"loss landscape analysis" Papers
9 papers found
How Far Are We from True Unlearnability?
Kai Ye, Liangcai Su, Chenxiong Qian
ICLR 2025posterarXiv:2509.08058
4
citations
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Frank Zhengqing Wu, Berfin Simsek, François Ged
ICLR 2025posterarXiv:2402.05626
2
citations
Theoretical Insights into In-context Learning with Unlabeled Data
Yingcong Li, Xiangyu Chang, Muti Kara et al.
NeurIPS 2025poster
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Yiming Liu, Kezhao Liu, Yao Xiao et al.
ICLR 2025posterarXiv:2404.14309
6
citations
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
NeurIPS 2025poster
Challenges in Training PINNs: A Loss Landscape Perspective
Pratik Rathore, Weimu Lei, Zachary Frangella et al.
ICML 2024poster
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham, The-Anh Ta, Anh Tran et al.
ECCV 2024posterarXiv:2407.14738
1
citations
MD tree: a model-diagnostic tree grown on loss landscape
Yefan Zhou, Jianlong Chen, Qinxue Cao et al.
ICML 2024poster
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu, Jingzhao Zhang
ICML 2024poster