output
20182026
most citedSPICE: Semantic Pseudo-labeling for Image Clustering

187 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2026

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

Mingzhi Chen, Yiyu Gui, Guibo Luo +1

Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End-to-end models require task-specifi…

cs.LG2024

Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning

Jihyeon Seong, Sekwang Oh, Jaesik Choi

Trend filtering simplifies complex time series data by applying smoothness to filter out noise while emphasizing proximity to the original data. However, existing trend filtering m…

cs.LG2022★ 1 cited

Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks

Zhiwei Bai, Tao Luo, Zhi-Qin John Xu +1

Understanding the relation between deep and shallow neural networks is extremely important for the theoretical study of deep learning. In this work, we discover an embedding princi…

cs.LG2021★ 21 cited

Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks

Yaoyu Zhang, Tao Luo, Zheng Ma +1

Why heavily parameterized neural networks (NNs) do not overfit the data is an important long standing open question. We propose a phenomenological model of the NN training to expla…

cs.LG2019★ 70 cited

Theory of the Frequency Principle for General Deep Neural Networks

Tao Luo, Zheng Ma, Zhi-Qin John Xu +1

Along with fruitful applications of Deep Neural Networks (DNNs) to realistic problems, recently, some empirical studies of DNNs reported a universal phenomenon of Frequency Princip…