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Papers
Personalized Federated Learning under Mixture of Distributions
ICML 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
ICML 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
EMNLP 2023
Rethinking Initialization of the Sinkhorn Algorithm
AISTATS 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
ICCV 2023
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
CVPR 2023
SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians
COLT 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
CoRL 2023
Towards Robust FastSpeech 2 by Modelling Residual Multimodality
Interspeech 2023
Toward Understanding Generative Data Augmentation
NeurIPS 2023
Twin Contrastive Learning With Noisy Labels
CVPR 2023
Unbiased Scene Graph Generation in Videos
CVPR 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
ICML 2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
CVPR 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
NeurIPS 2023
Whistle-to-text: Automatic recognition of the Silbo Gomero whistled language
Interspeech 2023
Active Learning for Open-Set Annotation
CVPR 2022
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Cauchy–Schwarz Regularized Autoencoder
JMLR 2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution
AISTATS 2022
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
CVPR 2022
Deep Unsupervised Hashing with Latent Semantic Components
AAAI 2022
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory
EMNLP 2022
Few-Shot Continual Active Learning by a Robot
NeurIPS 2022