mode collapse

DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO CVPR 2026 GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving CVPR 2026 It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models CVPR 2026 Language Generation with Infinite Contamination COLT 2026 Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026 Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss JMLR 2026 SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning ACL 2026 Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data ACL 2026 Diverse Rare Sample Generation with Pretrained GANs AAAI 2025 End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler ICLR 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 Generative Adversarial Diffusion ICCV 2025 Geometry-Informed Neural Networks ICML 2025 Group-Aware Reinforcement Learning for Output Diversity in Large Language Models EMNLP 2025 Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models ICLR 2025 Repulsive Latent Score Distillation for Solving Inverse Problems ICLR 2025 Temperature-Annealed Boltzmann Generators ICML 2025 Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques Interspeech 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling ICML 2024 Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations ICML 2024 Detecting Mode Collapse in Language Models via Narration EACL 2024 Metric Space Magnitude for Evaluating the Diversity of Latent Representations NeurIPS 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 On Convergence in Wasserstein Distance and f-divergence Minimization Problems AISTATS 2024 Taming Mode Collapse in Score Distillation for Text-to-3D Generation CVPR 2024