Alexander Cloninger
4 papers · 2020–2021 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
neural network quantization
(1)
model compression
(1)
dimensionality reduction
(1)
manifold learning
(1)
graph laplacian
(1)
feature extraction
(1)
coreset selection
(1)
knowledge distillation
(1)
procrustes analysis
(1)
sensor placement
(1)
spectral embedding
(1)
graph convolutional network
(1)
weighted subset
(1)
semi-supervised node classification
(1)
dimensional reduction
(1)
parallel training
(1)
Papers
LDLE: Low Distortion Local Eigenmaps
JMLR 2021
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
UAI 2020
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
ICML 2020
Variational Diffusion Autoencoders with Random Walk Sampling
ECCV 2020