{"total":73,"rows":[{"id":"2312.02696","title":"Analyzing and Improving the Training Dynamics of Diffusion Models","created":"2023-12-05","cited_by_count":402,"area":"diffusion"},{"id":"2308.05732","title":"PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers","created":"2023-08-10","cited_by_count":216,"area":"diffusion"},{"id":"2102.03657","title":"Neural SDEs as Infinite-Dimensional GANs","created":"2021-02-06","cited_by_count":161,"area":null},{"id":"2101.04775","title":"Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis","created":"2021-01-12","cited_by_count":140,"area":null},{"id":"2204.07258","title":"Causal Transformer for Estimating Counterfactual Outcomes","created":"2022-04-14","cited_by_count":123,"area":null},{"id":"2210.09929","title":"Differentially Private Diffusion Models","created":"2022-10-18","cited_by_count":119,"area":"diffusion"},{"id":"2206.12055","title":"SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation","created":"2022-06-24","cited_by_count":92,"area":null},{"id":"2105.13493","title":"Efficient and Accurate Gradients for Neural SDEs","created":"2021-05-27","cited_by_count":71,"area":null},{"id":"2411.18704","title":"Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits","created":"2024-11-27","cited_by_count":71,"area":null},{"id":"2107.08037","title":"CCVS: Context-aware Controllable Video Synthesis","created":"2021-07-16","cited_by_count":69,"area":null},{"id":"2106.07153","title":"Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods","created":"2021-06-14","cited_by_count":59,"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":"2103.17269","title":"CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields","created":"2021-03-31","cited_by_count":55,"area":null},{"id":"2103.15814","title":"High-Fidelity and Arbitrary Face Editing","created":"2021-03-29","cited_by_count":35,"area":null},{"id":"2212.07339","title":"Mitigating Artifacts in Real-World Video Super-Resolution Models","created":"2022-12-14","cited_by_count":29,"area":null},{"id":"2111.05326","title":"The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning","created":"2021-11-09","cited_by_count":23,"area":null},{"id":"2304.03094","title":"PopulAtion Parameter Averaging (PAPA)","created":"2023-04-06","cited_by_count":23,"area":null},{"id":"2405.18199","title":"Adam with model exponential moving average is effective for nonconvex optimization","created":"2024-05-28","cited_by_count":23,"area":null},{"id":"2308.09889","title":"DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization","created":"2023-08-19","cited_by_count":20,"area":"diffusion"},{"id":"2506.07254","title":"A Stable Whitening Optimizer for Efficient Neural Network Training","created":"2025-06-08","cited_by_count":18,"area":null},{"id":"2109.08248","title":"Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression","created":"2021-09-16","cited_by_count":15,"area":null},{"id":"2201.02193","title":"Realistic Full-Body Anonymization with Surface-Guided GANs","created":"2022-01-06","cited_by_count":15,"area":null},{"id":"2305.12511","title":"PCF-GAN: generating sequential data via the characteristic function of measures on the path space","created":"2023-05-21","cited_by_count":15,"area":null},{"id":"2301.12811","title":"SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer","created":"2023-01-30","cited_by_count":14,"area":null},{"id":"2303.13779","title":"Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR","created":"2023-03-24","cited_by_count":14,"area":null},{"id":"2310.11428","title":"Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression","created":"2023-10-17","cited_by_count":14,"area":null},{"id":"2511.22475","title":"Adversarial Flow Models","created":"2025-11-27","cited_by_count":12,"area":null},{"id":"2103.03405","title":"Learning in Matrix Games can be Arbitrarily Complex","created":"2021-03-05","cited_by_count":11,"area":null},{"id":"2108.02874","title":"Disentangled Lifespan Face Synthesis","created":"2021-08-05","cited_by_count":11,"area":null},{"id":"2201.09650","title":"What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction","created":"2022-01-24","cited_by_count":11,"area":null},{"id":"2102.07974","title":"Follow-the-Regularized-Leader Routes to Chaos in Routing Games","created":"2021-02-16","cited_by_count":10,"area":null},{"id":"2104.01449","title":"MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks","created":"2021-04-03","cited_by_count":10,"area":null},{"id":"2206.02041","title":"First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces","created":"2022-06-04","cited_by_count":10,"area":null},{"id":"2309.05803","title":"Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models","created":"2023-09-11","cited_by_count":10,"area":"diffusion"},{"id":"2602.03702","title":"Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging","created":"2026-02-03","cited_by_count":10,"area":null},{"id":"2301.01211","title":"Generative appearance replay for continual unsupervised domain adaptation","created":"2023-01-03","cited_by_count":8,"area":null},{"id":"2302.14670","title":"Balanced Training for Sparse GANs","created":"2023-02-28","cited_by_count":8,"area":null},{"id":"2303.14706","title":"BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes","created":"2023-03-26","cited_by_count":8,"area":null},{"id":"2502.06761","title":"When, Where and Why to Average Weights?","created":"2025-02-10","cited_by_count":8,"area":null},{"id":"2102.07314","title":"The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods","created":"2021-02-15","cited_by_count":7,"area":null},{"id":"2203.02770","title":"Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance","created":"2022-03-05","cited_by_count":7,"area":null},{"id":"2211.14694","title":"DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data","created":"2022-11-27","cited_by_count":7,"area":null},{"id":"2406.00535","title":"Causal Contrastive Learning for Counterfactual Regression Over Time","created":"2024-06-01","cited_by_count":7,"area":null},{"id":"2210.01887","title":"Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures","created":"2022-10-04","cited_by_count":6,"area":null},{"id":"2210.11096","title":"Robust One-Shot Singing Voice Conversion","created":"2022-10-20","cited_by_count":6,"area":null},{"id":"2302.01287","title":"Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains","created":"2023-02-02","cited_by_count":6,"area":null},{"id":"2208.14635","title":"Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks","created":"2022-08-31","cited_by_count":5,"area":null},{"id":"2401.09671","title":"Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach","created":"2024-01-18","cited_by_count":5,"area":null},{"id":"2307.06182","title":"CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification","created":"2023-07-12","cited_by_count":4,"area":null},{"id":"2501.15610","title":"Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction","created":"2025-01-26","cited_by_count":4,"area":null},{"id":"2106.05350","title":"Generative Feature-driven Image Replay for Continual Learning","created":"2021-06-09","cited_by_count":3,"area":null},{"id":"2104.00100","title":"MR Slice Profile Estimation by Learning to Match Internal Patch Distributions","created":"2021-03-31","cited_by_count":2,"area":null},{"id":"2105.14693","title":"Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner","created":"2021-05-31","cited_by_count":2,"area":null},{"id":"2112.10384","title":"Multimodal Adversarially Learned Inference with Factorized Discriminators","created":"2021-12-20","cited_by_count":2,"area":null},{"id":"2302.00908","title":"GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis","created":"2023-02-02","cited_by_count":2,"area":null},{"id":"2304.03164","title":"Synthesizing Anyone, Anywhere, in Any Pose","created":"2023-04-06","cited_by_count":2,"area":null},{"id":"2109.05614","title":"MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network","created":"2021-09-12","cited_by_count":1,"area":null},{"id":"2111.01035","title":"A Unified View of cGANs with and without Classifiers","created":"2021-11-01","cited_by_count":1,"area":null},{"id":"2203.16662","title":"Overcoming challenges in leveraging GANs for few-shot data augmentation","created":"2022-03-30","cited_by_count":1,"area":null},{"id":"2302.13838","title":"Cross-modal Face- and Voice-style Transfer","created":"2023-02-27","cited_by_count":1,"area":null},{"id":"2303.12704","title":"AptSim2Real: Approximately-Paired Sim-to-Real Image Translation","created":"2023-03-09","cited_by_count":1,"area":null},{"id":"2502.14123","title":"Understanding SGD with Exponential Moving Average: A Case Study in Linear Regression","created":"2025-02-19","cited_by_count":1,"area":"diffusion"},{"id":"2603.13872","title":"On Interpolation Formulas Describing Neural Network Generalization","created":"2026-03-14","cited_by_count":1,"area":null},{"id":"2607.02291","title":"Optimizing Visual Generative Models via Distribution-wise Rewards","created":"2026-07-02","cited_by_count":1,"area":"alignment"},{"id":"2109.03820","title":"Tom: Leveraging trend of the observed gradients for faster convergence","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2109.03974","title":"Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics","created":"2021-09-08","cited_by_count":0,"area":null},{"id":"2110.02457","title":"GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration","created":"2021-10-06","cited_by_count":0,"area":null},{"id":"2310.13854","title":"Exponential weight averaging as damped harmonic motion","created":"2023-10-20","cited_by_count":0,"area":null},{"id":"2504.00603","title":"Data Cleansing for GANs","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2605.08577","title":"Improving Generative Adversarial Networks with Self-Distillation","created":"2026-05-09","cited_by_count":0,"area":"distill"},{"id":"2608.22003","title":"Close Shortcut Wins Long: Seeking Diverse and Stable Generators for Data-Free Knowledge Distillation","created":"2026-08-22","cited_by_count":0,"area":"distill"},{"id":"2608.22272","title":"GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets","created":"2026-08-23","cited_by_count":0,"area":"diffusion"},{"id":"2608.30323","title":"Generative multi-domain transfer learning for fault detection in data-scarce wind turbines","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}