in-human-journeys
|
Wanderlust: 3D Impressionism in Human Journeys
|
2109.00058
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/oakdata/benchmark
|
https://paperswithcode.com/paper/wanderlust-online-continual-object-detection
|
Wanderlust: Online Continual Object Detection in the Real World
|
2108.11005
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/rafaelsandroni/autolabeling
|
https://paperswithcode.com/paper/want-to-reduce-labeling-cost-gpt-3-can-help
|
Want To Reduce Labeling Cost? GPT-3 Can Help
|
2108.13487
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/c-bata/benchmark-warm-starting-cmaes
|
https://paperswithcode.com/paper/warm-starting-cma-es-for-hyperparameter
|
Warm Starting CMA-ES for Hyperparameter Optimization
|
2012.06932
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/IBM/wasserstein-barycenters
|
https://paperswithcode.com/paper/wasserstein-barycenter-model-ensembling-1
|
Wasserstein Barycenter Model Ensembling
|
1902.04999
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/JiamingLv/WKD
|
https://paperswithcode.com/paper/wasserstein-distance-rivals-kullback-leibler
|
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
|
2412.08139
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Lornatang/WassersteinGAN_DIV-PyTorch
|
https://paperswithcode.com/paper/wasserstein-divergence-for-gans
|
Wasserstein Divergence for GANs
|
1712.01026
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/xiaoshuai09/Wasserstein-Learning-For-Point-Process
|
https://paperswithcode.com/paper/wasserstein-learning-of-deep-generative-point
|
Wasserstein Learning of Deep Generative Point Process Models
|
1705.08051
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/wasserstein-transfer/wasserstein-transfer.github.io
|
https://paperswithcode.com/paper/wasserstein-style-transfer
|
Wasserstein Style Transfer
|
1905.12828
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/hiroyuki-kasai/SSPW-kmeans
|
https://paperswithcode.com/paper/wasserstein-k-means-with-sparse-simplex
|
Wasserstein k-means with sparse simplex projection
|
2011.12542
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/hichamjanati/mtw
|
https://paperswithcode.com/paper/wasserstein-regularization-for-sparse-multi
|
Wasserstein regularization for sparse multi-task regression
|
1805.07833
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/joey711/phyloseq
|
https://paperswithcode.com/paper/waste-not-want-not-why-rarefying-microbiome
|
Waste Not, Want Not: Why Rarefying Microbiome Data is Inadmissible
|
1310.0424
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/chitwansaharia/HACAModel
|
https://paperswithcode.com/paper/watch-listen-and-describe-globally-and
|
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
|
1804.05448
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/egstrom/Dusty
|
https://paperswithcode.com/paper/water-in-star-forming-regions-with-herschel-1
|
Water in star-forming regions with Herschel (WISH): II. Evolution of 557 GHz 110-101 emission in low-mass protostars
|
1204.0009
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/juice500ml/finetune_owsm
|
https://paperswithcode.com/paper/wav2gloss-generating-interlinear-glossed-text
|
Wav2Gloss: Generating Interlinear Glossed Text from Speech
|
2403.13169
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/dkounadis/wav2small
|
https://paperswithcode.com/paper/wav2small-distilling-wav2vec2-to-72k-1
|
Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition
|
2408.13920
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/wavmark/wavmark
|
https://paperswithcode.com/paper/wavmark-watermarking-for-audio-generation
|
WavMark: Watermarking for Audio Generation
|
2308.12770
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/EvanZhuang/wavspa
|
https://paperswithcode.com/paper/waveformer-linear-time-attention-with-forward
|
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
|
2210.01989
|
jax
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/TatsuyaUsuki/SMatrAnEM
|
https://paperswithcode.com/paper/wave-scattering-in-frequency-domain
|
Wave scattering in frequency domain
|
2002.06574
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MindSpore-scientific-2/code-3/tree/main/WaveCRN-master
|
https://paperswithcode.com/paper/wave-vit-unifying-wavelet-and-transformers
|
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
|
2207.04978
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/canessae/genomebits-waves
|
https://paperswithcode.com/paper/wave-like-behaviour-in-01-binary-sequences
|
Wave-like behaviour in (0,1) binary sequences
|
2204.10289
|
none
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/shehzeen/waveguard_defense
|
https://paperswithcode.com/paper/waveguard-understanding-and-mitigating-audio
|
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
|
2103.03344
|
tf
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/ANLGBOY/WaveNODE
|
https://paperswithcode.com/paper/wavenode-a-continuous-normalizing-flow-for
|
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
|
2006.04598
|
pytorch
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/Quantum-Matter-and-Light/waveguideQEDcodes
|
https://paperswithcode.com/paper/waveguide-qed-toolboxes-for-universal-quantum
|
Waveguide QED toolboxes for universal quantum matter
|
1712.02020
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/twoev/NewWave
|
https://paperswithcode.com/paper/wavelet-analysis-event-de-noising-shower
|
Wavelet Analysis: Event De-noising, Shower Evolution and Jet Substructure Without Jets
|
1405.5008
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/shinfj/WaveletCNN_for_TextureClassification
|
https://paperswithcode.com/paper/wavelet-convolutional-neural-networks-for
|
Wavelet Convolutional Neural Networks for Texture Classification
|
1707.07394
|
caffe2
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/jongcye/deeplearningLDCT
|
https://paperswithcode.com/paper/wavelet-domain-residual-network-wavresnet-for
|
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction
|
1703.01383
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/andreasfloros/cascaded-wavelet-diffusion
|
https://paperswithcode.com/paper/wavelet-score-based-generative-modeling
|
Wavelet Score-Based Generative Modeling
|
2208.05003
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/laulampaul/WDNet_demoire
|
https://paperswithcode.com/paper/wavelet-based-dual-branch-network-for-image
|
Wavelet-Based Dual-Branch Network for Image Demoireing
|
2007.07173
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/aweinstein/PySGWT
|
https://paperswithcode.com/paper/wavelets-on-graphs-via-spectral-graph-theory
|
Wavelets on Graphs via Spectral Graph Theory
|
0912.3848
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/waymo-research/waymax
|
https://paperswithcode.com/paper/waymax-an-accelerated-data-driven-simulator
|
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
|
2310.08710
|
jax
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/eagleadelaide/sdc-loss
|
https://paperswithcode.com/paper/we-care-each-pixel-calibrating-on-medical
|
We Care Each Pixel: Calibrating on Medical Segmentation Model
|
2503.05107
|
none
|
❌ Unofficial
|
📝 In Paper
|
https://github.com/alexandonian/relational-set-abstraction
|
https://paperswithcode.com/paper/we-have-so-much-in-common-modeling-semantic
|
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
|
2008.05596
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Spracks/PackageHallucination
|
https://paperswithcode.com/paper/we-have-a-package-for-you-a-comprehensive
|
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
|
2406.10279
|
none
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/EscVM/OIDv4_ToolKit
|
https://paperswithcode.com/paper/we-dont-need-no-bounding-boxes-training
|
We don't need no bounding-boxes: Training object class detectors using only human verification
|
1602.08405
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/nightdessert/WeCheck/blob/main/README.md
|
https://paperswithcode.com/paper/wecheck-strong-factual-consistency-checker
|
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
|
2212.10057
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/leonwlw/wenet
|
https://paperswithcode.com/paper/wenet-2-0-more-productive-end-to-end-speech
|
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
|
2203.15455
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MindSpore-paper-code-2/code3/tree/main/swenet
|
https://paperswithcode.com/paper/wenet-production-first-and-production-ready
|
WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkit
|
2102.01547
|
mindspore
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/arunkannawadi/deimos
|
https://paperswithcode.com/paper/weak-gravitational-lensing-with-deimos
|
Weak gravitational lensing with DEIMOS
|
1008.1076
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ziyangwang007/weak-mamba-unet
|
https://paperswithcode.com/paper/weak-mamba-unet-visual-mamba-makes-cnn-and
|
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
|
2402.10887
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/mtewes/tenbilac
|
https://paperswithcode.com/paper/weak-lensing-shear-measurement-with-machine
|
Weak-lensing shear measurement with machine learning: teaching artificial neural networks about feature noise
|
1807.02120
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/maxhaslbeck/verERT
|
https://paperswithcode.com/paper/weakest-precondition-reasoning-for-expected
|
Weakest Precondition Reasoning for Expected Run-Times of Probabilistic Programs
|
1601.01001
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/howard-hou/UniqueClassCount
|
https://paperswithcode.com/paper/a-weakly-supervised-learning-based-clustering
|
Weakly Supervised Clustering by Exploiting Unique Class Count
|
1906.07647
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map
|
https://paperswithcode.com/paper/weakly-supervised-deep-functional-map-for
|
Weakly Supervised Deep Functional Map for Shape Matching
|
2009.13339
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/Vijetha1/WDHT
|
https://paperswithcode.com/paper/weakly-supervised-deep-image-hashing-through
|
Weakly Supervised Deep Image Hashing through Tag Embeddings
|
1806.05804
|
tf
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/JunLi-Galios/CDFL
|
https://paperswithcode.com/paper/weakly-supervised-energy-based-learning-for
|
Weakly Supervised Energy-Based Learning for Action Segmentation
|
1909.13155
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/segis95/BRATS_Segmentation
|
https://paperswithcode.com/paper/weakly-supervised-fine-tuning-approach-for
|
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
|
1911.01738
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/ZhouYanzhao/PRM
|
https://paperswithcode.com/paper/weakly-supervised-instance-segmentation-using-1
|
Weakly Supervised Instance Segmentation using Class Peak Response
|
1804.00880
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/MatthewHowe/WIBAM
|
https://paperswithcode.com/paper/weakly-supervised-training-of-monocular-3d
|
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
|
2110.10966
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/wanboyang/Anomaly_AR_Net_ICME_2020
|
https://paperswithcode.com/paper/weakly-supervised-video-anomaly-detection-via
|
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
|
2104.07268
|
pytorch
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/HuifangZJU/road_affordances
|
https://paperswithcode.com/paper/weakly-supervised-road-affordances-inference
|
Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs
|
1911.12007
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://github.com/rulixiang/vwe/tree/master/v2
|
https://paperswithcode.com/paper/weakly-supervised-semantic-segmentation-with-1
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling
|
2202.04812
|
pytorch
|
❌ Unofficial
|
❓ No Mention
|
https://github.com/kevinlisun/romans_stack
|
https://paperswithcode.com/paper/weakly-supervised-dcnn-for-rgb-d-object
|
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data
|
1703.06370
|
none
|
❌ Unofficial
|
🐙 On GitHub
|
https://zenodo.org/record/7888569
|
https://paperswithcode.com/paper/weather-sensitive-high-spatio-temporal
|
Weather Sensitive High Spatio-Temporal Resolution Transportation Electric Load Profiles For Multiple Decarbonization Pathways
|
2307.15237
|
none
|
❌ Unofficial
|
❓ No Mention
|
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.