mlsanityData to 7 Oct 2026

Wasserstein GAN

arXiv 1701.07875 ↗First posted 26 Jan 2017stat.ML cs.LGcited by 635

Not on the map. Why?

Cited by 38 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce a new algorithm named WGAN, an alternative to traditional GAN training. In this new model, we show that we can improve the stability of learning, get rid of problems like mode collapse, and provide meaningful learning curves useful for debugging and hyperparameter searches. Furthermore, we show that the corresponding optimization problem is sound, and provide extensive theoretical work highlighting the deep connections to other distances between distributions.

Key facts. Cited by 635 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2018: 4; 2019: 6; 2020: 8; 2021: 238; 2022: 131; 2023: 92; 2024: 61; 2025: 64; 2026: 31.

635 papers.

Sort:

By area:

  1. 2020Denoising Diffusion Implicit Modelscited by 9,655
  2. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  3. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  4. 2021Robust Compressed Sensing MRI with Deep Generative Priorscited by 284
  5. 2021Graph Neural Network for Traffic Forecasting: A Surveycited by 260
  6. 2022Self-Supervised Speech Representation Learning: A Reviewcited by 258
  7. 2021A Survey on Deep Semi-supervised Learningcited by 250
  8. 2023Class-Incremental Learning: A Surveycited by 209
  9. 2018Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learningcited by 203
  10. 2021How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Modelscited by 193
  11. 2022Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Qualitycited by 181
  12. 2021TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Upcited by 162
38 more
  1. 2022A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learningcited by 152
  2. 2021Unsupervised Speech Recognitioncited by 147
  3. 2023SE(3)-Stochastic Flow Matching for Protein Backbone Generationcited by 147
  4. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  5. 2021SynFace: Face Recognition with Synthetic Datacited by 106
  6. 2021Regularizing Generative Adversarial Networks under Limited Datacited by 105
  7. 2021An Introduction to Deep Generative Modelingcited by 104
  8. 2021D2C: Diffusion-Denoising Models for Few-shot Conditional Generationcited by 96
  9. 2021Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmarkcited by 95
  10. 2021Contrastive Embedding for Generalized Zero-Shot Learningcited by 94
  11. 2021Entropic estimation of optimal transport mapscited by 87
  12. 2019Provably Efficient Imitation Learning from Observation Alonecited by 78
  13. 2022ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generationcited by 77
  14. 2019State Alignment-based Imitation Learningcited by 73
  15. 2021Off-Policy Imitation Learning from Observationscited by 70
  16. 2020f-IRL: Inverse Reinforcement Learning via State Marginal Matchingcited by 67
  17. 2023How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defensescited by 65
  18. 2022A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecastscited by 64
  19. 2021Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regressioncited by 58
  20. 2021Rebooting ACGAN: Auxiliary Classifier GANs with Stable Trainingcited by 57
  21. 2022Generative Multiplane Images: Making a 2D GAN 3D-Awarecited by 57
  22. 2023Zero-shot Object Countingcited by 57
  23. 2021In&Out : Diverse Image Outpainting via GAN Inversioncited by 55
  24. 2021Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advancescited by 54
  25. 2021Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergencecited by 54
  26. 2021Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysiscited by 52
  27. 2022Score-based Generative Models for Calorimeter Shower Simulationcited by 52
  28. 2023Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligencecited by 52
  29. 2022MVSTER: Epipolar Transformer for Efficient Multi-View Stereocited by 50
  30. 2021StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGANcited by 47
  31. 2021CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flowscited by 46
  32. 2022Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detectioncited by 46
  33. 2021OntoZSL: Ontology-enhanced Zero-shot Learningcited by 45
  34. 2021Particle Cloud Generation with Message Passing Generative Adversarial Networkscited by 45
  35. 2023Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizationscited by 45
  36. 2019Imitation Learning for Human Pose Predictioncited by 44
  37. 2021OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversioncited by 44
  38. 2023Implicit Temporal Modeling with Learnable Alignment for Video Recognitioncited by 44

50 most cited of 635 All 635 (JSON)