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kl divergence

195 papers

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KL

Co-occurring keywords

variational inference (2069) bayesian inference (1904) kullback-leibler divergence (179) language model (4573) variational autoencoder (1282) knowledge distillation (3680) large language model (12755) reinforcement learning (4122) markov chain monte carlo (724) mutual information (717)

Papers

Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NIPS 2024
Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024
Universal Sample Coding NIPS 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NIPS 2024
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models EMNLP 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Boosting Vision-Language Models with Transduction NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023
Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion INTERSPEECH 2023
Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023
Data Selection for Language Models via Importance Resampling NIPS 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023
Beta Diffusion NIPS 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023
Variational Inference for Neyman-Scott Processes AISTATS 2023
A Coupled Flow Approach to Imitation Learning ICML 2023
Entropy Regularization for Population Estimation AAAI 2023
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding ACL 2023