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Mina Alibeigi

3 accepted papers

2023

L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning

ICCV 2023poster

The ubiquity of camera-enabled devices has led to large amounts of unlabeled image data being produced at the edge. The integration of self-supervised learning (SSL) and federated learning (FL) into one coherent system can potentially offer data privacy guarantees while also advancing the quality an…

Cited by 25PDFcodeScholar
2023

Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving

ICCV 2023poster

Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360* perception and temporal reasoning. To address this gap, we introduce ZOD, a large-scale and diverse multimodal dataset collected over two years in various European countries, cove…

Cited by 81PDFcodeScholar
2022

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning

UAI 2022poster

In this paper, we consider risk-sensitive sequential decision-making in Reinforcement Learning (RL). Our contributions are two-fold. First, we introduce a novel and coherent quantification of risk, namely composite risk, which quantifies the joint effect of aleatory and epistemic risk during the le…

Cited by 29SourcePDFScholar