Isha Garg
4 papers · 2021–2024 · 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
Research topics
Keywords
image classification
(1)
continual learning
(1)
temporal coding
(1)
coreset selection
(1)
gradient descent
(1)
singular value decomposition
(1)
second-order optimization
(1)
curvature
(1)
spiking neural network
(1)
deep neural network
(1)
loss function
(1)
data efficiency
(1)
surrogate gradient
(1)
discrete cosine transform
(1)
loss curvature
(1)
weight consolidation
(1)
neural network
(1)
training sample
(1)
orthogonal gradient
(1)
memorization
(1)
Papers
Memorization Through the Lens of Curvature of Loss Function Around Samples
ICML 2024
Samples With Low Loss Curvature Improve Data Efficiency
CVPR 2023
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks
ICCV 2021
Gradient Projection Memory for Continual Learning
ICLR 2021