2 papers
cs.LG2026
Output-aware Residual Stream Pruning for Large Language Models
Chayne Thrash, Kevin Chen, Soheil Kolouri
Residual stream pruning methods reduce inference cost by shrinking the model's hidden dimension, but existing approaches typically choose these dimensions by minimizing activation…
cs.LG2019
Capturing Evolution Genes for Time Series Data
Wenjie Hu, Jianping Huang, Liang Wu +5
The modeling of time series is becoming increasingly critical in a wide variety of applications. Overall, data evolves by following different patterns, which are generally caused b…