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

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery ICCV 2023
Overlap-Guided Gaussian Mixture Models for Point Cloud Registration WACV 2023
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures CVPR 2023
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint CVPR 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis ICCV 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NIPS 2023
Can semi-supervised learning use all the data effectively? A lower bound perspective NIPS 2023
Input uncertainty propagation through trained neural networks ICML 2023
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes NIPS 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023
DiffPose: Toward More Reliable 3D Pose Estimation CVPR 2023
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection NIPS 2023
Unbiased Scene Graph Generation in Videos CVPR 2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration CVPR 2023
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection CVPR 2023
Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023
Toward Understanding Generative Data Augmentation NIPS 2023
Learning Mixtures of Gaussians with Censored Data ICML 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity IJCAI 2023
Group GMM-ResNet for Detection of Synthetic Speech Attacks INTERSPEECH 2023
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
Continuously Parameterized Mixture Models ICML 2023