Understanding Generalization Through Visualizations. - W. Ronny Huang; Zeyad Emam; Micah Goldblum; Liam Fowl; Justin K. Terry; Furong Huang; Tom Goldstein (ICBINB@NeurIPS, 2020)

On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. - Zeyad Emam; Andrew Kondrich; Sasha Harrison; Felix Lau; Yushi Wang; Aerin Kim; Elliot Branson (CoRR, 2021)

Datasets for Studying Generalization from Easy to Hard Examples. - Avi Schwarzschild; Eitan Borgnia; Arjun Gupta; Arpit Bansal; Zeyad Emam; Furong Huang; Micah Goldblum; Tom Goldstein (CoRR, 2021)

End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking. - Arpit Bansal; Avi Schwarzschild; Eitan Borgnia; Zeyad Emam; Furong Huang; Micah Goldblum; Tom Goldstein (NeurIPS, 2022)

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking. - Arpit Bansal; Avi Schwarzschild; Eitan Borgnia; Zeyad Emam; Furong Huang; Micah Goldblum; Tom Goldstein (CoRR, 2022)