sample diversity

Distilling Diversity and Control in Diffusion Models WACV 2026 Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 Diversity-aware Channel Pruning for StyleGAN Compression CVPR 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024 Self-Regulated Sample Diversity in Large Language Models NAACL 2024 The Inter-batch Diversity of Samples in Experience Replay for Continual Learning AAAI 2024 FastDiff 2: Revisiting and Incorporating GANs and Diffusion Models in High-Fidelity Speech Synthesis ACL 2023 Increasing the Diversity of Deep Generative Models AAAI 2022 Rainbow Memory: Continual Learning With a Memory of Diverse Samples CVPR 2021 Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NeurIPS 2021 microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination WACV 2020 Stein Self-Repulsive Dynamics: Benefits From Past Samples NeurIPS 2020 A Convex Optimization Framework for Active Learning ICCV 2013