Decebal Constantin Mocanu
15 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Deep Learning
(9)
Application Areas
(5)
Architectures
(5)
Techniques
(5)
Learning Types
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Analysis
(1)
Keywords
dynamic sparse training
(6)
sparse neural network
(4)
neural network pruning
(3)
sparse training
(3)
feature selection
(2)
convolutional neural network
(2)
image classification
(2)
dynamic sparsity
(2)
stochastic gradient descent
(1)
object detection
(1)
deep reinforcement learning
(1)
computer vision
(1)
model robustness
(1)
attention mechanism
(1)
adversarial robustness
(1)
lottery ticket hypothesis
(1)
time series classification
(1)
efficient computing
(1)
continuous control
(1)
sample efficiency
(1)
Papers
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
ICLR 2025
Dynamic Data Pruning for Automatic Speech Recognition
Interspeech 2024
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
NeurIPS 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks
AISTATS 2024
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
NeurIPS 2023
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
ICLR 2023
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
ICLR 2022
Dynamic Sparse Network for Time Series Classification: Learning What to βSeeβ
NeurIPS 2022
Dynamic Sparse Training for Deep Reinforcement Learning
IJCAI 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
ICLR 2022
Where to Pay Attention in Sparse Training for Feature Selection?
NeurIPS 2022
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
ICML 2021
Selfish Sparse RNN Training
ICML 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
NeurIPS 2021
On the Synergy of Network Science and Artificial Intelligence
IJCAI 2016