Junwen Bai
10 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(21)
π
Conference Polyglot
(6)
π
Grand Slam
π
Keyword Champion
π
Century Club
(10)
π₯
Unstoppable
(6)
Conferences
AAAI (2)
ICML (2)
IJCAI (2)
NIPS (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
label correlation
(3)
multi-label classification
(3)
variational autoencoder
(3)
multivariate probit model
(2)
representation learning
(2)
knowledge transfer
(1)
attention mechanism
(1)
contrastive learning
(1)
out-of-domain detection
(1)
temporal information
(1)
conditional computation
(1)
deep learning
(1)
parameter-efficient transfer learning
(1)
gaussian mixture model
(1)
uncertainty quantification
(1)
stochastic weight averaging
(1)
latent space
(1)
recurrent neural network
(1)
sparse activation
(1)
weakly supervised learning
(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
NIPS 2023
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
AAAI 2022
Contrastively Disentangled Sequential Variational Autoencoder
NIPS 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
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
IJCAI 2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
IJCAI 2020
SWALP : Stochastic Weight Averaging in Low Precision Training
ICML 2019