"out-of-distribution data" Papers

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Conference

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Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.

AAAI 2025paperarXiv:2412.16901
4
citations

RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator

SangYong Lee, Sangjun Chung, Simon Woo

NEURIPS 2025

Defense against Model Extraction Attack by Bayesian Active Watermarking

Zhenyi Wang, Yihan Wu, Heng Huang

ICML 2024

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi

ECCV 2024arXiv:2407.16698
29
citations

Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks

Yunfei Long, Zilin Tian, Liguo Zhang et al.

ICML 2024

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.

AAAI 2024paperarXiv:2402.16255
5
citations