entropy regularization

CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning ACL 2026 Edges Compete for Trust: Group Relative Edge Optimization for Building Reconstruction from Point Clouds CVPR 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 EVIA: Entropic Variational Inference Auto-encoding UAI 2026 Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026 Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization AAAI 2026 ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting EACL 2026 SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026 Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting ACL 2026 Tight rates of approximation of mixed Nash equilibria by entropy regularization in continuous games UAI 2026 Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood ACL 2026 Actor-Critic learning for mean-field control in continuous time JMLR 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning ICML 2025 Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization ICML 2025 Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment ICCV 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Mispronunciation Detection Without L2 Pronunciation Dataset in Low-Resource Setting: A Case Study in Finland Swedish Interspeech 2025 Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization ICML 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm COLT 2025 Preserving Diversity in Supervised Fine-Tuning of Large Language Models ICLR 2025 Reward-Directed Score-Based Diffusion Models via q-Learning JMLR 2025 Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport AISTATS 2025