5 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Deep Structured Prediction with Nonlinear Output Transformations
Colin Graber, Ofer Meshi, Alexander Schwing
Deep structured models are widely used for tasks like semantic segmentation, where explicit correlations between variables provide important prior information which generally helps…
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello, Sayali Kulkarni, Sagar Jain +6
Ranking is a central task in machine learning and information retrieval. In this task, it is especially important to present the user with a slate of items that is appealing as a w…
Planning and Learning with Stochastic Action Sets
Craig Boutilier, Alon Cohen, Amit Daniely +5
In many practical uses of reinforcement learning (RL) the set of actions available at a given state is a random variable, with realizations governed by an exogenous stochastic proc…