Alexandra Peste
6 papers · 2021–2023 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (4) π Interdisciplinary Bridge π Cross-Pollinator (15) π§ Keyword Pioneer
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Hot Topic Early Bird
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The Questioner
Conferences
CVPR (2)
NIPS (2)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
model compression
(4)
neural network pruning
(2)
convolutional neural network
(2)
model pruning
(2)
sparse model
(2)
transfer learning
(1)
knowledge distillation
(1)
convergence analysis
(1)
efficient inference
(1)
model uncertainty
(1)
network sparsification
(1)
variance reduction
(1)
compressed training
(1)
neural network compression
(1)
deep neural network
(1)
bias analysis
(1)
sparse training
(1)
sparse neural network
(1)
neural network sparsity
(1)
student model
(1)
Papers
Knowledge Distillation Performs Partial Variance Reduction
NIPS 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
CVPR 2023
CrAM: A Compression-Aware Minimizer
ICLR 2023
How Well Do Sparse ImageNet Models Transfer?
CVPR 2022
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
NIPS 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
JMLR 2021