sample quality

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 Provable Efficiency of Guidance in Diffusion Models for General Data Distribution ICML 2025 Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment ICML 2025 Consistency-GAN: Training GANs with Consistency Model AAAI 2024 Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SemEval 2024 Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree ICML 2024 Sample as you Infer: Predictive Coding with Langevin Dynamics ICML 2024 Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023 Long Horizon Temperature Scaling ICML 2023 Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL 2023 Latent Reweighting, an Almost Free Improvement for GANs WACV 2022 Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality ICLR 2022 Tackling the Generative Learning Trilemma with Denoising Diffusion GANs ICLR 2022 Improved Autoregressive Modeling with Distribution Smoothing ICLR 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NeurIPS 2021 Instance Selection for GANs NeurIPS 2020 Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019 RelGAN: Relational Generative Adversarial Networks for Text Generation ICLR 2019 MaskGAN: Better Text Generation via Filling in the _______ ICLR 2018 Measuring Sample Quality with Kernels ICML 2017 Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking CVPR 2016 Measuring Sample Quality with Stein's Method NeurIPS 2015