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Lu Yin
Lu Yin
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Sparse training via boosting pruning plasticity with neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
Advances in Neural Information Processing Systems 34, 9908-9922, 2021
1092021
Do we actually need dense over-parameterization? in-time over-parameterization in sparse training
S Liu, L Yin, DC Mocanu, M Pechenizkiy
International Conference on Machine Learning, 6989-7000, 2021
1082021
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained Graph Tickets
T Huang, T Chen, M Fang, V Menkovski, J Zhao, L Yin, Y Pei, DC Mocanu, ...
[LoG BEST PAPER] Learning on Graphs Conference, LOG 2022, 2022
18*2022
Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity
L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, M Pechenizkiy, Y Liang, ...
[ICML 2024] The Forty-first International Conference on Machine Learning, 2023
162023
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
L Yin, S Liu, M Fang, T Huang, V Menkovski, M Pechenizkiy
[AAAI 2023] Thirty-Seventh AAAI Conference on Artificial Intelligence., 2022
102022
Dynamic Sparsity Is Channel-Level Sparsity Learner
L Yin, G Li, M Fang, L Shen, T Huang, Z Wang, V Menkovski, X Ma, ...
[Neurips 2023], 2023
92023
Are Large Kernels Better Teachers than Transformers for ConvNets?
T Huang, L Yin, Z Zhang, L Shen, M Fang, M Pechenizkiy, Z Wang, S Liu
[ICML 2023] International Conference on Machine Learning, 2023
92023
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Z Atashgahi, X Zhang, N Kichler, S Liu, L Yin, M Pechenizkiy, R Veldhuis, ...
[TMLR] Transactions on Machine Learning Research, 2023
72023
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
L Yin, V Menkovski, M Fang, T Huang, Y Pei, M Pechenizkiy, DC Mocanu, ...
[UAI 2022] The 38th Conference on Uncertainty in Artificial Intelligence, 2022
72022
Knowledge Elicitation using Deep Metric Learning and Psychometric Testing
L Yin, V Menkovski, M Pechenizkiy
[ECML 2020] European Conference on Machine Learning, 2020
72020
Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs
L Yin, S Liu, A Jaiswal, S Kundu, Z Wang
[ICML 2024] The Forty-first International Conference on Machine Learning, 2023
5*2023
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
A Jaiswal, B Hu, L Yin, Y Ro, S Liu, T Chen, A Akella
arXiv preprint arXiv:2404.03865, 2024
22024
Enhancing Adversarial Training via Reweighting Optimization Trajectory
T Huang, S Liu, T Chen, M Fang, L Shen, V Menkovski, L Yin, Y Pei, ...
[ECML PKDD 2023] European Conference on Machine Learning and Principles and …, 2023
22023
Hierarchical Semantic Segmentation using Psychometric Learning
L Yin, V Menkovski, S Liu, M Pechenizkiy
[ACML 2021 LONG ORAL] Asian Conference on Machine Learning, 2021
22021
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
G Li, L Yin, J Ji, W Niu, M Qin, B Ren, L Guo, S Liu, X Ma
[ICLR 2024] The Twelfth International Conference on Learning Representations, 2023
1*2023
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
L Yin, V Menkovski, Y Pei, M Pechenizkiy
[AAAI 2022 IML Workshop] AAAI 2022 Workshop on Interactive Machine Learning, 2021
12021
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
J Ji, G Li, L Yin, M Qin, G Yuan, L Guo, S Liu, X Ma
Forty-first International Conference on Machine Learning, 0
1
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients
A Jaiswal, L Yin, Z Zhang, S Liu, J Zhao, Y Tian, Z Wang
arXiv preprint arXiv:2407.11239, 2024
2024
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
Z Zhang, A Jaiswal, L Yin, S Liu, J Zhao, Y Tian, Z Wang
arXiv preprint arXiv:2407.08296, 2024
2024
Dynamic Data Pruning for Automatic Speech Recognition
Q Xiao, P Ma, A Fernandez-Lopez, B Wu, L Yin, S Petridis, M Pechenizkiy, ...
arXiv preprint arXiv:2406.18373, 2024
2024
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