Ghada Sokar | DeepAI

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∙ 08/28/2023

Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates

Continual learning (CL) refers to the ability of an intelligent system t...

0 Murat Onur Yildirim, et al. ∙

∙ 02/24/2023

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

In this work we identify the dormant neuron phenomenon in deep reinforce...

0 Ghada Sokar, et al. ∙

∙ 02/13/2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning

Tomorrow's robots will need to distinguish useful information from noise...

6 Bram Grooten, et al. ∙

∙ 11/26/2022

Where to Pay Attention in Sparse Training for Feature Selection?

A new line of research for feature selection based on neural networks ha...

23 Ghada Sokar, et al. ∙

∙ 10/11/2021

Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning

Continual learning agents should incrementally learn a sequence of tasks...

5 Ghada Sokar, et al. ∙

∙ 06/28/2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity

Recent works on sparse neural networks have demonstrated that it is poss...

16 Shiwei Liu, et al. ∙

∙ 06/08/2021

Dynamic Sparse Training for Deep Reinforcement Learning

Deep reinforcement learning has achieved significant success in many dec...

39 Ghada Sokar, et al. ∙

∙ 01/28/2021

Self-Attention Meta-Learner for Continual Learning

Continual learning aims to provide intelligent agents capable of learnin...

11 Ghada Sokar, et al. ∙

∙ 01/15/2021

Learning Invariant Representation for Continual Learning

Continual learning aims to provide intelligent agents that are capable o...

10 Ghada Sokar, et al. ∙

∙ 12/01/2020

Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

Major complications arise from the recent increase in the amount of high...

5 Zahra Atashgahi, et al. ∙

∙ 07/15/2020

SpaceNet: Make Free Space For Continual Learning

The continual learning (CL) paradigm aims to enable neural networks to l...

15 Ghada Sokar, et al. ∙

∙ 06/24/2020

Topological Insights in Sparse Neural Networks

Sparse neural networks are effective approaches to reduce the resource r...

24 Shiwei Liu, et al. ∙

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