Yinjun Wu
7 papers · 2020–2025 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (5) π Cross-Pollinator (13)
π
Interdisciplinary Bridge
π
Trend Setter
β
The Questioner
Conferences
ICML (5)
AAAI (2)
Top co-authors
Keywords
model compression
(1)
unsupervised learning
(1)
representation learning
(1)
variational inference
(1)
transfer learning
(1)
k-means clustering
(1)
uncertainty quantification
(1)
test-time adaptation
(1)
incremental learning
(1)
time series forecasting
(1)
multivariate time series
(1)
generative model
(1)
gaussian mixture model
(1)
gradient approximation
(1)
bi-level optimization
(1)
deep generative model
(1)
machine learning model
(1)
bias reduction
(1)
model interpretation
(1)
rule extraction
(1)
Papers
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
ICML 2025
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
ICML 2024
Towards Compositionality in Concept Learning
ICML 2024
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
ICML 2023
Learning to Select Pivotal Samples for Meta Re-weighting
AAAI 2023
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
DeltaGrad: Rapid retraining of machine learning models
ICML 2020