Ghada Sokar

Orcid: 0000-0002-1601-1922

According to our database1, Ghada Sokar authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL.
CoRR, 2024

2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates.
CoRR, 2023

The Dormant Neuron Phenomenon in Deep Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Mach. Learn., 2022

Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Where to Pay Attention in Sparse Training for Feature Selection?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamic Sparse Training for Deep Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
SpaceNet: Make Free Space for Continual Learning.
Neurocomputing, 2021

Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning.
CoRR, 2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.
CoRR, 2021

Learning Invariant Representation for Continual Learning.
CoRR, 2021

Continual Lifelong Learning for Intelligent Agents.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Attention Meta-Learner for Continual Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Topological Insights in Sparse Neural Networks.
CoRR, 2020

Topological Insights into Sparse Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
IP Session on Machine Learning Applications in IC Test-Related Tasks.
Proceedings of the 37th IEEE VLSI Test Symposium, 2019


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