You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
Huang, T
Chen, T
Fang, M
Menkovski, V
Zhao, J
Yin, L
Pei, Y
Mocanu, D
Wang, Z
Pechenizkiy, M
Liu, S
Proceedings of Machine Learning Research
volume 198
(01 Jan 2022)
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline
Cai, R
Chen, X
Liu, S
Srinivasa, J
Lee, M
Kompella, R
Wang, Z
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
5037-5045
(Jun 2023)
Data Augmented Flatness-aware Gradient Projection for Continual Learning
Yang, E
Shen, L
Wang, Z
Liu, S
Guo, G
Wang, X
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
5607-5616
(01 Oct 2023)
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
Yin, L
Liu, S
Fang, M
Huang, T
Menkovski, V
Pechenizkiy, M
Proceedings of the AAAI Conference on Artificial Intelligence
volume 37
issue 9
10945-10953
(26 Jun 2023)
Are Large Kernels Better Teachers than Transformers for ConvNets?
Huang, T
Yin, L
Zhang, Z
Shen, L
Fang, M
Pechenizkiy, M
Wang, Z
Liu, S
Proceedings of Machine Learning Research
volume 202
14023-14038
(01 Jan 2023)
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Jaiswal, A
Liu, S
Chen, T
Ding, Y
Wang, Z
Proceedings of Machine Learning Research
volume 202
14691-14701
(01 Jan 2023)
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Jaiswal, A
Liu, S
Chen, T
Ding, Y
Wang, Z
Proceedings of Machine Learning Research
volume 202
14679-14690
(01 Jan 2023)
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Huang, T
Liu, S
Chen, T
Fang, M
Shen, L
Menkovski, V
Yin, L
Pei, Y
Pechenizkiy, M
113-130
(17 Sep 2023)
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training
Zhao, J
Yin, L
Liu, S
Fang, M
Pechenizkiy, M
313-329
(17 Sep 2023)
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Hoang, D
Liu, S
Marculescu, R
Wang, Z
11th International Conference on Learning Representations, ICLR 2023
(01 Jan 2023)