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Intrinsic Reward Driven Imitation Learning via Generative Model
Imitation learning in a high-dimensional environment is challenging. Mos...
06/26/2020 ∙ by Xingrui Yu, et al. ∙
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Stochastic Implicit Natural Gradient for Black-box Optimization
Black-box optimization is primarily important for many compute-intensive...
10/09/2019 ∙ by Yueming Lyu, et al. ∙
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Curriculum Loss: Robust Learning and Generalization against Label Corruption
Generalization is vital important for many deep network models. It becom...
05/24/2019 ∙ by Yueming Lyu, et al. ∙
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Efficient Batch Black-box Optimization with Deterministic Regret Bounds
In this work, we investigate black-box optimization from the perspective...
05/24/2019 ∙ by Yueming Lyu, et al. ∙
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Marginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have f...
05/21/2019 ∙ by Yuan Yuan, et al. ∙
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