Yeming Wen
10 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Application Areas
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Models
(3)
Architectures
(2)
Bayesian & Probabilistic
(2)
Learning Types
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Keywords
bayesian neural network
(2)
neural network
(2)
foundation model
(2)
uncertainty quantification
(2)
gaussian process
(1)
data augmentation
(1)
stochastic gradient descent
(1)
model adaptation
(1)
ensemble learning
(1)
label smoothing
(1)
program synthesis
(1)
variance reduction
(1)
weight perturbation
(1)
weight sharing
(1)
lifelong learning
(1)
natural language
(1)
mixture model
(1)
batch processing
(1)
ensemble method
(1)
code generation
(1)
Papers
Batched Low-Rank Adaptation of Foundation Models
ICLR 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NeurIPS 2024
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
Combining Ensembles and Data Augmentation Can Harm Your Calibration
ICLR 2021
Neural Program Generation Modulo Static Analysis
NeurIPS 2021
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
ICLR 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
ICML 2020
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
ICLR 2018