Yingzhen Li
35 papers · 2015–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yingzhen Li?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ehsan Shareghi, Victor Prokhorov, Nigel Collier
4 papers
· 2019–2021
· EACL, ACL, NAACL
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Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
EACL 2021
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
ACL 2021
Bayesian Learning for Neural Dependency Parsing
NAACL 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
EMNLP 2019
6 papers whose co-authors appear nowhere else under this name
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
Robust and Adaptive Deep Learning via Bayesian Principles
AAAI 2023
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Scalable Infomin Learning
NeurIPS 2022
Are Generative Classifiers More Robust to Adversarial Attacks?
ICML 2019
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
ICML 2017