Gaurav Patel — accepted AI-conference papers

2025

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement

Gaurav Patel, Christopher Michael Sandino, Behrooz Mahasseni, Ellen L. Zippi, Erdrin Azemi, Ali Moin +1

ICLR 2025poster

In this paper, we propose a framework for efficient Source-Free Domain Adaptation (SFDA) in the context of time-series, focusing on enhancing both parameter efficiency and data-sample utilization. Our approach introduces an improved paradigm for source-model preparation and target-side adaptation, a…

Cited by 1 Source ↗PDF ↗Scholar ↗

2025

Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning

Gaurav Patel, Qiang Qiu

ICCV 2025poster

Machine Unlearning has recently garnered significant attention, aiming to selectively remove knowledge associated with specific data while preserving the model's performance on the remaining data. A fundamental challenge in this process is balancing effective unlearning with knowledge retention, as…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu

CVPR 2023poster

Data-free Knowledge Distillation (DFKD) has gained popularity recently, with the fundamental idea of carrying out knowledge transfer from a Teacher neural network to a Student neural network in the absence of training data. However, in the Adversarial DFKD framework, the student network's accuracy,…

Cited by 37 Source ↗PDF ↗Scholar ↗