6 citations · 13 across the 5 of their papers we have counts for
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cs.LG2024
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
Zhenyu Zhang, Ajay Jaiswal, Lu Yin +4
Training Large Language Models (LLMs) is memory-intensive due to the large number of parameters and associated optimization states. GaLore, a recent method, reduces memory usage by…
cs.LG2023★ 1 cited
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu, Tianlong Chen, Zhenyu Zhang +4
Sparse Neural Networks (SNNs) have received voluminous attention predominantly due to growing computational and memory footprints of consistently exploding parameter count in large…
cs.LG2023★ 6 cited
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal +2
Despite their remarkable achievement, gigantic transformers encounter significant drawbacks, including exorbitant computational and memory footprints during training, as well as se…