{"total":24,"rows":[{"id":"2107.04589","title":"ViTGAN: Training GANs with Vision Transformers","created":"2021-07-09","cited_by_count":110,"area":null},{"id":"2111.01118","title":"Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training","created":"2021-11-01","cited_by_count":57,"area":null},{"id":"2206.09479","title":"StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis","created":"2022-06-19","cited_by_count":38,"area":null},{"id":"2302.10886","title":"Some Fundamental Aspects about Lipschitz Continuity of Neural Networks","created":"2023-02-21","cited_by_count":26,"area":null},{"id":"2106.05566","title":"A Neural Tangent Kernel Perspective of GANs","created":"2021-06-10","cited_by_count":21,"area":null},{"id":"2104.09630","title":"Quaternion Generative Adversarial Networks","created":"2021-04-19","cited_by_count":17,"area":null},{"id":"2103.00673","title":"Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training","created":"2021-03-01","cited_by_count":15,"area":null},{"id":"2305.13599","title":"Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint","created":"2023-05-23","cited_by_count":14,"area":null},{"id":"2106.08601","title":"Self-Supervised GANs with Label Augmentation","created":"2021-06-16","cited_by_count":9,"area":null},{"id":"2102.13416","title":"Moreau-Yosida $f$-divergences","created":"2021-02-26","cited_by_count":5,"area":null},{"id":"2110.11795","title":"HDRVideo-GAN: Deep Generative HDR Video Reconstruction","created":"2021-10-22","cited_by_count":3,"area":null},{"id":"2201.02824","title":"Optimal 1-Wasserstein Distance for WGANs","created":"2022-01-08","cited_by_count":3,"area":null},{"id":"2207.10541","title":"Unveiling the Latent Space Geometry of Push-Forward Generative Models","created":"2022-07-21","cited_by_count":3,"area":null},{"id":"2307.08663","title":"Quaternion Convolutional Neural Networks: Current Advances and Future Directions","created":"2023-07-17","cited_by_count":3,"area":null},{"id":"2403.15312","title":"A Wasserstein perspective of Vanilla GANs","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2104.02388","title":"Generalization of GANs and overparameterized models under Lipschitz continuity","created":"2021-04-06","cited_by_count":2,"area":null},{"id":"2311.05866","title":"Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes","created":"2023-11-10","cited_by_count":2,"area":null},{"id":"2509.23373","title":"Graph Your Own Prompt","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2111.03162","title":"GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks","created":"2021-11-04","cited_by_count":1,"area":null},{"id":"2512.20749","title":"Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2105.12939","title":"Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint","created":"2021-05-27","cited_by_count":0,"area":null},{"id":"2306.13576","title":"Penalty Gradient Normalization for Generative Adversarial Networks","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2306.13641","title":"A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2410.20780","title":"Scaling-based Data Augmentation for Generative Models and its Theoretical Extension","created":"2024-10-28","cited_by_count":0,"area":null}],"next_cursor":null}