3 papers
stat.ML2026
LassoFlexNet: Flexible Neural Architecture for Tabular Data
Kry Yik Chau Lui, Cheng Chi, Kishore Basu +1
Despite their dominance in vision and language, deep neural networks often underperform relative to tree-based models on tabular data. To bridge this gap, we incorporate five key i…
cs.LG2025
Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
Yuqiao Wen, Yanshuai Cao, Lili Mou
Large language models have been increasing in size due to their success in a wide range of applications. This calls for a pressing need to reduce memory usage to make them more acc…
cs.LG2024
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Yongchang Hao, Yanshuai Cao, Lili Mou
The performance of neural networks improves when more parameters are used. However, the model sizes are constrained by the available on-device memory during training and inference.…