activity
20212026
most citedGemma 4 Technical Report

3 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026★ 3 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

cs.LG2025

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings

Angéline Pouget, Mohammad Yaghini, Stephan Rabanser +1

Deploying machine learning models in safety-critical domains poses a key challenge: ensuring reliable model performance on downstream user data without access to ground truth label…

cs.LG2024

Back to the Drawing Board for Fair Representation Learning

Angéline Pouget, Nikola Jovanović, Mark Vero +2

The goal of Fair Representation Learning (FRL) is to mitigate biases in machine learning models by learning data representations that enable high accuracy on downstream tasks while…

cs.CV2024

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models

Angéline Pouget, Lucas Beyer, Emanuele Bugliarello +4

We study cultural and socioeconomic diversity in contrastive vision-language models (VLMs). Using a broad range of benchmark datasets and evaluation metrics, we bring to attention…

cs.CV2023

Factorizers for Distributed Sparse Block Codes

Michael Hersche, Aleksandar Terzic, Geethan Karunaratne +6

Distributed sparse block codes (SBCs) exhibit compact representations for encoding and manipulating symbolic data structures using fixed-width vectors. One major challenge however…

eess.IV2021

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Kim Byeoung-su, Radu Timofte +29

Image denoising is one of the most critical problems in mobile photo processing. While many solutions have been proposed for this task, they are usually working with synthetic data…

eess.IV2021

Fast and Accurate Camera Scene Detection on Smartphones

Angeline Pouget, Sidharth Ramesh, Maximilian Giang +5

AI-powered automatic camera scene detection mode is nowadays available in nearly any modern smartphone, though the problem of accurate scene prediction has not yet been addressed b…