Ghada Sokar

According to our database, Ghada Sokar authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL.

Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro

CoRR, 2024

Mixtures of Experts Unlock Parameter Scaling for Deep RL.

Johan Samir Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks.

Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

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

Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren

CoRR, 2023

The Dormant Neuron Phenomenon in Deep Reinforcement Learning.

Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci

Proceedings of the International Conference on Machine Learning, 2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.

Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu

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.

Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

Mach. Learn., 2022

Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks.

Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Where to Pay Attention in Sparse Training for Feature Selection?

Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu

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.

Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone

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.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SpaceNet: Make Free Space for Continual Learning.

Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy

Neurocomputing, 2021

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

Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy

CoRR, 2021

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

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

CoRR, 2021

Learning Invariant Representation for Continual Learning.

Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy

CoRR, 2021

Continual Lifelong Learning for Intelligent Agents.

Ghada Sokar

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Attention Meta-Learner for Continual Learning.

Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Topological Insights in Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

CoRR, 2020

Topological Insights into Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

IP Session on Machine Learning Applications in IC Test-Related Tasks.

Ghada Sokar, Yassin Zakaria, Asmaa Rabie, Kareem Madkour, Ira Leventhal, Jochen Rivoir, Xinli Gu, Haralampos-G. D. Stratigopoulos

Proceedings of the 37th IEEE VLSI Test Symposium, 2019