Ghada Sokar - RankMe

34 papers A* 7A 3Misc 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Continual Learning in Vision-Language Models via Aligned Model Merging. CoRR Ghada Sokar, Gintare Karolina Dziugaite, Anurag Arnab, Ahmet Iscen, Pablo Samuel Castro, Cordelia Schmid
2025	A*	`conf`	Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. ICLR Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro
2025	J	`jnl`	Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning. CoRR Ghada Sokar, Pablo Samuel Castro
2025	J	`jnl`	NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling. CoRR Bram Grooten, Farid Hasanov, Chenxiang Zhang, Qiao Xiao, Boqian Wu, Zahra Atashgahi, Ghada Sokar, Shiwei Liu, Lu Yin, Elena Mocanu, Mykola Pechenizkiy, Decebal Constantin Mocanu
2025	J	`jnl`	What Can Grokking Teach Us About Learning Under Nonstationarity? CoRR Clare Lyle, Ghada Sokar, Razvan Pascanu, András György
2024	—	`conf`	Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates. CPAL Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren
2024	J	`jnl`	Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. CoRR Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro
2024	A*	`conf`	Mixtures of Experts Unlock Parameter Scaling for Deep RL. ICML Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
2024	J	`jnl`	Mixtures of Experts Unlock Parameter Scaling for Deep RL. CoRR Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob N. Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
2024	A	`conf`	Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks. AISTATS Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	A	`conf`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	J	`jnl`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	J	`jnl`	Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates. CoRR Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren
2023	A*	`conf`	The Dormant Neuron Phenomenon in Deep Reinforcement Learning. ICML Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci
2023	J	`jnl`	The Dormant Neuron Phenomenon in Deep Reinforcement Learning. CoRR Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci
2022	—	`conf`	Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks. ECML/PKDD (3) Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2022	A*	`conf`	Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022	A*	`conf`	Dynamic Sparse Training for Deep Reinforcement Learning. IJCAI Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2022	J	`jnl`	Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Mach. Learn. Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2022	A*	`conf`	Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu
2022	J	`jnl`	Where to Pay Attention in Sparse Training for Feature Selection? CoRR Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu
2021	J	`jnl`	Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	A*	`conf`	Continual Lifelong Learning for Intelligent Agents. IJCAI Ghada Sokar
2021	J	`jnl`	Dynamic Sparse Training for Deep Reinforcement Learning. CoRR Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2021	J	`jnl`	FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	J	`jnl`	Learning Invariant Representation for Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	A	`conf`	Self-Attention Meta-Learner for Continual Learning. AAMAS Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	J	`jnl`	Self-Attention Meta-Learner for Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	J	`jnl`	SpaceNet: Make Free Space for Continual Learning. Neurocomputing Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2020	J	`jnl`	Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. CoRR Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2020	J	`jnl`	SpaceNet: Make Free Space For Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2020	J	`jnl`	Topological Insights in Sparse Neural Networks. CoRR Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2020	—	`conf`	Topological Insights into Sparse Neural Networks. ECML/PKDD (3) Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2019	Misc	`conf`	IP Session on Machine Learning Applications in IC Test-Related Tasks. VTS Ghada Sokar, Yassin Zakaria, Asmaa Rabie, Kareem Madkour, Ira Leventhal, Jochen Rivoir, Xinli Gu, Haralampos-G. D. Stratigopoulos