Junwen Bai
10 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(8)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Models
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Domain-Specific
(1)
Keywords
variational autoencoder
(3)
multi-label classification
(3)
label correlation
(3)
contrastive learning
(2)
latent space
(2)
representation learning
(2)
mutual information
(2)
multivariate probit model
(2)
attention mechanism
(1)
out-of-domain detection
(1)
self-supervised learning
(1)
conditional computation
(1)
deep learning
(1)
parameter-efficient transfer learning
(1)
temporal information
(1)
uncertainty quantification
(1)
recurrent neural network
(1)
weakly supervised learning
(1)
gaussian mixture model
(1)
knowledge transfer
(1)
Papers
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
ACL 2024
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NeurIPS 2023
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
AAAI 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
Contrastively Disentangled Sequential Variational Autoencoder
NeurIPS 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
ICLR 2021
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
IJCAI 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
IJCAI 2020
SWALP : Stochastic Weight Averaging in Low Precision Training
ICML 2019