sampling method

Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023 Fast Algorithms for Distributed k-Clustering with Outliers ICML 2023 Fast Sampling of Diffusion Models with Exponential Integrator ICLR 2023 Formulating Discrete Probability Flow Through Optimal Transport NeurIPS 2023 Gaussian Mixture Solvers for Diffusion Models NeurIPS 2023 infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Long Horizon Temperature Scaling ICML 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023 Near Optimal Reconstruction of Spherical Harmonic Expansions NeurIPS 2023 Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion IJCAI 2023 Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation EMNLP 2023 PixelAsParam: A Gradient View on Diffusion Sampling with Guidance ICML 2023 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NeurIPS 2023 Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction CVPR 2023 What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023 A Functional Information Perspective on Model Interpretation ICML 2022 A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022 CHAAI@SMM4H’22: RoBERTa, GPT-2 and Sampling - An interesting concoction COLING 2022 Local-Global MCMC kernels: the best of both worlds NeurIPS 2022 Probing BERT’s priors with serial reproduction chains ACL 2022 Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation EMNLP 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022