Search Results for author: Sima Behpour

Found 7 papers, 1 papers with code

Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer

no code implementations ICML Workshop LifelongML 2020 Seungwon Lee, Sima Behpour, Eric Eaton

In deep networks, transferring the appropriate granularity of knowledge is as important as the transfer mechanism, and must be driven by the relationships among tasks.

Active Learning in Video Tracking

no code implementations29 Dec 2019 Sima Behpour

We evaluate this approach algorithmically in an important structured prediction problems: object tracking in videos.

Active Learning General Classification +4

Efficient and Consistent Adversarial Bipartite Matching

no code implementations ICML 2018 Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian Ziebart

Many important structured prediction problems, including learning to rank items, correspondence-based natural language processing, and multi-object tracking, can be formulated as weighted bipartite matching optimizations.

Learning-To-Rank Multi-Object Tracking +1

ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection

no code implementations21 Oct 2017 Sima Behpour, Kris M. Kitani, Brian D. Ziebart

We aim to find an optimal adversarial perturbations of the ground truth data (i. e., the worst case perturbations) that forces the object bounding box predictor to learn from the hardest distribution of perturbed examples for better test-time performance.

Data Augmentation Object Detection +1

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