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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) volume 14169 LNAI 113-130 (01 Jan 2023)
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training
 Zhao, J Yin, L Liu, S Fang, M Pechenizkiy, M Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) volume 14170 LNAI 313-329 (01 Jan 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)
Dynamic Sparsity Is Channel-Level Sparsity Learner
 Yin, L Li, G Fang, M Shen, L Huang, T Wang, Z Menkovski, V Ma, X Pechenizkiy, M Liu, S Advances in Neural Information Processing Systems volume 36 (01 Jan 2023)
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
 Jaiswal, A Liu, S Chen, T Wang, Z Advances in Neural Information Processing Systems volume 36 (01 Jan 2023)
Don't Just Prune by Magnitude! Your Mask Topology is Another Secret Weapon
 Hoang, D Kundu, S Liu, S Wang, Z Advances in Neural Information Processing Systems volume 36 (01 Jan 2023)
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
 Pham, H Ta, T Liu, S Xiang, L Le, D Wen, H Tran-Thanh, L Advances in Neural Information Processing Systems volume 36 (01 Jan 2023)
MORE CONVNETS IN THE 2020S: SCALING UP KERNELS BEYOND 51 × 51 USING SPARSITY
 Liu, S Chen, T Chen, X Xiao, Q Wu, B Kärkkäinen, T Pechenizkiy, M Mocanu, D Wang, Z 11th International Conference on Learning Representations, ICLR 2023 (01 Jan 2023)
SPARSE MOE AS THE NEW DROPOUT: SCALING DENSE AND SELF-SLIMMABLE TRANSFORMERS
 Chen, T Zhang, Z Jaiswal, A Liu, S Wang, Z 11th International Conference on Learning Representations, ICLR 2023 (01 Jan 2023)
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
 Atashgahi, Z Zhang, X Kichler, N Liu, S Yin, L Pechenizkiy, M Veldhuis, R Mocanu, D Transactions on Machine Learning Research volume 2023-February (01 Feb 2023)
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