ML Anthology

Hoffmann, Heiko

7 publications

CVPRW 2022 Few-Shot Image Classification Along Sparse Graphs Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann
NeurIPS 2021 Pooling by Sliced-Wasserstein Embedding Navid Naderializadeh, Joseph F Comer, Reed Andrews, Heiko Hoffmann, Soheil Kolouri
ICLR 2021 Wasserstein Embedding for Graph Learning Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
CVPR 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
CVPR 2019 Explainability Methods for Graph Convolutional Neural Networks Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
CVPR 2018 Sliced Wasserstein Distance for Learning Gaussian Mixture Models Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
CVPRW 2017 Explaining Distributed Neural Activations via Unsupervised Learning Soheil Kolouri, Charles E. Martin, Heiko Hoffmann