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kullback-leibler divergence

181 papers

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Also known as

KL KL-DIVERGENCE KLD KL DIVERGENCE

Co-occurring keywords

variational inference (2069) kl divergence (196) generative model (2892) bayesian inference (1907) posterior distribution (259) probabilistic modeling (852) neural network (6616) knowledge distillation (3725) mutual information (724) variational autoencoder (1288)

Papers

Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning ACL 2026
Modeling Linguistic Imprints of War Propaganda in a Russian Wikipedia Fork: A Comparative Analysis with the Original Wikipedia EACL 2026
Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching AAAI 2026
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026
Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning AAAI 2026
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ACL 2025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025
On the Natural Gradient of the Evidence Lower Bound JMLR 2025
An Encoder-Agnostic Weakly Supervised Method for Describing Textures WACV 2025
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025
Mapping 1,000+ Language Models via the Log-Likelihood Vector ACL 2025
Decomposed Distribution Matching in Dataset Condensation WACV 2025
Information Theory and Linguistic Variation: A Study of Brazilian and European Portuguese COLING 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Adaptive Compression in Federated Learning via Side Information AISTATS 2024
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024
DE-Lite - a New Corpus of Easy German: Compilation, Exploration, Analysis EACL 2024
Better-than-KL PAC-Bayes Bounds COLT 2024
Generalized Variational Inference via Optimal Transport AAAI 2024