Co-occurring keywords · papers mentioning both
grayscale label
(1)
inverse network
(1)
mixture variational distributions
(1)
linear supervised learning
(1)
total variation regularization
(1)
embedding representation
(1)
multiple importance sampling
(1)
emotion recognition in conversation
(1)
out-of-scope detection
(1)
open-world classification
(1)
Papers
Efficient Mixture Learning in Black-Box Variational Inference
ICML 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios
COLING 2024
The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
Interspeech 2022
Binarsity: a penalization for one-hot encoded features in linear supervised learning
JMLR 2019
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
AAAI 2019