conftrace_

gaussian mixture model

389 papers

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Also known as

GMM

Co-occurring keywords

speaker verification (577) variational inference (2069) expectation maximization (255) hidden markov model (302) deep neural network (1803) semi-supervised learning (2341) variational autoencoder (1288) representation learning (6206) generative model (2892) speaker recognition (346)

Papers

Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection CVPR 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification AAAI 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024
Diffusion Actor-Critic with Entropy Regulator NIPS 2024
Learning to Predict Activity Progress by Self-Supervised Video Alignment CVPR 2024
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval AAAI 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Diffusion Gaussian Mixture Audio Denoise INTERSPEECH 2024
Implicit Neural Representation for Change Detection WACV 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology CVPR 2024
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NIPS 2024
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures CVPR 2023
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint CVPR 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Personalized Federated Learning under Mixture of Distributions ICML 2023
Dimensionality Reduction for General KDE Mode Finding ICML 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023
Input uncertainty propagation through trained neural networks ICML 2023
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection CVPR 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023