Liangchen Li

activity

20232026

most citedBalance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective

3 citations · 5 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.CV2023★ 1 cited

$L_{0}$ -Sampler: An $L_{0}$ Model Guided Volume Sampling for NeRF

Liangchen Li, Juyong Zhang

Since being proposed, Neural Radiance Fields (NeRF) have achieved great success in related tasks, mainly adopting the hierarchical volume sampling (HVS) strategy for volume renderi…

cs.LG2023★ 3 cited

Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective

Yifei Wang, Liangchen Li, Jiansheng Yang +2

Adversarial Training (AT) has become arguably the state-of-the-art algorithm for extracting robust features. However, researchers recently notice that AT suffers from severe robust…

L0​-Sampler: An L0​ Model Guided Volume Sampling for NeRF

Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective

$L_{0}$ -Sampler: An $L_{0}$ Model Guided Volume Sampling for NeRF