The hardness of the Expected Decision Depth problem. - Dana Ron; Amir Rosenfeld; Salil P. Vadhan (Inf. Process. Lett., 2007)

Extracting foreground masks towards object recognition. - Amir Rosenfeld; Daphna Weinshall (ICCV, 2011)

On the Importance of Objects in Human Action Classification. - Amir Rosenfeld; Shimon Ullman (CoRR, 2015)

Visual Concept Recognition and Localization via Iterative Introspection. - Amir Rosenfeld; Shimon Ullman (ACCV (5), 2016)

Hand-Object Interaction and Precise Localization in Transitive Action Recognition. - Amir Rosenfeld; Shimon Ullman (CRV, 2016)

Face-space Action Recognition by Face-Object Interactions. - Amir Rosenfeld; Shimon Ullman (CoRR, 2016)

Priming Neural Networks. - Amir Rosenfeld; Mahdi Biparva; John K. Tsotsos (CVPR Workshops, 2018)

Totally Looks Like - How Humans Compare, Compared to Machines. - Amir Rosenfeld; Markus D. Solbach; John K. Tsotsos (CVPR Workshops, 2018)

Action Classification via Concepts and Attributes. - Amir Rosenfeld; Shimon Ullman (ICPR, 2018)

Challenging Images For Minds and Machines. - Amir Rosenfeld; John K. Tsotsos (CoRR, 2018)

Bridging Cognitive Programs and Machine Learning. - Amir Rosenfeld; John K. Tsotsos (CoRR, 2018)

The Elephant in the Room. - Amir Rosenfeld; Richard S. Zemel; John K. Tsotsos (CoRR, 2018)

Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. - Amir Rosenfeld; John K. Tsotsos (CRV, 2019)

High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks. - Amir Rosenfeld; Richard S. Zemel; John K. Tsotsos (CoRR, 2019)

A Constructive Prediction of the Generalization Error Across Scales. - Jonathan S. Rosenfeld; Amir Rosenfeld; Yonatan Belinkov; Nir Shavit (ICLR, 2020)

Incremental Learning Through Deep Adaptation. - Amir Rosenfeld; John K. Tsotsos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

De-confusing Pseudo-labels in Source-Free Domain Adaptation. - Idit Diamant; Amir Rosenfeld; Idan Achituve; Jacob Goldberger; Arnon Netzer (ECCV (79), 2024)

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. - Idan Achituve; Hai Victor Habi; Amir Rosenfeld; Arnon Netzer; Idit Diamant; Ethan Fetaya (CoRR, 2025)