Tensor SimRank for Heterogeneous Information Networks. - Ben Usman; Ivan V. Oseledets (CoRR, 2015)

VisDA: The Visual Domain Adaptation Challenge. - Xingchao Peng; Ben Usman; Neela Kaushik; Judy Hoffman; Dequan Wang; Kate Saenko (CoRR, 2017)

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Neela Kaushik; Dequan Wang; Judy Hoffman; Kate Saenko (CVPR Workshops, 2018)

Stable Distribution Alignment Using the Dual of the Adversarial Distance. - Ben Usman; Kate Saenko; Brian Kulis (ICLR (Workshop), 2018)

Unsupervised Video-to-Video Translation. - Dina Bashkirova; Ben Usman; Kate Saenko (CoRR, 2018)

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Kuniaki Saito; Neela Kaushik; Judy Hoffman; Kate Saenko (CoRR, 2018)

PuppetGAN: Cross-Domain Image Manipulation by Demonstration. - Ben Usman; Nick Dufour; Kate Saenko; Chris Bregler (ICCV, 2019)

Adversarial Self-Defense for Cycle-Consistent GANs. - Dina Bashkirova; Ben Usman; Kate Saenko (NeurIPS, 2019)

PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images. - Ben Usman; Nick Dufour; Kate Saenko; Chris Bregler (CoRR, 2019)

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. - Ben Usman; Avneesh Sud; Nick Dufour; Kate Saenko (NeurIPS, 2020)

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Haojin Liao; Samarth Mishra; Chandramouli Rajagopalan; Kate Saenko; Kuniaki Saito; Burhan Ul Tayyab; Piotr Teterwak; Ben Usman (NeurIPS (Competition and Demos), 2021)

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Dina Bashkirova; Dan Hendrycks; Donghyun Kim 006; Samarth Mishra; Kate Saenko; Kuniaki Saito; Piotr Teterwak; Ben Usman (CoRR, 2021)

Disentangled Unsupervised Image Translation via Restricted Information Flow. - Ben Usman; Dina Bashkirova; Kate Saenko (CoRR, 2021)

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. - Ben Usman; Andrea Tagliasacchi; Kate Saenko; Avneesh Sud (CVPR, 2022)

Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. - Dina Bashkirova; Ben Usman; Kate Saenko (WACV, 2022)

Manipulating natural images by learning relationships between visual domains - Ben Usman (2022)

RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. - Ben Usman; Dina Bashkirova; Kate Saenko (WACV, 2023)

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds. - Ziyu Gong; Ben Usman; Han Zhao 002; David I. Inouye (CoRR, 2023)

Towards Practical Non-Adversarial Distribution Matching. - Ziyu Gong; Ben Usman; Han Zhao 002; David I. Inouye (AISTATS, 2024)

FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion. - George Cazenavette; Avneesh Sud; Thomas Leung; Ben Usman (CVPR, 2024)

A Bias-Free Training Paradigm for More General AI-generated Image Detection. - Fabrizio Guillaro; Giada Zingarini; Ben Usman; Avneesh Sud; Davide Cozzolino; Luisa Verdoliva (CVPR, 2025)