entropy estimation

IF-Prune: Information-Flow Guided Token Pruning for Efficient Vision-Language Models CVPR 2026 Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions AAAI 2026 Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity ACL 2025 CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025 Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025 LITE: Efficiently Estimating Gaussian Probability of Maximality AISTATS 2025 LLM-Generated Passphrases That Are Secure and Easy to Remember NAACL 2025 MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025 On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025 Diffusion Actor-Critic with Entropy Regulator NeurIPS 2024 ECSIC: Epipolar Cross Attention for Stereo Image Compression WACV 2024 REMEDI: Corrective Transformations for Improved Neural Entropy Estimation ICML 2024 Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023 Learned Image Compression With Mixed Transformer-CNN Architectures CVPR 2023 Raw Image Reconstruction With Learned Compact Metadata CVPR 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Entropy Estimation via Normalizing Flow AAAI 2022 Estimating the Entropy of Linguistic Distributions ACL 2022 Estimation of Entropy in Constant Space with Improved Sample Complexity NeurIPS 2022 Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022 Learning From the CNN-Based Compressed Domain WACV 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Dimension-free empirical entropy estimation NeurIPS 2021 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020