conftrace_

gaussian mixture model

389 papers

Explore in graph

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

GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering SEMEVAL 2020
Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020
On the Analysis of EM for truncated mixtures of two Gaussians ALT 2020
Shared Generative Latent Representation Learning for Multi-View Clustering AAAI 2020
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss CVPR 2020
Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020
Detecting Media Bias in News Articles using Gaussian Bias Distributions EMNLP 2020
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning CVPR 2020
Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions INTERSPEECH 2020
PointGMM: A Neural GMM Network for Point Clouds CVPR 2020
Learning Numeral Embedding EMNLP 2020
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension COLING 2020
Semi-Supervised Learning with Normalizing Flows ICML 2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020
Siamese Convolutional Neural Network Using Gaussian Probability Feature for Spoofing Speech Detection INTERSPEECH 2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures ICML 2020
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020
Quantum Expectation-Maximization for Gaussian mixture models ICML 2020
UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis COLING 2020
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts COLING 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians COLT 2020
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures RSS 2020
Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020
Deep Transformation-Invariant Clustering NIPS 2020