Yeming Wen
10 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14) π Renaissance Researcher (5)
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π
Century Club
(10)
π
Conference Pioneer
Conferences
ICLR (4)
NIPS (2)
ACL (1)
AISTATS (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
uncertainty quantification
(2)
stochastic gradient descent
(1)
variational inference
(1)
code generation
(1)
program synthesis
(1)
model adaptation
(1)
gaussian process
(1)
natural language
(1)
mixture model
(1)
synthetic datum
(1)
foundation model
(1)
out-of-distribution detection
(1)
influence function
(1)
data attribution
(1)
bayesian neural network
(1)
deep generative model
(1)
gradient variance
(1)
batch size
(1)
few-shot prompting
(1)
code language model
(1)
Papers
Batched Low-Rank Adaptation of Foundation Models
ICLR 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NIPS 2024
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Neural Program Generation Modulo Static Analysis
NIPS 2021
Combining Ensembles and Data Augmentation Can Harm Your Calibration
ICLR 2021
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
ICML 2020
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
ICLR 2020
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
ICLR 2018