Probabilistic Multileave for Online Retrieval Evaluation. - Anne Schuth; Robert-Jan Bruintjes; Fritjof Buüttner; Joost van Doorn; Carla Groenland; Harrie Oosterhuis; Cong-Nguyen Tran; Bas Veeling; Jos van der Velde; Roger Wechsler; David Woudenberg; Maarten de Rijke (SIGIR, 2015)

VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Jan van Gemert (CoRR, 2021)

Domain Adaptation for Rare Classes Augmented with Synthetic Samples. - Tuhin Das; Robert-Jan Bruintjes; Attila Lengyel 001; Jan van Gemert; Sara Beery (CoRR, 2021)

FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. - David W. Romero; Robert-Jan Bruintjes; Jakub Mikolaj Tomczak; Erik J. Bekkers; Mark Hoogendoorn; Jan van Gemert (ICLR, 2022)

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Attila Lengyel 001; Robert-Jan Bruintjes; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2022)

What Affects Learned Equivariance in Deep Image Recognition Models? - Robert-Jan Bruintjes; Tomasz Motyka; Jan van Gemert (CVPR Workshops, 2023)

Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. - Jan Warchocki; Teodor Oprescu; Yunhan Wang; Alexandru Damacus; Paul Misterka; Robert-Jan Bruintjes; Attila Lengyel 001; Ombretta Strafforello; Jan van Gemert (ICCV (Workshops), 2023)

Color Equivariant Convolutional Networks. - Attila Lengyel 001; Ombretta Strafforello; Robert-Jan Bruintjes; Alexander Gielisse; Jan van Gemert (NeurIPS, 2023)

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2023)

Scale Learning in Scale-Equivariant Convolutional Networks. - Mark Basting; Robert-Jan Bruintjes; Thaddäus Wiedemer; Matthias Kümmerer; Matthias Bethge; Jan van Gemert (VISIGRAPP (2): VISAPP, 2024)

VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2024)

Learning to Adapt to Position Bias in Vision Transformer Classifiers. - Robert-Jan Bruintjes; Jan van Gemert (CoRR, 2025)

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective. - Robert-Jan Bruintjes; Attila Lengyel 001; Osman Semih Kayhan; Davide Zambrano; Nergis Tömen; Hadi Jamali Rad; Jan van Gemert (CoRR, 2025)