Poster "loss landscape analysis" Papers

16 papers found

Attention with Markov: A Curious Case of Single-layer Transformers

Ashok Makkuva, Marco Bondaschi, Adway Girish et al.

ICLR 2025arXiv:2402.04161
39
citations

How Far Are We from True Unlearnability?

Kai Ye, Liangcai Su, Chenxiong Qian

ICLR 2025arXiv:2509.08058
4
citations

Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries

Akira Ito, Masanori Yamada, Atsutoshi Kumagai

ICML 2025

Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding

Frank Zhengqing Wu, Berfin Simsek, François Ged

ICLR 2025arXiv:2402.05626
2
citations

Revisiting Mode Connectivity in Neural Networks with Bezier Surface

Jie Ren, Pin-Yu Chen, Ren Wang

ICLR 2025
3
citations

RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models

Yingsha Xie, Rui Min, Zeyu Qin et al.

NEURIPS 2025

Theoretical Insights into In-context Learning with Unlabeled Data

Yingcong Li, Xiangyu Chang, Muti Kara et al.

NEURIPS 2025

Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training

Minhak Song, Beomhan Baek, Kwangjun Ahn et al.

NEURIPS 2025arXiv:2507.09846
2
citations

Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes

Jumin Han, Jun-Hui Kim, Seong-Whan Lee

NEURIPS 2025

Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective

Yiming Liu, Kezhao Liu, Yao Xiao et al.

ICLR 2025arXiv:2404.14309
7
citations

Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations

Xuyang Zhong, Yixiao Huang, Chen Liu

NEURIPS 2025

Challenges in Training PINNs: A Loss Landscape Perspective

Pratik Rathore, Weimu Lei, Zachary Frangella et al.

ICML 2024arXiv:2402.01868
116
citations

Flatness-aware Sequential Learning Generates Resilient Backdoors

Hoang Pham, The-Anh Ta, Anh Tran et al.

ECCV 2024arXiv:2407.14738
1
citations

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning

Yixiong Zou, Yicong Liu, Yiman Hu et al.

CVPR 2024arXiv:2403.00567
23
citations

MD tree: a model-diagnostic tree grown on loss landscape

Yefan Zhou, Jianlong Chen, Qinxue Cao et al.

ICML 2024arXiv:2406.16988
2
citations

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Jing Xu, Jingzhao Zhang

ICML 2024arXiv:2405.02596
13
citations