Bai Li
13 papers · 2019–2022 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36) 🌈 Renaissance Researcher (6)
🗃️
Keyword Collector
(70)
📈
Trend Setter
💎
Century Club · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Artificial Intelligence
(5)
Architectures
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(5)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Core AI
(2)
Models
(2)
Computer Vision
(1)
Keywords
transformer model
(2)
transformer language model
(2)
adversarial example
(2)
language model
(2)
transfer learning
(1)
domain adaptation
(1)
representation learning
(1)
optimal transport
(1)
adversarial robustness
(1)
machine translation
(1)
image captioning
(1)
parallel corpus
(1)
bert model
(1)
posterior sampling
(1)
markov chain monte carlo
(1)
density estimation
(1)
eye tracking
(1)
feature correspondence
(1)
gaussian process
(1)
deep learning
(1)
Papers
Neural reality of argument structure constructions
ACL 2022
On the data requirements of probing
ACL 2022
How is BERT surprised? Layerwise detection of linguistic anomalies
ACL 2021
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
NAACL 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
Certified Adversarial Robustness with Additive Noise
NeurIPS 2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
NAACL 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling
NAACL 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy
AISTATS 2019