559 citations · 811 across the 14 of their papers we have counts for
4 papers · 1 filter
JaxPruner: A concise library for sparsity research
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell +22
This paper introduces JaxPruner, an open-source JAX-based pruning and sparse training library for machine learning research. JaxPruner aims to accelerate research on sparse neural…
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
MoonJeong Park, Youngbin Choi, Namhoon Lee +1
Learning dynamical systems is a promising avenue for scientific discoveries. However, capturing the governing dynamics in multiple environments still remains a challenge: model-bas…
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Sungbin Shin, Yohan Jo, Sungsoo Ahn +1
Concept bottleneck models (CBMs) are a class of interpretable neural network models that predict the target response of a given input based on its high-level concepts. Unlike the s…
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
Seungwoo Son, Jegwang Ryu, Namhoon Lee +1
Knowledge distillation is an effective method for training lightweight vision models. However, acquiring teacher supervision for training samples is often costly, especially from l…