Ning Miao
9 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§
Keyword Pioneer
ποΈ
Keyword Collector
(52)
π
Trend Setter
β
The Questioner
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Natural Language Processing
(7)
Artificial Intelligence
(5)
Generation
(5)
Learning Types Β· Machine Learning
(5)
Core AI
(4)
Models
(4)
Optimization & Theory
(4)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Architectures
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Keywords
text generation
(5)
variational autoencoder
(2)
metropolis-hastings sampling
(2)
representation learning
(2)
kernel learning
(1)
self-supervised learning
(1)
bayesian inference
(1)
chain-of-thought reasoning
(1)
text classification
(1)
natural language generation
(1)
exponential family
(1)
markov chain monte carlo
(1)
maximum likelihood
(1)
probability distribution
(1)
density ratio estimation
(1)
data augmentation
(1)
maximum likelihood estimation
(1)
generative model
(1)
autoregressive model
(1)
natural language processing
(1)
Papers
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
ICLR 2024
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
On Incorporating Inductive Biases into VAEs
ICLR 2022
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
ICML 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
ACL 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
AAAI 2019
Generating Fluent Adversarial Examples for Natural Languages
ACL 2019
Kernelized Bayesian Softmax for Text Generation
NeurIPS 2019