Bai Li
14 papers · 2019–2022 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (34) π Conference Polyglot (9) π Renaissance Researcher (8) π§ Keyword Pioneer
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Conference Polyglot
(9)
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Keyword Champion
β‘
Prolific Year
(5)
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Century Club
(14)
ποΈ
Keyword Collector
(64)
β
The Questioner
(2)
Conferences
ACL (4)
NAACL (3)
AAAI (1)
AISTATS (1)
CVPR (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
language model
(3)
adversarial example
(2)
anomaly detection
(2)
gaussian process
(2)
representation learning
(2)
density estimation
(2)
transformer model
(2)
transformer language model
(2)
domain adaptation
(1)
posterior sampling
(1)
transfer learning
(1)
deep learning
(1)
eye tracking
(1)
markov chain monte carlo
(1)
bert model
(1)
parallel corpus
(1)
adversarial robustness
(1)
additive noise
(1)
statistical power
(1)
alzheimer disease
(1)
Papers
On the data requirements of probing
ACL 2022
Neural reality of argument structure constructions
ACL 2022
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
NAACL 2021
How is BERT surprised? Layerwise detection of linguistic anomalies
IJCNLP 2021
How is BERT surprised? Layerwise detection of linguistic anomalies
ACL 2021
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
CVPR 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
Representation Learning for Discovering Phonemic Tone Contours
ACL 2020
Word class flexibility: A deep contextualized approach
EMNLP 2020
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Certified Adversarial Robustness with Additive Noise
NIPS 2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
NAACL 2019
Multilingual prediction of Alzheimerβs disease through domain adaptation and concept-based language modelling
NAACL 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy
AISTATS 2019