Alexandra Peste
6 papers · 2021–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI · Artificial Intelligence
(4)
Techniques
(3)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
model compression
(5)
neural network pruning
(2)
sparse model
(2)
convolutional neural network
(2)
model pruning
(2)
knowledge distillation
(1)
convergence analysis
(1)
efficient inference
(1)
model uncertainty
(1)
variance reduction
(1)
deep neural network
(1)
bias analysis
(1)
weight pruning
(1)
sparse training
(1)
sparse neural network
(1)
neural network sparsity
(1)
student model
(1)
sparse network
(1)
student-teacher learning
(1)
model fairness
(1)
Papers
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
CVPR 2023
CrAM: A Compression-Aware Minimizer
ICLR 2023
Knowledge Distillation Performs Partial Variance Reduction
NeurIPS 2023
How Well Do Sparse ImageNet Models Transfer?
CVPR 2022
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
NeurIPS 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
JMLR 2021