Julia Gusak
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Keywords
model compression
(1)
deep learning
(1)
continuous optimization
(1)
distributed training
(1)
piecewise constant approximation
(1)
memory efficiency
(1)
memory optimization
(1)
activation memory
(1)
activation function
(1)
memory footprint
(1)
adjoint method
(1)
neural ode
(1)
computation graph
(1)
gradient quantization
(1)
gradient propagation
(1)
gradient checkpointing
(1)
mixed precision training
(1)
computational graph
(1)
large language model
(1)
activation checkpointing
(1)
Papers
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
ICML 2025
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
ICML 2023
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
ICML 2023
Survey on Efficient Training of Large Neural Networks
IJCAI 2022
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
NeurIPS 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
ECCV 2020