619 citations · 3.7k across the 114 of their papers we have counts for
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AutoLoss: Learning Discrete Schedules for Alternate Optimization
Haowen Xu, Hao Zhang, Zhiting Hu +3
Many machine learning problems involve iteratively and alternately optimizing different task objectives with respect to different sets of parameters. Appropriately scheduling the o…
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful
Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger +3
Raven's Progressive Matrices are one of the widely used tests in evaluating the human test taker's fluid intelligence. Analogously, this paper introduces geometric generalization b…
Deep Generative Models with Learnable Knowledge Constraints
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov +4
The broad set of deep generative models (DGMs) has achieved remarkable advances. However, it is often difficult to incorporate rich structured domain knowledge with the end-to-end…