Stebėti
Ghada Sokar
Pavadinimas
Cituota
Cituota
Metai
SpaceNet: Make Free Space For Continual Learning
G Sokar, DC Mocanu, M Pechenizkiy
Elsevier Neurocomputing Journal, 2020
332020
Topological Insights in Sparse Neural Networks
S Liu, T Van der Lee, A Yaman, Z Atashgahi, D Ferraro, G Sokar, ...
ECML PKDD 2020, 2020
18*2020
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ...
ICLR 2022.The Tenth International Conference on Learning Representations, 2021
162021
A generic OCR using deep siamese convolution neural networks
G Sokar, EE Hemayed, M Rehan
2018 IEEE 9th Annual Information Technology, Electronics and Mobile …, 2018
142018
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ...
Machine Learning Journal, 2020
102020
Dynamic Sparse Training for Deep Reinforcement Learning
G Sokar, E Mocanu, DC Mocanu, M Pechenizkiy, P Stone
IJCAI-ECAI 2022. The 31st International Joint Conference on Artificial …, 2021
92021
Learning Invariant Representation for Continual Learning
G Sokar, DC Mocanu, M Pechenizkiy
AAAI Workshop on Meta-Learning for Computer Vision (AAAI-2021), 2020
92020
Self-Attention Meta-Learner for Continual Learning
G Sokar, DC Mocanu, M Pechenizkiy
AAMAS 2021. 20th International Conference on Autonomous Agents and …, 2021
82021
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
Z Atashgahi, G Sokar, T van der Lee, E Mocanu, DC Mocanu, R Veldhuis, ...
Machine Learning, 1-38, 2022
72022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
G Sokar, DC Mocanu, M Pechenizkiy
ECMLPKDD2022, 2021
2*2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity
S Liu, T Chen, Z Atashgahi, X Chen, G Sokar, E Mocanu, M Pechenizkiy, ...
arXiv preprint arXiv:2106.14568, 2021
22021
Towards Implementing Truly Sparse Connections in Deep RL Agents
B Grooten, G Sokar, E Mocanu, S Dohare, M Taylor, M Pechenizkiy, ...
Sparsity in Neural Networks: Advancing Understanding and Practice 2022, 2022
2022
Where to Pay Attention in Sparse Training for Feature Selection?
G Sokar, Z Atashgahi, M Pechenizkiy, DC Mocanu
NeurIPS2022, 36th Annual Conference on Neural Information Processing Systems, 2022
2022
SpaceNet: Make Free Space For Continual Learning (Poster)
GAZN Sokar, DC Mocanu, M Pechenizkiy
Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021
2021
Dynamic Sparse Training for Deep Reinforcement Learning (Poster)
GAZN Sokar, E Mocanu, DC Mocanu, M Pechenizkiy, P Stone
Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021
2021
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders (poster)
Z Atashgahi, GAZN Sokar, T van der Lee, E Mocanu, DC Mocanu, ...
Sparsity in Neural Networks: Advancing Understanding and Practice 2021, 2021
2021
Continual Lifelong Learning for Intelligent Agents
G Sokar
IJCAI 2021. International Joint Conferences on Artifical Intelligence (IJCAI), 2021
2021
IP Session on Machine Learning Applications in IC Test-Related Tasks
G Sokar, Y Zakaria, A Rabie, K Madkour, I Leventhal, J Rivoir, X Gu, ...
2019 IEEE 37th VLSI Test Symposium (VTS), 1-1, 2019
2019
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